{"doc_id": "0006756580f70d57d6d9310f95435cbd", "text": "--1--\nSELECT COUNT(*) AS [Count]\nFROM WizzardDeposits\n--2--\nSELECT MAX(MagicWandSize) \nAS LongestMagicWand\nFROM WizzardDeposits\n--3--\nSELECT DepositGroup, MAX(MagicWandSize) AS LongestMagicWand\nFROM WizzardDeposits\nGROUP BY DepositGroup\n--4--\nSELECT TOP (2) DepositGroup\nFROM WizzardDeposits\nGROUP BY DepositGroup\nORDER BY AVG(MagicWandSize)\n--5--\nSELECT DepositGroup, SUM(DepositAmount) AS TotalSum\nFROM WizzardDeposits\nGROUP BY DepositGroup\n--6--\nSELECT * FROM WizzardDeposits\nSELECT DepositGroup, SUM(DepositAmount) AS TotalSum \nFROM WizzardDeposits\nWHERE MagicWandCreator = 'Ollivander family'\nGROUP BY DepositGroup\n--7--\nSELECT DepositGroup, SUM(DepositAmount) AS TotalSum\nFROM WizzardDeposits\nGROUP BY DepositGroup, MagicWandCreator\nHAVING MagicWandCreator = 'Ollivander family' AND SUM(DepositAmount) < 150000\nORDER BY TotalSum DESC\n--8--\nSELECT DepositGroup, MagicWandCreator, MIN(DepositCharge) AS MinDepositCharge\nFROM WizzardDeposits\nGROUP BY DepositGroup, MagicWandCreator\nORDER BY MagicWandCreator,DepositGroup ASC\n--9--\nSELECT e.AgeGroup, COUNT(e.AgeGroup) AS WizardCount FROM (\nSELECT CASE\n\tWHEN Age BETWEEN 0 AND 10 THEN '[0-10]'\n\tWHEN Age BETWEEN 11 AND 20 THEN '[11-20]'\n\tWHEN Age BETWEEN 21 AND 30 THEN '[21-30]'\n\tWHEN Age BETWEEN 31 AND 40 THEN '[31-40]'\n\tWHEN Age BETWEEN 41 AND 50 THEN '[41-50]'\n\tWHEN Age BETWEEN 51 AND 60 THEN '[51-60]'\n\tWHEN Age >=61 THEN '[61+]'\nEND AS AgeGroup\nFROM WizzardDeposits\n) AS e\nGROUP BY e.AgeGroup\n--10--\nSELECT DISTINCT LEFT(FirstName,1) AS FirstLetter\nFROM WizzardDeposits\nWHERE DepositGroup = 'Troll Chest'\nGROUP BY FirstName\n--11--\nSELECT DepositGroup, IsDepositExpired, AVG(DepositInterest) AS AverageInterest\nFROM WizzardDeposits\nWHERE DepositStartDate > '01/01/1985'\nGROUP BY DepositGroup, IsDepositExpired\nORDER BY DepositGroup DESC, IsDepositExpired ASC\n--12--\nSELECT SUM(e.Diff) AS [SumDifference]\nFROM(\nSELECT DepositAmount - LEAD(DepositAmount) OVER(ORDER BY Id) AS Diff\nFROM WizzardDeposits)\nAS e\n--13--\nUSE Softuni\nSELECT DepartmentID, SUM(Salary) AS TotalSalary\nFROM Employees\nGROUP BY DepartmentID\nORDER BY DepartmentID\n--14--\nSELECT DepartmentID, MIN(Salary) AS MinimumSalary\nFROM Employees\nWHERE HireDate > 01/01/2000 AND DepartmentID IN (2,5,7)\nGROUP BY DepartmentID\nHAVING DepartmentID IN (2,5,7)\n--15--\nSELECT *\nINTO MyTable \nFROM Employees\nWHERE Salary >30000\nDELETE FROM MyTable\nWHERE ManagerID = 42\nUPDATE MyTable\nSET Salary = Salary+5000\nWHERE DepartmentID=1\nSELECT DepartmentID, AVG(Salary) AS AverageSalary\nFROM MyTable\nGROUP BY DepartmentID\n--16--\nSELECT DepartmentID, MAX(Salary) As MaxSalary\nFROM Employees\nGROUP BY DepartmentID\nHAVING MAX(Salary)<30000 OR Max(Salary)> 70000\n--17--\nSELECT Count(Salary) AS [Count]\nFROM Employees\nGROUP BY ManagerID\nHAVING ManagerID IS NULL\n--18--\nSELECT DISTINCT DepartmentID, Salary FROM(\nSELECT DepartmentId, Salary,\nDENSE_RANK() OVER(PARTITION BY DepartmentID ORDER BY Salary DESC) AS Ranked\nFROM Employees) \nAS e\nWHERE e.Ranked =3\n--19--\nSELECT TOP(10) FirstName, LastName, DepartmentID\nFROM Employees AS e\nWHERE Salary > (SELECT AVG(Salary) FROM Employees WHERE DepartmentID = e.DepartmentID)\nORDER BY DepartmentID"}
{"doc_id": "0037ee659cf87903ae4cb7045eb56f19", "text": "do $$\n\ndeclare\n_users_to_fix integer array;\n\t_logs_to_fix integer array;\n\t_log_id integer;\n\t_user_id integer;\n\t_new_hours_remaining numeric(6,2) ;\n\t_hours_from_log numeric(6,2) ;\n\nBEGIN\n\n-- set valid hours_remaining to user_change_work_time logs\n\nupdate history_logs\nset hours  = 0,\n    hours_remaining = q3.hours_remaining\n\n    from\n\t-- this subquery find what was last valid hours_remaining from last log before change_work_time\n\t(select hl3.hours_remaining,\n\t\t\thl3.user_id,\n\t\t\tq2.max_log_before\n\t from\n\t \thistory_logs hl3\n\t \tjoin\n\t \t-- this subquery find last log for user before change_work_time event\n\t\t(select hl.user_id,\n\t\t\t\tq1.min_work_time,\n\t\t\t\t(select max(id) as max_log_before from history_logs hl2  where id < min_work_time and hl2.user_id = hl.user_id)\n\t\tfrom\n\t\t\thistory_logs hl\n\t\t\tjoin\n\t\t\t-- this subquery find first user_change_work_time for every user that has one\n\t\t\t(select user_id, min(id) as min_work_time from history_logs hl\n\t\t\twhere user_details_change_event = 'USER_CHANGE_WORK_TIME'\n\t\t\tgroup by user_id) q1\n\t\t\ton q1.user_id = hl.user_id\n\t\tgroup by hl.user_id, q1.min_work_time) q2\n\t\ton hl3.id = max_log_before) as q3\n\nwhere user_details_change_event = 'USER_CHANGE_WORK_TIME' and history_logs.user_id  = q3.user_id;\n\n\n--- find users that has any logs after work_time_change event\n\n_users_to_fix := array(select distinct hl3.user_id\n\t\tfrom\n\t\t\thistory_logs hl3\n\t\t\tjoin\n\t\t\t(select hl.user_id,\n\t\t\t\t\tq1.max_work_time_event,\n\t\t\t\t\t(select min(id) as min_log_after from history_logs hl2  where id > max_work_time_event and hl2.user_id = hl.user_id)\n\t\t\tfrom\n\t\t\t\thistory_logs hl\n\t\t\t\tjoin\n\t\t\t\t(select user_id, max(id) as max_work_time_event from history_logs hl\n\t\t\t\t\twhere user_details_change_event = 'USER_CHANGE_WORK_TIME'\n\t\t\t\t\tgroup by user_id) q1\n\t\t\t\ton q1.user_id = hl.user_id\n\t\t\tgroup by hl.user_id, q1.max_work_time_event) q2\n\t\t\ton hl3.user_id = q2.user_id\n\t\twhere hl3.id >= q2.min_log_after\n\t\torder by hl3.user_id);\n\n-- iterate over users\n\nFOREACH _user_id IN ARRAY _users_to_fix\n   LOOP\n\n   \t\t-- find logs to fix by given users (logs after last work_time_change)\n\n\t\t_logs_to_fix  := array(\n\t\tselect distinct hl3.id\n\t\tfrom\n\t\t\thistory_logs hl3\n\t\t\tjoin\n\t\t\t(select hl.user_id,\n\t\t\t\t\tq1.max_work_time_event,\n\t\t\t\t\t(select min(id) as min_log_after from history_logs hl2  where id > max_work_time_event and hl2.user_id = hl.user_id)\n\t\t\tfrom\n\t\t\t\thistory_logs hl\n\t\t\t\tjoin\n\t\t\t\t(select user_id, max(id) as max_work_time_event from history_logs hl\n\t\t\t\t\twhere user_details_change_event = 'USER_CHANGE_WORK_TIME'\n\t\t\t\t\tgroup by user_id) q1\n\t\t\t\ton q1.user_id = hl.user_id\n\t\t\tgroup by hl.user_id, q1.max_work_time_event) q2\n\t\t\ton hl3.user_id = q2.user_id\n\t\twhere hl3.id >= q2.min_log_after and q2.user_id = _user_id\n\t\torder by hl3.id);\n\n   \t\t-- get last valid remaining_hours for user\n\nselect hl.hours_remaining\ninto _new_hours_remaining\nfrom history_logs hl\nwhere user_id = _user_id  and user_details_change_event = 'USER_CHANGE_WORK_TIME';\n\nFOREACH _log_id IN ARRAY _logs_to_fix\n  \t\tloop\n\n  \t\t   -- get hour change from log\n\nselect hl.hours\ninto _hours_from_log\nfrom history_logs hl\nwhere id = _log_id;\n\n-- add it to valid remaining hours from log before\n\nupdate history_logs\nset hours_remaining = _new_hours_remaining + hours\nwhere id = _log_id;\n\n-- update remainig hours base\n\n_new_hours_remaining :=  _new_hours_remaining + _hours_from_log  ;\n\nEND LOOP;\nEND LOOP;\n\nEND\n$$"}
{"doc_id": "004ad39e9042b80cf18f6122d2504a65", "text": "-- CSDL QuanLyDeTai\nUSE QuanLyDeTai\n\n\n--Q58 \n-- EXCEPT\nSELECT GV.HOTEN\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT CD.MACD\n\t\t\t\t\tFROM CHUDE CD\n\t\t\t\t\tEXCEPT ( SELECT DT.MACD\n\t\t\t\t\t\t\tFROM THAMGIADT TG,DETAI DT\n\t\t\t\t\t\t\tWHERE GV.MAGV=TG.MAGV AND TG.MADT =DT.MADT ))\n--NOT EXISTS \nSELECT GV.HOTEN\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM CHUDE CD\n\t\t\t\t\tWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\t\t\tFROM THAMGIADT TG,DETAI DT\n\t\t\t\t\t\t\tWHERE GV.MAGV=TG.MAGV AND TG.MADT =DT.MADT AND DT.MACD=CD.MACD))\t\n--COUNT \n\nSELECT GV.HOTEN\nFROM GIAOVIEN GV, THAMGIADT TG, DETAI DT\nWHERE GV.MAGV =TG.MAGV AND TG.MADT= DT.MADT\nGROUP BY GV.MAGV, GV.HOTEN\nHAVING COUNT(DISTINCT DT.MACD) = ( SELECT COUNT(*)\n\t\t\t\t\t\t\t\t\tFROM CHUDE)\n\n\n\n\n--Q59\n-- EXCEPT\n\nSELECT DT.TENDT\nFROM DETAI DT\nWHERE NOT EXISTS (SELECT GV.MAGV\n\t\t\t\t\tFROM GIAOVIEN GV\n\t\t\t\t\tWHERE GV.MABM='HTTT'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT\tTG.MAGV\n\t\t\t\t\tFROM\tTHAMGIADT TG\n\t\t\t\t\tWHERE TG.MADT=DT.MADT)\n\n--NOT EXISTS \nSELECT DT.TENDT\nFROM DETAI DT\nWHERE NOT EXISTS (SELECT *\n\t\t\t\t\tFROM GIAOVIEN GV\n\t\t\t\t\tWHERE GV.MABM='HTTT'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT\t*\n\t\t\t\t\tFROM\tTHAMGIADT TG\n\t\t\t\t\tWHERE TG.MADT=DT.MADT and TG.MAGV=GV.MAGV))\n\n--COUNT \nSELECT DT.TENDT\nFROM DETAI DT, GIAOVIEN GV, THAMGIADT TG \nWHERE TG.MAGV=GV.MAGV AND TG.MADT = DT.MADT AND GV.MABM ='HTTT'\nGROUP BY DT.TENDT\nHAVING COUNT(DISTINCT GV.MAGV ) = ( SELECT COUNT(*) \n\t\t\t\t\t\t\t\t\tFROM GIAOVIEN \n\t\t\t\t\t\t\t\t\tWHERE GIAOVIEN.MABM='HTTT')\n\n\n--Q60\n--EXCEPT\nSELECT DT.TENDT\nFROM DETAI DT\nWHERE NOT EXISTS ( SELECT GV.MAGV\n\t\t\t\t\tFROM GIAOVIEN GV, BOMON BM\n\t\t\t\t\tWHERE GV.MABM = BM.MABM AND BM.TENBM=N'H\u1ec7 th\u1ed1ng th\u00f4ng tin'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT TG.MAGV\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MADT=DT.MADT )\n\n--NOT EXISTS \n\nSELECT DT.TENDT\nFROM DETAI DT\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM GIAOVIEN GV, BOMON BM\n\t\t\t\t\tWHERE GV.MABM = BM.MABM AND BM.TENBM=N'H\u1ec7 th\u1ed1ng th\u00f4ng tin'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT TG.MAGV\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MADT=DT.MADT AND TG.MAGV=GV.MAGV))\n\n--COUNT \n\nSELECT DT.TENDT\nFROM DETAI DT,THAMGIADT TG, GIAOVIEN GV,BOMON BM\nWHERE TG.MADT=DT.MADT AND TG.MAGV=GV.MAGV AND GV.MABM = BM.MABM AND BM.TENBM=N'H\u1ec7 th\u1ed1ng th\u00f4ng tin'\nGROUP BY DT.TENDT\nHAVING COUNT(DISTINCT TG.MAGV) = (SELECT COUNT(*)\n\t\t\t\t\t\t\t\t\tFROM GIAOVIEN , BOMON\n\t\t\t\t\t\t\t\t\tWHERE GIAOVIEN.MABM = BOMON.MABM  AND BOMON.TENBM=N'H\u1ec7 th\u1ed1ng th\u00f4ng tin')\n\n\n--Q61 \n--EXCEPT\nSELECT *\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT DT.MADT\n\t\t\t\t\tFROM  DETAI DT\n\t\t\t\t\tWHERE DT.MACD='QLGD'\n\t\t\t\t\tEXCEPT\t\n\t\t\t\t\tSELECT TG.MADT\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV=GV.MAGV)\n--NOT EXISTS \nSELECT *\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM  DETAI DT\n\t\t\t\t\tWHERE DT.MACD='QLGD'\n\t\t\t\t\tAND NOT EXISTS \n\t\t\t\t\t(SELECT *\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV=GV.MAGV AND TG.MADT=DT.MADT))\n-- COUNT \nSELECT GV.MAGV, COUNT(DISTINCT TG.MADT)\nFROM GIAOVIEN GV, THAMGIADT TG, DETAI DT\nWHERE GV.MAGV= TG.MAGV AND TG.MADT = DT.MADT AND DT.MACD='QLGD'\nGROUP BY GV.MAGV\nHAVING COUNT(DISTINCT DT.MADT) =(SELECT COUNT(*)\n\t\t\t\t\t\t\t\t\tFROM DETAI\n\t\t\t\t\t\t\t\t\tWHERE DETAI.MACD='QLGD')\n\n--Q62\n--EXCEPT \nSELECT GV.HOTEN\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT TG.MADT\n\t\t\t\t\tFROM THAMGIADT TG, GIAOVIEN GV\n\t\t\t\t\tWHERE TG.MAGV=GV.MAGV AND GV.HOTEN =N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT TG2.MADT\n\t\t\t\t\tFROM THAMGIADT TG2\n\t\t\t\t\tWHERE TG2.MAGV = GV.MAGV) AND GV.HOTEN NOT LIKE N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng'\n--NOT EXISTS \nSELECT GV.HOTEN\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM THAMGIADT TG, GIAOVIEN GV2\n\t\t\t\t\tWHERE TG.MAGV=GV2.MAGV AND GV2.HOTEN =N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM THAMGIADT TG2\n\t\t\t\t\tWHERE TG2.MAGV = GV.MAGV AND TG2.MADT=TG.MADT)) AND GV.HOTEN NOT LIKE N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng'\n--COUNT\n\nSELECT GV.HOTEN\nFROM GIAOVIEN GV , THAMGIADT TG\nWHERE GV.MAGV = TG.MAGV\nAND TG.MADT IN ( SELECT THAMGIADT.MADT\n\t\t\t\t\tFROM THAMGIADT, GIAOVIEN\n\t\t\t\t\tWHERE GIAOVIEN.HOTEN =N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng'AND THAMGIADT.MAGV=GIAOVIEN.MAGV)\nGROUP BY GV.MAGV,GV.HOTEN\nHAVING COUNT(DISTINCT TG.MADT) =(SELECT COUNT(DISTINCT THAMGIADT.MADT)\n\t\t\t\t\tFROM THAMGIADT, GIAOVIEN\n\t\t\t\t\tWHERE GIAOVIEN.HOTEN =N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng'AND THAMGIADT.MAGV=GIAOVIEN.MAGV) AND GV.HOTEN NOT LIKE N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng'\n\n--Q63\n--EXCEPT\nSELECT DT.TENDT\nFROM DETAI DT\nWHERE NOT EXISTS ( SELECT GV.MAGV\n\t\t\t\t\tFROM GIAOVIEN GV, BOMON BM\n\t\t\t\t\tWHERE GV.MABM=BM.MABM AND BM.TENBM =N'Ho\u00e1 h\u1eefu c\u01a1'\n\t\t\t\t\tEXCEPT\n\t\t\t\t\tSELECT TG.MAGV\n\t\t\t\t\t FROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MADT= DT.MADT ) \n\n--NOT EXISTS \nSELECT DT.TENDT\nFROM DETAI DT\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM GIAOVIEN GV, BOMON BM\n\t\t\t\t\tWHERE GV.MABM=BM.MABM AND BM.TENBM =N'Ho\u00e1 h\u1eefu c\u01a1'\n\t\t\t\t\tAND NOT EXISTS (\n\t\t\t\t\tSELECT *\n\t\t\t\t\t FROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MADT= DT.MADT AND TG.MAGV=GV.MAGV) )\n\n--COUNT \nSELECT DT.TENDT\nFROM DETAI DT,THAMGIADT TG, GIAOVIEN GV, BOMON BM\nWHERE TG.MAGV=GV.MAGV AND TG.MADT = DT.MADT\t AND GV.MABM=BM.MABM AND BM.TENBM=N'Ho\u00e1 h\u1eefu c\u01a1'\nGROUP BY DT.TENDT\nHAVING COUNT(DISTINCT  GV.MAGV) =(  SELECT COUNT(*)\n\t\t\t\t\tFROM GIAOVIEN GV, BOMON BM\n\t\t\t\t\tWHERE GV.MABM=BM.MABM AND BM.TENBM =N'Ho\u00e1 h\u1eefu c\u01a1')\n\n--Q64\n--EXCEPT \nSELECT GV.HOTEN\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT CV.SOTT\n\t\t\t\t\tFROM CONGVIEC CV\n\t\t\t\t\tWHERE CV.MADT ='006'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT TG.STT\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV AND TG.MADT='006')\n\n--NOT EXISTS \n\nSELECT GV.HOTEN\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM CONGVIEC CV\n\t\t\t\t\tWHERE CV.MADT ='006'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV AND CV.MADT=TG.MADT AND CV.SOTT = TG.STT))\n\n--COUNT \nSELECT GV.HOTEN\nFROM GIAOVIEN GV, THAMGIADT TG\nWHERE GV.MAGV = TG.MAGV AND TG.MADT ='006'\nGROUP BY GV.HOTEN, GV.MAGV\nHAVING COUNT(DISTINCT TG.STT) = (SELECT COUNT(*)\n\t\t\t\t\tFROM CONGVIEC CV\n\t\t\t\t\tWHERE CV.MADT ='006') \n\n\n--Q65\n--EXCEPT \nSELECT GV.HOTEN\nFROM\tGIAOVIEN GV\nWHERE NOT EXISTS ( SELECT DT.MADT\n\t\t\t\t\tFROM DETAI DT, CHUDE CD\n\t\t\t\t\tWHERE DT.MACD = CD.MACD AND CD.TENCD =N'\u1ee8ng d\u1ee5ng c\u00f4ng ngh\u1ec7'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT TG.MADT\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV )\n\t\t\t\t\t\n-- NOT EXISTS \nSELECT GV.HOTEN\nFROM\tGIAOVIEN GV\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM DETAI DT, CHUDE CD\n\t\t\t\t\tWHERE DT.MACD = CD.MACD AND CD.TENCD =N'\u1ee8ng d\u1ee5ng c\u00f4ng ngh\u1ec7'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV AND TG.MADT = DT.MADT))\n--COUNT \nSELECT GV.HOTEN\nFROM GIAOVIEN GV, THAMGIADT TG, DETAI DT,CHUDE CD\nWHERE GV.MAGV =TG.MAGV AND TG.MADT = DT.MADT AND DT.MACD=CD.MACD AND CD.TENCD =N'\u1ee8ng d\u1ee5ng c\u00f4ng ngh\u1ec7'\nGROUP BY GV.HOTEN, GV.MAGV\nHAVING COUNT(DISTINCT DT.MADT) = ( SELECT COUNT(*)\n\t\t\t\t\tFROM DETAI DT, CHUDE CD\n\t\t\t\t\tWHERE DT.MACD = CD.MACD AND CD.TENCD =N'\u1ee8ng d\u1ee5ng c\u00f4ng ngh\u1ec7')\n\n\n--Q66\n--EXCEPT \nSELECT GV1.HOTEN\nFROM GIAOVIEN GV1\nWHERE NOT EXISTS ( SELECT DT.MADT\n\t\t\t\t\tFROM\tDETAI DT , GIAOVIEN GV2\n\t\t\t\t\tWHERE DT.GVCNDT =GV2.MAGV AND GV2.HOTEN = N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT TG.MADT\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV = GV1.MAGV )\n-- NOT EXISTS \nSELECT GV1.HOTEN\nFROM GIAOVIEN GV1\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM\tDETAI DT , GIAOVIEN GV2\n\t\t\t\t\tWHERE DT.GVCNDT =GV2.MAGV AND GV2.HOTEN = N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng'\n\t\t\t\t\tAND NOT EXISTS (\n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV = GV1.MAGV AND DT.MADT = TG.MADT))\n\n--COUNT \nSELECT GV.HOTEN\nFROM GIAOVIEN GV, THAMGIADT TG, DETAI DT\nWHERE GV.MAGV = TG.MAGV AND TG.MADT =DT.MADT\nGROUP BY GV.HOTEN , GV.MAGV\nHAVING COUNT (DISTINCT DT.MADT ) = (SELECT COUNT(*)\n\t\t\t\t\tFROM\tDETAI DT , GIAOVIEN GV2\n\t\t\t\t\tWHERE DT.GVCNDT =GV2.MAGV AND GV2.HOTEN = N'Tr\u1ea7n Tr\u00e0 H\u01b0\u01a1ng')\n--Q67\n--EXCEPT \nSELECT DT.TENDT\nFROM\tDETAI DT\nWHERE NOT EXISTS (SELECT GV.MAGV\n\t\t\t\t\tFROM\tGIAOVIEN GV, BOMON BM, KHOA K\n\t\t\t\t\tWHERE GV.MABM=BM.MABM AND BM.MAKHOA=K.MAKHOA AND K.MAKHOA='CNTT'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT GV2.MAGV\n\t\t\t\t\tFROM\tGIAOVIEN GV2, THAMGIADT TG\n\t\t\t\t\tWHERE GV2.MAGV=TG.MAGV AND TG.MADT = DT.MADT )\n--NOT EXISTS\n\nSELECT DT.TENDT\nFROM\tDETAI DT\nWHERE NOT EXISTS (SELECT *\n\t\t\t\t\tFROM\tGIAOVIEN GV, BOMON BM, KHOA K\n\t\t\t\t\tWHERE GV.MABM=BM.MABM AND BM.MAKHOA=K.MAKHOA AND K.MAKHOA='CNTT'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT TG.MAGV\n\t\t\t\t\tFROM\t THAMGIADT TG\n\t\t\t\t\tWHERE  TG.MADT = DT.MADT AND TG.MAGV=GV.MAGV))\t\n--COUNT \nSELECT DT.TENDT\nFROM\tDETAI DT, GIAOVIEN GV, BOMON BM , KHOA K, THAMGIADT TG\nWHERE GV.MABM=BM.MABM AND BM.MAKHOA = K.MAKHOA AND GV.MAGV = TG.MAGV AND TG.MADT = DT.MADT AND K.MAKHOA='CNTT'\nGROUP BY DT.TENDT, DT.MADT\nHAVING COUNT ( DISTINCT GV.MAGV) = ( SELECT COUNT(*)\n\t\t\t\t\tFROM\tGIAOVIEN GV, BOMON BM, KHOA K\n\t\t\t\t\tWHERE GV.MABM=BM.MABM AND BM.MAKHOA=K.MAKHOA AND K.MAKHOA='CNTT')\n\n--Q68\n--EXCEPT\nSELECT GV.HOTEN\nFROM\t GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT CV.SOTT \n\t\t\t\t\tFROM\tCONGVIEC CV, DETAI DT\n\t\t\t\t\tWHERE CV.MADT = DT.MADT AND DT.TENDT =N'Nghi\u00ean c\u1ee9u t\u1ebf b\u00e0o g\u1ed1c'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT TG.STT\n\t\t\t\t\tFROM THAMGIADT TG, DETAI DT2\n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV AND TG.MADT=DT2.MADT AND DT2.TENDT=N'Nghi\u00ean c\u1ee9u t\u1ebf b\u00e0o g\u1ed1c' )\n\n--NOT EXISTS \nSELECT GV.HOTEN\nFROM\t GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM\tCONGVIEC CV, DETAI DT\n\t\t\t\t\tWHERE CV.MADT = DT.MADT AND DT.TENDT =N'Nghi\u00ean c\u1ee9u t\u1ebf b\u00e0o g\u1ed1c'\n\t\t\t\t\tAND NOT EXISTS (\n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV AND TG.MADT=DT.MADT AND CV.SOTT = TG.STT AND DT.TENDT=N'Nghi\u00ean c\u1ee9u t\u1ebf b\u00e0o g\u1ed1c' ))\n-- COUNT \nSELECT GV.HOTEN\nFROM\t GIAOVIEN GV, THAMGIADT TG, DETAI DT\nWHERE GV.MAGV = TG.MAGV AND TG.MADT = DT.MADT AND DT.TENDT =N'Nghi\u00ean c\u1ee9u t\u1ebf b\u00e0o g\u1ed1c' \nGROUP BY GV.HOTEN, GV.MAGV\nHAVING COUNT(DISTINCT TG.STT) = (SELECT COUNT(*)\n\t\t\t\t\tFROM\tCONGVIEC CV, DETAI DT\n\t\t\t\t\tWHERE CV.MADT = DT.MADT AND DT.TENDT =N'Nghi\u00ean c\u1ee9u t\u1ebf b\u00e0o g\u1ed1c')\n\n--Q69\n--EXCEPT\nSELECT GV.HOTEN\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT DT.MADT\n\t\t\t\t\tFROM DETAI DT\n\t\t\t\t\tWHERE DT.KINHPHI >100\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT TG.MADT\n\t\t\t\t\tFROM\t THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV\t=GV.MAGV)\n--NOT EXISTS \nSELECT GV.HOTEN\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM DETAI DT\n\t\t\t\t\tWHERE DT.KINHPHI >100\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM\t THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV\t=GV.MAGV AND DT.MADT = TG.MADT))\n-- COUNT \nSELECT GV.HOTEN\nFROM GIAOVIEN GV, THAMGIADT TG, DETAI DT\nWHERE GV.MAGV=TG.MAGV AND DT.MADT = TG.MADT AND DT.KINHPHI >100\nGROUP BY GV.HOTEN,GV.MAGV \nHAVING COUNT ( DISTINCT DT.MADT ) = ( SELECT\tCOUNT( *)\n\t\t\t\t\tFROM DETAI DT\n\t\t\t\t\tWHERE DT.KINHPHI >100)\n\t\n\n--Q70\n--EXCEPT \nSELECT DT.TENDT\nFROM DETAI DT\nWHERE NOT EXISTS ( SELECT GV.MAGV \n\t\t\t\t\tFROM GIAOVIEN GV, BOMON BM, KHOA K\n\t\t\t\t\tWHERE GV.MABM = BM.MABM AND BM.MAKHOA\t=K.MAKHOA AND K.TENKHOA=N'Sinh h\u1ecdc'\n\t\t\t\t\tEXCEPT\n\t\t\t\t\tSELECT TG.MAGV\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MADT = DT.MADT )\n-- NOT EXISTS \nSELECT DT.TENDT\nFROM DETAI DT\nWHERE NOT EXISTS ( SELECT GV.MAGV \n\t\t\t\t\tFROM GIAOVIEN GV, BOMON BM, KHOA K\n\t\t\t\t\tWHERE GV.MABM = BM.MABM AND BM.MAKHOA\t=K.MAKHOA AND K.TENKHOA=N'Sinh h\u1ecdc'\n\t\t\t\t\tAND NOT EXISTS (\n\t\t\t\t\tSELECT TG.MAGV\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MADT = DT.MADT AND GV.MAGV = TG.MAGV ))\n-- COUNT \nSELECT DT.TENDT\nFROM DETAI DT, GIAOVIEN GV, THAMGIADT TG, BOMON BM, KHOA K\nWHERE DT.MADT= TG.MADT AND TG.MAGV = GV.MAGV AND GV.MABM = BM.MABM AND BM.MAKHOA =K.MAKHOA AND K.TENKHOA = N'Sinh h\u1ecdc'\nGROUP BY DT.TENDT, DT.MADT\t\nHAVING COUNT ( DISTINCT GV.MAGV ) = ( SELECT COUNT(GV.MAGV) \n\t\t\t\t\tFROM GIAOVIEN GV, BOMON BM, KHOA K\n\t\t\t\t\tWHERE GV.MABM = BM.MABM AND BM.MAKHOA\t=K.MAKHOA AND K.TENKHOA=N'Sinh h\u1ecdc')\n\n--Q71 \n--EXCEPT\nSELECT GV.MAGV, GV.HOTEN,GV.NGSINH\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT CV.SOTT\n\t\t\t\t\tFROM CONGVIEC CV, DETAI DT\n\t\t\t\t\tWHERE CV.MADT=DT.MADT AND DT.TENDT =N'\u1ee8ng d\u1ee5ng ho\u00e1 h\u1ecdc xanh'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT TG.STT\n\t\t\t\t\tFROM THAMGIADT TG ,DETAI DT2\n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV AND TG.MADT = DT2.MADT AND DT2.TENDT= N'\u1ee8ng d\u1ee5ng ho\u00e1 h\u1ecdc xanh')\n\n--NOT EXISTS \nSELECT GV.MAGV, GV.HOTEN,GV.NGSINH\nFROM GIAOVIEN GV\nWHERE NOT EXISTS ( SELECT CV.SOTT\n\t\t\t\t\tFROM CONGVIEC CV, DETAI DT\n\t\t\t\t\tWHERE CV.MADT=DT.MADT AND DT.TENDT =N'\u1ee8ng d\u1ee5ng ho\u00e1 h\u1ecdc xanh'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT TG.STT\n\t\t\t\t\tFROM THAMGIADT TG \n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV AND TG.MADT = DT.MADT AND DT.TENDT= N'\u1ee8ng d\u1ee5ng ho\u00e1 h\u1ecdc xanh'))\n--COUNT \nSELECT GV.MAGV, GV.HOTEN,GV.NGSINH\nFROM GIAOVIEN GV,  THAMGIADT TG, DETAI DT\nWHERE GV.MAGV =  TG.MAGV AND TG.MADT = DT.MADT AND DT.TENDT= N'\u1ee8ng d\u1ee5ng ho\u00e1 h\u1ecdc xanh'\nGROUP BY GV.MAGV, GV.HOTEN,GV.NGSINH\nHAVING COUNT( DISTINCT TG.STT) = (SELECT COUNT(CV.SOTT)\n\t\t\t\t\tFROM CONGVIEC CV, DETAI DT\n\t\t\t\t\tWHERE CV.MADT=DT.MADT AND DT.TENDT =N'\u1ee8ng d\u1ee5ng ho\u00e1 h\u1ecdc xanh')\n--Q72 \n-- EXCEPT \nSELECT GV.MAGV, GV.HOTEN, BM.TENBM, GVQL.HOTEN AS GVQL\nFROM GIAOVIEN GV, BOMON BM, GIAOVIEN GVQL\nWHERE\tGV.MABM = BM.MABM AND GV.GVQLCM = GVQL.MAGV AND\n NOT EXISTS (\t\t SELECT DT.MADT\n\t\t\t\t\tFROM  DETAI DT, CHUDE CD\n\t\t\t\t\tWHERE DT.MACD = CD.MACD AND CD.TENCD =N'Nghi\u00ean c\u1ee9u ph\u00e1t tri\u1ec3n'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT TG.MADT\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV )\n-- NOT EXISTS \n\nSELECT GV.MAGV, GV.HOTEN, BM.TENBM, GVQL.HOTEN AS GVQL\nFROM GIAOVIEN GV, BOMON BM, GIAOVIEN GVQL\nWHERE\tGV.MABM = BM.MABM AND GV.GVQLCM = GVQL.MAGV AND\n NOT EXISTS (\t\t SELECT DT.MADT\n\t\t\t\t\tFROM  DETAI DT, CHUDE CD\n\t\t\t\t\tWHERE DT.MACD = CD.MACD AND CD.TENCD =N'Nghi\u00ean c\u1ee9u ph\u00e1t tri\u1ec3n'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT TG.MADT\n\t\t\t\t\tFROM THAMGIADT TG\n\t\t\t\t\tWHERE TG.MAGV = GV.MAGV  AND DT.MADT = TG.MADT))\t\t\t\n-- COUNT \t\n\nSELECT GV.MAGV, GV.HOTEN, BM.TENBM, GVQL.HOTEN AS GVQL\nFROM GIAOVIEN GV, BOMON BM, GIAOVIEN GVQL, THAMGIADT TG, DETAI DT ,CHUDE CD\nWHERE\tGV.MABM = BM.MABM AND GV.GVQLCM = GVQL.MAGV AND TG.MAGV = GV.MAGV AND TG.MADT = DT.MADT AND DT.MACD = CD.MACD AND CD.TENCD =N'Nghi\u00ean c\u1ee9u ph\u00e1t tri\u1ec3n'\nGROUP BY GV.MAGV, GV.HOTEN, BM.TENBM, GVQL.HOTEN\nHAVING COUNT( DISTINCT DT.MADT ) = (  SELECT COUNT(DT.MADT)\n\t\t\t\t\tFROM  DETAI DT, CHUDE CD\n\t\t\t\t\tWHERE DT.MACD = CD.MACD AND CD.TENCD =N'Nghi\u00ean c\u1ee9u ph\u00e1t tri\u1ec3n')\n\n\n-- CSDL QuanLyChuyenBay\nUSE QuanLyChuyenBay\n\n--Q51\n--EXCEPT \nSELECT CB.MACB\nFROM CHUYENBAY CB\nWHERE NOT EXISTS ( SELECT MB.SOHIEU\n\t\t\t\t\tFROM\tMAYBAY MB, LOAIMB LMB\n\t\t\t\t\tWHERE MB.MALOAI = LMB.MALOAI AND LMB.HANGSX = 'Boeing'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT LB.SOHIEU\n\t\t\t\t\tFROM LICHBAY LB\n\t\t\t\t\tWHERE LB.MACB = CB.MACB)\n\n--NOT EXISTS \nSELECT CB.MACB\nFROM CHUYENBAY CB\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM\tMAYBAY MB, LOAIMB LMB\n\t\t\t\t\tWHERE MB.MALOAI = LMB.MALOAI AND LMB.HANGSX = 'Boeing'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM LICHBAY LB\n\t\t\t\t\tWHERE LB.MACB = CB.MACB AND MB.SOHIEU = LB.SOHIEU))\n-- COUNT \nSELECT CB.MACB\nFROM CHUYENBAY CB, LICHBAY LB, MAYBAY MB, LOAIMB LMB\nWHERE CB.MACB = LB.MACB AND LB.SOHIEU = MB.SOHIEU AND MB.MALOAI =\tLMB.MALOAI AND LMB.HANGSX = 'Boeing'\nGROUP BY CB.MACB \nHAVING COUNT (DISTINCT MB.SOHIEU ) = ( SELECT COUNT(*)\n\t\t\t\t\tFROM\tMAYBAY MB, LOAIMB LMB\n\t\t\t\t\tWHERE MB.MALOAI = LMB.MALOAI AND LMB.HANGSX = 'Boeing')\n\n--Q52\n--EXCEPT\n\nSELECT NV.MANV, NV.TEN\nFROM NHANVIEN NV\nWHERE NOT EXISTS ( SELECT MB.MALOAI\n\t\t\t\t\tFROM MAYBAY MB, LOAIMB LMB\n\t\t\t\t\tWHERE MB.MALOAI = LMB.MALOAI AND LMB.HANGSX ='Airbus'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT KN.MALOAI\n\t\t\t\t\tFROM KHANANG KN\n\t\t\t\t\tWHERE KN.MANV= NV.MANV)\n-- NOT EXISTS \n\n\t\nSELECT NV.MANV, NV.TEN\nFROM NHANVIEN NV\nWHERE NOT EXISTS ( SELECT *\n\t\t\t\t\tFROM MAYBAY MB, LOAIMB LMB\n\t\t\t\t\tWHERE MB.MALOAI = LMB.MALOAI AND LMB.HANGSX ='Airbus'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM KHANANG KN\n\t\t\t\t\tWHERE KN.MANV= NV.MANV AND MB.MALOAI=KN.MALOAI)\t)\t\n\n--COUNT \nSELECT NV.MANV, NV.TEN\nFROM NHANVIEN NV, MAYBAY MB, LOAIMB LMB, KHANANG KN\nWHERE NV.MANV = KN.MANV AND KN.MALOAI = LMB.MALOAI AND LMB.MALOAI = MB.MALOAI AND LMB.HANGSX = 'Airbus'\nGROUP BY NV.MANV, NV.TEN \nHAVING COUNT( DISTINCT LMB.MALOAI) = ( SELECT COUNT( DISTINCT LMB.MALOAI)\n\t\t\t\t\tFROM MAYBAY MB, LOAIMB LMB\n\t\t\t\t\tWHERE MB.MALOAI = LMB.MALOAI AND LMB.HANGSX ='Airbus')\n\n--Q53 \n--EXCEPT \nSELECT NV.TEN\nFROM NHANVIEN NV\nWHERE NV.LOAINV  =0 AND\nNOT EXISTS ( SELECT CB.MACB\n\t\t\t\t\tFROM CHUYENBAY CB\n\t\t\t\t\tWHERE CB.MACB =100\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT PC.MACB\n\t\t\t\t\tFROM PHANCONG PC\n\t\t\t\t\tWHERE PC.MANV = NV.MANV)\n--EXISTS \nSELECT NV.TEN\nFROM NHANVIEN NV\nWHERE NV.LOAINV  =0 AND\nNOT EXISTS ( SELECT *\n\t\t\t\t\tFROM CHUYENBAY CB\n\t\t\t\t\tWHERE CB.MACB =100\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM PHANCONG PC\n\t\t\t\t\tWHERE PC.MANV = NV.MANV AND CB.MACB = PC.MACB))\n\n--COUNT \nSELECT NV.TEN\nFROM NHANVIEN NV, CHUYENBAY CB, PHANCONG PC\nWHERE NV.LOAINV  =0 AND NV.MANV = PC.MANV AND PC.MACB = CB.MACB AND CB.MACB =100\nGROUP BY NV.TEN, NV.MANV\nHAVING COUNT(DISTINCT CB.MACB) = (SELECT COUNT(*)\n\t\t\t\t\tFROM CHUYENBAY CB\n\t\t\t\t\tWHERE CB.MACB =100)\n\n--Q54\n--EXCEPT\nSELECT LB.NGAYDI\nFROM LICHBAY LB\nWHERE NOT EXISTS (  SELECT MB.SOHIEU\n\t\t\t\t\tFROM\tMAYBAY MB, LOAIMB LMB\n\t\t\t\t\tWHERE MB.MALOAI = LMB.MALOAI AND LMB.HANGSX = 'Boeing'\n\t\t\t\t\tEXCEPT \n\t\t\t\t\tSELECT LB2.SOHIEU\n\t\t\t\t\tFROM\t LICHBAY LB2\n\t\t\t\t\tWHERE\tLB2.MACB = LB.MACB )\n\n\n--NOT EXISTS \nSELECT LB.NGAYDI\nFROM LICHBAY LB\nWHERE NOT EXISTS (  SELECT *\n\t\t\t\t\tFROM\tMAYBAY MB, LOAIMB LMB\n\t\t\t\t\tWHERE MB.MALOAI = LMB.MALOAI AND LMB.HANGSX = 'Boeing'\n\t\t\t\t\tAND NOT EXISTS ( \n\t\t\t\t\tSELECT *\n\t\t\t\t\tFROM\t LICHBAY LB2\n\t\t\t\t\tWHERE\tLB2.MACB = LB.MACB AND MB.SOHIEU = LB2.SOHIEU))\n--COUNT \n\nSELECT LB.NGAYDI\nFROM LICHBAY LB, MAYBAY MB, LOAIMB LMB \nWHERE LB.SOHIEU = MB.SOHIEU AND MB.MALOAI\t=LMB.MALOAI AND LMB.HANGSX = 'Boeing'\nGROUP BY LB.NGAYDI, LB.MACB\nHAVING COUNT (DISTINCT LMB.MALOAI) = (SELECT COUNT(*)\n\t\t\t\t\tFROM\tMAYBAY MB, LOAIMB LMB\n\t\t\t\t\tWHERE MB.MALOAI = LMB.MALOAI AND LMB.HANGSX = 'Boeing')\n\n"}
{"doc_id": "004c195c19122bb7a9bd45933e569558", "text": "CREATE TABLE IF NOT EXISTS `jobs_telemetry` (\n  `batch_id` BIGINT NOT NULL,\n  `job_id` INT NOT NULL,\n  `time_ready` BIGINT DEFAULT NULL,\n  PRIMARY KEY (`batch_id`, `job_id`),\n  FOREIGN KEY (`batch_id`) REFERENCES batches(id) ON DELETE CASCADE\n) ENGINE = InnoDB;\n\nDELIMITER $$\n\nDROP PROCEDURE IF EXISTS commit_batch_update $$\nCREATE PROCEDURE commit_batch_update(\n  IN in_batch_id BIGINT,\n  IN in_update_id INT,\n  IN in_timestamp BIGINT\n)\nBEGIN\n  DECLARE cur_update_committed BOOLEAN;\n  DECLARE expected_n_jobs INT;\n  DECLARE staging_n_jobs INT;\n  DECLARE cur_update_start_job_id INT;\n\n  START TRANSACTION;\n\n  SELECT committed, n_jobs INTO cur_update_committed, expected_n_jobs\n  FROM batch_updates\n  WHERE batch_id = in_batch_id AND update_id = in_update_id\n  FOR UPDATE;\n\n  IF cur_update_committed THEN\n    COMMIT;\n    SELECT 0 as rc;\n  ELSE\n    SELECT COALESCE(SUM(n_jobs), 0) INTO staging_n_jobs\n    FROM batches_inst_coll_staging\n    WHERE batch_id = in_batch_id AND update_id = in_update_id\n    FOR UPDATE;\n\n    IF staging_n_jobs = expected_n_jobs THEN\n      UPDATE batch_updates\n      SET committed = 1, time_committed = in_timestamp\n      WHERE batch_id = in_batch_id AND update_id = in_update_id;\n\n      UPDATE batches SET\n        `state` = 'running',\n        time_completed = NULL,\n        n_jobs = n_jobs + expected_n_jobs\n      WHERE id = in_batch_id;\n\n      INSERT INTO user_inst_coll_resources (user, inst_coll, token, n_ready_jobs, ready_cores_mcpu)\n      SELECT user, inst_coll, 0, @n_ready_jobs := COALESCE(SUM(n_ready_jobs), 0), @ready_cores_mcpu := COALESCE(SUM(ready_cores_mcpu), 0)\n      FROM batches_inst_coll_staging\n      JOIN batches ON batches.id = batches_inst_coll_staging.batch_id\n      WHERE batch_id = in_batch_id AND update_id = in_update_id\n      GROUP BY `user`, inst_coll\n      ON DUPLICATE KEY UPDATE\n        n_ready_jobs = n_ready_jobs + @n_ready_jobs,\n        ready_cores_mcpu = ready_cores_mcpu + @ready_cores_mcpu;\n\n      DELETE FROM batches_inst_coll_staging WHERE batch_id = in_batch_id AND update_id = in_update_id;\n\n      IF in_update_id != 1 THEN\n        SELECT start_job_id INTO cur_update_start_job_id FROM batch_updates WHERE batch_id = in_batch_id AND update_id = in_update_id;\n\n        UPDATE jobs\n          LEFT JOIN `jobs_telemetry` ON `jobs_telemetry`.batch_id = jobs.batch_id AND `jobs_telemetry`.job_id = jobs.job_id\n          LEFT JOIN (\n            SELECT `job_parents`.batch_id, `job_parents`.job_id,\n              COALESCE(SUM(1), 0) AS n_parents,\n              COALESCE(SUM(state IN ('Pending', 'Ready', 'Creating', 'Running')), 0) AS n_pending_parents,\n              COALESCE(SUM(state = 'Success'), 0) AS n_succeeded\n            FROM `job_parents`\n            LEFT JOIN `jobs` ON jobs.batch_id = `job_parents`.batch_id AND jobs.job_id = `job_parents`.parent_id\n            WHERE job_parents.batch_id = in_batch_id AND\n              `job_parents`.job_id >= cur_update_start_job_id AND\n              `job_parents`.job_id < cur_update_start_job_id + staging_n_jobs\n            GROUP BY `job_parents`.batch_id, `job_parents`.job_id\n            FOR UPDATE\n          ) AS t\n            ON jobs.batch_id = t.batch_id AND\n               jobs.job_id = t.job_id\n          SET jobs.state = IF(COALESCE(t.n_pending_parents, 0) = 0, 'Ready', 'Pending'),\n              jobs.n_pending_parents = COALESCE(t.n_pending_parents, 0),\n              jobs.cancelled = IF(COALESCE(t.n_succeeded, 0) = COALESCE(t.n_parents - t.n_pending_parents, 0), jobs.cancelled, 1),\n              jobs_telemetry.time_ready = IF(COALESCE(t.n_pending_parents, 0) = 0 AND jobs_telemetry.time_ready IS NULL, in_timestamp, jobs_telemetry.time_ready)\n          WHERE jobs.batch_id = in_batch_id AND jobs.job_id >= cur_update_start_job_id AND\n              jobs.job_id < cur_update_start_job_id + staging_n_jobs;\n      END IF;\n\n      COMMIT;\n      SELECT 0 as rc;\n    ELSE\n      ROLLBACK;\n      SELECT 1 as rc, expected_n_jobs, staging_n_jobs as actual_n_jobs, 'wrong number of jobs' as message;\n    END IF;\n  END IF;\nEND $$\n\nDROP PROCEDURE IF EXISTS mark_job_complete $$\nCREATE PROCEDURE mark_job_complete(\n  IN in_batch_id BIGINT,\n  IN in_job_id INT,\n  IN in_attempt_id VARCHAR(40),\n  IN in_instance_name VARCHAR(100),\n  IN new_state VARCHAR(40),\n  IN new_status TEXT,\n  IN new_start_time BIGINT,\n  IN new_end_time BIGINT,\n  IN new_reason VARCHAR(40),\n  IN new_timestamp BIGINT\n)\nBEGIN\n  DECLARE cur_job_state VARCHAR(40);\n  DECLARE cur_instance_state VARCHAR(40);\n  DECLARE cur_cores_mcpu INT;\n  DECLARE cur_end_time BIGINT;\n  DECLARE delta_cores_mcpu INT DEFAULT 0;\n  DECLARE total_jobs_in_batch INT;\n  DECLARE expected_attempt_id VARCHAR(40);\n\n  START TRANSACTION;\n\n  SELECT n_jobs INTO total_jobs_in_batch FROM batches WHERE id = in_batch_id;\n\n  SELECT state, cores_mcpu\n  INTO cur_job_state, cur_cores_mcpu\n  FROM jobs\n  WHERE batch_id = in_batch_id AND job_id = in_job_id\n  FOR UPDATE;\n\n  CALL add_attempt(in_batch_id, in_job_id, in_attempt_id, in_instance_name, cur_cores_mcpu, delta_cores_mcpu);\n\n  SELECT end_time INTO cur_end_time FROM attempts\n  WHERE batch_id = in_batch_id AND job_id = in_job_id AND attempt_id = in_attempt_id\n  FOR UPDATE;\n\n  UPDATE attempts\n  SET start_time = new_start_time, rollup_time = new_end_time, end_time = new_end_time, reason = new_reason\n  WHERE batch_id = in_batch_id AND job_id = in_job_id AND attempt_id = in_attempt_id;\n\n  SELECT state INTO cur_instance_state FROM instances WHERE name = in_instance_name LOCK IN SHARE MODE;\n  IF cur_instance_state = 'active' AND cur_end_time IS NULL THEN\n    UPDATE instances_free_cores_mcpu\n    SET free_cores_mcpu = free_cores_mcpu + cur_cores_mcpu\n    WHERE instances_free_cores_mcpu.name = in_instance_name;\n\n    SET delta_cores_mcpu = delta_cores_mcpu + cur_cores_mcpu;\n  END IF;\n\n  SELECT attempt_id INTO expected_attempt_id FROM jobs\n  WHERE batch_id = in_batch_id AND job_id = in_job_id\n  FOR UPDATE;\n\n  IF expected_attempt_id IS NOT NULL AND expected_attempt_id != in_attempt_id THEN\n    COMMIT;\n    SELECT 2 as rc,\n      expected_attempt_id,\n      delta_cores_mcpu,\n      'input attempt id does not match expected attempt id' as message;\n  ELSEIF cur_job_state = 'Ready' OR cur_job_state = 'Creating' OR cur_job_state = 'Running' THEN\n    UPDATE jobs\n    SET state = new_state, status = new_status, attempt_id = in_attempt_id\n    WHERE batch_id = in_batch_id AND job_id = in_job_id;\n\n    UPDATE batches_n_jobs_in_complete_states\n      SET n_completed = (@new_n_completed := n_completed + 1),\n          n_cancelled = n_cancelled + (new_state = 'Cancelled'),\n          n_failed    = n_failed + (new_state = 'Error' OR new_state = 'Failed'),\n          n_succeeded = n_succeeded + (new_state != 'Cancelled' AND new_state != 'Error' AND new_state != 'Failed')\n      WHERE id = in_batch_id;\n\n    # Grabbing an exclusive lock on batches here could deadlock,\n    # but this IF should only execute for the last job\n    IF @new_n_completed = total_jobs_in_batch THEN\n      UPDATE batches\n      SET time_completed = new_timestamp,\n          `state` = 'complete'\n      WHERE id = in_batch_id;\n    END IF;\n\n    UPDATE jobs\n      LEFT JOIN `jobs_telemetry` ON `jobs_telemetry`.batch_id = jobs.batch_id AND `jobs_telemetry`.job_id = jobs.job_id\n      INNER JOIN `job_parents`\n        ON jobs.batch_id = `job_parents`.batch_id AND\n           jobs.job_id = `job_parents`.job_id\n      SET jobs.state = IF(jobs.n_pending_parents = 1, 'Ready', 'Pending'),\n          jobs.n_pending_parents = jobs.n_pending_parents - 1,\n          jobs.cancelled = IF(new_state = 'Success', jobs.cancelled, 1),\n          jobs_telemetry.time_ready = IF(jobs.n_pending_parents = 1, new_timestamp, jobs_telemetry.time_ready)\n      WHERE jobs.batch_id = in_batch_id AND\n            `job_parents`.batch_id = in_batch_id AND\n            `job_parents`.parent_id = in_job_id;\n\n    COMMIT;\n    SELECT 0 as rc,\n      cur_job_state as old_state,\n      delta_cores_mcpu;\n  ELSEIF cur_job_state = 'Cancelled' OR cur_job_state = 'Error' OR\n         cur_job_state = 'Failed' OR cur_job_state = 'Success' THEN\n    COMMIT;\n    SELECT 0 as rc,\n      cur_job_state as old_state,\n      delta_cores_mcpu;\n  ELSE\n    COMMIT;\n    SELECT 1 as rc,\n      cur_job_state,\n      delta_cores_mcpu,\n      'job state not Ready, Creating, Running or complete' as message;\n  END IF;\nEND $$\n\nDELIMITER ;\n"}
{"doc_id": "0058ef83d1b7687bc1bbf56406a07475", "text": "/*\nPopularity Percentage\nFind the popularity percentage for each user on Facebook. The popularity percentage is defined as the total number of friends the user has divided by the total number of users on the platform, then converted into a percentage by multiplying by 100.\nOutput each user along with their popularity percentage. Order records in ascending order by user id.\nThe 'user1' and 'user2' column are pairs of friends.\nTable: facebook_friends\n\nuser1 int\nuser2 int\n*/\n\n/* example output\nuser | pop_pct\n\npop_pct : num friends/total num users\n\nuser | num_friends\n*/\n\nWITH tb AS\n(select *\nfrom\n((select u1.user1, u1.user2\nfrom facebook_friends u1)\nUNION\n(select u2.user2, u2.user1\nfrom facebook_friends u2)) t)\n\nSELECT user1, COUNT(user2):: numeric/ (SELECT(COUNT(DISTINCT user1)) FROM tb) * 100 AS pop_pct\nFROM tb\nGROUP BY user1\nORDER BY user1\n\n/*\nComments Distribution\nWrite a query to calculate the distribution of comments by the count of users that joined Facebook between 2018 and 2020, for the month of January 2020. \n\nThe output should contain a count of comments and the corresponding number of users that made that number of comments in Jan-2020. For example, you'll be counting how many users made 1 comment, 2 comments, 3 comments, 4 comments, etc in Jan-2020. Your left column in the output will be the number of comments while your right column in the output will be the number of users. Sort the output from the least number of comments to highest.\n\nTo add some complexity, there might be a bug where an user post is dated before the user join date. You'll want to remove these posts from the result.\nTables: fb_users, fb_comments\n\nfb_users\n\nid int\nname varchar\njoined_at datetime\ncity_id int\ndevice int\n\nfb_comments\nuser_id int\nbody varchar\ncreated_at datetime\n*/\n\n/*\nnum comments | num users\n*/\n\nWITH tb AS\n(SELECT * FROM\n(select * from fb_users\nWHERE joined_at >= '2018-01-01' AND joined_at <= '2020-12-31') u\nLEFT JOIN\n(SELECT user_id, body, created_at\nFROM fb_comments\nWHERE created_at >= '2020-01-01' AND created_at < '2020-02-01') c\nON u.id = c.user_id\nWHERE c.created_at >= u.joined_at)\n\nSELECT num_comments, COUNT(id)\nFROM\n(SELECT id, COUNT(*) AS num_comments\nFROM tb\nGROUP BY id) t\nGROUP BY num_comments\nORDER BY num_comments\n\n/*\nUsers By Avg Session Time\n\nCalculate each user's average session time. A session is defined as the time difference between a page_load and page_exit. For simplicity, assume an user has only 1 session per day and if there are multiple of the same events in that day, consider only the latest page_load and earliest page_exit. Output the user_id and their average session time.\n\nTable: facebook_web_log\n\nuser_id int\ntimestamp datetime\naction varchar\n*/\n\n/*\nThought process: separate timestamp into 2 columns, date and time separately\n\nFor each user and date, take maximum time for page exit and load. Now we have 1 row of page exit, 1 row of page load, per user per day.\n\nSelf-join by user id and day to get page load and page exit in the same row as 2 columns, subtract page exit by page load to get session time\n\nGroup by user id and average session time\n*/\n\nWITH tab AS \n(select user_id, CAST(timestamp AS date) AS dte, \nMAX(CAST(timestamp AS time)) AS tme, action\nfrom facebook_web_log\nWHERE action = 'page_load' OR action = 'page_exit'\nGROUP BY user_id, dte, action)\n\nSELECT user_id, AVG(session_time)\nFROM\n(SELECT e.user_id, e.dte, e.tme - l.tme As session_time\nFROM\n(SELECT user_id, dte, tme, action AS exit\nFROM tab\nWHERE action = 'page_exit') e\nINNER JOIN\n(SELECT user_id, dte, tme, action AS load\nFROM tab\nWHERE action = 'page_load') l\nON e.user_id = l.user_id\nAND e.dte = l.dte) t\nGROUP BY user_id\n\n/*\nFans vs Opposition\n\nFacebook is quite keen on pushing their new programming language Hack to all their offices. They ran a survey to quantify the popularity of the language and send it to their employees. To promote Hack they have decided to pair developers which love Hack with the ones who hate it so the fans can convert the opposition. Their pair criteria is to match the biggest fan with biggest opposition, second biggest fan with second biggest opposition, and so on. Write a query which returns this pairing. \nOutput employee ids of paired employees and sort users with the same popularity value by id in ascending order. You can limit the number of rows to 7 so that the employees don't repeat.\n\nTable: facebook_hack_survey\n\nfacebook_hack_survey\n\nemployee_id int\nage int\ngender varchar\npopularity int\n*/\n\n/*\nemployee_id1 | popularity1 | employee_id2 | popularity2\n\nrank by populairty in descending and ascending order as 2 separate cols\n\nJoin tables by popularity ranking, most popular paired with least popular\n\nOrder by most popular ranking ascending order, as lowest number indicates highest ranking\n*/\nWITH tab AS\n(select *, ROW_NUMBER() OVER (ORDER BY popularity DESC, employee_id) AS most_popular, ROW_NUMBER() OVER (ORDER BY popularity, employee_id) AS least_popular\nfrom facebook_hack_survey)\n\nSELECT mp.employee_id, lp.employee_id\nFROM tab mp\nINNER JOIN tab lp\nON mp.most_popular = lp.least_popular\nORDER BY mp.most_popular\nLIMIT 7"}
{"doc_id": "0064c02ce9e35a9d73933c2b1e180e0e", "text": "/**\n * @author [Jai Miles]\n * @email [jaimiles23@gmail.com]\n * @create date 2020-06-14 13:30:42\n * @modify date 2020-06-14 13:30:42\n * @desc [\n     Solution to Challenge 7: [Gradebook](https://www.khanacademy.org/computing/computer-programming/sql/more-advanced-sql-queries/pc/challenge-gradebook)\n\n     Step 1: Select names, number_grade, and calculate percent_completed.\n\n     Step 2: Determine the frequency of letter grades.\n\n     NOTES:\n      - Uses the CASE control stucture to bin letter_grades.\n ]\n */\n\n\nCREATE TABLE student_grades (\n    id INTEGER PRIMARY KEY AUTOINCREMENT,\n    name TEXT,\n    number_grade INTEGER,\n    fraction_completed REAL);\n    \nINSERT INTO student_grades (name, number_grade, fraction_completed)\n    VALUES (\"Winston\", 90, 0.805);\nINSERT INTO student_grades (name, number_grade, fraction_completed)\n    VALUES (\"Winnefer\", 95, 0.901);\nINSERT INTO student_grades (name, number_grade, fraction_completed)\n    VALUES (\"Winsteen\", 85, 0.906);\nINSERT INTO student_grades (name, number_grade, fraction_completed)\n    VALUES (\"Wincifer\", 66, 0.7054);\nINSERT INTO student_grades (name, number_grade, fraction_completed)\n    VALUES (\"Winster\", 76, 0.5013);\nINSERT INTO student_grades (name, number_grade, fraction_completed)\n    VALUES (\"Winstonia\", 82, 0.9045);\n\n\n/* Step 1 */\nSELECT name, number_grade, \nROUND(fraction_completed * 100) AS percent_completed\nFROM student_grades;\n\n\n/* Step 2 */\n-- Develop structure for CASE\nSELECT name, number_grade,\nCASE\n    WHEN number_grade > 90 THEN \"A\"\n    WHEN number_grade > 80 THEN \"B\"\n    WHEN number_grade > 70 THEN \"C\"\n    ELSE \"F\"\nEND AS letter_grade\nFROM student_grades;\n\n\n-- Count instances of letter_grade\nSELECT COUNT(*),\n    CASE\n        WHEN number_grade > 90 THEN \"A\"\n        WHEN number_grade > 80 THEN \"B\"\n        WHEN number_grade > 70 THEN \"C\"\n        ELSE \"F\"\n    END AS letter_grade\nFROM student_grades\nGROUP BY letter_grade;"}
{"doc_id": "007d4fd3dea35c6804beac4e2a471d09", "text": "CREATE TABLE IF NOT EXISTS `_proxy_endpoint_components` (\n  `id` INTEGER PRIMARY KEY AUTOINCREMENT,\n  `endpoint_id` INTEGER NOT NULL,\n  `conditional` TEXT,\n  `conditional_positive` BOOLEAN DEFAULT 1,\n  `position` INTEGER NOT NULL,\n  `type` TEXT NOT NULL,\n  `data` TEXT,\n  `type_discriminator` TEXT,\n  `name` TEXT,\n  `description` TEXT,\n  `api_id` INTEGER\n);\n\nINSERT INTO _proxy_endpoint_components(id, endpoint_id, conditional, conditional_positive, position, type, data)\nSELECT id, endpoint_id, conditional, conditional_positive, position, type, data FROM proxy_endpoint_components;\n\nDROP TABLE proxy_endpoint_components;\n\nUPDATE _proxy_endpoint_components\nSET api_id = (SELECT pe.api_id FROM proxy_endpoints pe WHERE pe.id = endpoint_id), type_discriminator = 'standard';\n\nCREATE TABLE `proxy_endpoint_components` (\n  `id` INTEGER PRIMARY KEY AUTOINCREMENT,\n  `conditional` TEXT,\n  `conditional_positive` BOOLEAN DEFAULT 1,\n  `type` TEXT NOT NULL,\n  `data` TEXT,\n  `type_discriminator` TEXT,\n  `name` TEXT,\n  `description` TEXT,\n  `api_id` INTEGER,\n  UNIQUE (`api_id`, `name`) ON CONFLICT FAIL,\n  FOREIGN KEY(`api_id`) REFERENCES `apis`(`id`) ON DELETE CASCADE\n);\n\nINSERT INTO proxy_endpoint_components(id, conditional, conditional_positive, type, data, type_discriminator, name, description, api_id)\nSELECT id, conditional, conditional_positive, type, data, type_discriminator, name, description, api_id\nFROM _proxy_endpoint_components;\n\nCREATE TABLE IF NOT EXISTS `proxy_endpoint_component_references` (\n  `id` INTEGER PRIMARY KEY AUTOINCREMENT,\n  `proxy_endpoint_id` INTEGER NOT NULL,\n  `position` INTEGER NOT NULL,\n  `proxy_endpoint_component_id` INTEGER NOT NULL,\n  FOREIGN KEY(`proxy_endpoint_id`) REFERENCES `proxy_endpoints`(`id`) ON DELETE CASCADE,\n  FOREIGN KEY(`proxy_endpoint_component_id`) REFERENCES `proxy_endpoint_components`(`id`) ON DELETE NO ACTION\n);\n\nINSERT INTO proxy_endpoint_component_references(proxy_endpoint_id, position, proxy_endpoint_component_id)\nSELECT endpoint_id, position, id as proxy_endpoint_component_id\nFROM _proxy_endpoint_components;\n\nCREATE TRIGGER proxy_endpoint_component_references_conditional_delete_trigger\nAFTER DELETE ON proxy_endpoint_component_references\nFOR EACH ROW\nBEGIN\n  DELETE FROM proxy_endpoint_components\n  WHERE type_discriminator = 'standard'\n  AND id IN (\n    SELECT t.id FROM (\n      SELECT OLD.proxy_endpoint_component_id as id, COUNT(1) as cnt\n      FROM proxy_endpoint_component_references pecr\n      WHERE pecr.proxy_endpoint_component_id = OLD.proxy_endpoint_component_id\n    ) t\n    WHERE t.cnt = 0\n  );\nEND;\n\nDROP TABLE _proxy_endpoint_components;\n\nCREATE INDEX idx_proxy_endpoint_components_type_discriminator ON proxy_endpoint_components(type_discriminator);\nCREATE INDEX idx_proxy_endpoint_components_api_id ON proxy_endpoint_components(api_id);\nCREATE INDEX idx_proxy_endpoint_component_references_proxy_endpoint_id ON proxy_endpoint_component_references(proxy_endpoint_id);\nCREATE INDEX idx_proxy_endpoint_component_references_proxy_endpoint_component_id ON proxy_endpoint_component_references(proxy_endpoint_component_id);\n\nANALYZE;\n"}
{"doc_id": "0089a3c3192669153ac7da333f1637cb", "text": "-- SELECT \uac80\uc0c9\ud560 \uce7c\ub7fc\n-- FROM \ud14c\uc774\ube14\n-- [WHERE \uc870\uac74\uc2dd]\n-- [GROUP BY \uadf8\ub8f9\ud560 \uce7c\ub7fc][HAVING \uc870\uac74\uc2dd]\n-- [ORDER BY \uc815\ub82c ASC|DESC]\n\n-- 1. \uce74\ud14c\uc83c \uacf1\n-- 1) \ub450 \ud14c\uc774\ube14\uc758 \ubaa8\ub4e0 \uc870\ud569\uc774 \ub098\ud0c0\ub098\ub294 \uc870\uc778\n-- 2) \uc870\uc778\uc870\uac74\uc744 \uc798\ubabb \uc138\uc6b4 \uacbd\uc6b0\uc5d0 \uc8fc\ub85c \ubc1c\uc0dd\nSELECT *\nFROM EMPLOYEE, DEPARTMENT;\n\nSELECT *\nFROM EMPLOYEE CROSS JOIN DEPARTMENT;\n\n\n-- 2. \ub0b4\ubd80\uc870\uc778\n-- 1) \ub450 \ud14c\uc774\ube14\uc5d0 \ubaa8\ub450 \uc874\uc7ac\ud558\ub294 \ub370\uc774\ud130\ub9cc \uc870\uc778\n-- 2) \ud615\uc2dd\n--   (1) SELECT \uce7c\ub7fc FROM \ud14c\uc774\ube141, \ud14c\uc774\ube142 WHERE \ud14c\uc774\ube141.\uce7c\ub7fc = \ud14c\uc774\ube142.\uce7c\ub7fc\n--   (2) SELECT \uce7c\ub7fc FROM \ud14c\uc774\ube141 INNER JOIN \ud14c\uc774\ube142 ON \ud14c\uc774\ube141.\uce7c\ub7fc = \ud14c\uc774\ube142.\uce7c\ub7fc\n\n-- 2-1. \ubaa8\ub4e0 \uc0ac\uc6d0\ub4e4\uc758 NAME\uacfc DEPT_NAME\uc744 \uc870\ud68c\ud558\uc2dc\uc624.\nSELECT EMPLOYEE.NAME, DEPARTMENT.DEPT_NAME\nFROM EMPLOYEE, DEPARTMENT\nWHERE EMPLOYEE.DEPARTMENT = DEPARTMENT.DEPT_NO;\n\nSELECT E.NAME, D.DEPT_NAME\nFROM EMPLOYEE E, DEPARTMENT D\nWHERE E.DEPARTMENT = D.DEPT_NO;\n\nSELECT E.NAME, D.DEPT_NAME\nFROM EMPLOYEE E INNER JOIN DEPARTMENT D\nON E.DEPARTMENT = D.DEPT_NO;\n\n-- 2-2. '\uc11c\uc6b8'\uc5d0\uc11c \uadfc\ubb34\ud558\ub294 \uc9c1\uc6d0\ub4e4\uc758 \uc0ac\uc6d0\ubc88\ud638\uc640 \uc774\ub984\uc744 \uc870\ud68c\ud558\uc2dc\uc624.\nSELECT E.EMP_NO, E.NAME\nFROM EMPLOYEE E, DEPARTMENT D\nWHERE E.DEPARTMENT = D.DEPT_NO\nAND D.LOCATION = '\uc11c\uc6b8';\n\nSELECT E.EMP_NO, E.NAME\nFROM EMPLOYEE E INNER JOIN DEPARTMENT D\nON E.DEPARTMENT = D.DEPT_NO  -- \uc870\uc778 \uc870\uac74\uc2dd\nWHERE D.LOCATION = '\uc11c\uc6b8';   -- \uc77c\ubc18 \uc870\uac74\uc2dd\n\n\nCREATE VIEW \uacfc\uc7a5\ub4e4 AS\nSELECT * FROM EMPLOYEE WHERE POSITION = '\uacfc\uc7a5';\n\nSELECT * FROM \uacfc\uc7a5\ub4e4;\n\nDROP VIEW \uacfc\uc7a5\ub4e4;\n\n-- \uc2e0\uaddc\uc0ac\uc6d0\uc744 \uc785\ub825\ud560 \uc218 \uc788\ub3c4\ub85d\n-- \uae30\uc874 EMPLOYEE \uc758 \uba85\ub2e8\uc744 \ube7c\uace0, \uad6c\uc870\ub294 \ub3d9\uc77c\ud55c \ud14c\uc774\ube14\uc744 \ub9cc\ub4ec\n\nCREATE TABLE \uc2e0\uaddc\uc0ac\uc6d0 AS\nSELECT * FROM EMPLOYEE WHERE 1 = 2;\n\nSELECT * FROM \uc2e0\uaddc\uc0ac\uc6d0;\n\nDROP TABLE \uc2e0\uaddc\uc0ac\uc6d0;\n\n\n\n\n\n\n\n\n"}
{"doc_id": "008a8ae5fec24395fe86b63463996fa4", "text": "\ufeffcreate database DBJoin06112020\r\nuse DBJoin06112020\r\n\r\n--\u00d6\u011frenci tablosu\r\nCREATE TABLE Ogrenci(\r\n    OgrenciId int,\r\n    AdSoyad varchar(100)\r\n)\r\n--Dan\u0131\u015fman tablosu\r\nCREATE TABLE Danisman(\r\n    DanismanId int,\r\n    AdSoyad varchar(100)\r\n) \r\n--\u00d6\u011frenci Dan\u0131\u015fman tablosu\r\nCREATE TABLE OgrenciDanisman(\r\n    OgrenciDanismanId int,\r\n    OgrenciId int,\r\n    DanismanId int\r\n) \r\n\r\nuse DBJoin06112020\r\n--Ogrenci tablosuna kay\u0131t girelim\r\nINSERT Ogrenci VALUES(1,'\u00d6\u011frenci_1')\r\nINSERT Ogrenci VALUES(2,'\u00d6\u011frenci_2')\r\nINSERT Ogrenci VALUES(3,'\u00d6\u011frenci_3')\r\nINSERT Ogrenci VALUES(4,'\u00d6\u011frenci_4')\r\n\r\n--Dan\u0131\u015fman tablosuna kay\u0131t girelim\r\nINSERT Danisman VALUES(1,'Dan\u0131\u015fman_1')\r\nINSERT Danisman VALUES(2,'Dan\u0131\u015fman_2')\r\nINSERT Danisman VALUES(3,'Dan\u0131\u015fman_3')\r\nINSERT Danisman VALUES(4,'Dan\u0131\u015fman_4')\r\n\r\n--Dan\u0131\u015fman\u0131 olan \u00f6\u011frenciler i\u00e7in kay\u0131t girelim\r\n--1 nolu \u00f6\u011frencinin dan\u0131\u015fman\u0131=2 nolu dan\u0131\u015fman\r\nINSERT OgrenciDanisman VALUES(1,1,2)\r\n--3 nolu \u00f6\u011frencinin dan\u0131\u015fman\u0131=2 nolu dan\u0131\u015fman\r\nINSERT OgrenciDanisman VALUES(2,3,2)\r\n--4 nolu \u00f6\u011frencinin dan\u0131\u015fman\u0131=1 nolu dan\u0131\u015fman\r\nINSERT OgrenciDanisman VALUES(3,4,1)\r\n\r\nuse DBJoin06112020\r\nselect * from Danisman\r\nselect * from Ogrenci\r\nselect * from OgrenciDanisman\r\n\r\nselect o.*\r\nfrom ogrenci o\r\ninner join OgrenciDanisman od\r\non o.OgrenciId=od.OgrenciId\r\n\r\nselect o.OgrenciId, o.AdSoyad, d.DanismanId, d.AdSoyad\r\nfrom ogrenci o\r\ninner join OgrenciDanisman od\r\non o.OgrenciId=od.OgrenciId\r\ninner join Danisman d\r\non od.DanismanId = d.DanismanId\r\n\r\nselect *\r\nfrom ogrenci o\r\nleft join OgrenciDanisman od\r\non o.OgrenciId=od.OgrenciId\r\n\r\nselect *\r\nfrom ogrenci o\r\nleft join OgrenciDanisman od\r\non o.OgrenciId=od.OgrenciId\r\nwhere od.DanismanId is null\r\n\r\nselect *\r\nfrom OgrenciDanisman od\r\nright join Danisman d\r\non d.DanismanId = od.DanismanId\r\n\r\nselect *\r\nfrom OgrenciDanisman od\r\nright join Danisman d\r\non d.DanismanId = od.DanismanId\r\nwhere od.DanismanId is null\r\n\r\n\r\nselect *\r\nfrom Ogrenci o\r\nfull join OgrenciDanisman od\r\non o.OgrenciId = od.OgrenciId\r\nfull join Danisman d\r\non d.DanismanId = od.DanismanId\r\n\r\nselect * \r\nfrom Ogrenci o\r\ncross join danisman d\r\norder by OgrenciId\r\n\r\nselect * \r\nfrom ogrenci o\r\nleft join OgrenciDanisman od\r\non o.OgrenciId = od.OgrenciId\r\nwhere od.DanismanId is null\r\n\r\ndelete Ogrenci \r\nfrom ogrenci o\r\nleft join OgrenciDanisman od\r\non o.OgrenciId = od.OgrenciId\r\nwhere od.DanismanId is null\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}
{"doc_id": "009c4ba5e1afd1546d241888d615bf0a", "text": "\ncreate table type (\n\tid serial primary key,\n\tname varchar(2000)\n);\n\ncreate table product (\n\tid serial primary key,\n\tname varchar(2000),\n\ttype_id int references type(id),\n\texpired_date timestamp,\n\tprice money\n);\n\ninsert into type(name) values ('cheese'), ('milk'), ('icecream');\n\n\ninsert into product(name, type_id, expired_date, price) values ('Mozzarella', 1, '2019-05-08 08:00:00', 400);\n\ninsert into product(name, type_id, expired_date, price) values ('Maasdam', 1, '2019-04-08 08:00:00', 600);\n\ninsert into product(name, type_id, expired_date, price) values ('Parmezan', 1, '2019-08-08 08:00:00', 480);\n\ninsert into product(name, type_id, expired_date, price) values ('Monterey', 1, '2019-06-08 08:00:00', 550);\n\n\ninsert into product(name, type_id, expired_date, price) values ('House in the village', 2, '2019-04-11 08:00:00', 90);\n\ninsert into product(name, type_id, expired_date, price) values ('Gorodetskoe', 2, '2019-04-08 08:00:00', 70);\n\ninsert into product(name, type_id, expired_date, price) values ('President', 2, '2019-04-08 08:00:00', 120);\n\n\ninsert into product(name, type_id, expired_date, price) values ('Snickers', 3, '2019-09-01 08:00:00', 280);\n\ninsert into product(name, type_id, expired_date, price) values ('Icecream Fruit', 3, '2019-08-03 08:00:00', 50);\n\ninsert into product(name, type_id, expired_date, price) values ('Gold of Russia', 3, '2019-07-06 08:00:00', 380);\n\n--1. \u041d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0437\u0430\u043f\u0440\u043e\u0441 \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \u0441 \u0442\u0438\u043f\u043e\u043c \"\u0421\u042b\u0420\"\nselect p.name from product as p join type as t on p.type_id = t.id where t.name = 'cheese';\n\n--2. \u041d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0437\u0430\u043f\u0440\u043e\u0441 \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044f \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432, \u0443 \u043a\u043e\u0433\u043e \u0432 \u0438\u043c\u0435\u043d\u0438 \u0435\u0441\u0442\u044c \u0441\u043b\u043e\u0432\u043e \"\u043c\u043e\u0440\u043e\u0436\u0435\u043d\u043d\u043e\u0435\"\nselect t.name as product_type, p.name from product as p join type as t on p.type_id = t.id where p.name ilike '%icecream%';\n\n--3. \u041d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0437\u0430\u043f\u0440\u043e\u0441, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b\u0432\u043e\u0434\u0438\u0442 \u0432\u0441\u0435 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u044b, \u0441\u0440\u043e\u043a \u0433\u043e\u0434\u043d\u043e\u0441\u0442\u0438 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0437\u0430\u043a\u0430\u043d\u0447\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0432 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043c\u0435\u0441\u044f\u0446\u0435.\nselect t.name, p.name, p.expired_date from product as p join type as t on p.type_id = t.id\nwhere expired_date between CURRENT_DATE and CURRENT_DATE + INTERVAL '1 month';\n\n--4. \u041d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0437\u0430\u043f\u0440\u043e\u0441, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b\u0432\u043e\u0434\u0438\u0442 \u0441\u0430\u043c\u044b\u0439 \u0434\u043e\u0440\u043e\u0433\u043e\u0439 \u043f\u0440\u043e\u0434\u0443\u043a\u0442.\nselect t.name as product_name, p.name, p.price from product as p join type as t on p.type_id = t.id\nwhere price = (select max(price) from product);\n\n--5. \u041d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0437\u0430\u043f\u0440\u043e\u0441, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b\u0432\u043e\u0434\u0438\u0442 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0442\u0438\u043f\u0430.\nselect t.name, count(p.id) as amount from product as p join type as t on p.type_id = t.id where t.name = 'milk'\ngroup by t.name;\n\n--6. \u041d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0437\u0430\u043f\u0440\u043e\u0441 \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \u0441 \u0442\u0438\u043f\u043e\u043c \"\u0421\u042b\u0420\" \u0438 \"\u041c\u041e\u041b\u041e\u041a\u041e\"\nselect p.name, t.name from product as p join type as t on p.type_id = t.id where t.name in ('cheese', 'milk');\n\n--7. \u041d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0437\u0430\u043f\u0440\u043e\u0441, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b\u0432\u043e\u0434\u0438\u0442 \u0442\u0438\u043f \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432, \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043e\u0441\u0442\u0430\u043b\u043e\u0441\u044c \u043c\u0435\u043d\u044c\u0448\u0435 10 \u0448\u0442\u0443\u043a.  \nselect name from type where (select count(p.id) from product as p where p.type_id = type.id) < 4;\n\n--8. \u0412\u044b\u0432\u0435\u0441\u0442\u0438 \u0432\u0441\u0435 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u044b \u0438 \u0438\u0445 \u0442\u0438\u043f.\nselect p.name, t.name from product as p join type as t on p.type_id = t.id;"}
{"doc_id": "009f4baace55953264cc09fa26e95680", "text": "DROP TABLE IF EXISTS trip_quantity;\nDROP TABLE IF EXISTS trip_stats;\nDROP TABLE IF EXISTS trip_pairs;\n\n-- Table for start and stop station trip pairs\nCREATE TABLE trip_pairs (\n  id SERIAL PRIMARY KEY,\n  start_id integer REFERENCES stations (id),\n  stop_id integer REFERENCES stations (id),\n  reverse_pair_id integer REFERENCES trip_pairs (id),\n  distance double precision\n  );\n\nINSERT INTO trip_pairs (start_id, stop_id) \nSELECT DISTINCT start_id, stop_id FROM trips;\n\n-- calculate the distances\nupdate trip_pairs set distance=sq.distance\nFROM (select tp.id as id,\n st_distance_sphere(x.geom, y.geom) as distance,\n tp.start_id, tp.stop_id \nfrom trip_pairs tp, stations x, stations y\nwhere x.id=tp.start_id and y.id=tp.stop_id) as sq\nwhere trip_pairs.start_id=sq.start_id and trip_pairs.stop_id=sq.stop_id;\n\n-- associate the reverse trip to the forward trip\nupdate trip_pairs set reverse_pair_id=x.rp_id\nFROM (select tp.id as id, rp.id as rp_id\nfrom trip_pairs tp, trip_pairs rp\nwhere tp.start_id=rp.stop_id and tp.stop_id=rp.start_id) x\nwhere x.id=trip_pairs.id;\n\n\nCREATE TABLE trip_stats (\n  id SERIAL PRIMARY KEY,\n  trip_pair_id integer REFERENCES trip_pairs (id),\n  conditions text,\n  sample_size integer,\n  stat_name text,\n  stat_value double precision\n  );\n\nCREATE TABLE trip_quantity (\n  trip_pair_id integer REFERENCES trip_pairs (id),\n  member_type text,\n  quantity integer,\n  primary key (trip_pair_id, member_type)\n  );\n  \n-- insert the counts by trip for any member type  \nINSERT INTO trip_quantity\n(trip_pair_id, member_type, quantity)\nselect tp.id, 'Both', count(t.*)\n from trips t, trip_pairs tp\nwhere t.start_id=tp.start_id \nand t.stop_id=tp.stop_id \ngroup by tp.id;\n  \n-- insert the counts by trip based on member_type\nINSERT INTO trip_quantity\n(trip_pair_id, member_type, quantity)\nselect tp.id, m.type, count(t.*)\n from trips t, trip_pairs tp, member_types m\nwhere t.start_id=tp.start_id \nand t.stop_id=tp.stop_id and t.member_type_id=m.id\ngroup by tp.id, m.type;\n"}
{"doc_id": "00b38bb0e19b5e8e06b9e8025d3304d4", "text": "CREATE TABLE \"user\" (\n    id serial PRIMARY KEY,\n    name text NOT NULL,\n    email text NOT NULL,\n    full_name text NOT NULL,\n\n    UNIQUE(name),\n    UNIQUE(email)\n);\n\nCREATE TABLE user_role (\n    user_id integer,\n    role text NOT NULL,\n\n    PRIMARY KEY(user_id, role),\n    FOREIGN KEY(user_id) REFERENCES \"user\"(id) ON DELETE CASCADE\n);\n\nCREATE TABLE project (\n    id serial PRIMARY KEY,\n    name text NOT NULL,\n    code text NOT NULL UNIQUE,\n    description text\n);\n\nCREATE TABLE project_member (\n    id serial PRIMARY KEY,\n    project_id integer NOT NULL,\n    user_id integer NOT NULL,\n\n    UNIQUE(project_id, user_id),\n    FOREIGN KEY(project_id) REFERENCES project(id) ON DELETE CASCADE,\n    FOREIGN KEY(user_id) REFERENCES \"user\"(id)\n);\n\nCREATE TABLE project_member_role (\n    member_id integer NOT NULL,\n    role text NOT NULL,\n\n    PRIMARY KEY(member_id, role),\n    FOREIGN KEY(member_id) REFERENCES project_member(id)\n            ON DELETE CASCADE\n);\n\nCREATE TABLE part_family (\n    id serial PRIMARY KEY,\n    name text NOT NULL,\n    code text NOT NULL,\n    counter integer NOT NULL DEFAULT 0\n);\n\nCREATE TABLE change_request (\n    id serial PRIMARY KEY,\n    name text NOT NULL,\n    description text,\n    cycle text NOT NULL,\n\n    created_by integer NOT NULL,\n    created_at timestamptz NOT NULL,\n    updated_by integer NOT NULL,\n    updated_at timestamptz NOT NULL,\n\n    UNIQUE(name),\n    CHECK(LENGTH(name) > 0),\n\n    FOREIGN KEY(cycle) REFERENCES change_request_cycle_enum(id),\n    FOREIGN KEY(created_by) REFERENCES \"user\"(id),\n    FOREIGN KEY(updated_by) REFERENCES \"user\"(id)\n);\n\nCREATE TABLE part (\n    id serial PRIMARY KEY,\n    family_id integer NOT NULL,\n    ref text NOT NULL,\n    designation text NOT NULL,\n\n    created_by integer NOT NULL,\n    created_at timestamptz NOT NULL,\n    updated_by integer NOT NULL,\n    updated_at timestamptz NOT NULL,\n\n    UNIQUE(ref),\n    CHECK(LENGTH(ref) > 0),\n    CHECK(LENGTH(designation) > 0),\n\n    FOREIGN KEY(family_id) REFERENCES part_family(id),\n    FOREIGN KEY(created_by) REFERENCES \"user\"(id),\n    FOREIGN KEY(updated_by) REFERENCES \"user\"(id)\n);\n\nCREATE TABLE part_revision (\n    id serial PRIMARY KEY,\n    part_id integer NOT NULL,\n\n    revision integer NOT NULL,\n    designation text NOT NULL,\n\n    change_request_id integer NOT NULL,\n\n    cycle text NOT NULL,\n\n    created_by integer NOT NULL,\n    created_at timestamptz NOT NULL,\n    updated_by integer NOT NULL,\n    updated_at timestamptz NOT NULL,\n\n    CHECK(revision > 0),\n    CHECK(LENGTH(designation) > 0),\n\n    FOREIGN KEY(part_id) REFERENCES part(id),\n    FOREIGN KEY(change_request_id) REFERENCES change_request(id),\n    FOREIGN KEY(cycle) REFERENCES part_cycle_enum(id),\n    FOREIGN KEY(created_by) REFERENCES \"user\"(id),\n    FOREIGN KEY(updated_by) REFERENCES \"user\"(id)\n);\n\nCREATE TABLE part_validation (\n    id serial PRIMARY KEY,\n    part_rev_id integer NOT NULL,\n    result text,\n    comments text,\n\n    created_by integer NOT NULL,\n    created_at timestamptz NOT NULL,\n    updated_by integer NOT NULL,\n    updated_at timestamptz NOT NULL,\n\n    FOREIGN KEY(part_rev_id) REFERENCES part_revision(id),\n    FOREIGN KEY(result) REFERENCES validation_result_enum(id),\n    FOREIGN KEY(created_by) REFERENCES \"user\"(id),\n    FOREIGN KEY(updated_by) REFERENCES \"user\"(id)\n);\n\nCREATE TABLE part_approval (\n    id serial PRIMARY KEY,\n    validation_id integer NOT NULL,\n    assignee_id integer NOT NULL,\n    decision approval_decision_enum NOT NULL,\n    comments text,\n\n    created_by integer NOT NULL,\n    created_at timestamptz NOT NULL,\n    updated_by integer NOT NULL,\n    updated_at timestamptz NOT NULL,\n\n    FOREIGN KEY(validation_id) REFERENCES part_validation(id),\n    FOREIGN KEY(assignee_id) REFERENCES \"user\"(id),\n    FOREIGN KEY(created_by) REFERENCES \"user\"(id),\n    FOREIGN KEY(updated_by) REFERENCES \"user\"(id)\n);\n\nCREATE TABLE change_part_create (\n    id serial PRIMARY KEY,\n    request_id integer NOT NULL,\n    family_id integer NOT NULL,\n    version text NOT NULL,\n    designation text NOT NULL,\n    comments text,\n\n    CHECK(LENGTH(version) > 0),\n    CHECK(LENGTH(designation) > 0),\n\n    FOREIGN KEY(request_id) REFERENCES change_request(id),\n    FOREIGN KEY(family_id) REFERENCES part_family(id)\n);\n\nCREATE TABLE change_part_fork (\n    id serial PRIMARY KEY,\n    request_id integer NOT NULL,\n    part_id integer NOT NULL,\n    version text NOT NULL,\n    designation text,\n    comments text,\n\n    CHECK(LENGTH(version) > 0),\n\n    FOREIGN KEY(request_id) REFERENCES change_request(id),\n    FOREIGN KEY(part_id) REFERENCES part(id)\n);\n\nCREATE TABLE change_part_revision (\n    id serial PRIMARY KEY,\n    request_id integer NOT NULL,\n    part_id integer NOT NULL,\n    designation text,\n    comments text,\n\n    FOREIGN KEY(request_id) REFERENCES change_request(id),\n    FOREIGN KEY(part_id) REFERENCES part(id)\n);\n\nCREATE TABLE change_review (\n    id serial PRIMARY KEY,\n    request_id integer NOT NULL,\n    assignee_id integer NOT NULL,\n    decision approval_decision_enum NOT NULL,\n    comments text,\n\n    created_by integer NOT NULL,\n    created_at timestamptz NOT NULL,\n    updated_by integer NOT NULL,\n    updated_at timestamptz NOT NULL,\n\n    FOREIGN KEY(request_id) REFERENCES change_request(id),\n    FOREIGN KEY(assignee_id) REFERENCES \"user\"(id)\n);\n\nCREATE TABLE document (\n    id serial PRIMARY KEY,\n    name text NOT NULL,\n    description text,\n    created_by integer NOT NULL,\n    created_at timestamptz NOT NULL,\n    checkout integer,\n\n    FOREIGN KEY(created_by) REFERENCES \"user\"(id),\n    FOREIGN KEY(checkout) REFERENCES \"user\"(id)\n);\n\nCREATE TABLE document_revision (\n    id serial PRIMARY KEY,\n    document_id integer NOT NULL,\n    revision integer NOT NULL,\n    filename text NOT NULL,\n    filesize integer NOT NULL,\n    created_by integer NOT NULL,\n    created_at timestamptz NOT NULL,\n    change_description text,\n\n    uploaded integer NOT NULL DEFAULT 0,\n    sha1 bytea, -- initially null, set after check on both client and server\n\n    CHECK(filesize > 0),\n    CHECK(uploaded >= 0 AND uploaded <= filesize),\n    UNIQUE(document_id, revision),\n    FOREIGN KEY(document_id) REFERENCES document(id),\n    FOREIGN KEY(created_by) REFERENCES \"user\"(id)\n);\n"}
{"doc_id": "00bea9b5799b860e1cefcd466e9a7860", "text": "-- Vertical Fragmentation\n\n-- Global Schema Employee(Eno;Ename;Address;Email;Salary)\n-- insert 10 records\n-- divide Employee into vertical fragments \n-- Employee1(Eno;Ename;Address)\n-- and \n-- Employee2(Eno;Email;Salary)\n-- on two different nodes.\n-- Fire the 4 Queries\n-- 1. Find the salary of an employee where employee number is unknown\n-- 2. Find the Email where the employee name is unknown\n-- 3. Find the employee name and Email where employee number is unknown\n-- 4. Find the employee name whose salary is > 2000\n\n-- create scott user if not present\ncreate user scott identified by tiger;\ngrant all privileges to scott identified by tiger;\n\nconnect scott/tiger@xe;\n\n-- Global Schema Employee(Eno;Ename;Address;Email;Salary)\ncreate table Employee(Eno numeric(6),Ename varchar2(10),Address varchar2(10),Email varchar2(20),Salary numeric(6));\n\n-- insert 10 records\ninsert into Employee values(101,'Steve','Nerul','steve@gmail.com',20000);\ninsert into Employee values(102,'Matt','Vashi','matt@gmail.com',10000);\ninsert into Employee values(103,'Bob','Vashi','bob@gmail.com',15000);\ninsert into Employee values(104,'Alice','Bandra','alice@gmail.com',19000);\ninsert into Employee values(105,'Smith','Colaba','smith@gmail.com',25000);\ninsert into Employee values(106,'Jones','Colaba','jones@gmail.com',29000);\ninsert into Employee values(107,'George','Panvel','george@gmail.com',11000);\ninsert into Employee values(108,'Nina','Thane','nina@gmail.com',16000);\ninsert into Employee values(109,'John','Thane','john@gmail.com',22000);\ninsert into Employee values(110,'Paul','Airoli','paul@gmail.com',30000);\n\n--if there is no user make one\ncreate user msc1 identified by msc1;\ncreate user msc2 identified by msc2;\ncreate user msc3 identified by msc3;\n-- give them privileges\ngrant all privileges to msc1 identified by msc1;\ngrant all privileges to msc2 identified by msc2;\ngrant all privileges to msc3 identified by msc3;\n\n-- divide Employee into vertical fragments\n\n-- connect to msc1\nconnect msc1/msc1@xe;\n-- Employee1(Eno;Ename;Address)\ncreate database link Linkm1 connect to scott identified by tiger using 'xe';\n\ncreate table Employee1 as select Eno,Ename,Address from Employee@Linkm1;\n\n-- connect to msc2\nconnect msc2/msc2@xe;\n-- Employee2(Eno;Email;Salary)\ncreate database link Linkm2 connect to scott identified by tiger using 'xe';\n\ncreate table Employee2 as select Eno,Email,Salary from Employee@Linkm2;\n\n\n-- on two different nodes\n\n-- connect to msc3\nconnect msc3/msc3@xe;\n--creating 2 different links\ncreate database link linkmsc1 connect to msc1 identified by msc1 using 'xe';\n\ncreate database link linkmsc2 connect to msc2 identified by msc2 using 'xe';\n\n\n\n-- Fire the 4 Queries\n\n-- 1. Find the salary of an employee where employee number is unknown\nselect salary from Employee2@linkmsc2 where Eno='&Eno';\n\n-- 2. Find the Email where the employee name is unknown\nselect email from Employee2@linkmsc2 where Eno = (select Eno from Employee1@linkmsc1 where Ename='&Ename');\n\n-- 3. Find the employee name and Email where employee number is unknown\nselect a.Ename,b.Email from Employee1@linkmsc1 a, Employee2@linkmsc2 b where a.Eno=b.Eno and b.Eno='&Eno';\n\n-- 4. Find the employee name whose salary is > 2000\nselect a.Ename from Employee1@linkmsc1 a, Employee2@linkmsc2 b where a.Eno=b.Eno and b.Salary>2000;"}
{"doc_id": "00e56774bb641baf68bd4f8e0c3d3fc3", "text": "-- Self join\n\n-- 1)\n-- How many stops are in the database.\n\n--  Answer \nSELECT COUNT(id)\n FROM stops\n\n-- 2)\n-- Find the id value for the stop 'Craiglockhart'\n\n--  Answer  \nSELECT id\n FROM stops\nWHERE name = 'Craiglockhart'\n\n-- 3)\n-- Give the id and the name for the stops on the '4' 'LRT' service.\n\n--  Answer  \nSELECT id, name\n FROM stops JOIN route ON (id = stop)\nWHERE num = '4' AND company= 'LRT'\n\n\n\n-- 4)\n-- The query shown gives the number of routes that visit either London Road (149) or Craiglockhart (53). \n-- Run the query and notice the two services that link these stops have a count of 2.\n-- Add a HAVING clause to restrict the output to these two routes.\nSELECT company, num, COUNT(*)\nFROM route WHERE stop=149 OR stop=53\nGROUP BY company, num\n\n-- Answer  \nSELECT company, num, COUNT(*)\nFROM route WHERE stop=149 OR stop=53\nGROUP BY company, num\nHAVING COUNT(*) >= 2\n\n\n\n-- 5)\n-- Execute the self join shown and observe that b.stop gives all the places you can get to from Craiglockhart, without changing routes. \n-- Change the query so that it shows the services from Craiglockhart to London Road.\nSELECT a.company, a.num, a.stop, b.stop\nFROM route a JOIN route b ON\n  (a.company=b.company AND a.num=b.num)\nWHERE a.stop=53\n\n--  Answer  \nSELECT a.company, a.num, a.stop, b.stop\nFROM route a JOIN route b ON\n  (a.company=b.company AND a.num=b.num)\nWHERE a.stop=53 AND b.stop=149\n\n\n-- 6)\n-- The query shown is similar to the previous one, however by joining two copies of \n-- the stops table we can refer to stops by name rather than by number. \n-- Change the query so that the services between 'Craiglockhart' and 'London Road' are shown. \n--If you are tired of these places try 'Fairmilehead' against 'Tollcross'\nSELECT a.company, a.num, stopa.name, stopb.name\nFROM route a JOIN route b ON\n  (a.company=b.company AND a.num=b.num)\n  JOIN stops stopa ON (a.stop=stopa.id)\n  JOIN stops stopb ON (b.stop=stopb.id)\nWHERE stopa.name='Craiglockhart'\n\n--  Answer  \nSELECT a.company, a.num, stopa.name, stopb.name\nFROM route a JOIN route b ON\n  (a.company=b.company AND a.num=b.num)\n  JOIN stops stopa ON (a.stop=stopa.id)\n  JOIN stops stopb ON (b.stop=stopb.id)\nWHERE stopa.name='Craiglockhart' AND stopb.name='London Road'\n\n\n\n-- 7)\n-- Give a list of all the services which connect stops 115 and 137 ('Haymarket' and 'Leith')\n\n--  Answer  \nSELECT DISTINCT a.company, a.num\nFROM route a JOIN route b ON\n  (a.company=b.company AND a.num=b.num)\nWHERE a.stop=115 AND b.stop=137\n\n\n\n-- 8)\n-- Give a list of the services which connect the stops 'Craiglockhart' and 'Tollcross'\n\n--  Answer  \nSELECT a.company, a.num\nFROM route a JOIN route b ON\n  (a.company=b.company AND a.num=b.num)\n  JOIN stops stopa ON (a.stop=stopa.id)\n  JOIN stops stopb ON (b.stop=stopb.id)\nWHERE stopa.name='Craiglockhart' AND stopb.name='Tollcross'\n\n\n\n-- 9)\n-- Give a distinct list of the stops which may be reached from 'Craiglockhart' by taking one bus,\n-- including 'Craiglockhart' itself, offered by the LRT company. Include the company and bus no. \n-- of the relevant services.\n\n--  Answer  \nSELECT stopa.name, a.company, a.num\nFROM route a JOIN route b ON\n  (a.company=b.company AND a.num=b.num)\n  JOIN stops stopa ON (a.stop=stopa.id)\n  JOIN stops stopb ON (b.stop=stopb.id)\nWHERE stopb.name='Craiglockhart'\n\n\n-- 10)\n-- Use CASE to show the name of each teacher followed by 'Sci' if the teacher is in dept 1 or 2, \n-- show 'Art' if the teacher's dept is 3 and 'None' otherwise.\n\n--  Answer  \nSELECT  a.num, a.company, stopb.name, d.num, d.company \nFROM \n route a JOIN route b ON (a.company=b.company AND a.num=b.num) \n  JOIN ( route c JOIN route d ON (c.company = d.company AND c.num= d.num))\n  JOIN stops stopa ON (a.stop=stopa.id)\n  JOIN stops stopb ON (b.stop=stopb.id)\n  JOIN stops stopc ON (c.stop=stopc.id)\nJOIN stops stopd ON (d.stop=stopd.id)\n  WHERE  stopa.name = 'Craiglockhart' AND stopd.name = 'Lochend' AND stopb.name = stopc.name"}
{"doc_id": "00f250a291120b63dfecbdd78d77516b", "text": "\n/* \nMIN(), MAX() functions. \n\nMIN() >> Returns the smallest value of the selected column\nMAX() >> Returns the largest value of the selected column\n\n*/ \n\n-- Sample with MIN() function (generic) \nSELECT MIN(column_name) \nFROM table_name \nWHERE condition; \n\n-- Sample with MAX() function (generic) \nSELECT MAX(column_name) \nFROM table_name \nWHERE condition;\n \n \n-- SELECT min values from a column(implemented) \nSELECT MIN(price) AS smallest_price \nFROM products; \n\n-- SELECT max values from a column(implemented) \nSELECT MAX(price) AS largest_price \nFROM products; \n\n/* \nwindow function ( COUNT(), AVG(), SUM() )  all of them perform an operation above all the the values from the resulset obtained. \n\nCOUNT() >> Counts all the registers(fields) obtained from a query. \nAVG()   >> Returns an average number from all the values obtained. \nSUM()   >> Sum all the values obtainers after being performed a query. \n\n*/ \n\n-- Sample COUNT() implemented (generic)\nSELECT COUNT(column_name) \nFROM table_name \nWHERE condition; \n\n-- Sample AVG() implemented (generic)\nSELECT AVG(column_name) \nFROM table_name \nWHERE condition; \n\n-- Sample SUM() implemented (generic)\nSELECT SUM(column_name) \nFROM table_name \nWHERE condition; \n\n-- Sample COUNT() query (implemented)\nSELECT COUNT(product_id) \nFROM products; \n\n-- Sample SUM() query (implemented)\nSELECT ACG(price) \nFROM products; \n\n-- Sample AVG() query (implemented)\nSELECT SUM(quantity) \nFROM order_details; \n\n/* \nLIKE operator >> Used for make search with patterns of words that match in some ways to register of a field. \n\nUsually like a REGEX function that let us perform this searchs, all the words used as pattern can be affected by the wildcards ('%','_') \n\n% symbol >> Represents zero, one, or multiple characters. \n_ symbol >> Represents a single character. \n\nsome Combinations of wildcards : \n'n%' \t>> - Performs a search where 'n' it's the first character.  \n'%n' \t>> - Performs a search where 'n' it's the last character.\n'%n%' \t>> - Performs a search where 'n' it's somewhere between the beggining and the end.\n'_n%'   >> - Performs a search where 'n' it's almost at the beggining, the first place it's ocuppied by other character.\n'n_%'   >> - Performs a search where 'n' it's at the begginning follow of one characters. \n'n__%'  >> - Performs a search where 'n' it's at the begginning follow of two characters. \n'n%p'   >> - Performs a search where 'n' it's at the beginning and 'p' at the end.  \n\n\n*/ \n\n-- Sample of a SELECT qyery qith a pattern generic after LIKE operator \nSELECT column1, column2\nFROM table_name \nWHERE column1 LIKE pattern; \n\n\n-- Sample with a search of a pattern that involves the character 'a' at the beginning \nSELECT * FROM customers \nWHERE customer_name LIKE 'a%'; \n\n-- Sample with a search of a pattern that involves the character 'a' at the end\nSELECT * FROM customers \nWHERE customer_name LIKE '%a'; \n\n-- Sample with a search of a pattern that involves the characters 'or' somewhere between the beginning and the end. \nSELECT * FROM customers \nWHERE customer_name LIKE '%or%'; \n\n-- Sample with a search of a pattern that involves the character 'r' almost at the beggining preceding a character unknown. \nSELECT * FROM customers \nWHERE customer_name LIKE '_r%';\n\n-- Sample with a search of a pattern that involves the character 'a' at the beggining followed by two characters unknown \nSELECT * FROM customers \nWHERE customer_name LIKE 'a__%'; \n\n-- Sample with a search of a pattern that involves the character 'a' at the beginning and the character 'o' at the end. \nSELECT * FROM customers \nWHERE contact_name LIKE 'a%o';\n\n-- Sample with a search of a pattern that involves the character 'a' not at the beginning \nSELECT * FROM customers \nWHERE customer_name NOT LIKE 'a%'; \n\n\n/* \nAnothers useful wildcards that can be used with the like operator :\n\n-- MS Access  wildcards\n*   >> - Represents zero or more characters. \n?   >> - Represents a single character.\n[]  >> - Represents any single character within the brackets\n!   >> - Represents any character not in the brackets. \n-   >> - Represents a range of characters\n#   >> - Represents any single numeric character \n\n-- SQL Server wildcards\n%    >> - Represents zero or more characters. \n--   >> - Represents a single character. \n[]   >> - Represents any single character withing the brackets. \n^    >> - Represents any character not in the brackets. \n-    >> - Represents a range of characters. \n\n*/\n\n\n-- Sample with using the '%' wildcard \nSELECT * FROM customers \nLIKE city FROM LIKE 'ber%'; \n\n-- Sample with using the '%word%'  pattern \nSELECT * FROM customers \nLIKE city FROM LIKE '%word%'; \n\n-- Sample with using the '_' wildcard\nSELECT * FROM customers \nWHERE city LIKE '_word'; \n\n-- Sample of multiple '_' use wildcard \nSELECT * FROM customers \nWHERE city LIKE 'L_n_on'; \n\n-- Sample of '[]' pattern search, all between the brackets are the characters to be found \nSELECT * FROM customers \nWHERE city LIKE '[bsp]%'; \n\n-- Sample of '[]' pattern search, a range of characters from 'a' to 'c' \nSELECT * FROM customers \nWHERE city LIKE '[a-c]'; \n\n-- Sample of '[!]' pattern search, all not between the brackets are the characters to be found (Version 01)\nSELECT * FROM customers \nWHERE city LIKE '[!bsp]%'; \n\n-- Sample of '[!]' pattern search, all not between the brackets are the characters to be found (Version 01)\nSELECT * FROM customers \nWHERE city NOT LIKE '[bsp]%'; \n\n/* \nSQL IN operator : Allow us to specify multiple values in a WHERE clause. \n Shortcut for multiple OR conditions . \n\nIt can be performed by passing values to the 'IN' function or as sub-query as argument of the function 'IN'. \n*/ \n\n-- Sample with 'IN' keyword. \nSELECT column_name\nFROM table_name \nWHERE column_name IN (value1, value2, ..., valueN);\n\n-- Sample with Sub-query within the first query \nSELECT column_name \nFROM table_name \nWHERE column_name IN (SELECT statement);\n\n-- Sample with 'IN' multiple-values as args (implemented) \nSELECT * FROM customers \nWHERE country IN ('Germany', 'France', 'UK'); \n\n-- Sample with 'IN' multiple-values negated as args (implemented) \nSELECT * FROM customers \nWHERE country NOT IN ('Germany', 'France', 'UK'); \n\n-- Sample with a Sub-query with multiple-values as result-set of it's execution \nSELECT * FROM customers \nWHERE country IN (SELECT country FROM suppliers);\n\n"}
{"doc_id": "00feecb0a831165b72b5d22c0577b9ad", "text": "-- Queries used for Tableau Visualization\n\n-- 1. TOTAL_CASES vs TOTAL_DEATHS vs DEATH_RATE\nSELECT location, SUM(new_cases) AS total_cases, SUM(new_deaths) AS total_deaths, SUM(new_deaths)/SUM(new_cases) AS death_rate\nFROM covid.coviddeaths\nWHERE continent IS NOT NULL\nORDER BY 1, 2;\n\n\n-- 2. GETTING THE DEATH COUNT FOR EACH CONTINENT\nSELECT location, SUM(new_deaths) as total_deaths \nFROM covid.coviddeaths\nWHERE continent IS NULL AND location NOT IN ('World', 'European Union', 'International')\nGROUP BY location ORDER BY total_deaths DESC;\n\n\n-- 3. GETTING THE INFECTED POPULATION PERCENTAGE FOR EACH COUNTRY\nSELECT location, population, MAX(total_cases) AS total_infection_count, (MAX(total_cases)/population)*100 AS percent_population_infected\nFROM covid.coviddeaths\nGROUP BY location ORDER BY percent_population_infected DESC;\n\n\n-- 4. DAILY INFECTION COUNT & INFECTED POPULATION PERCENTAGE FOR EACH COUNTRY\nSELECT location, population, date, total_cases AS total_infection_count, (total_cases/population)*100 AS percent_population_infected\nFROM covid.coviddeaths\nORDER BY percent_population_infected DESC;\n\n\n"}
{"doc_id": "010c4c6be33bac2d20e172d7ca030dc4", "text": "-- file table\nCREATE TABLE\nIF NOT EXISTS files (\n\tid INTEGER PRIMARY KEY,\n\tfilename TEXT NOT NULL,\n\tchecksum BLOB,\n\tfilesize INTEGER,\n\tbtime TIMESTAMP,\n\tctime TIMESTAMP,\n\tmtime TIMESTAMP,\n\tfilepath_id INTEGER,\n\tFOREIGN KEY (filepath_id) REFERENCES filepaths (id)\n);\n\n-- directory table\nCREATE TABLE\nIF NOT EXISTS filepaths (\n\tid INTEGER PRIMARY KEY,\n\tfilepath TEXT NOT NULL,\n\tCONSTRAINT unique_path UNIQUE (filepath)\n);\n\n-- example insert:\nINSERT OR IGNORE INTO filepaths(filepath)\nSELECT id FROM filepaths \nWHERE filepath = '/Users/brkr2801/Dropbox/python/sqlite/documentation';\n-- silently ignores errors if the entry already exists\n\n-- example selects:\n\n-- list the files and their paths (stored in different tables)\nSELECT files.filename, filepaths.filepath\nFROM files\nINNER JOIN filepaths on filepaths.id = files.filepath_id;\n\n-- search for an ID\nSELECT id FROM filepaths WHERE filepath = '/Users/brkr2801/Dropbox/python/sqlite/documentation';\n\n-- check if exists (returns 0 or 1)\nSELECT EXISTS(SELECT id FROM filepaths\nWHERE filepath = '/Users/brkr2801/Dropbox/python/sqlite/documentations');\n\n-- check for duplicates\nSELECT filename, COUNT(*) c FROM files \nGROUP BY checksum HAVING c > 1;\n\nSELECT id, filename, COUNT(*) FROM files\nGROUP BY btime HAVING COUNT(*) > 1;\n\nSELECT id, filename, COUNT(*) FROM files\nGROUP BY filesize HAVING COUNT(*) > 1;\n\n-- Despite UNIQUE, it will still double-store a lot of values\n-- as the path grows\n-- because of this, the db will also become quite large\n-- however this is FAR easier to manage than a Nested Set\n-- or worse, an Adjacency List (though it's easier to generate)\n\n-- note that ctime is attribute change time and not not file creation time\n-- for file creation time, see birth time (btime)\n\n-- birth time (btime) may be used to settle some confusion\n-- when the checksum is equal, you may want the older file \n-- it seldom makes much of a difference though, \n-- unless you're entangled in some legal battle...\n-- when the checksum is not equal, you probably want the newer file\n\n-- contents modification time (mtime) may however be the most relevant\n-- usually you want the file that was modified last, but not always\n\n-- access time (atime) is not relevant for this project\n-- as we're not trying to find trespassers\n"}
{"doc_id": "01107f2e31d350617ee6eafb18ecea9b", "text": "-- Get Rooms\nSELECT * FROM room ORDER BY id\n\n-- Get Elders // View kullan\u0131ld\u0131\nSELECT * FROM elder_view ORDER BY id\n\n-- Get Visitors\nSELECT * FROM visitor ORDER BY id\n\n-- Get Visits //V\u0130EW KULLANILDI\nSELECT * FROM visit_view ORDER BY visit_id\n\n-- Search Visits\nSELECT * FROM visit_view WHERE elder_first_name LIKE '%?%' OR elder_last_name LIKE '%?%' OR visitor1_first_name LIKE '%?%' OR visitor1_last_name LIKE '%?%' OR visitor2_first_name LIKE '%?%' OR visitor2_last_name LIKE '%?%' ORDER BY visit_id\n\n-- Insert Visit\nINSERT INTO visit(first_visitor_id, second_visitor_id, elder_id) VALUES (?, ?, ?)\n\n-- Insert Room //SEQUENCE KULLANILDI - room_number\nINSERT INTO room(room_number) VALUES(nextval('room_number'))\n\n-- Delete Room \nDELETE FROM room WHERE id=?\n\n-- Insert Visitor\nINSERT INTO visitor(first_name, last_name) VALUES (?, ?)\n\n-- Update Visitor\nUPDATE visitor SET first_name=?, last_name=? WHERE id=?\n\n-- Delete Visitor\nDELETE FROM visitor WHERE id=?\n\n-- Insert Elder\nINSERT INTO elder(first_name, last_name, date_of_birth, gender) VALUES (?, ?, ?, ?)\n\n-- Update Elder\nUPDATE elder SET first_name=?, last_name=?, date_of_birth=?, gender=? WHERE id=?\n\n-- Delete Elder\nDELETE FROM elder WHERE id=?\n\n-- Filter Visits by COUNT // AGGREGATE HAVING // UNION\nSELECT elder_first_name AS NAME,elder_last_name AS SURNAME,COUNT(elder_id) \nFROM visit_view GROUP BY elder_first_name,elder_last_name HAVING COUNT(elder_id)>=? \nUNION \nSELECT visitor1_first_name AS NAME,visitor1_last_name AS SURNAME,COUNT(visitor1_id) \nFROM visit_view GROUP BY visitor1_first_name,visitor1_last_name HAVING COUNT(visitor1_id)>=?\nUNION \nSELECT visitor2_first_name as NAME,visitor2_last_name as SURNAME,COUNT(visitor2_id) \nFROM visit_view GROUP BY visitor2_first_name,visitor2_last_name HAVING COUNT(visitor2_id)>=?"}
{"doc_id": "0113173e36b08d87e997503803b61643", "text": "5.1\nQ1\nSELECT S.sname \nFROM Students S, Class C, Enrolled E, Faculty F \nWHERE F.fid = C.fid AND F.fname = ''I. Teach' AND S.level = 'JR' AND\nC.name = E.cname AND S.snum = E.snum;\nQ2\nSELECT max(A.age) \nFROM \n\t(SELECT S.age FROM Students S WHERE S.major = 'History'\n\tUNION\n\tSELECT S.age name FROM Students S, Class C, Enrolled E, Faculty F\n\tWhere S.snum = E.snum AND F.fname = 'I. Teach' AND F.fid = C.fid AND \n\tC.name = E.cname) as A;\nQ3\nSELECT C.name \nFROM \n\t(Select R.name From Class R WHERE R.room = 'R128'\n\tUNION\n\tSelect Counted.name\n\tFROM\n\t\t(SELECT Five.name, count(Five.name) as counted\n\t\tFROM Enrolled Five group by Five.name) \n\tas Num\n\tWHERE Num.counted > 4);\nQ4\nSELECT DISTINCT S.sname\nFROM Class C1, Class C2, Student S, Enrolled E\nWHERE C1.meets_at = C2.meets_at AND S.snum = E.snum AND C1.name = E.cname;\nQ5\nSELECT F.fname\nFROM Faculty F\nWHERE NOT EXISTS\n\t(SELECT C1.room\n\tFROM Class C1\n\tEXCEPT\n\tSELECT C2.room\n\tFROM Class C2\n\tWHERE F.fid = C2.fid); \nQ6\nSELECT F.fname\nFROM Faculty, (SELECT C.fid as fid, COUNT(E.snum) as enrollments\n\t       FROM Classes C, Enrolled E\n\t       WHERE E.fid = C.fid\n\t       GROUP BY facnum) as N\nWhere F.fid = N.fid AND N.enrollments < 5;\nQ7\nSELECT S.level, AVG(age)\nFROM Students S\nGROUP BY S.level;\nQ8\nSELECT S.level, AVG(age)\nFROM Students S\nWHERE level <> 'JR'\nGROUP BY S.level;\nQ9\nSELECT S.sname \nFROM Students S,\n\t(SELECT snum, count(snum) as maxnum \n\tFROM Enrolled GROUP BY snum) as Counted,\n\t(SELECT max(maxnum) as maxnum \n\tFROM (SELECT snum, count(snum) as maxnum from Enrolled GROUP BY snum)) as Max\nWHERE S.snum = Counted.snum AND Counted.maxnum = Max.maxnum;\nQ10\nSELECT S.sname\nFROM Students S\nWHERE S.snum NOT IN \n\t(SELECT snum from Enrolled);\nQ11\nSelect A.age, max(countlvl)\nFROM\t\n\t(SELECT S.age as age, S.level, count(S.level) as countlvl\n\tFROM Students S\n\tGROUP BY S.age, S.level) as A\nGROUP BY A.age;\n5.3\nQ1\nSELECT aname\nFROM Aircraft \nEXCEPT\nSELECT A.aname\nFROM Aircraft A, Employees E, Certified C\nWHERE A.aid = C.aid AND E.eid = C.eid AND E.salary < 80000\nQ2\nSELECT P.pilots, MAX(A.crusingrange)\nFROM Aircraft A, Certified C,\n\t(SELECT eid as pilots, count(eid) as counted\n\tFROM Certified) as P\n\tGroup By pilots\nWHERE P.pilots > 3 AND A.aid = C.aid AND P.pilots = C.eid \nGROUP BY pilots;\nQ3\nSELECT E.ename, E.eid\nFROM Employees,\n\t(SELECT MIN(F.price) as cheapest\n\tFROM Flights F\n\tWHERE from = 'Los Angeles' AND to = 'Honolulu) as Wages\nWHERE E.salary < Wages.cheapest;\nQ4\nSELECT A.aid, AVG(E.salary)\nFROM Employees E, Aircraft A, Certified C\nWHERE E.eid = C.eid AND A.aid - C.aid AND A.cruisingrange > 1000\nGROUP BY A.aid;\nQ5\nSELECT E.ename\nFROM Employees E, Certified C, Aircraft A\nWHERE E.eid = C.eid AND C.aid = a.aid AND A.name like 'BOEING%';\nQ6\nSELECT A.aid\nFROM Aircraft A, Flights F\nWHERE A.cruisingrange > F.distance AND F.from = 'Los Angeles' AND F.to = 'Chicago';\nQ7\nSELECT A.aid\nFROM Aircraft A, Flights F\nWHERE A.crusiingrange > F.distance;\nSELECT F.flno\nFROM Flights F\nWHERE NOT EXISTS\n\t(SELECT E.eid\n\tFROM E.Employees\n\tWHERE E.salary > 100000\n\tEXCEPT \n\tSELECT E.eid\n\tFROM EMPLOYEES E, Certified C, Aircraft A\n\tWHERE E.eid = C.eid AND A.aid = C.aid AND A.cruisingrange > F.distance);\nQ8. \nSELECT E.ename\nFROM Employees E, Aircraft A, Certified C\nWHERE E.eid = C.eid AND A.aid = C.aid AND A.cruisingrange > 3000\nEXCEPT\nSELECT E.ename\nFROM Employees E, Aircraft A, Certified C\nWHERE E.eid = C.eid AND A.aid = C.aid AND A.aname NOT LIKE 'BOEING%';\nQ9\nSELECT flno\nFROM Flights\nWHERE from = 'Madison' AND to = 'New York' AND arrives < 18:00:00;\n\nSELECT F1.flno, F2.flno\nFROM Flights F1, Flights F2\nWHERE F1.from = 'Madison' AND F2.to = 'New York' AND F2.arrives < 18:00:00\nAND F1.arrives < F2.departs AND F1.to = F2.FROM;\n\nSELECT F1.flno, F2.flno, F3.flno\nFROM Flights F1, Flights F2, Flights F3\nWHERE F1.from = 'Madison' AND F3.to = 'New York' AND F3.arrives < 18:00:00\nAND F1.arrives < F2.departs AND F1.to = F2.FROM AND F2.arrives < F3.departs\nAND F2.to = F3.from;\nQ10\nSELECT (P.pilots - A.allemp)\nFROM\n\t(SELECT AVG(E.salary) as pilots\n\tFROM Employees E. Certified C\n\tWHERE E.eid in C.eid) as P,\n\t(SELECT AVG(E.salary) as allemp\n\tFROM Employees E) as A;\nQ11\nSELECT E.salary, E.ename\nFROM Employees\n\t(SELECT AVG(E.salary) as pilots\n\tFROM Employees E. Certified C\n\tWHERE E.eid in C.eid) as P\nWHERE E.salary > P.pilots\nEXCEPT\nSELECT E.salary E.name\nFROM Employees, Certified C\nWHERE E.eid = C.eid;\n5.4\nQ1\nSELECT E.ename, E.age\nFROM Emp E, Works W, Dept D\nWHERE E.eid = W.eid AND W.did = D.did AND D.did = 'Hardware#'\nINTERSECT\nSELECT E.ename, E.age\nFROM Emp E, Works W, Dept D\nWHERE E.eid = W.eid AND W.did = D.did AND D.did = 'Software#';\nQ2.\nSELECT D.dept, count(W.eid)\nFROM Works,\n\t(SELECT W.did as dept, SUM(W.pct_time) as hours\n\tFROM Works W\n\tGROUP BY dept) as D\nWHERE D.dept = W.did AND D.hours > 20\nGROUP BY D.dept;\nQ3.\nSELECT E.eid, E.ename\nFROM Employees E, Works W, Dept D\nWHERE E.eid = W.eid AND W.did = D.did AND E.salary > S.budget\nEXCEPT\nSELECT E.eid, E.ename\nFROM Employees E, Works W, Dept D\nWHERE E.eid = W.eid AND W.did = D.did AND E.salary < S.budget;\nQ4.\nSELECT D.managerid\nFROM Dept D\nWHERE D.budget > 1000000\nINTERSECT\nSELECT D.managerid\nFROM Dept D\nWHERE D.budget <= 1000000;\nQ5.\nSELECT E.ename\nFROM Emp E, Dept D,\n\t(SELECT max(D.budget) as maxbud\n\tFROM Dept D) as B\nWHERE E.eid = D.managerid AND B.maxbud = D.budget;\nQ6.\nSELECT M.man\nFROM\t\n\t(SELECT D.manager as man, SUM(D.budget) as totbud\n\tFROM Dept D\n\tGROUP BY D.manager) as M\nWHERE M.totbud > 5000000;\nQ7.\nSELECT \n(SELECT MAX(totbud)\nFROM\t\n\t(SELECT D.manager as man, SUM(D.budget) as totbud\n\tFROM Dept D\n\tGROUP BY D.manager) as M)\n\n\t\n\n\n\n"}
{"doc_id": "011460bb626c68091b8c668d694b5f46", "text": "--B-tree index bloat (estimated)\n\n-- enhanced version of https://github.com/ioguix/pgsql-bloat-estimation/blob/master/btree/btree_bloat.sql\n\n-- WARNING: executed with a non-superuser role, the query inspect only index on tables you are granted to read.\n-- WARNING: rows with is_na = 't' are known to have bad statistics (\"name\" type is not supported).\n-- This query is compatible with PostgreSQL 8.2+\n\nwith step1 as (\n  select\n    i.nspname as schema_name,\n    i.tblname as table_name,\n    i.idxname as index_name,\n    i.reltuples,\n    i.relpages,\n    i.relam,\n    a.attrelid AS table_oid,\n    current_setting('block_size')::numeric AS bs,\n    fillfactor,\n    -- MAXALIGN: 4 on 32bits, 8 on 64bits (and mingw32 ?)\n    case when version() ~ 'mingw32|64-bit|x86_64|ppc64|ia64|amd64' then 8 else 4 end as maxalign,\n    /* per page header, fixed size: 20 for 7.X, 24 for others */\n    24 AS pagehdr,\n    /* per page btree opaque data */\n    16 AS pageopqdata,\n    /* per tuple header: add IndexAttributeBitMapData if some cols are null-able */\n    case\n      when max(coalesce(s.null_frac,0)) = 0 then 2 -- IndexTupleData size\n      else 2 + (( 32 + 8 - 1 ) / 8) -- IndexTupleData size + IndexAttributeBitMapData size ( max num filed per index + 8 - 1 /8)\n    end as index_tuple_hdr_bm,\n    /* data len: we remove null values save space using it fractionnal part from stats */\n    sum((1 - coalesce(s.null_frac, 0)) * coalesce(s.avg_width, 1024)) as nulldatawidth,\n    max(case when a.atttypid = 'pg_catalog.name'::regtype then 1 else 0 end) > 0 as is_na\n  from pg_attribute as a\n  join (\n    select\n      nspname, tbl.relname AS tblname, idx.relname AS idxname, idx.reltuples, idx.relpages, idx.relam,\n      indrelid, indexrelid, indkey::smallint[] AS attnum,\n      coalesce(substring(array_to_string(idx.reloptions, ' ') from 'fillfactor=([0-9]+)')::smallint, 90) as fillfactor\n    from pg_index\n    join pg_class idx on idx.oid = pg_index.indexrelid\n    join pg_class tbl on tbl.oid = pg_index.indrelid\n    join pg_namespace on pg_namespace.oid = idx.relnamespace\n    where pg_index.indisvalid AND tbl.relkind = 'r' AND idx.relpages > 0\n  ) as i on a.attrelid = i.indexrelid\n  join pg_stats as s on\n    s.schemaname = i.nspname\n    and (\n      (s.tablename = i.tblname and s.attname = pg_catalog.pg_get_indexdef(a.attrelid, a.attnum, true)) -- stats from tbl\n      OR (s.tablename = i.idxname AND s.attname = a.attname) -- stats from functionnal cols\n    )\n  join pg_type as t on a.atttypid = t.oid\n  where a.attnum > 0\n  group by 1, 2, 3, 4, 5, 6, 7, 8, 9\n), step2 as (\n  select\n    *,\n    (\n      index_tuple_hdr_bm + maxalign\n      -- Add padding to the index tuple header to align on MAXALIGN\n      - case when index_tuple_hdr_bm % maxalign = 0 THEN maxalign else index_tuple_hdr_bm % maxalign end\n      + nulldatawidth + maxalign\n      -- Add padding to the data to align on MAXALIGN\n      - case\n          when nulldatawidth = 0 then 0\n          when nulldatawidth::integer % maxalign = 0 then maxalign\n          else nulldatawidth::integer % maxalign\n        end\n    )::numeric as nulldatahdrwidth\n    -- , index_tuple_hdr_bm, nulldatawidth -- (DEBUG INFO)\n  from step1\n), step3 as (\n  select\n    *,\n    -- ItemIdData size + computed avg size of a tuple (nulldatahdrwidth)\n    coalesce(1 + ceil(reltuples / floor((bs - pageopqdata - pagehdr) / (4 + nulldatahdrwidth)::float)), 0) as est_pages,\n    coalesce(1 + ceil(reltuples / floor((bs - pageopqdata - pagehdr) * fillfactor / (100 * (4 + nulldatahdrwidth)::float))), 0) as est_pages_ff\n    -- , stattuple.pgstatindex(quote_ident(nspname)||'.'||quote_ident(idxname)) AS pst, index_tuple_hdr_bm, maxalign, pagehdr, nulldatawidth, nulldatahdrwidth, reltuples -- (DEBUG INFO)\n  from step2\n  join pg_am am on step2.relam = am.oid\n  where am.amname = 'btree'\n), step4 as (\n  SELECT\n    *,\n    bs*(relpages)::bigint AS real_size,\n-------current_database(), nspname AS schemaname, tblname, idxname, bs*(relpages)::bigint AS real_size,\n    bs*(relpages-est_pages)::bigint AS extra_size,\n    100 * (relpages-est_pages)::float / relpages AS extra_ratio,\n    bs*(relpages-est_pages_ff) AS bloat_size,\n    100 * (relpages-est_pages_ff)::float / relpages AS bloat_ratio\n    -- , 100-(sub.pst).avg_leaf_density, est_pages, index_tuple_hdr_bm, maxalign, pagehdr, nulldatawidth, nulldatahdrwidth, sub.reltuples, sub.relpages -- (DEBUG INFO)\n  from step3\n  -- WHERE NOT is_na\n)\nselect\n  case is_na when true then 'TRUE' else '' end as \"Is N/A\",\n  format(\n    $out$%s\n  (%s)$out$,\n    left(index_name, 50) || case when length(index_name) > 50 then '\u2026' else '' end,\n    coalesce(nullif(schema_name, 'public') || '.', '') || table_name\n  ) as \"Index (Table)\",\n  pg_size_pretty(real_size::numeric) as \"Size\",\n  case\n    when extra_size::numeric >= 0\n      then '~' || pg_size_pretty(extra_size::numeric)::text || ' (' || round(extra_ratio::numeric, 2)::text || '%)'\n    else null\n  end  as \"Extra\",\n  case\n    when bloat_size::numeric >= 0\n      then '~' || pg_size_pretty(bloat_size::numeric)::text || ' (' || round(bloat_ratio::numeric, 2)::text || '%)'\n    else null\n  end as \"Bloat\",\n  case\n    when (real_size - bloat_size)::numeric >=0\n      then '~' || pg_size_pretty((real_size - bloat_size)::numeric)\n      else null\n   end as \"Live\",\n  fillfactor\nfrom step4\norder by real_size desc nulls last\n;\n\n/*\nAuthor of the original version:\n  2015, Jehan-Guillaume (ioguix) de Rorthais\nLicense of the original version:\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n* Redistributions of source code must retain the above copyright notice, this\n  list of conditions and the following disclaimer.\n* Redistributions in binary form must reproduce the above copyright notice,\n  this list of conditions and the following disclaimer in the documentation\n  and/or other materials provided with the distribution.\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n*/\n\n"}
{"doc_id": "01216f8ba9fdb2c400dc55edf623ba31", "text": "\nCREATE USER simpletracker WITH PASSWORD 'simpletracker';\nCREATE DATABASE simpletracker;\n\n\\c simpletracker\n\nDROP TABLE IF EXISTS invitations;\nDROP TABLE IF EXISTS peers;\nDROP TABLE IF EXISTS torrents;\nDROP TABLE IF EXISTS users;\n\nCREATE TABLE users (\n    user_id serial PRIMARY KEY,\n    username varchar(255) NOT NULL,\n    password varchar(255) NOT NULL,\n    passkey varchar(255) NOT NULL,\n    email varchar(255) NOT NULL,\n    invited_by serial REFERENCES users (user_id)\n);\n\nCREATE TABLE torrents (\n    torrent_id serial PRIMARY KEY,\n    user_id serial REFERENCES users (user_id) NOT NULL,\n    anonymous boolean NOT NULL DEFAULT false,\n    name varchar(1023) NOT NULL,\n    description text NOT NULL,\n    data bytea NOT NULL,\n    submitted timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,\n    info_hash char(40) NOT NULL,\n    total_size bigint NOT NULL\n);\n\nCREATE TABLE peers (\n    peer_id serial PRIMARY KEY,\n    user_id serial REFERENCES users (user_id) NOT NULL,\n    torrent_id serial REFERENCES torrents (torrent_id) NOT NULL,\n    chosen_peer_id char(40) NOT NULL,\n    ip varchar(255) NOT NULL,\n    port integer NOT NULL,\n    completed boolean NOT NULL DEFAULT false,\n    last_announce timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP\n);\n\nCREATE UNIQUE INDEX ON peers (user_id, torrent_id, chosen_peer_id);\n\nCREATE TABLE invitations (\n    invitation_id serial PRIMARY KEY,\n    user_id serial REFERENCES users (user_id),\n    email varchar(255) NOT NULL,\n    invitation_key varchar(255) NOT NULL\n);\n\nCREATE UNIQUE INDEX ON invitations (email, invitation_key);\n\n\nGRANT SELECT, INSERT, UPDATE, DELETE ON TABLE users TO simpletracker;\nGRANT USAGE, SELECT ON SEQUENCE users_user_id_seq TO simpletracker;\nGRANT USAGE, SELECT ON SEQUENCE users_invited_by_seq TO simpletracker;\nGRANT SELECT, INSERT, UPDATE, DELETE ON TABLE torrents TO simpletracker;\nGRANT USAGE, SELECT ON SEQUENCE torrents_torrent_id_seq TO simpletracker;\nGRANT SELECT, INSERT, UPDATE, DELETE ON TABLE peers TO simpletracker;\nGRANT USAGE, SELECT ON SEQUENCE peers_peer_id_seq TO simpletracker;\nGRANT SELECT, INSERT, UPDATE, DELETE ON TABLE invitations TO simpletracker;\nGRANT USAGE, SELECT ON SEQUENCE invitations_invitation_id_seq TO simpletracker;\n\n\nINSERT INTO users (username, password, passkey, email) VALUES ('simpletracker', '$2y$10$6xA.5jOqve6N3OTQ6v1pEe1mUOvP30DtNuk/TAgjhM87YXCuseOOm', 'a087597edaae687d7f3d71da5431fce2', '@');\n-- password is simpletracker\n\n"}
{"doc_id": "012b3d298b8acf58d757d0d4a10629f1", "text": "SELECT \n\tDepartmentID,\n\tSalary AS ThirdHighestSalary\nFROM\n(\n\tSELECT \n\t\tDepartmentID,\n\t\tSalary,\n\t\tDENSE_RANK() OVER (PARTITION BY DepartmentId ORDER BY Salary DESC) AS SalaryRank\n\tFROM Employees\n) AS Salaries\nWHERE Salaries.SalaryRank = 3\nGROUP BY DepartmentID, Salary\n\n-- Another solution \n\nWITH CTE_Numbered AS (\n\tSELECT DISTINCT\n\t\tDepartmentId,\n\t\tSalary,\n\t\tDENSE_RANK() OVER(PARTITION BY DepartmentId ORDER BY Salary DESC) AS RowNum\n\tFROM Employees\n)\n\nSELECT  \n\tDepartmentId,\n\tSalary\nFROM CTE_Numbered\nWHERE RowNum = 3 "}
{"doc_id": "0138c0f38a64eb52559ae1306dd3f607", "text": "SELECT\n\tc.NAME AS Customers\nFROM\n\tCustomers c\nWHERE\n\tc.Id NOT IN ( SELECT o.CustomerId FROM Orders o );\n\n\tselect c.`Name` as Customers from Customers c left join Orders o on c.Id = o.CustomerId where o.CustomerId is NULL;\n\nselect `Name` as `Customers` from Customers where Id not in (select CustomerId from Orders);"}
{"doc_id": "014db97c2808e9a8b4083d318a590753", "text": "SELECT submissions.hacker_id, name\nFROM submissions\n         JOIN challenges\n              ON submissions.challenge_id = challenges.challenge_id\n         JOIN hackers\n              ON submissions.hacker_id = hackers.hacker_id\nWHERE score = (\n    SELECT score\n    FROM difficulty\n    WHERE difficulty_level = challenges.difficulty_level\n)\nGROUP BY submissions.hacker_id, name\nHAVING count(submissions.challenge_id) > 1\nORDER BY count(submissions.challenge_id) DESC, submissions.hacker_id;"}
{"doc_id": "01521775bcb0a4f08e5af5640bffb9b2", "text": "DROP TABLE publisher;\nDROP TABLE book;\n\nCREATE TABLE publisher (\n    id SERIAL unique,\n    name VARCHAR(255),\n    city VARCHAR(255)\n);\n\nCREATE TABLE book (\n    id SERIAL,\n    name VARCHAR(255),\n    author VARCHAR(255),\n    publisher_id INT REFERENCES publisher(id)\n);\n\nINSERT INTO publisher (name, city)\nVALUES ('DMK', 'Moscow'),\n       ('MIF', 'Moscow'),\n       ('Piter', 'St. Petersburg'),\n       ('AST', 'Moscow'),\n       ('Rosman', 'Moscow'),\n       ('Kazan-book', 'Kazan');\n\nINSERT INTO book (name, author, publisher_id)\nVALUES ('War and Peace', 'Tolstoy', 1),\n       ('SICP', 'Abelson', 1),\n       ('Anna Karenina', 'Tolstoy', 4),\n       ('Poetry', 'Pushkin', 3),\n       ('Harry Potter', 'Rowling', 5);\n\nINSERT INTO publisher (name, city)\nVALUES ('Open source', 'New York');\n\nINSERT INTO publisher (name, city)\nVALUES ('Oreilly', 'Sebastopol');\n\nSELECT * FROM publisher;\n\nINSERT INTO book (name, author, publisher_id)\nVALUES ('The Subtle Art', 'Manson', 3),\n       ('LYAHFAGG', 'Miron', 7),\n       ('Learning Java', 'Niemeyer', 8),\n       ('Learning React', 'Banks', 8),\n       ('Unix in a Nutshell', 'Robbins', 8),\n       ('HTML5', 'Pilgrim', 8);\n\n\n-----------------------\n-------- TASKS --------\n-----------------------\n\n-- \u0432\u044b\u0432\u0435\u0441\u0442\u0438 \u043f\u0430\u0440\u044b \u0430\u0432\u0442\u043e\u0440 - \u0438\u0437\u0434\u0430\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u043e, \u0443\u043f\u043e\u0440\u044f\u0434\u043e\u0447\u0435\u043d\u043d\u044b\u0435 \u043f\u043e \u0430\u0432\u0442\u043e\u0440\u0430\u043c\nSELECT DISTINCT b.author, p.name FROM\n  book b INNER JOIN publisher p\n  ON b.publisher_id = p.id\n  ORDER BY b.author;\n\n\n-- \u0432\u044b\u0432\u0435\u0441\u0442\u0438 \u0438\u0437\u0434\u0430\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u044e\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u041f\u0443\u0448\u043a\u0438\u043d\u0430\nSELECT *\nFROM publisher p\nWHERE EXISTS(SELECT 1\n             FROM book b\n             WHERE b.publisher_id = p.id\n               AND b.author = 'Pushkin')\n      AND NOT EXISTS(SELECT 1 FROM book b\n              WHERE b.publisher_id = p.id\n                AND b.author != 'Pushkin');\n\nSELECT *\nFROM publisher p\nWHERE EXISTS(SELECT 1\n             FROM book b\n             WHERE b.publisher_id = p.id\n               AND b.author = 'Pushkin');\n\n\nSELECT DISTINCT p.id, p.name\n  FROM publisher p JOIN book b\n  ON p.id = b.publisher_id\nGROUP BY b.author, p.id, p.name\nHAVING COUNT(b.author) = 1 AND EXISTS(b.author = 'Pushkin')\n;\n\nSELECT p.id, p.name\n  FROM publisher p JOIN book b on p.id = b.publisher_id\n  WHERE EXISTS(b.author = 'Pushkin')\n    AND NOT EXISTS(b.author <> 'Pushkin')\n;\n\n-- \u0432\u044b\u0432\u0435\u0441\u0442\u0438 \u0442\u043e\u043f 10 \u0438\u0437\u0434\u0430\u0442\u0435\u043b\u044c\u0441\u0442\u0432 \u043f\u043e \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0432\u0442\u0443 \u043a\u043d\u0438\u0433\nSELECT p.id, p.name, COUNT(b.id) AS books_count\n  FROM publisher p\n    LEFT JOIN book b\n      ON p.id = b.publisher_id\n  GROUP BY p.id, p.name\n  ORDER BY books_count DESC\nLIMIT 10\n;\n\n\n-- \u0432\u044b\u0432\u0435\u0441\u0442\u0438 \u0430\u0432\u0442\u043e\u0440\u043e\u0432 \u0443 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043c\u0435\u043d\u044c\u0448\u0435 \u0434\u0432\u0443\u0445 \u043a\u043d\u0438\u0433 \u0432 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0435\nSELECT b.author, COUNT(b.id) AS books_count\n  FROM book b\n  GROUP BY b.author\n;\n\n-- \u0432\u044b\u0432\u0435\u0441\u0442\u0438 \u0432\u0441\u0435 \u0438\u0437\u0434\u0430\u0441\u0442\u0435\u043b\u044c\u0432\u0430 \u0441 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u043a\u043d\u0438\u0433 \u0432 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0435\nSELECT p.id, p.name, COUNT(b.id) AS books_count\n  FROM publisher p\n    LEFT JOIN book b\n      ON p.id = b.publisher_id\n  GROUP BY p.id, p.name\n;\n\n-- \u0432\u044b\u0432\u0435\u0441\u0442\u0438 \u043f\u0435\u0440\u0432\u044b\u0435 6 \u0447\u0438\u0441\u0435\u043b \u0424\u0438\u0431\u043e\u043d\u0430\u0447\u0447\u0438\nSELECT 1 UNION ALL\nSELECT 1 UNION ALL\nSELECT 2 UNION ALL\nSELECT 3 UNION ALL\nSELECT 5 UNION ALL\nSELECT 8;\n\nSELECT * FROM book LIMIT 120;\n\nDELETE FROM book WHERE id > 15;\n\n-- \u0441\u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0442\u044b\u0441\u044f\u0447\u0443 \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u0432 \u043a\u043d\u0438\u0433\u0438\nINSERT INTO book (name, author, publisher_id)\nSELECT k :: VARCHAR, k :: VARCHAR, k % 8 + 1\nFROM generate_series(1, 1000) AS k;\n"}
{"doc_id": "0153bef28eb473d64093ab36e4ed8c38", "text": "--- 1 ---\n\nSELECT title FROM books WHERE SUBSTRING(title, 1, 3) = \"The\"\n\n--- 2 ---\n\nselect replace (b.title ,'The','***') as title from books as b\nwhere Substring(b.title,1,3)='The' order by b.id\n\n\n--- 3 ---\n\nselect round(sum(b.cost),2)as sum\nfrom books as b\n\n\n--- 4 ---\n\nselect concat(a.first_name,\" \", a.last_name )as FullName \n,DATEDIFF(a.died,a.born)as DaysLived \nfrom authors as a\n\n\n--- 5 ---\n\nselect b.title from books as b\nwhere b.title like concat('Harry Potter','%')\n"}
{"doc_id": "017ea4977ca18267bc52f97e900ce9b4", "text": "\ufeffCREATE TABLE Customer(\ncustno VARCHAR2(2) PRIMARY KEY,\ncname VARCHAR2(7),\ncity VARCHAR2(7));\n\nCreate table order1(\norderno varchar2(2) primary key,\norderdate date,\ncustno varchar2(2) not null,\nitemno varchar2(2),\nqty number(3, 0));\n\ncreate table item(\nitemno varchar(2) primary key,\nitemname varchar(10),\nunitprice number(30));\n\ninsert into customer values('C1', 'Anu', 'Mumbai');\ninsert into customer values('C2', 'k', 'Mumbai');\ninsert into customer values('C3', 'w', 'Mumbai');\n\ninsert into order1 values('O1', TO_DATE('02-09-18', 'DD-MM-YY'), 'C3', 'I1', 10);\ninsert into order1 values('O2', to_DATE('01-07-18', 'DD-MM-YY'), 'C1', 'I2', 5);\ninsert into order1 values('O3', to_DATE('01-08-18', 'DD-MM-YY'), 'C1', 'I1', 1);\n\nINSERT INTO ITEM VALUES('I1', 'Pen', 70);\nINSERT INTO ITEM VALUES('I2', 'Wallet', 89);\nINSERT INTO ITEM VALUES('I3', 'Notebook', 78);\n\n\n\n--1 \nSELECT orderno, orderdate FROM order1 WHERE custno IN(SELECT custno FROM CUSTOMER where CITY = 'Mumbai');\n---\nOR ORDERDATE\n-- ---------\nO1 02-SEP-18\nO2 01-JUL-18\nO3 01-AUG-18\n---\n\n\n\n--2\nSELECT custno from ORDER1 WHERE SUBSTR(TO_CHAR(orderdate, 'DD-MM-YY'), 5, 1) = 9;\n---\nCU\n--\nC3\n---\n\n\n\n--3\n--display details of customers who have placed >1 orders from 1-07-18 to 01-09-18\nselect * from customer where custno IN(select custno from order1 where orderdate between TO_DATE('01-07-18', 'DD-MM-YY') AND TO_DATE('01-09-2018', 'DD-MM-YY'));\nselect * from customer where custno IN(select custno from order1 where orderdate between TO_DATE('01-07-18', 'DD-MM-YY') AND TO_DATE('01-09-2018', 'DD-MM-YY') having count(orderno) > 1);\n--select * from customer where custno IN(select custno from order1 where count(orderno) > 1 AND orderdate between TO_DATE('01-07-18', 'DD-MM-YY') AND TO_DATE('01-09-2018', 'DD-MM-YY'));\n--SELECT CUSTOMER.CUSTID, CNAME, CITY, orderno FROM CUSTOMER, ORDER1 WHERE ORDER1.orderdate between TO_DATE('01-07-18', 'DD-MM-YY') AND TO_DATE('01-09-2018', 'DD-MM-YY');\n--SELECT CUSTOMER.CUSTID, CNAME, CITY, orderno FROM CUSTOMER, ORDER1 WHERE count(ORDER1.orderno) > 1 AND ORDER1.orderdate between TO_DATE('01-07-18', 'DD-MM-YY') AND TO_DATE('01-09-2018', 'DD-MM-YY');\n---GROUP BY NOT ALLOWED ERROR -- COUNT()\nCU CNAME   CITY\n-- ------- -------\nC1 Anu     Mumbai\n---\n\n\n\n--4\nselect * from ORDER1 Where itemno = 'I1' AND qty >= 5;\n---\nOR ORDERDATE CU IT        QTY\n-- --------- -- -- ----------\nO1 02-SEP-18 C3 I1         10\n---"}
{"doc_id": "019aa96361f5a92966f40272bccfa076", "text": "1. --A simple display all that can be used for any table, very handy in many cases.\nselect *\nfrom customers\nOrder by region;\n\n2. --View for calculating some useful values for later calculations. I included the id's so i can easily join the view with \n    --any other view or table.\ncreate or replace view Orders_v1 as\nselect o.Ord_id, p.Prod_id, w.Warehouse_id\n    ,DECODE(INSTR(p.PEGI_rating, '18'), 0, 'NO', 'YES') Rated_R\n    ,DECODE(p.Edition, 'Standard', p.Possible_discount-(p.Possible_discount/2), \n    'Deluxe',p.Possible_discount-(p.Possible_discount/4),\n    'Gold',p.Possible_discount-(p.Possible_discount/5),\n    p.Possible_discount) Final_discount\n    ,DECODE(o.Urgency, 'LOW', 0, 'MEDIUM', 15, 30) Urgency_fee\n    ,DECODE(w.Shipping, 'LOCAL', 0, 20) Global_shipping_fee\nfrom Online_orders o join Warehouses w\non o.Warehouse_id = w.Warehouse_id\njoin Games p \non o.Prod_id = p.Prod_id;\n\n3. -- View that calculates the total shipping cost.\ncreate or replace view Shipping_v2 as\nselect b.*, c.cust_id\n    ,DECODE(c.Prime, 'YES', TO_CHAR(b.Global_shipping_fee*0.6, '$99'),\n        TO_CHAR(b.Global_shipping_fee + b.Urgency_fee, '$99')) Total_shipping_cost\nfrom Online_orders o join Orders_v1 b\non b.Ord_id = o.Ord_id\njoin Customers c\non o.Cust_id = c.Cust_id\norder by 1;\n\n4. --View that calculates the total cost of an order.   \ncreate or replace view Total_online_v3 as\nselect c.*\n\t,TO_CHAR(p.Retail_price-(p.Retail_price*c.Final_discount)+TO_NUMBER(SUBSTR(c.Total_shipping_cost,\n        INSTR(c.Total_shipping_cost,'$')+1)), '$9999.99') Total_online\nfrom Shipping_v2 c join Games p\non c.Prod_id = p.Prod_id;\n\n5. --View for calculating the class discount\ncreate or replace view Class_v4 as\nselect c.*, DECODE(Cust_class, 'LOW', 0, 'MED', 0.10, 'HIGH', 0.25, 0.4) Class_discount\nfrom Customers c;\n\n6. --View for calculating the total cost of local sales.\ncreate or replace view Total_local_v5 as\nselect p.*, v.*\n    ,TO_CHAR(p.Retail_price - (p.Retail_price * v.Class_discount), '$9999.99') Total_local\nfrom Class_v4 v join Local_sales l\non l.Cust_id = v.Cust_id\njoin Games p\non l.Prod_id = p.Prod_id;\n\n7.--We create the salary for our employees as well as the total sales by that employee and their revenue. \n    --Note that the numbers are not very realistic but thats the closest to a realistic number i could get when i assume the entire brand has only 400 sales yearly.\n    --Normally we would multiply the base salary by 12 and consider the yearly revenue ans total salary. But since the sales are so low, multiplying the salary by 12\n    --would cause the total employee salary to exceed their revenue. After asking around i concluded that a sensible number for the local sales yearly woud be around \n    --30.000 for 100 employees. That would make for a really large script file.\ncreate or replace view Salary_v6 as\nselect TO_CHAR((SUM(TO_NUMBER(SUBSTR(V.Total_local,INSTR(V.Total_local,'$')+1)) * e.Commission) + e.Base_sal), '$999999.99') Empl_sal \n    , TO_CHAR(SUM(TO_NUMBER(SUBSTR(V.Total_local,INSTR(V.Total_local,'$')+1))), '$9999999.99') Empl_revenue, COUNT(l.Sale_id) Empl_sale_count, e.Empl_id, e.Branch_id\nfrom Total_local_v5 v join Local_sales l\non v.Prod_id = l.Prod_id\njoin Employees e \non l.Empl_id = e.Empl_id\ngroup by e.Empl_id, e.Base_sal, e.Branch_id;\n\n8. --Views to calculate total cost and total revenue per branch. We order based on the balance of every shop. Since we have very low sale count we again compromise by\n    --using the monthly values od manager salary and util cost as yearly values. We assume that every non-game product sold costs on average $150.\ncreate or replace view Branch_data_v7 as\nselect TO_CHAR(SUM(TO_NUMBER(SUBSTR(v.Empl_sal,INSTR(v.Empl_sal,'$')+1))) + b.Manager_salary + b.Util_cost, '$999999.99') Branch_cost\n    ,TO_CHAR(SUM(TO_NUMBER(SUBSTR(v.Empl_revenue,INSTR(v.Empl_revenue,'$')+1))) + b.sales * 150, '$999999.99') Branch_revenue, b.Branch_id  \nfrom Branches b join Salary_v6 v\non b.Branch_id = v.Branch_id\ngroup by b.Branch_id, b.Manager_salary, b.Util_cost, b.sales;\n\ncreate or replace view Branch_final_v8 as\nselect b.*, TO_CHAR((TO_NUMBER(SUBSTR(branch_revenue,INSTR(branch_revenue,'$')+1)) - TO_NUMBER(SUBSTR(branch_cost,INSTR(branch_cost,'$')+1))), '$999999.99') Balance\nfrom Branch_data_v7 b\nOrder by Balance;\n\n9. --Bookeeping info on the worst performing branch.\nselect 'The most problematic branch is ' || v.Branch_id || '. It nets a total revenue of ' || \n    TO_CHAR(SUM(TO_NUMBER(SUBSTR(v.branch_revenue,INSTR(v.branch_revenue,'$')+1))), '$999,999.99') ||\n    ' and looses ' || TO_CHAR(SUM(TO_NUMBER(SUBSTR(v.branch_cost,INSTR(v.branch_cost,'$')+1))), '$999,999.99') || ', putting it at a total yearly balance of ' ||\n    v.Balance || '. Manager ' || b.Manager_id || ', should be repremanded.' Bookkeeping\nfrom Branch_final_v8 v join Branches b \non v.Branch_id = b.Branch_id\nwhere rownum = 1\ngroup by v.Branch_id, v.Balance, b.Manager_id;\n\n10. --A tabulation showing the clean revenue from local sales based on customer class. We only care about local sales here since they are the ones affected by cust_class\nselect TO_CHAR(SUM(DECODE(c.Cust_class, 'LOW', TO_NUMBER(SUBSTR(V.Total_local,INSTR(V.Total_local,'$')+1)), 0)), '$999,999.99') LOW\n    ,TO_CHAR(SUM(DECODE(c.Cust_class, 'MED', TO_NUMBER(SUBSTR(V.Total_local,INSTR(V.Total_local,'$')+1)), 0)), '$999,999.99') MED\n    ,TO_CHAR(SUM(DECODE(c.Cust_class, 'HIGH', TO_NUMBER(SUBSTR(V.Total_local,INSTR(V.Total_local,'$')+1)), 0)), '$999,999.99') HIGH\n    ,TO_CHAR(SUM(DECODE(c.Cust_class, 'VIP', TO_NUMBER(SUBSTR(V.Total_local,INSTR(V.Total_local,'$')+1)), 0)), '$999,999.99') VIP\nfrom Customers c join Local_sales l\non c.Cust_id = l.Cust_id\njoin Total_local_v5 v \non v.Prod_id = l.Prod_id;\n\n11. --A constest based on the card credit of the customers.\ncreate or replace view Credit_v9 as\nselect credit, Card_id\nfrom (\n    select credit, Card_id, Card_status\n    from Cards\n    where Card_status != 'INACTIVE'\n    order by 1 desc\n)\nwhere rownum = 1;\n\nselect DECODE(c.Cust_gender, 'Male', 'Mr.', 'Female', 'Ms.', 'Mx.') || ' ' || c.Cust_name || 'has collected ' || b.Credit || \n    ' credits this year and is thus the winner of our reward, a volcano lair, that comes fully equiped with a rotating chair and a white cat to pet menancingly, \n    courtesy of our sponcor, evil.inc. The winner will be notified of their reward by a mail sent to their adress at ' || c.Cust_address || '.' Result\nfrom Customers c join Credit_v9 b\non c.Cust_card_code = b.Card_id;"}
{"doc_id": "01ab09c82cbe179b25c5d5fc88551731", "text": "\n/**\n * Creates a new contact entry\n *\n * @dialect postgresql\n * @name create_contact\n * @param contact_name: str\n * @retmode scalar\n * @retval contact_id: number\n */\n{\n    insert into ung.ac_contacts (contact_name)\n    values (%(contact_name)s)\n    returning contact_id\n    ;\n}\n\n/**\n * Retrieves a list of contacts matching the given contact_id's\n *\n * @dialect postgresql\n * @name retrieve_contacts_by_ids\n * @param contact_ids: list - list of contact ids\n * @retmode records\n * @retval contact_id: number\n * @retval contact_name: string\n */\n{\n    select *\n    from ung.ac_contacts\n    where contact_id in %(contact_ids)s\n    ;\n}\n\n/**\n * Retrieves a list of contacts matching on the contact's name expression\n *\n * @dialect postgresql\n * @name retrieve_contacts_by_name\n * @param contact_name: string\n * @param page_pos: tuple\n * @param page_size: number\n * @retmode records\n * @retval contact_id: number\n * @retval contact_name: string\n */\n{\n    select *\n    from ung.ac_contacts\n    where contact_name like %(contact_name)s\n        and row (contact_name, contact_id) > %(page_pos)s\n        and contact_id > 0\n    order by contact_name, contact_id\n    fetch first %(page_size)s rows only;\n    ;\n}\n\n/**\n * Updates contact entry\n *\n * @dialect postgresql\n * @name update_contact\n * @param contact_id: integer\n * @param contact_name: string\n * @retmode none\n */\n{\n    update ung.ac_contacts\n    set contact_name=(%(contact_name)s)\n    where contact_id = %(contact_id)s\n    ;\n}\n\n/**\n * Deletes contact entries\n *\n * @dialect postgresql\n * @name delete_contacts_by_ids\n * @param contact_ids: list - list of contact ids\n * @retmode none\n */\n{\n    delete from ung.ac_contacts\n    where contact_id in %(contact_ids)s\n    ;\n}\n\n/**\n * Creates a new contact_group\n *\n * @dialect postgresql\n * @name create_contact_group\n * @param group_name: str\n * @retmode scalar\n * @retval group_name: string\n */\n{\n    insert into ung.ac_contact_groups (group_name)\n    values (%(group_name)s)\n    returning group_name\n    ;\n}\n\n/**\n * Updates contact group\n *\n * @dialect postgresql\n * @name update_contact_group\n * @param group_name: string\n * @param new_group_name: string\n * @retmode none\n */\n{\n    update ung.ac_contact_groups\n    set group_name=(%(new_group_name)s)\n    where group_name=%(group_name)s\n    ;\n}\n\n/**\n * Retrieves a list of all contact groups\n *\n * @dialect postgresql\n * @name retrieve_all_contact_groups\n * @retmode records\n * @retval group_name: string\n */\n{\n    select * from ung.ac_contact_groups\n    order by group_name asc\n    ;\n}\n\n/**\n * Deletes contact group entries\n *\n * @dialect postgresql\n * @name delete_contact_groups_by_group_names\n * @param group_names: list\n * @retmode none\n */\n{\n    delete from ung.ac_contact_groups\n    where group_name in %(group_names)s\n    ;\n}\n\n/**\n * Associates a contact with a contact group\n *\n * @dialect postgresql\n * @name add_contact_group_member\n * @param group_name: str\n * @param contact_id: number\n * @retmode none\n */\n{\n    insert into ung.ac_contact_groups_x_contacts (group_name, contact_id)\n    values (%(group_name)s, %(contact_id)s)\n    ;\n}\n\n/**\n * Retrieves the list of contacts associated with the given group\n *\n * @dialect postgresql\n * @name retrieve_contact_group_members\n * @param group_name: str\n * @retmode records\n * @retval contact_id: number\n * @retval contact_name: string\n */\n{\n    select contact_id, contact_name\n    from ung.ac_contact_groups_x_contacts ctcg_ctc\n    join ung.ac_contacts using(contact_id)\n    where group_name = %(group_name)s\n    ;\n}\n\n/**\n * Retrieves the list of contact groups the given contact is associated with\n *\n * @dialect postgresql\n * @name retrieve_contact_groups_by_contact_id\n * @param contact_id: number\n * @retmode records\n * @retval group_name: number\n */\n{\n    select group_name from ung.ac_contact_groups_x_contacts\n    where contact_id = %(contact_id)s\n    ;\n}\n\n/**\n * Removes contacts from the contact group\n *\n * @dialect postgresql\n * @name remove_contact_group_members\n * @param group_name: string\n * @param contact_ids: list\n * @retmode none\n */\n{\n    delete from ung.ac_contact_groups_x_contacts\n    where group_name = %(group_name)s and contact_id in %(contact_ids)s\n    ;\n}\n\n/**\n * Removes the contact from the contact groups\n *\n * @dialect postgresql\n * @name remove_contact_from_contact_groups\n * @param contact_id: number\n * @param group_names: list\n * @retmode none\n */\n{\n    delete from ung.ac_contact_groups_x_contacts\n    where contact_id = %(contact_id)s and group_name in %(group_names)s\n    ;\n}\n"}
{"doc_id": "01bdb3691c48b759bbc23efdff0ef100", "text": "CREATE DATABASE db;\n\n\\c db\n\nCREATE TABLE usuarios(\n    id INT GENERATED ALWAYS AS IDENTITY,\n    nome VARCHAR(255) NOT NULL,\n    email VARCHAR(255) NOT NULL,\n    password VARCHAR(255) NOT NULL,\n    empresa_id INT NOT NULL DEFAULT 0,\n    usuario_id INT,\n    PRIMARY KEY(id),\n    UNIQUE(email, empresa_id)\n);\n\nCREATE TABLE empresas(\n    id INT GENERATED ALWAYS AS IDENTITY,\n    slug VARCHAR(255) UNIQUE NOT NULL,\n    razao_social VARCHAR(255) NOT NULL,\n    email VARCHAR(255) NOT NULL,\n    cnpj VARCHAR(255) NOT NULL,\n    usuario_id INT NOT NULL,\n    PRIMARY KEY(id)\n);\n\nCREATE TABLE sedes(\n    id INT GENERATED ALWAYS AS IDENTITY,\n    cnpj VARCHAR(255) NOT NULL,\n    endereco VARCHAR(255) NOT NULL,\n    empresa_id INT NOT NULL,\n    usuario_id INT NOT NULL,\n    PRIMARY KEY(id)\n);\n\nCREATE TABLE tokens(\n    token VARCHAR(255) UNIQUE NOT NULL,\n    usuario_id INT NOT NULL,\n    PRIMARY KEY(usuario_id) -- Am I free to do this?\n);\n\n-- Creating dummy usuario and empresa\nINSERT INTO usuarios(id, nome, email, password)\n    OVERRIDING SYSTEM VALUE\n    VALUES(0, 'dummy', 'dummy', 'dummy');\n\nINSERT INTO empresas(id, slug, razao_social, email, cnpj, usuario_id)\n    OVERRIDING SYSTEM VALUE\n    VALUES(0, 'dummy', 'dummy', 'dummy', 'cnpj', 0);\n\nALTER TABLE usuarios\n    ADD CONSTRAINT fk_usuario_empresa\n    FOREIGN KEY (empresa_id)\n    REFERENCES empresas(id)\n    ON DELETE CASCADE;\nALTER TABLE usuarios\n    ADD CONSTRAINT fk_usuario_usuario\n    FOREIGN KEY (usuario_id)\n    REFERENCES usuarios(id)\n    ON DELETE CASCADE;\n\nALTER TABLE empresas\n    ADD CONSTRAINT fk_empresa_usuario\n    FOREIGN KEY (usuario_id)\n    REFERENCES usuarios(id)\n    ON DELETE CASCADE;\n\nALTER TABLE sedes\n    ADD CONSTRAINT fk_sede_empresa\n    FOREIGN KEY (empresa_id)\n    REFERENCES empresas(id)\n    ON DELETE CASCADE;\nALTER TABLE sedes\n    ADD CONSTRAINT fk_sede_usuario\n    FOREIGN KEY (usuario_id)\n    REFERENCES usuarios(id)\n    ON DELETE CASCADE;\n\nALTER TABLE tokens\n    ADD CONSTRAINT fk_token_usuario\n    FOREIGN KEY (usuario_id)\n    REFERENCES usuarios(id)\n    ON DELETE CASCADE;"}
{"doc_id": "02038640f6effa778cd54348fb7af21b", "text": "USE [SEDC.Homework]\r\n--1/6\r\nSELECT * FROM Student \r\nWHERE FirstName = 'Antonio'\r\n\r\nSELECT * FROM Student \r\nWHERE DateOfBirth > '1999.01.01'\r\n\r\nSELECT * FROM Student \r\nWHERE Gender = 'M'\r\n\r\nSELECT * FROM Student \r\nWHERE LastName like 'T%'\r\n\r\nSELECT * FROM Student \r\nWHERE EnrolledDate >='1998.01.01' and EnrolledDate <= '1998.01.31'\r\n\r\nSELECT * FROM Student \r\nWHERE EnrolledDate >='1998.01.01' and EnrolledDate <= '1998.01.31' and LastName like 'J%'\r\n\r\n--2/6\r\nSELECT * FROM Student \r\nWHERE FirstName = 'Antonio'\r\nORDER BY LastName\r\n\r\nSELECT * FROM Student \r\nORDER BY FirstName\r\n\r\nSELECT * FROM Student\r\nWHERE Gender='M'\r\nORDER BY EnrolledDate DESC\r\n\r\n--3/6\r\n\r\nSELECT FirstName FROM Teacher \r\nUNION ALL\r\nSELECT FirstName FROM Student\r\n\r\nSELECT LastName FROM Teacher \r\nUNION\r\nSELECT LastName FROM Student\r\n\r\nSELECT FirstName FROM Teacher \r\nINTERSECT\r\nSELECT FirstName FROM Student\r\n\r\n--4/6\r\n\r\nALTER TABLE GradeDetails\r\nADD CONSTRAINT DF_GRADEDETAILS_ACHIEVEMENTMAXPOINTS\r\nDEFAULT 100 FOR [AchievementMaxPoints]\r\n\r\n\r\nALTER TABLE GradeDetails\r\nADD CONSTRAINT CHK_GRADEDETAILS_ACHIEVMENTPOINTS\r\nCHECK (AchievementPoints <= AchievementMaxPoints)\r\n\r\n\r\nALTER TABLE AchievementType WITH CHECK\r\nADD CONSTRAINT UC_ACHIEVEMENTTYPE_NAME\r\nUNIQUE ([Name])\r\n\r\n--5/6\r\nALTER TABLE Grade\r\nADD CONSTRAINT FK_CourseID\r\nFOREIGN KEY (CourseID) REFERENCES Course(ID)\r\n\r\nALTER TABLE Grade\r\nADD CONSTRAINT FK_StudentID\r\nFOREIGN KEY (StudentID) REFERENCES Student(ID)\r\n\r\nALTER TABLE Grade\r\nADD CONSTRAINT FK_TeacherID\r\nFOREIGN KEY (TeacherID) REFERENCES Teacher(ID)\r\n\r\nALTER TABLE GradeDetails\r\nADD CONSTRAINT FK_GradeID\r\nFOREIGN KEY (GradeID) REFERENCES Grade(ID)\r\n\r\nALTER TABLE GradeDetails\r\nADD CONSTRAINT FK_AchievementID\r\nFOREIGN KEY (AchievementTypeID) REFERENCES AchievementType(ID)\r\n\r\n--6/6\r\nSELECT c.[Name], [at].[Name]\r\nFROM Course AS c\r\nCROSS JOIN AchievementType AS [at]\r\n\r\nSELECT t.ID, g.TeacherID, t.FirstName, t.LastName\r\nFROM Teacher AS t\r\nINNER JOIN Grade AS g ON t.id=g.TeacherID\r\n\r\nSELECT t.ID, g.TeacherID, t.FirstName, t.LastName\r\nFROM Teacher AS t\r\nLEFT OUTER JOIN Grade AS g ON t.id=g.TeacherID\r\nWHERE G.Grade IS NULL\r\n\r\nSELECT s.FirstName, s.LastName, s.ID, g.StudentID\r\nFROM Grade AS g\r\nRIGHT OUTER JOIN Student as s on s.ID=g.StudentID\r\nWHERE g.Grade IS NULL"}
{"doc_id": "0212b0fd8cbe77cda3e43892d06bfbea", "text": "WITH topic_votes AS (\n  SELECT t.id, t.title, t.is_canonical, t.refers_to_id, SUM(v.vote) as votes\n    FROM topics t\n    JOIN voting v on v.topic_id = t.id\n    GROUP BY t.id, t.title, t.is_canonical, t.refers_to_id\n   )\nSELECT cv.id, cv.title, (coalesce(sum(ncv.votes), 0) + cv.votes) AS vote_total\n  FROM topic_votes cv\n  LEFT OUTER JOIN topic_votes ncv on cv.id = ncv.refers_to_id\n  WHERE cv.is_canonical = TRUE\n  GROUP BY cv.id, cv.title, cv.votes\n  ORDER BY vote_total DESC, title\n;\n"}
{"doc_id": "0215aa06d44f67133702df8ee3b662ab", "text": "select \nsymbol, \navg((open-avg_price)*(open-avg_price) + (close-avg_price)*(close-avg_price))/2 as varience, \nsqrt(avg((open-avg_price)*(open-avg_price) + (close-avg_price)*(close-avg_price))/2 ) as stdev\nfrom tbl_price\nleft join (\n\tselect symbol as symbol1, avg(open+close)/2 as avg_price\n\tfrom tbl_price\n\tgroup by symbol1\n) price_exp\non tbl_price.symbol = price_exp.symbol1\ngroup by symbol\norder by stdev desc \n;\n\nselect symbol, \navg(((open*open) +(close*close))/2) - avg((open+close)/2)*avg((open+close)/2) as varience,\nsqrt(avg(((open*open) +(close*close))/2) - avg((open+close)/2)*avg((open+close)/2)) as stdev\nfrom tbl_price \ngroup by symbol\norder by stdev desc \n;\n\nselect symbol, \navg((open*open)) - avg(open)*avg(open) as varience,\nsqrt(avg((open*open)) - avg(open)*avg(open)) as stdev\nfrom tbl_price \ngroup by symbol\norder by stdev desc \n;"}
{"doc_id": "0227102b118f0c9a4f9aa0e88622ff40", "text": "\ufeffCREATE PROCEDURE dbo.uspRetrieveSpeakersForEvent\n(\n\t@EventId INT\n)\nAS\nBEGIN\n\tSELECT DISTINCT Speaker.AspNetUserId,\n\t       Contact.FirstName,\n\t\t\t\t Contact.LastName,\n\t\t\t\t Speaker.Biography\n\t\tFROM Speaker\n\t INNER JOIN Contact ON Contact.Id = Speaker.ContactId\n\t INNER JOIN SessionSpeaker ON SessionSpeaker.SpeakerId = Speaker.AspNetUserId\n\t INNER JOIN [Session] ON [Session].Id = SessionSpeaker.SessionId\n\t WHERE [Session].EventId = @EventId\n\t   AND [Session].SessionStatusId = 6\n\t ORDER BY Contact.LastName, Contact.FirstName\nEND"}
{"doc_id": "02319d59fcee0df4ce7693f86c1a1e2b", "text": "set\r\n @fromDate = '2020-04-01',\r\n @toDate = '2021-03-31';\r\nwith recursive tblDateList as\r\n(\r\n select date(@fromDate) value\r\n union all\r\n select date_add(value, interval 1 day) from tblDateList where value < date(@toDate)\r\n),\r\ntblDailySales as \r\n(\r\n select v.date,\r\n sum(a.amount) amount\r\n from trn_accounting a\r\n join trn_voucher v on v.guid = a.guid\r\n join mst_ledger l on l.name = a.ledger\r\n join mst_group g on g.name = l.parent\r\n where g.primary_group = 'Purchase Accounts' and v.date >= @fromDate and v.date <= @toDate\r\n group by v.date\r\n)\r\nselect d.value date, ifnull(-c.amount, 0) amount\r\nfrom tblDateList d\r\nleft join tblDailySales c on d.value = c.date\r\n;"}
{"doc_id": "0238ec15c5efb38fd1fb645b06053aa8", "text": "SELECT\n  databse_name = DB_NAME()\n, file_name\n, page_identifier = CONCAT(file_id,':',pt.from_page_id)\n, check_file_total_size = file_total_size\n, check_file_total_used_space = file_total_used_space\n, check_file_total_unused_pages = file_total_unused_pages\n, agg_file_total_reserved_pages = file_total_reserved_pages\n, agg_file_total_consecutive_unused_pages = SUM(pt.consecutive_unused_pages) OVER (PARTITION BY file_id)\n, pt.*\n, pages_in_range = pt.to_page_id - pt.from_page_id + 1\nFROM\n(\nSELECT\n  databse_name = DB_NAME()\n, file_id\n, file_name\n, file_total_size\n, file_total_used_space\n, file_total_unused_pages = file_total_size - file_total_reserved_pages + 1\n, file_total_reserved_pages\n, prev_used_page\n, from_used_page_id = allocated_page_page_id\n, to_page_id = ISNULL(NULLIF(next_used_page,file_total_size-1) - 1, next_used_page)\n, consecutive_unused_pages = ISNULL(NULLIF(next_used_page,file_total_size-1) - 1, next_used_page) - allocated_page_page_id\n, next_used_page_id = LEAD(allocated_page_page_id,1,file_total_size-1) OVER(PARTITION BY file_id ORDER BY allocated_page_page_id ASC)\nFROM\n(\nSELECT\n  f.database_id, f.file_id, f.file_name, f.file_total_used_space, f.file_total_size\n, file_total_reserved_pages = COUNT(*) OVER() + 9\n, p.allocated_page_page_id\n, prev_used_page = LAG(p.allocated_page_page_id,1,0) OVER (PARTITION BY f.file_id ORDER BY p.allocated_page_page_id ASC)\n, next_used_page = LEAD(p.allocated_page_page_id,1,f.file_total_size - 1) OVER (PARTITION BY f.file_id ORDER BY p.allocated_page_page_id ASC)\nFROM (\n\tSELECT database_id, file_id, file_name = [name], size AS file_total_size\n\t, file_total_used_space = FILEPROPERTY([name], 'SpaceUsed')\n\tFROM sys.master_files AS f\n\tWHERE database_id = DB_ID() AND type = 0\n) AS f\nINNER JOIN sys.dm_db_database_page_allocations(DB_ID(),default,default,default,'DETAILED') AS p\nON f.file_id = p.allocated_page_file_id\n) AS sub1\nWHERE sub1.next_used_page <> sub1.allocated_page_page_id + 1\n) AS sub2\nCROSS APPLY\n(\n\tSELECT usage = 'EMPTY'\n\t\t, from_page_id = from_used_page_id + 1\n\t\t, to_page_id = sub2.to_page_id\n\t\t, consecutive_unused_pages = sub2.consecutive_unused_pages\n\tUNION ALL\n\tSELECT\n\t\tusage = 'USED'\n\t\t, 0\n\t\t, sub2.from_used_page_id\n\t\t, 0\n\tWHERE prev_used_page = 0\n\tUNION ALL\n\tSELECT\n\t\tusage = 'USED'\n\t\t, sub2.to_page_id + 1\n\t\t, sub2.next_used_page_id\n\t\t, 0\n\tWHERE next_used_page_id < file_total_size-1\n) AS pt"}
{"doc_id": "023f2c30b099364c00b69814d8fcc9f7", "text": "SELECT\n       l.id AS lesson_id,\n       l.uid AS lesson_uid,\n       l.date AS lesson_date,\n       gr.id AS group_id,\n       gr.chapter_id AS chapter_id,\n       CONCAT(gr.group_name, ' - ', c.chapter_name) AS group_chapter_name,\n       round(avg(g.mark), 2)::FLOAT AS average_mark,\n       count(*) AS grade_count\nfrom lessons AS l\n         JOIN groups gr ON l.group_id = gr.id\n         JOIN grades g ON g.lesson_id = l.id\n         JOIN chapters c ON gr.chapter_id = c.id\nWHERE g.deleted_at IS NULL\nGROUP BY l.id, gr.id, c.id\nORDER BY lesson_date;\n"}
{"doc_id": "0269d96014d76d894986f1d9a982e6be", "text": "DROP DATABASE IF EXISTS emsDataBase;\n\nCREATE DATABASE emsDataBase;\n\nUSE emsDataBase;\n\nCREATE TABLE department (\nid INT NOT NULL AUTO_INCREMENT,\nname VARCHAR(30) NOT NULL,\nPRIMARY KEY (id)\n);\n\nCREATE TABLE role (\nid INT NOT NULL AUTO_INCREMENT,\ntitle VARCHAR(30) NOT NULL,\nsalary DECIMAL NOT NULL,\ndepartment_id INT NOT NULL,\n\nPRIMARY KEY (id),\nFOREIGN KEY (department_id) REFERENCES department(id)\n\n);\n\nCREATE TABLE employee (\nid INT NOT NULL AUTO_INCREMENT,\nfirst_name VARCHAR(30) NOT NULL,\nlast_name VARCHAR(30) NOT NULL,\nrole_id INT NOT NULL,\nmanager_id INT NOT NULL,\n\nPRIMARY KEY (id),\n\nFOREIGN KEY (role_id) REFERENCES role(id),\nFOREIGN KEY (manager_id) REFERENCES role(id)\n);\n\n\nINSERT INTO department (name) VALUES (\"HR\"),(\"SALES\"),(\"IT\"),(\"Management\");\nINSERT INTO role (title, salary, department_id) VALUES (\"Salesman\", 100000, 2),(\"HR Manager\", 90000, 4),(\"HR assistant\", 75000, 1);\nINSERT INTO role ( title, salary , department_id) VALUES(\"HR Coordinator\", 40000, 1);\nSELECT * FROM role LEFT JOIN department ON role.department_id = department.id;\n\n\n\n\nselect * from role"}
{"doc_id": "028972fd242a61cd9e78e02414867e65", "text": "WITH t1 AS (\n    SELECT\n      pt.id,\n      date_trunc('day',\n        a. \"publishedAt\")::date AS day,\n      INITCAP(pt. \"label\") AS label\n    FROM\n      \"ArticlePriority\" p\n      JOIN \"ArticlePriorityTerm\" pt ON pt. \"articlePriorityId\" = p.id\n      JOIN \"Article\" a ON a.id = p. \"articleId\"\n  UNION ALL\n  SELECT\n    pt.id,\n    date_trunc('day',\n      t. \"publishedAt\") AS day,\n    INITCAP(pt. \"label\") AS label\n  FROM\n    \"TweetPriority\" p\n    JOIN \"TweetPriorityTerm\" pt ON pt. \"tweetPriorityId\" = p.id\n    JOIN \"Tweet\" t ON t.id = p. \"tweetId\"\n  ),\n  l AS (\n    SELECT DISTINCT\n      label\n    FROM\n      t1\n  ),\n  interpolate_days AS (\n    SELECT\n      l.label,\n      date_trunc('day',\n        dd)::date AS day,\n      0 AS value\n    FROM\n      generate_series((CURRENT_TIMESTAMP - '30 days'::interval),\n      CURRENT_TIMESTAMP,\n      '1 day'::interval) dd\n      CROSS JOIN l\n    ORDER BY\n      1,\n      2\n  ),\n  pivot AS (\n    SELECT\n      s.label,\n      json_build_object('day',\n        s.day,\n        'value',\n        s.total) AS totals\n    FROM (\n      SELECT\n        i.label,\n        i.day,\n        count(i.label) - 1 AS total\n      FROM\n        interpolate_days i\n      LEFT JOIN t1 ON i.day = t1.day\n        AND i.label = t1.label\n    WHERE\n      i.day >= (CURRENT_TIMESTAMP - '30 days'::interval)\n    GROUP BY\n      1,\n      2\n    ORDER BY\n      1,\n      2) s\n  ORDER BY\n    s.label\n  )\n  SELECT\n    label,\n    json_agg(totals\n    ORDER BY\n      1) AS calendar\n  FROM\n    pivot\n  GROUP BY\n    1\n  ORDER BY\n    1\n"}
{"doc_id": "0289872e176ea22e170e82bd46841b0b", "text": "CREATE OR ALTER PROCEDURE mdsGetScannerSymbolsOrderByOptionVolume \n\t  @CurrentTimestamp AS DATETIME\n\t, @MaxTimeOffset AS TIME\nAS\nBEGIN\n\nSET NOCOUNT ON;\n\nSELECT sr.Symbol\n\t,l1.CallVolume + l1.PutVolume AS OptionVolume\nFROM (\n\tSELECT *\n\t\t,ROW_NUMBER() OVER (\n\t\t\tPARTITION BY ParameterId ORDER BY Timestamp DESC\n\t\t\t) AS Rn\n\tFROM scanners\n\tWHERE Timestamp <= @CurrentTimestamp\n\t\tAND CAST(Timestamp AS DATE) = Cast(@CurrentTimestamp AS DATE)\n\t) s\nINNER JOIN ScannerRows sr ON sr.ScannerId = s.Id\nOUTER APPLY (\n\tSELECT TOP 1 *\n\tFROM Level1MarketDatas\n\tWHERE Level1MarketDatas.Symbol = sr.Symbol\n\t\tAND Level1MarketDatas.Timestamp <= s.Timestamp\n\t\tAND Timestamp >= @CurrentTimestamp - CAST(@MaxTimeOffset AS DATETIME)\n\tORDER BY Level1MarketDatas.Timestamp DESC\n\t) AS l1\nWHERE Rn = 1\nORDER BY OptionVolume DESC\n\nEND"}
{"doc_id": "028c29e486b27a237c39145daab478d5", "text": "/*\r\n    Created by Olleus for 8 Ages of Pace (23 Oct 2016) for v1.0.0.26\r\n\toriginal idea by alpaca and Gedemon\r\n\texpanded to include civics and scale great people up at the same rate\r\n\r\n\tRedone for v1.1 using a temporary table. Makes it easier to change all the values at once\r\n*/\r\n \r\n-- Temporary table, drop at the end\r\n-- Increase is a percentage\r\nCREATE TABLE EraIncreases\r\n\t(\r\n\tEraType TEXT NOT NULL,\r\n\tIncrease INT\r\n\t);\r\n\r\n-- This master table controls the increase of techs, civics and GPs simultaneously\r\nINSERT INTO EraIncreases\r\n\tVALUES\t(\"ERA_ANCIENT\",0),\r\n\t\t\t(\"ERA_CLASSICAL\", 25),\r\n\t\t\t(\"ERA_MEDIEVAL\", 50),\r\n\t\t\t(\"ERA_RENAISSANCE\", 80),\r\n\t\t\t(\"ERA_INDUSTRIAL\", 120),\r\n\t\t\t(\"ERA_MODERN\", 170),\r\n\t\t\t(\"ERA_ATOMIC\", 230),\r\n\t\t\t(\"ERA_INFORMATION\", 300);\r\n\r\n\r\n-- Technology cost\r\nUPDATE Technologies\r\n\tSET Cost = ROUND(Cost + Cost*(SELECT EraIncreases.Increase\r\n\t\tFROM EraIncreases \r\n\t\tWHERE EraIncreases.EraType = Technologies.EraType)/100);\r\n\r\n-- Civics cost\r\nUPDATE Civics\r\n\tSET Cost = ROUND(Cost + Cost*(SELECT EraIncreases.Increase\r\n\t\tFROM EraIncreases \r\n\t\tWHERE EraIncreases.EraType = Civics.EraType)/100);\r\n\r\n-- Great People Cost\r\n-- Based on feedback, increase is half of the values above\r\nUPDATE Eras\r\n\tSET GreatPersonBaseCost = ROUND(GreatPersonBaseCost + GreatPersonBaseCost*(SELECT EraIncreases.Increase\r\n\t\tFROM EraIncreases \r\n\t\tWHERE EraIncreases.EraType = Eras.EraType)/200);\r\n\r\n-- Increase the one off science/culture given by great people\r\n-- This is complicated because the effects of GP is not defined uniquely per great person\r\n-- and the table structure is very strange indeed.\r\n-- Therefore have to look up each effect and see whether it needs to be boosted,\r\n-- and then check which great person first calls it to know how much to boost it by.\r\n-- (NB: this means that if several great people have the same ability, it will be scaled up according\r\n-- to the first era it is used. Not that this happen anyway in vanilla)\r\n\r\n-- Create a temporary table of which Modifiers to be scaled are called in which era\r\nWITH ModIncreases AS\r\n(\r\n\tSELECT Mods1.ModifierId, EraIncreases.Increase FROM ModifierArguments AS Mods1, EraIncreases\r\n\tINNER JOIN ModifierArguments AS Mods2,\r\n\t\t\t   GreatPersonIndividualActionModifiers AS GPMods,\r\n\t\t\t   GreatPersonIndividuals AS GPs\r\n\tON Mods1.ModifierId = Mods2.ModifierId\r\n\tAND Mods1.Type = \"ScaleByGameSpeed\"\r\n\tAND Mods2.Name = \"YieldType\"\r\n\tAND (Mods2.Value = \"YIELD_SCIENCE\" OR Mods2.Value = \"YIELD_CULTURE\")\r\n\tAND GPMods.ModifierID = Mods1.ModifierID\r\n\tAND GPMods.GreatPersonIndividualType = GPs.GreatPersonIndividualType\r\n\tAND EraIncreases.EraType = GPs.EraType\r\n)\r\n\r\n-- Update the modifiers if they are in the table above by the lowest amount listed above\r\nUPDATE ModifierArguments\r\n\tSET Value = ROUND(Value + Value*(SELECT MIN(ModIncreases.Increase) \r\n\t\t\t\t\tFROM ModIncreases\r\n\t\t\t\t\tWHERE ModIncreases.ModifierId = ModifierArguments.ModifierID)/100)\r\n\tWHERE EXISTS ( SELECT *\r\n\t\t\t\tFROM ModIncreases\r\n\t\t\t\tWHERE ModIncreases.ModifierId = ModifierArguments.ModifierID)\r\n\tAND ModifierArguments.Name = \"Amount\";\r\n\r\n-- Drop the temporary table created at the start\r\nDROP TABLE EraIncreases;"}
{"doc_id": "0297e75a5ee188954f3e61aaa02e1017", "text": "-- Same as above but for a given stock\nSELECT p.Symbol,\n\t\t\t p.PostHour,\n\t\t\t ROUND(MIN(c.AskPrice),2) MinAskPrice,\n\t\t\t ROUND(AVG(c.AskPrice),2) AvgAskPrice,\n\t\t\t ROUND(MAX(c.AskPrice),2) MaxAskPrice,\n\t\t\t ROUND(AVG(p.SentimentScore),3) AvgSentiment,\n\t\t\t ROUND(AVG(p.WeightedScore),2) WeightedScore,\n\t\t\t SUM(p.PostCount) PostCount,\n\t\t\t SUM(p.PositiveCount) Positives,\n\t\t\t SUM(p.NegativeCount) Negatives,\n\t\t\t SUM(p.NoiseCount) Noise\nFROM (\n\tSELECT r.Symbol,\n\t       FORMAT_TIMESTAMP(\"%F-%k\", r.PostedOn)\n\t\t\t\t PostHour, r.SentimentScore,\n\t\t\t\t -- Using Friend Count as a weight multiplier for significant sentiment, else 0\n\t\t\t   (1 + a.FriendCount / 1000) * CASE\n\t\t\t\t \t\t\t-- if strong then full credit for score\n\t\t\t\t \t\t\tWHEN ABS(r.SentimentScore) > 0.6 THEN r.SentimentScore\n\t\t\t\t\t\t\t-- if poor give them 50% credit for the sentiment score\n\t\t\t\t\t\t\tWHEN ABS(r.SentimentScore) >= 0.3 AND ABS(r.SentimentScore) <= 0.6  THEN r.SentimentScore * 0.5\n\t\t\t\t\t\t\t-- else it is noise to ignore\n\t\t\t\t\t\t\tELSE 0 END WeightedScore,\n\t\t\t\t 1 PostCount,\n\t\t\t\t -- for positic/negatives using 0.3 significant sentiment filter, else noise\n\t\t\t\t CASE WHEN r.SentimentScore >= 0.3 THEN 1 ELSE 0 END PositiveCount,\n\t\t\t\t CASE WHEN r.SentimentScore <= -0.3 THEN 1 ELSE 0 END NegativeCount,\n\t\t\t\t CASE WHEN r.SentimentScore > -0.3 AND r.SentimentScore < 0.3 THEN 1 ELSE 0 END NoiseCount\n\tFROM Posts r\n\tJOIN Authors a ON r.Username = a.Username\n\tWHERE r.Symbol = 'MSFT'\n) p\nLEFT JOIN (\n    SELECT Symbol, FORMAT_TIMESTAMP(\"%F-%k\", SampleOn) AskHour, AskPrice\n\t\tFROM Prices\n) c ON p.Symbol = c.Symbol AND p.PostHour = c.AskHour\nGROUP BY p.Symbol, p.PostHour\nORDER BY p.Symbol, p.PostHour DESC\n"}
{"doc_id": "02a2aa8da52b234601e0accbac30f161", "text": "CREATE VIEW stock_next_use\nAS\n\n/*\n\tThe default consume rule is:\n\tOpened first, then first due first, then first in first out\n\n\tThis orders the stock entries by that\n\t=> Highest \"priority\" per product = the stock entry to use next\n*/\n\nSELECT\n\t-1 AS id, -- Dummy\n\t(ROW_NUMBER() OVER(PARTITION BY product_id ORDER BY open DESC, best_before_date ASC, purchased_date ASC)) * -1 AS priority,\n\tproduct_id,\n\tstock_id,\n\tprice\nFROM stock;\n\nCREATE VIEW products_current_price\nAS\n\n/*\n\tCurrent price per product,\n\tbased on the stock entry to use next,\n\tor on the last price if the product is currently not in stock\n*/\n\nSELECT\n\t-1 AS id, -- Dummy,\n\tp.id AS product_id,\n\tIFNULL(snu.price, plp.price) AS price\nFROM products p\nLEFT JOIN (\n\tSELECT\n\t\tproduct_id,\n\t\tMAX(priority),\n\t\tprice -- Bare column, ref https://www.sqlite.org/lang_select.html#bare_columns_in_an_aggregate_query\n\tFROM stock_next_use\n\tGROUP BY product_id\n\t) snu\n\tON p.id = snu.product_id\nLEFT JOIN products_last_purchased plp\n\tON p.id = plp.product_id;\n\nDROP VIEW products_oldest_stock_unit_price;\n\nDROP VIEW recipes_pos_resolved;\nCREATE VIEW recipes_pos_resolved\nAS\n\n-- Multiplication by 1.0 to force conversion to float (REAL)\n\nSELECT\n\tr.id AS recipe_id,\n\trp.id AS recipe_pos_id,\n\trp.product_id AS product_id,\n\tCASE WHEN rnr.recipe_id = rnr.includes_recipe_id THEN rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) ELSE rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) * ((rnr.includes_servings*1.0) / (rnrr.base_servings*1.0)) END AS recipe_amount,\n\tIFNULL(sc.amount_aggregated, 0) AS stock_amount,\n\tCASE WHEN IFNULL(sc.amount_aggregated, 0) >= CASE WHEN rp.only_check_single_unit_in_stock = 1 THEN 0.00000001 ELSE CASE WHEN rnr.recipe_id = rnr.includes_recipe_id THEN rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) ELSE rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) * ((rnr.includes_servings*1.0) / (rnrr.base_servings*1.0)) END END THEN 1 ELSE 0 END AS need_fulfilled,\n\tCASE WHEN IFNULL(sc.amount_aggregated, 0) - CASE WHEN rp.only_check_single_unit_in_stock = 1 THEN 0.00000001 ELSE CASE WHEN rnr.recipe_id = rnr.includes_recipe_id THEN rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) ELSE rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) * ((rnr.includes_servings*1.0) / (rnrr.base_servings*1.0)) END END < 0 THEN ABS(IFNULL(sc.amount_aggregated, 0) - (CASE WHEN rnr.recipe_id = rnr.includes_recipe_id THEN rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) ELSE rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) * ((rnr.includes_servings*1.0) / (rnrr.base_servings*1.0)) END)) ELSE 0 END AS missing_amount,\n\tIFNULL(sl.amount, 0) * p.qu_factor_purchase_to_stock AS amount_on_shopping_list,\n\tCASE WHEN ROUND(IFNULL(sc.amount_aggregated, 0) + (CASE WHEN r.not_check_shoppinglist = 1 THEN 0 ELSE IFNULL(sl.amount, 0) END * p.qu_factor_purchase_to_stock), 2) >= ROUND(CASE WHEN rp.only_check_single_unit_in_stock = 1 THEN 0.00000001 ELSE CASE WHEN rnr.recipe_id = rnr.includes_recipe_id THEN rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) ELSE rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) * ((rnr.includes_servings*1.0) / (rnrr.base_servings*1.0)) END END, 2) THEN 1 ELSE 0 END AS need_fulfilled_with_shopping_list,\n\trp.qu_id,\n\t(r.desired_servings*1.0 / r.base_servings*1.0) * (rnr.includes_servings*1.0 / CASE WHEN rnr.recipe_id != rnr.includes_recipe_id THEN rnrr.base_servings*1.0 ELSE 1 END) * rp.amount * IFNULL(pcp.price, 0) * rp.price_factor * CASE WHEN rp.only_check_single_unit_in_stock = 1 THEN IFNULL(qucr.factor, 1) ELSE 1 END AS costs,\n\tCASE WHEN rnr.recipe_id = rnr.includes_recipe_id THEN 0 ELSE 1 END AS is_nested_recipe_pos,\n\trp.ingredient_group,\n\tpg.name as product_group,\n\trp.id, -- Just a dummy id column\n\tr.type as recipe_type,\n\trnr.includes_recipe_id as child_recipe_id,\n\trp.note,\n\trp.variable_amount AS recipe_variable_amount,\n\trp.only_check_single_unit_in_stock,\n\trp.amount / r.base_servings*1.0 * (rnr.includes_servings*1.0 / CASE WHEN rnr.recipe_id != rnr.includes_recipe_id THEN rnrr.base_servings*1.0 ELSE 1 END) * IFNULL(p.calories, 0) * CASE WHEN rp.only_check_single_unit_in_stock = 1 THEN IFNULL(qucr.factor, 1) ELSE 1 END AS calories,\n\tp.active AS product_active,\n\tCASE pvs.current_due_status\n\t\tWHEN 'ok' THEN 0\n\t\tWHEN 'due_soon' THEN 1\n\t\tWHEN 'overdue' THEN 10\n\t\tWHEN 'expired' THEN 20\n\tEND AS due_score\nFROM recipes r\nJOIN recipes_nestings_resolved rnr\n\tON r.id = rnr.recipe_id\nJOIN recipes rnrr\n\tON rnr.includes_recipe_id = rnrr.id\nJOIN recipes_pos rp\n\tON rnr.includes_recipe_id = rp.recipe_id\nJOIN products p\n\tON rp.product_id = p.id\nJOIN products_volatile_status pvs\n\tON rp.product_id = pvs.product_id\nLEFT JOIN product_groups pg\n\tON p.product_group_id = pg.id\nLEFT JOIN (\n\tSELECT product_id, SUM(amount) AS amount\n\tFROM shopping_list\n\tGROUP BY product_id) sl\n\tON rp.product_id = sl.product_id\nLEFT JOIN stock_current sc\n\tON rp.product_id = sc.product_id\nLEFT JOIN products_current_price pcp\n\tON rp.product_id = pcp.product_id\nLEFT JOIN quantity_unit_conversions_resolved qucr\n\tON rp.product_id = qucr.product_id\n\tAND rp.qu_id  = qucr.from_qu_id\n\tAND p.qu_id_stock = qucr.to_qu_id\nWHERE rp.not_check_stock_fulfillment = 0\n\nUNION\n\n-- Just add all recipe positions which should not be checked against stock with fulfilled need\n\nSELECT\n\tr.id AS recipe_id,\n\trp.id AS recipe_pos_id,\n\trp.product_id AS product_id,\n\tCASE WHEN rnr.recipe_id = rnr.includes_recipe_id THEN rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) ELSE rp.amount * ((r.desired_servings*1.0) / (r.base_servings*1.0)) * ((rnr.includes_servings*1.0) / (rnrr.base_servings*1.0)) END AS recipe_amount,\n\tIFNULL(sc.amount_aggregated, 0) AS stock_amount,\n\t1 AS need_fulfilled,\n\t0 AS missing_amount,\n\tIFNULL(sl.amount, 0) * p.qu_factor_purchase_to_stock AS amount_on_shopping_list,\n\t1 AS need_fulfilled_with_shopping_list,\n\trp.qu_id,\n\t(r.desired_servings*1.0 / r.base_servings*1.0) * (rnr.includes_servings*1.0 / CASE WHEN rnr.recipe_id != rnr.includes_recipe_id THEN rnrr.base_servings*1.0 ELSE 1 END) * rp.amount * IFNULL(pcp.price, 0) * rp.price_factor * CASE WHEN rp.only_check_single_unit_in_stock = 1 THEN IFNULL(qucr.factor, 1) ELSE 1 END AS costs,\n\tCASE WHEN rnr.recipe_id = rnr.includes_recipe_id THEN 0 ELSE 1 END AS is_nested_recipe_pos,\n\trp.ingredient_group,\n\tpg.name as product_group,\n\trp.id, -- Just a dummy id column\n\tr.type as recipe_type,\n\trnr.includes_recipe_id as child_recipe_id,\n\trp.note,\n\trp.variable_amount AS recipe_variable_amount,\n\trp.only_check_single_unit_in_stock,\n\trp.amount / r.base_servings*1.0 * (rnr.includes_servings*1.0 / CASE WHEN rnr.recipe_id != rnr.includes_recipe_id THEN rnrr.base_servings*1.0 ELSE 1 END) * IFNULL(p.calories, 0) * CASE WHEN rp.only_check_single_unit_in_stock = 1 THEN IFNULL(qucr.factor, 1) ELSE 1 END AS calories,\n\tp.active AS product_active,\n\tCASE pvs.current_due_status\n\t\tWHEN 'ok' THEN 0\n\t\tWHEN 'due_soon' THEN 1\n\t\tWHEN 'overdue' THEN 10\n\t\tWHEN 'expired' THEN 20\n\tEND AS due_score\nFROM recipes r\nJOIN recipes_nestings_resolved rnr\n\tON r.id = rnr.recipe_id\nJOIN recipes rnrr\n\tON rnr.includes_recipe_id = rnrr.id\nJOIN recipes_pos rp\n\tON rnr.includes_recipe_id = rp.recipe_id\nJOIN products p\n\tON rp.product_id = p.id\nJOIN products_volatile_status pvs\n\tON rp.product_id = pvs.product_id\nLEFT JOIN product_groups pg\n\tON p.product_group_id = pg.id\nLEFT JOIN (\n\tSELECT product_id, SUM(amount) AS amount\n\tFROM shopping_list\n\tGROUP BY product_id) sl\n\tON rp.product_id = sl.product_id\nLEFT JOIN stock_current sc\n\tON rp.product_id = sc.product_id\nLEFT JOIN products_current_price pcp\n\tON rp.product_id = pcp.product_id\nLEFT JOIN quantity_unit_conversions_resolved qucr\n\tON rp.product_id = qucr.product_id\n\tAND rp.qu_id  = qucr.from_qu_id\n\tAND p.qu_id_stock = qucr.to_qu_id\nWHERE rp.not_check_stock_fulfillment = 1;\n"}
{"doc_id": "02a366dd6619a20b884b5ea5ed974e46", "text": "--comments by developer \n--author Pushpinder Kaur 03/05/2019\n--start sql\n/*\nWelcome to Learn SQL :\n\tSQL have 5 set of queries:\n\t\t1. DDL - Create, alter, drop\n\t\t2. DML - insert, update, delete\n\t\t3. DCL - Grant, Revoke\n\t\t4. TCL - commit, Rollback, savepoint\n\t\t5. DQL - select\n*/\n--end sql\n\n\n/*\n-> Numeric data types such as int, tinyint, bigint, float, real etc.\n-> Date and Time data types such as Date, Time, Datetime etc.\n- Character and String data types such as char, varchar, text, char, varchar  etc.\n-> Unicode character string data types, for example nchar, nvarchar, ntext etc.\n-> Binary data types such as binary, varbinary etc.\n-> Miscellaneous data types \u2013 blob, xml, cursor, table etc.\n*/\n\n--DML-> DQL (-select-): no modification only readings\nSELECT 'Hello world!' as Message \nSELECT * FROM SalesLT.Customer\n\n-- commenting in SQL with --\n\n-- in a SQL server... you have many databases.\n-- within each database, we have many \"schemas\"\n-- a schema is a namespace/scope for database objects\n\n-- in AdventureWorksLT database, we have schema SalesLT\n-- inside schemas, we have many db objects, incl. tables\n\n-- this WOULD switch databases (from master),\n-- but Azure SQL DB doesn't support it yet.\nUSE AdventureWorks;\n-- have to use dropdown instead.\n\n-- whitespace doesn't matter\nSelecT                *\nfrom\n\nsalesLt.Customer\n-- semicolons aren't necessary\n-- SQL syntax is case-insensitive\n\n-- SQL's string comparison by default is also case-insensitive\n-- but really that depends on the \"collation\" i.e. the\n-- settings for datetime format, number format\n\n-- the SELECT statement ...\n-- doesn't even need to access the DB\nSELECT 1;\nSELECT CURRENT_TIMESTAMP as CurrentDateTime;\n\nselect 'Pushpinder Kaur is a trainer for .Net batch'\n--Alias\nselect 'Pushpinder' As 'FirstName', 'Kaur' As 'LastName'\n\n--Schema-> group of related tables\nselect AddressLine2 from SalesLT.Address\nselect distinct AddressLine2 from SalesLT.Address\nSELECT * FROM SalesLT.Address\n--we can compute new values from the column's values.\nselect AddressID as Id, AddressLine1+' '+AddressLine2+' '+City+' '+CountryRegion+' '+PostalCode As fullAddress\nfrom SalesLT.Address\n\nSELECT * FROM SalesLT.Customer;\n\n-- only the columns we want\nSeLeCt FirstName, LastName\nfrom SalesLT.Customer;\n\n-- only the columns i want, only the rows i want\nSELECT FirstName, LastName\nFROM SalesLT.Customer\nWHERE LastName = 'Adams';\n\n-- everything that starts with c and has more letters too\n-- sorts after 'c'\n\n-- we can sort the results (they are in undefined order by default)\n-- ORDER BY clause accomplishes this.\n\n-- all customers first name starting with C\n-- ordered by first name, with last name (descending order) as tiebreaker\nSELECT *\nFROM SalesLT.Customer\nWHERE FirstName >= 'c' AND FirstName < 'd'\nORDER BY FirstName desc;\n\n-- ordered by first name, with last name (descending order) as tiebreaker\nSELECT *\nFROM SalesLT.Customer\nWHERE FirstName >= 'c' AND FirstName < 'd'\nORDER BY FirstName, LastName desc;\n\n-- we can do regex-lite pattern matching on strings with LIKE operator.\n-- [abc] for one character, either a, b, or c\n-- % for any number of any characters\n-- _ for any 1 character\n\nSELECT FirstName, LastName\nFROM SalesLT.Customer\nWHERE LastName like '[AB]%'\norder by lastname;\n\n-- all customers with first name starting with c, then a vowel.\nSELECT FirstName,LastName\nFROM SalesLT.Customer\nWHERE FirstName LIKE 'C[aeoiu]%';\n\nselect FIRSTName, Lastname \nfrom SalesLT.Customer\nwhere FirstName like 'a_[aeiou]%'\n\nselect FIRSTName, lastname\nfrom SalesLT.Customer\nwhere LastName like '_dam_'\n\n-- _ for one of any character\n\n\n\nSELECT * FROM SalesLT.SalesOrderDetail\norder by ProductID desc;\n\n--AGGREGRATE FUNCTIONS - sum, count, avg, min ,max\n-- total number of product 779 ordered ever\nSELECT COUNT(*) AS 'AllAdams'\nFROM SalesLT.Customer\nWHERE LastName = 'Adams';\n\nSELECT *\nFROM SalesLT.SalesOrderDetail\nWHERE ProductID = 779;\n\nselect avg(LineTotal) As 'Average Line Total'\nfrom SalesLT.SalesOrderDetail\n\nSELECT avg(OrderQty) As 'CountOrderQty'\nFROM SalesLT.SalesOrderDetail\nWHERE ProductID = 779;\n\nSELECT (sum(OrderQty)/count(orderqty)) As 'CountOrderQty'\nFROM SalesLT.SalesOrderDetail\nWHERE ProductID = 779;\n\nSELECT lastname, Count(LastName) as [dupe-count]\nFROM SalesLT.Customer\nWHERE LastName < 'B'\nGROUP BY LastName\nHAVING COUNT(LastName) > 2\norder by [dupe-count] desc;\n\n-- so we have boolean operators AND and OR and NOT, and\n-- not-equals != (or... traditional SQL <>)\n\n-- we have ordered comparison of numbers, dates, times, and strings\n-- strings are ordered by \"dictionary order\" \"lexicographic order\"\n-- but this is affected by collation.\n-- with operators < <= > >=\nSELECT *\nFROM SalesLT.Address\n--WHERE countryregion <> 'United States';\nWHERE countryregion != 'United States';\n\nSELECT *\nFROM SalesLT.Customer\nWHERE FirstName = 'Alice' AND LastName != 'Steiner';"}
{"doc_id": "02a677c3f5fdd3baeda02e3b89edcb56", "text": "use test\nset names uft8;\n\n-- 1. \u0412\u044b\u0431\u0440\u0430\u0442\u044c \u0432\u0441\u0435 \u0442\u043e\u0432\u0430\u0440\u044b (\u0432\u0441\u0435 \u043f\u043e\u043b\u044f)\nselect * from product\n\n-- 2. \u0412\u044b\u0431\u0440\u0430\u0442\u044c \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u044f \u0432\u0441\u0435\u0445 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0441\u043a\u043b\u0430\u0434\u043e\u0432\nselect name from store where is_automated = 1\n\n-- 3. \u041f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u043e\u0431\u0449\u0443\u044e \u0441\u0443\u043c\u043c\u0443 \u0432 \u0434\u0435\u043d\u044c\u0433\u0430\u0445 \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0434\u0430\u0436\nselect sum(total) from sale\n\n-- 4. \u041f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 store_id \u0432\u0441\u0435\u0445 \u0441\u043a\u043b\u0430\u0434\u043e\u0432, \u0441 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0431\u044b\u043b\u0430 \u0445\u043e\u0442\u044c \u043e\u0434\u043d\u0430 \u043f\u0440\u043e\u0434\u0430\u0436\u0430\nselect distinct(store_id) from sale\n\n-- 5. \u041f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 store_id \u0432\u0441\u0435\u0445 \u0441\u043a\u043b\u0430\u0434\u043e\u0432, \u0441 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043d\u0435 \u0431\u044b\u043b\u043e \u043d\u0438 \u043e\u0434\u043d\u043e\u0439 \u043f\u0440\u043e\u0434\u0430\u0436\u0438\nselect store_id from store natural left join sale where sale.store_id is null\n\n-- 6. \u041f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0434\u043b\u044f \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0442\u043e\u0432\u0430\u0440\u0430 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u0438 \u0441\u0440\u0435\u0434\u043d\u044e\u044e \u0441\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c \u0435\u0434\u0438\u043d\u0438\u0446\u044b \u0442\u043e\u0432\u0430\u0440\u0430 avg(total/quantity), \u0435\u0441\u043b\u0438 \u0442\u043e\u0432\u0430\u0440 \u043d\u0435 \u043f\u0440\u043e\u0434\u0430\u0432\u0430\u043b\u0441\u044f, \u043e\u043d \u043d\u0435 \u043f\u043e\u043f\u0430\u0434\u0430\u0435\u0442 \u0432 \u043e\u0442\u0447\u0435\u0442.\nselect name, avg(total/quantity) from product natural join sale group by product_id\n\n\n-- 7. \u041f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u044f \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u0440\u043e\u0434\u0430\u0432\u0430\u043b\u0438\u0441\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u0441 \u0435\u0434\u0438\u043d\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u043a\u043b\u0430\u0434\u0430\nselect name from product natural join sale group by product_id having count(distinct store_id) = 1\n\n-- 8. \u041f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u044f \u0432\u0441\u0435\u0445 \u0441\u043a\u043b\u0430\u0434\u043e\u0432, \u0441 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043f\u0440\u043e\u0434\u0430\u0432\u0430\u043b\u0441\u044f \u0442\u043e\u043b\u044c\u043a\u043e \u043e\u0434\u0438\u043d \u043f\u0440\u043e\u0434\u0443\u043a\u0442\nselect name from store natural join sale group by store_id having count(distinct product_id) = 1\n\n-- 9. \u0412\u044b\u0431\u0435\u0440\u0438\u0442\u0435 \u0432\u0441\u0435 \u0440\u044f\u0434\u044b (\u0432\u0441\u0435 \u043f\u043e\u043b\u044f) \u0438\u0437 \u043f\u0440\u043e\u0434\u0430\u0436, \u0432 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0441\u0443\u043c\u043c\u0430 \u043f\u0440\u043e\u0434\u0430\u0436\u0438 (total) \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u0430 (\u0440\u0430\u0432\u043d\u0430 \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0439 \u0438\u0437 \u0432\u0441\u0435\u0445 \u0432\u0441\u0442\u0440\u0435\u0447\u0430\u044e\u0449\u0438\u0445\u0441\u044f)\nselect * from sale where total = (select max(total) from sale);\n\n-- 10. \u0412\u044b\u0432\u0435\u0434\u0438\u0442\u0435 \u0434\u0430\u0442\u0443 \u0441\u0430\u043c\u044b\u0445 \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0445 \u043f\u0440\u043e\u0434\u0430\u0436, \u0435\u0441\u043b\u0438 \u0442\u0430\u043a\u0438\u0445 \u0434\u0430\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e, \u0442\u043e \u0441\u0430\u043c\u0443\u044e \u0440\u0430\u043d\u043d\u044e\u044e \u0438\u0437 \u043d\u0438\u0445\nselect date from sale group by date order by sum(total) DESC, date ASC LIMIT 1"}
{"doc_id": "02b047192bc50df22521ef6bea7e8f21", "text": "-- Requirement: Identify all the users who have never posted a photo, or liked/commented on another photo.\nSELECT users.id, \n    username\nFROM users\n    LEFT JOIN photos \n        ON users.id = photos.user_id\n    LEFT JOIN comments \n        ON users.id = comments.user_id\n    LEFT JOIN likes \n        ON users.id = likes.user_id\nWHERE \n        photos.id IS NULL \n    AND \n        comments.id IS NULL \n    AND \n        likes.created_at IS NULL;\n"}
{"doc_id": "02c4235c85147acf1f21e88e03e5599b", "text": "CREATE TABLE Manufacturers\r\n(\r\n\tManufacturerID INT IDENTITY NOT NULL,\r\n\t[Name] VARCHAR(50) NOT NULL,\r\n\tEstablishedOn DATE DEFAULT GETDATE(),\r\n\r\n\tCONSTRAINT PK_Manufacturers\r\n\tPRIMARY KEY(ManufacturerID)\r\n)\r\n\r\nCREATE TABLE Models\r\n(\r\n\tModelID INT IDENTITY(101, 1) NOT NULL,\r\n\t[Name] VARCHAR(50) NOT NULL,\r\n\tManufacturerID INT NOT NULL,\r\n\r\n\tCONSTRAINT PK_Model\r\n\tPRIMARY KEY(ModelID),\r\n\r\n\t CONSTRAINT FK_Models_Manufacturers\r\n\t FOREIGN KEY(ManufacturerID) \r\n\t REFERENCES Manufacturers(ManufacturerID)\r\n)\r\n\r\nINSERT INTO Manufacturers([Name], EstablishedOn) VALUES\r\n('BMW', '07/03/1916'),\r\n('Tesla', '07/03/1916'),\r\n('Lada', '01/05/1966')\r\n\r\nINSERT INTO Models([Name], ManufacturerID) VALUES\r\n('X1', 1),\r\n('i6', 1),\r\n('Model S', 2),\r\n('Model X', 2),\r\n('Model 3', 2),\r\n('Nova', 3) \r\n\r\nSELECT * FROM Manufacturers\r\n\r\nSELECT * FROM Models\r\n\r\nSELECT m.[Name],\r\n\t   model.[Name] AS ModelName,\r\n\t   m.EstablishedOn\r\n\t   FROM Manufacturers m\r\nJOIN Models AS model ON model.ManufacturerID = m.ManufacturerID"}
{"doc_id": "02c77229124c0e10360dd467aa996882", "text": "\nCREATE TABLE customers (id INT AUTO_INCREMENT PRIMARY KEY,\n\tfirst_name VARCHAR(20),\n\tlast_name VARCHAR(20))\n;;\n\n\nCREATE PROCEDURE create_customer0(IN firstname VARCHAR(50), IN lastname VARCHAR(50),\n        OUT code SMALLINT, OUT msg VARCHAR(50))\n BEGIN\n    INSERT INTO customers VALUES (DEFAULT, firstname, lastname);\n    SET code = 0;\n END\n;;\n\nCREATE PROCEDURE create_customer(IN firstname VARCHAR(50), IN lastname VARCHAR(50), OUT custId INT,\n        OUT code SMALLINT, OUT msg VARCHAR(50))\n BEGIN\n    INSERT INTO customers VALUES (DEFAULT, firstname, lastname);\n    SET custId = LAST_INSERT_ID();\n    SET code = 0;\n END\n;;\n\nCREATE PROCEDURE get_customer(IN custId INT, OUT firstname VARCHAR(50), OUT lastname VARCHAR(50),\n\t\tOUT code SMALLINT, OUT msg VARCHAR(50))\n\tBEGIN\n   \t\tSELECT first_name, last_name INTO firstname, lastname FROM customers WHERE id = custId;\n   \t\tSET code = 0;\n\tEND\n;;\n\nCREATE PROCEDURE list_customers(OUT code SMALLINT, OUT msg VARCHAR(50))\n   \tBEGIN\n    \tSELECT id, first_name firstname, last_name lastname FROM customers;\n     \tSET code = 0;\n  \tEND\n;;\n\nCREATE PROCEDURE list_customers_with_date(OUT db_date DATE, OUT code SMALLINT, OUT msg VARCHAR(50))\n   \tBEGIN\n    \tSELECT * FROM customers;\n     \tSET db_date = CURRENT_DATE;\n     \tSET code = 0;\n  \tEND\n;;\n\nCREATE PROCEDURE list_tables(OUT code SMALLINT, OUT msg VARCHAR(50))\n  \tBEGIN\n  \t\tSELECT TABLE_NAME FROM INFORMATION_SCHEMA.TABLES;\n     \tSET code = 0;\n   \tEND\n;;\n\nCREATE PROCEDURE error_sp(OUT code SMALLINT, OUT msg VARCHAR(50))\n  \tBEGIN\n     \tSET code = 1;\n   \tEND\n;;\n\nCREATE PROCEDURE first_t_name_no_resultfields(OUT tableName VARCHAR(50))\n  \tBEGIN\n  \t\tSELECT TABLE_NAME INTO tableName FROM INFORMATION_SCHEMA.TABLES LIMIT 1;\n   \tEND\n;;\n\nCREATE TABLE component (\n    id INT AUTO_INCREMENT PRIMARY KEY,\n    field0 VARCHAR(50), field1 VARCHAR(50), field2 VARCHAR(50), field3 VARCHAR(50), field4 VARCHAR(50),\n    field5 VARCHAR(50), field6 VARCHAR(50), field7 VARCHAR(50), field8 VARCHAR(50), field9 VARCHAR(50))\n;;\n\nCREATE PROCEDURE fill_component()\n    BEGIN\n         DECLARE i int DEFAULT 1;\n            WHILE i <= 500 DO\n                INSERT INTO component VALUES (DEFAULT, MD5(i), MD5(i), MD5(i), MD5(i), MD5(i), MD5(i), MD5(i), MD5(i), MD5(i), MD5(i));\n                SET i = i + 1;\n            END WHILE;\n    END\n;;\n\nCREATE PROCEDURE list_components()\n    BEGIN\n        SELECT field0, field1, field2, field3, field4, field5, field6, field7, field8, field9 FROM component;\n    END\n;;\n\nCREATE TABLE supplier (id INT AUTO_INCREMENT PRIMARY KEY,\n\tfirst_name VARCHAR(20) NOT NULL)\n;;\n\nCREATE PROCEDURE create_supplier(IN firstname VARCHAR(50))\n BEGIN\n    INSERT INTO supplier VALUES (DEFAULT, firstname);\n END\n;;\nCREATE PROCEDURE get_supplier_count(OUT supplier_count INTEGER)\n BEGIN\n    select count(*) into supplier_count from supplier;\n END\n;;"}
{"doc_id": "02d2ae26807f325c2fd3c35424ba41d1", "text": "SELECT title, \n       SUM(amount) AS \u041a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e, \n       SUM(price * amount)AS \u0421\u0443\u043c\u043c\u0430\nFROM (SELECT title, buy_book.amount, book.price\nFROM book JOIN buy_book USING(book_id)\n                JOIN buy USING(buy_id)\n                    JOIN buy_step USING(buy_id)\n                        JOIN step USING(step_id)\nWHERE  date_step_end IS NOT Null \n      AND name_step = \"\u041e\u043f\u043b\u0430\u0442\u0430\"\nUNION ALL\nSELECT title, \n      buy_archive.amount,\n      buy_archive.price\nFROM buy_archive JOIN book USING(book_id)) alias\nGROUP BY title\nORDER BY \u041a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e DESC\n"}
{"doc_id": "02d9f3c5fa39ae98b5eea39512ec9e2e", "text": "SELECT\n    users.id,\n    users.name,\n    posts.description\nFROM\n    posts\nINNER JOIN\n    users ON users.id = posts.user_id;\n\n\nSELECT\n    posts.description as post,\n    text as comment,\n    name\nFROM\n    posts\nINNER JOIN comments ON posts.id = comments.post_id\nINNER JOIN users ON users.id = comments.user_id;\n\n\nSELECT\n    description as Post,\n    COUNT(likes.id) as Likes\nFROM\n    likes,\n    posts\nWHERE\n    posts.id = likes.post_id\nGROUP BY\n    likes.post_id;\n\n"}
{"doc_id": "030eb9a0d6c9e700be19ac4d514dc347", "text": "-- +migrate Up\nALTER TABLE `groups_attempts`\n    CHANGE COLUMN `best_answer_at` `score_obtained_at` DATETIME DEFAULT NULL\n        COMMENT 'Submission time of the first answer which led to the best score',\n    RENAME INDEX `group_item_score_desc_best_answer_at` TO `group_item_score_desc_score_obtained_at`,\n    ADD COLUMN `score_edit_rule` ENUM('set', 'diff') DEFAULT NULL\n        COMMENT 'Whether the edit value replaces and adds up to the score of the best answer'\n        AFTER `score_reeval`,\n    ADD COLUMN `score_edit_value` FLOAT DEFAULT NULL\n        COMMENT 'Score which overrides or adds up (depending on score_edit_rule) to the score obtained from best answer or propagation'\n        AFTER `score_edit_rule`,\n    ADD CONSTRAINT `cs_groups_attempts_score_edit_value_is_valid` CHECK (IFNULL(`score_edit_value`, 0) BETWEEN -100 AND 100),\n    CHANGE COLUMN `score_diff_comment` `score_edit_comment` varchar(200) DEFAULT NULL\n        COMMENT 'Explanation of the value set in score_edit_value',\n    MODIFY COLUMN `validated_at` DATETIME DEFAULT NULL\n        COMMENT 'Submission time of the first answer that made the item validated within this attempt (validation criteria depends on item)';\n\n# 79 rows\nUPDATE `groups_attempts` SET `score_edit_rule` = 'set', `score_edit_value` = 0\nWHERE `score_diff_manual` != 0 AND `score_diff_manual` = -`score_computed`;\n\n# 1 row\nUPDATE `groups_attempts` SET `score_edit_rule` = 'diff', `score_edit_value` = -40\nWHERE `score_diff_manual` = -40 AND `score_computed` = 100 AND `score` = 60;\n\n# 83 rows\nUPDATE `groups_attempts` SET `score` = 100 WHERE `score` > 100;\n\n# 168,905 rows :/\nUPDATE `groups_attempts`\n    JOIN `items` on `items`.`id` = `groups_attempts`.`item_id`\n    LEFT JOIN LATERAL (\n        SELECT MAX(`score`) AS `score`\n        FROM `users_answers`\n        WHERE `users_answers`.`attempt_id` = `groups_attempts`.`id` AND `users_answers`.`type` = 'Submission' AND\n              `users_answers`.`graded_at` IS NOT NULL\n    ) AS `best_score` ON 1\nSET `groups_attempts`.`score_edit_value` = `groups_attempts`.`score`,\n    `groups_attempts`.`score_edit_rule` = 'set',\n    `groups_attempts`.`score_edit_comment` = 'Different scores in attempt and answer at migration'\nWHERE `groups_attempts`.`score_edit_rule` IS NULL AND `items`.`type` = 'Task' AND\n    IFNULL(`best_score`.`score`, 0) != `groups_attempts`.`score`;\n\nUPDATE `groups_attempts` SET `score_edit_comment` = NULL WHERE `score_edit_rule` IS NULL;\n\nALTER TABLE `groups_attempts`\n    DROP COLUMN `score_diff_manual`,\n    DROP COLUMN `score_computed`,\n    CHANGE COLUMN `score` `score_computed` FLOAT NOT NULL DEFAULT '0'\n        COMMENT 'Score computed from the best answer or by propagation, with score_edit_rule applied',\n    ADD CONSTRAINT `cs_groups_attempts_score_computed_is_valid` CHECK (`score_computed` BETWEEN 0 AND 100),\n    DROP COLUMN `score_reeval`;\n\n-- +migrate Down\nUPDATE `groups_attempts` SET `score_edit_comment` = '' WHERE `score_edit_comment` IS NULL;\n\nALTER TABLE `groups_attempts`\n    CHANGE COLUMN `score_obtained_at` `best_answer_at` DATETIME DEFAULT NULL\n        COMMENT 'When this group obtained its best score so far on this attempt.',\n    RENAME INDEX `group_item_score_desc_score_obtained_at` TO `group_item_score_desc_best_answer_at`,\n    DROP CHECK `cs_groups_attempts_score_computed_is_valid`,\n    ADD COLUMN `score_reeval` FLOAT DEFAULT '0'\n        COMMENT 'Score computed during a reevaluation. This field allows to do a reevaluation, continue it if interrupted, and then apply the reevaluated score when/if we want.'\n        AFTER `score_computed`,\n    ADD COLUMN `score_diff_manual` FLOAT NOT NULL DEFAULT '0'\n        COMMENT 'How much did we manually add to the computed score' AFTER `score_reeval`,\n    CHANGE COLUMN `score_edit_comment` `score_diff_comment` VARCHAR(200) NOT NULL DEFAULT ''\n        COMMENT 'Reason why the score was manually changed',\n    MODIFY COLUMN `validated_at` DATETIME DEFAULT NULL\n        COMMENT 'When the item was validated within this attempt (validation criteria depends on item)';\n\nALTER TABLE `groups_attempts`\n    CHANGE COLUMN `score_computed` `score` FLOAT NOT NULL DEFAULT '0' COMMENT 'Current score for this attempt',\n    ADD COLUMN `score_computed` FLOAT NOT NULL DEFAULT '0'\n        COMMENT 'Score computed for this attempt (may be manually overriden)'\n        AFTER `score`;\n\nUPDATE `groups_attempts`\n    LEFT JOIN LATERAL (\n        SELECT MAX(`score`) AS `score`\n        FROM `users_answers`\n        WHERE `users_answers`.`attempt_id` = `groups_attempts`.`id` AND `users_answers`.`type` = 'Submission' AND\n            `users_answers`.`graded_at` IS NOT NULL\n        ) AS `best_score` ON 1\nSET `groups_attempts`.`score_computed` = IF(\n        `groups_attempts`.`score_edit_rule` IS NOT NULL, IFNULL(`best_score`.`score`, 0), 0\n    ),\n    `groups_attempts`.`score` = CASE\n        WHEN `groups_attempts`.`score_edit_rule` = 'diff'\n            THEN `groups_attempts`.`score_computed` + `groups_attempts`.`score_edit_value`\n        WHEN `groups_attempts`.`score_edit_rule` = 'set'\n            THEN `groups_attempts`.`score_edit_value`\n        ELSE\n            `groups_attempts`.`score`\n        END,\n    `groups_attempts`.`score_diff_manual` = CASE\n        WHEN `groups_attempts`.`score_edit_rule` = 'diff'\n            THEN `groups_attempts`.`score_edit_value`\n        WHEN `groups_attempts`.`score_edit_rule` = 'set'\n            THEN `groups_attempts`.`score_computed` - `groups_attempts`.`score`\n        ELSE\n            0\n        END;\n\nALTER TABLE `groups_attempts`\n    DROP COLUMN `score_edit_rule`,\n    DROP COLUMN `score_edit_value`;\n"}
{"doc_id": "033a68d53ef4e15a64d2133a3d173739", "text": "\ufeffCREATE PROCEDURE uspRetrieveSocialMediaForSpeaker\n(\n\t@SpeakerId NVARCHAR(128)\n)\nAS\nBEGIN\n\tSELECT SocialMedia.SocialMediaProviderId,\n\t\t\t\t SocialMedia.ProfileName,\n\t\t\t\t SocialMediaProvider.BaseUrl\n\t\tFROM Speaker\n\t INNER JOIN Contact ON Contact.Id = Speaker.ContactId\n\t INNER JOIN ContactSocialMedia ON ContactSocialMedia.ContactId = Contact.Id\n\t INNER JOIN SocialMedia ON SocialMedia.Id = ContactSocialMedia.SocialMediaId\n\t INNER JOIN SocialMediaProvider ON SocialMediaProvider.Id = SocialMedia.SocialMediaProviderId\n\t WHERE Speaker.AspNetUserId = @SpeakerId\n\t\t AND SocialMedia.IsDeleted = 0\n\t\t AND SocialMediaProviderId IN (1, 2, 3, 6, 9, 12, 13, 14)\nEND"}
{"doc_id": "0348907974b713243c1d3a7f4509f75a", "text": "CREATE TABLE users (\n  id SERIAL PRIMARY KEY,\n  email TEXT NOT NULL,\n  password_digest TEXT NOT NULL,\n  created_at TIMESTAMP NOT NULL,\n  updated_at TIMESTAMP NOT NULL\n);\n\nALTER TABLE users ADD UNIQUE (email);\n\nCREATE TABLE albums (\n  id SERIAL PRIMARY KEY,\n  user_id INTEGER NOT NULL,\n  name TEXT NOT NULL,\n  created_at TIMESTAMP NOT NULL,\n  updated_at TIMESTAMP NOT NULL,\n  FOREIGN KEY (user_id) REFERENCES users(id)\n);\n\nCREATE INDEX ON albums(user_id);\n\nCREATE TABLE photos (\n  id SERIAL PRIMARY KEY,\n  album_id INTEGER NOT NULL,\n  filename TEXT NOT NULL,\n  created_at TIMESTAMP NOT NULL,\n  updated_at TIMESTAMP NOT NULL,\n  FOREIGN KEY (album_id) REFERENCES albums(id)\n);\n\nCREATE INDEX ON photos(album_id);\n"}
{"doc_id": "0358620130c0d42df596a815e92439d5", "text": "--! Used for figure\n\\set name count_intersections\ndrop table if exists :name;\ncreate table :name as \nselect date_trunc('month', time )::date as month\n\t, count(*) as total\n\t-- , count(case when ringct and num_out = ringsize then 1 end)  as trivial_ringct -- nothing interesting to see here\n\t-- , count(case when ringct and num_out < ringsize then 1 end) as nontrivial_ringct -- nothing interesting to see here\n\t, count(case when num_out = ringsize then 1 end)  as trivial\n\t, count(case when num_out < ringsize then 1 end) as nontrivial\n\t-- , round(count(case when valid then 1 end)::numeric / count(*), 4) as accuracy\nfrom tx natural join txin natural join \n(select inid, num_out, count(outid)  as ringsize from ring natural join (select unnest(ins) as inid, num_out from intersections) as a group by 1,2) as intersection_inputs\ngroup by 1\norder by 1 asc;\n\n\\set file :outfolder:name'.csv'''\nCOPY :name to :file csv header delimiter E'\\t';\n\n\n-- IR works somewhat differently on multiple chains.\n-- For each set of inputs, get set of keyimgs\n-- If #(set of inputs) = #(keyimgs), there is an intersection.\n\n-- Extremely unlikely, though implemented for shit & giggles\n\n-- Note that for forks not only outid but also fork_outids have to be considered as possible real input.\n-- To prevent matches if xmv_/xmo_ outids are by chance the same (will never happen but whatever), take negative value of those.\n\n\\timing on\n-- Intersections on one chain\ndrop table if exists intersections;\ncreate table intersections as\nselect outs\n\t, array_agg(inid order by inid) as ins\n\t, #outs as num_out\nfrom (select inid\n\t\t, array_agg(outid order by outid) as outs\n\t\tfrom ring\n\t\twhere matched = 'spent'\n\t\tgroup by 1) as a\ngroup by 1;\n\ndrop table if exists cross_chain_intersections; -- takes forever, most likely results in empty table\ncreate table cross_chain_intersections as\nselect array_agg(chain order by chain) as chains, outs, array_agg(keyimg order by keyimg) as keyimgs\nfrom (\n\t(select 1 as chain, keyimg, array_agg(outid order by outid) as outs from ring natural join txi\n\twhere undecided(matched) group by 1,2)\n\tunion\n\t(select 2 as chain, keyimg, array_agg(coalesce(outid,-xmv_outid)order by outid) as outs from xmv_ring natural join xmv_txi\n\twhere undecided(matched) group by 1,2)\n\tunion\n\t(select 3 as chain, keyimg, array_agg(coalesce(outid,-xmo_outid)order by outid) as outs from xmo_ring natural join xmo_txi\n\twhere undecided(matched) group by 1,2)\n) as a\ngroup by outs having count(distinct keyimg) = #outs and count(distinct chain) > 1;\n\ncomment on table cross_chain_intersections is 'Cross chain intersections. Very likely empty table';\n\n-- Compare numbers to Wiyita et al 2018\nselect ins as intersection_set, min(block) as minblock, max(block) as maxblock\nfrom (select ins, num_out, unnest(ins) as inid from intersections) as a\nnatural join txi\nnatural join tx\nwhere\n    block < 1470000\n    and ringsize = num_out\ngroup by 1 \norder by 2 asc;\n\n-- Compare numbers to Wiyita et al 2018\nselect count(ins) as intersections, count(distinct ins) as distinct_intersections, count(distinct txid) as diff_TXs\nfrom (select ins, num_out, unnest(ins) as inid from intersections) as a\nnatural join txi\nnatural join tx\nwhere\n    block < 1470000\n    and ringsize = num_out;\n\n\n-- Investigating huge peak in September 2014 - 745 different dust outputs\nselect amount,count(*)\nfrom (\n\tselect distinct outid\n\tfrom (select unnest(ins) as inid from intersections) as a\n\t\tjoin txin using (inid)\n\t\tjoin tx using (txid)\n\t\tjoin ring using (inid)\n\twhere date_trunc('month',time) = '2014-09-01') as a\njoin txout using(outid)\ngroup by 1;\n\nselect txid, count(inid)\nfrom (select unnest(ins) as inid from intersections) as a\n\tjoin txin using (inid)\n\tjoin tx using (txid)\nwhere date_trunc('month',time) = '2014-09-01'\ngroup by 1 order by 2 desc;\n\n\ncreate table nontrivial_intersections as\nwith rings as(select inid, array_agg(outid order by outid) as outs from ring where matched = 'unknown' group by 1)\nselect a.inid, a.outs\nfrom rings a join rings b\non a.inid <> b.inid and #(a.outs|b.outs) <= (#a.outs + 1);\n\n\n"}
{"doc_id": "036715f24dd618195f6d8f14e9a68a16", "text": "-- 1. Berapa total DVD yang disewa dan total pendapatan tiap genre? Genre apa yang paling banyak disewa dan memiliki total pendapatan paling tinggi?\n\nWITH cte1 AS (\n\t SELECT c.name genre, COUNT(r.*) total_sewa\n\t FROM rental AS r\n\t INNER JOIN inventory AS i\n\t ON r.inventory_id = i.inventory_id\n\t INNER JOIN film AS f\n\t ON i.film_id = f.film_id\n\t INNER JOIN film_category as fc\n\t ON f.film_id = fc.film_id\n\t INNER JOIN category as c\n\t ON fc.category_id = c.category_id\n\t GROUP BY 1\n\t ORDER BY 2 DESC\n \t),\n \tcte2 AS (\n\t SELECT c.name genre, SUM(p.amount) total_pendapatan\n\t FROM rental AS r\n\t INNER JOIN payment AS p\n\t ON r.rental_id = p.rental_id\n\t INNER JOIN inventory AS i\n\t ON r.inventory_id = i.inventory_id\n\t INNER JOIN film AS f\n\t ON i.film_id = f.film_id\n\t INNER JOIN film_category as fc\n\t ON f.film_id = fc.film_id\n\t INNER JOIN category as c\n\t ON fc.category_id = c.category_id\n\t GROUP BY 1\n \t)\n SELECT cte1.genre, total_sewa, total_pendapatan\n FROM cte1\n INNER JOIN cte2\n ON cte1.genre = cte2.genre\n ORDER BY 2 DESC, 3 DESC;\n\n\n-- 2.\tBerapa total sewa dan total pendapatan yang diterima perusahaan tiap bulan? Pada bulan apa perusahaan mendapat order total sewa dan total pendapatan tertinggi?\n\nSELECT DATE_PART('month', payment_date) AS bulan, COUNT(r.rental_id) AS total_sewa,\n  \tSUM(amount) AS total_pendapatan\n FROM payment AS p\n INNER JOIN rental AS r\n USING(rental_id)\n GROUP BY 1\n ORDER BY 2 DESC, 3 DESC;\n\n\n-- 3.\tBerapa total pendapatan pada masing-masing hari yang berbeda (day of week)?\n-- Pada hari apa perusahaan menerima total pendapatan tertinggi dan terendah?\n\n\nSELECT DATE_PART('dow', payment_date) AS day_of_week, \n\t  COUNT(r.rental_id) AS total_sewa,\n\t  SUM(amount) AS total_pendapatan\n FROM payment AS p\n INNER JOIN rental AS r\n USING(rental_id)\n GROUP BY 1\n ORDER BY 2 DESC, 3 DESC;\n\n\n-- 4.\tSiapa staff yang menghasilkan total sewa dan total pendapatan paling tinggi?\n\nWITH table1 AS (\n\t  SELECT s.staff_id, CONCAT(first_name, ' ', last_name) \n\t   AS nama_staf, SUM(amount) AS total_pendapatan\n\t  FROM staff AS s\n\t  INNER JOIN payment AS p\n\t  ON s.staff_id = p.staff_id\n\t  GROUP BY 1\n\t),\n\ttable2 AS(\n\t  SELECT s.staff_id, COUNT(r.staff_id) AS total_sewa\n\t  FROM staff AS s\n\t  INNER JOIN rental AS r\n\t  ON s.staff_id = r.staff_id\n\t  GROUP BY 1\n  \t)\n\nSELECT table1.staff_id AS id_staf, nama_staf, total_sewa, total_pendapatan\nFROM table1\nINNER JOIN table2\nON table1.staff_id = table2.staff_id;\n\n\n-- 5.\tBerapa banyak pelanggan berbeda yang menyewa DVD setiap genre?\n\n\nSELECT ca.name AS genre, COUNT(DISTINCT cu.customer_id) AS customer_unik\n FROM customer AS cu\n INNER JOIN rental AS r\n ON cu.customer_id = r.customer_id\n INNER JOIN inventory AS i\n ON r.inventory_id = i.inventory_id\n INNER JOIN film AS f\n ON i.film_id = f.film_id\n INNER JOIN film_category AS fc\n ON f.film_id = fc.film_id\n INNER JOIN category AS ca\n ON fc.category_id = ca.category_id\n GROUP BY 1\n ORDER BY 2 DESC;\n\n\n-- 6.\tBerapa tarif sewa rata-rata untuk setiap genre? (dari yang tertinggi ke terendah)\n\n\nSELECT ca.name AS genre, ROUND(AVG(f.rental_rate), 2) AS rerata_tarif_sewa\n FROM film AS f\n INNER JOIN film_category AS fc\n USING(film_id)\n INNER JOIN category AS ca\n USING(category_id)\n GROUP BY 1\n ORDER BY 2 DESC;\n\n\n-- 7.\tBerapa total DVD film yang dikembalikan terlambat, lebih awal, dan tepat waktu? sebutkan persentase masing-masing status pengembalian\n\n\t\nWITH table1 AS(\n\tSELECT (return_date - rental_date) AS diff_date, EXTRACT(DAY FROM return_date - rental_date) AS lama_sewa, inventory_id\n\tFROM rental\n\t),\n  table2 AS(\n   \tSELECT rental_duration, lama_sewa,\n      CASE WHEN rental_duration > lama_sewa THEN 'Lebih Awal'\n           WHEN rental_duration = lama_sewa THEN 'Tepat Waktu'\n           ELSE 'Terlambat'\n      END AS status_pengembalian\n   \tFROM film AS f\n   \tINNER JOIN inventory AS i\n   \tUSING(film_id)\n   \tINNER JOIN table1\n   \tUSING(inventory_id)\n  \t),\n  table3 AS(\n   \tSELECT table2.status_pengembalian AS status_pengembalian,\n      count(table2.status_pengembalian) AS total_status_pengembalian\n   \tFROM table2\n   \tGROUP BY 1\n  ),\n  table4 AS(\n    SELECT SUM(total_status_pengembalian) AS total_sp\n    FROM table3\n  ), \n  table5 AS(\n    SELECT table3.status_pengembalian, ROUND(table3.total_status_pengembalian / table4.total_sp * 100, 2) AS \"persentase_status_pengembalian (%)\"\n    from table3\n    CROSS JOIN table4\n  )\n  \n SELECT *\n FROM table3\n INNER JOIN table5\n USING(status_pengembalian);\n\n\n\n-- 8.\tSebutkan negara mana saja yang menjadi basis lokasi perusahaan DVD rental \u2018XYZ\u2019? Berapa basis pelanggan dari perusahaan DVD rental \u2018XYZ\u2019 di setiap negara? Berapa total pendapatan yang diterima dari setiap negara? (dari tertinggi hingga terendah)\n\nSELECT co.country_id AS id_negara, co.country AS negara, COUNT(DISTINCT cu.customer_id) AS total_pelanggan, SUM(p.amount) AS total_pendapatan\n FROM country AS co\n INNER JOIN city AS ci\n USING(country_id)\n INNER JOIN address AS a\n USING(city_id)\n INNER JOIN customer AS cu\n USING(address_id)\n INNER JOIN payment AS p\n USING(customer_id)\n GROUP BY 1, 2\n ORDER BY 4 DESC;\n\n\n\n-- 9.\tSiapakah 10 pelanggan yang loyal terhadap perusahaan DVD rental \u2018XYZ\u2019 ditinjau dari total pembayaran tertinggi. Berikan alamat detail dari 10 pelanggan tersebut sehingga perusahaan dapat memberikan reward atau hadiah kepada mereka\n\nWITH table1 AS(\n     SELECT customer_id AS id_pelanggan, CONCAT(first_name, ' ', last_name) AS nama_pelanggan, email, SUM(amount) AS total_pembayaran,\n     \taddress AS alamat, district AS distrik, postal_code AS kode_pos, phone AS no_telp, city AS kota, country AS negara\n     FROM payment AS p\n     INNER JOIN customer AS cu\n     USING(customer_id)\n     INNER JOIN address AS a\n     USING(address_id)\n     INNER JOIN city AS ci\n     USING(city_id)\n     INNER JOIN country AS co\n     USING(country_id)\n     GROUP BY 1, 2, 3, 5, 6, 7, 8, 9, 10\n     ORDER BY 4 DESC\n     LIMIT 10)\nSELECT *\nFROM table1;"}
{"doc_id": "036952dba0691be5c3eb96e638d210d7", "text": "/***********************************************************************\n\nlist-user-privs-by-roles.sql  --  DB Users by Role Membership\n\n:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::\n\nPurpose:\n This script serves as a method for returning the users within the\ndatabase and the membership each user has in the database roles.\n\n:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::\n\nHistory:\n\nChristian Wells        10/07/2015               Original coding.\n\n:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::\n\nVersions Supported:\nEGDB: All\nDBMS: SQL Server\nDBMS Version: All\n\n:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::\n\nTags:\nSQL Server, privileges, permissions, users, roles\n\n:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::\n\nNotes:\n-If the database has more roles that listed, add them to the IN statement\nin the PIVOT and add them to the expression in the SELECT\n\n***********************************************************************/\n\nSELECT UPPER(\"User\") \"User\",\n  \"User Type\",\n  CASE \"db_accessadmin\"\n    WHEN 1\n    THEN 'X'\n    ELSE ''\n  END \"DB_ACCESSADMIN\",\n  CASE \"db_datareader\"\n    WHEN 1\n    THEN 'X'\n    ELSE ''\n  END \"DB_DATAREADER\",\n  CASE \"db_datawriter\"\n    WHEN 1\n    THEN 'X'\n    ELSE ''\n  END \"DB_DATAWRITER\",\n  CASE \"db_ddladmin\"\n    WHEN 1\n    THEN 'X'\n    ELSE ''\n  END \"DB_DDLADMIN\",\n  CASE \"db_owner\"\n    WHEN 1\n    THEN 'X'\n    ELSE ''\n  END \"DB_OWNER\",\n  CASE \"Db_securityadmin\"\n    WHEN 1\n    THEN 'X'\n    ELSE ''\n  END \"DB_SECURITYADMIN\" --Add additional roles here, if applicable\nFROM\n  (SELECT d.name AS \"User\",\n    d.type_desc  AS \"User Type\",\n    s.name rname,\n    is_rolemember(s.name, d.name) AS RL\n  FROM sys.database_principals d,\n    sysusers s\n  WHERE s.issqlrole                          = 1\n  AND s.name                                <> 'PUBLIC'\n  AND d.type                                <> 'r'\n) AS ROLE_PRIVS PIVOT (SUM(RL) FOR RNAME IN\n  (\n    DB_ACCESSADMIN,DB_DATAREADER,DB_DATAWRITER,DB_DDLADMIN,DB_OWNER,DB_SECURITYADMIN --Add additional roles here, if applicable\n  )\n) AS PVT\nORDER BY 2,1\n"}
{"doc_id": "036eaf76f46637452a4dab0510db599e", "text": "CREATE DATABASE Bakery\n\nUSE Bakery\n\nCREATE TABLE Products (\n\tId INT PRIMARY KEY IDENTITY,\n\t[Name] NVARCHAR(25) NOT NULL UNIQUE,\n\tDescription NVARCHAR(250),\n\tRecipe NVARCHAR(MAX) NOT NULL,\n\tPrice DECIMAL(15, 2) NOT NULL CHECK (Price >= 0)\n\t);\n\nCREATE TABLE Countries (\n\tId INT PRIMARY KEY IDENTITY,\n\t[Name] NVARCHAR(50) UNIQUE NOT NULL\n\t);\n\n\nCREATE TABLE Customers (\n\t Id          INT PRIMARY KEY IDENTITY,\n    FirstName   NVARCHAR(25) NOT NULL,\n    LastName    NVARCHAR(25) NOT NULL,\n    Gender      CHAR(1)      NOT NULL CHECK (Gender IN ('M', 'F')),\n    Age         INT          NOT NULL,\n    PhoneNumber CHAR(10)     NOT NULL CHECK (LEN(PhoneNumber) = 10),\n    CountryId   INT          NOT NULL FOREIGN KEY REFERENCES Countries (Id)\n\t);\n\n\nCREATE TABLE Feedbacks (\n\tId\t\t\t\tINT PRIMARY KEY IDENTITY,\n\t[Description]\tNVARCHAR(255),\n\tRate\t\t\tDECIMAL(4, 2) NOT NULL CHECK (Rate >= 0 AND Rate <= 10),\n    ProductId\t\tINT           NOT NULL FOREIGN KEY REFERENCES Products (Id),\n    CustomerId\t\tINT           NOT NULL FOREIGN KEY REFERENCES Customers (Id)\n\t);\n\n\nCREATE TABLE Distributors (\n\tId INT PRIMARY KEY IDENTITY,\n\t[Name] NVARCHAR(25) NOT NULL UNIQUE,\n\t[AddressText] NVARCHAR(30) NOT NULL,\n\tSummary NVARCHAR(200),\n\tCountryId INT NOT NULL FOREIGN KEY REFERENCES Countries(Id)\n\t);\n\n\nCREATE TABLE Ingredients (\n\tId INT PRIMARY KEY IDENTITY,\n\t[Name] NVARCHAR(30) NOT NULL,\n\t[Description] NVARCHAR(200),\n\tOriginCountryId INT NOT NULL FOREIGN KEY REFERENCES Countries(Id),\n\tDistributorId INT NOT NULL FOREIGN KEY REFERENCES Distributors(Id)\n\t);\n\n\nCREATE TABLE ProductsIngredients (\n    ProductId    INT NOT NULL FOREIGN KEY REFERENCES Products (Id),\n    IngredientId INT NOT NULL FOREIGN KEY REFERENCES Ingredients (Id),\n    PRIMARY KEY (ProductId, IngredientId)\n\t);"}
{"doc_id": "0371c86cf7b045e1fc29d7a97a9bf489", "text": "DROP VIEW IF EXISTS commits CASCADE;\n\nCREATE VIEW commits AS WITH raw_commit_texts AS (\n    SELECT\n      headers.hash,\n      encode(headers.content, 'escape'::TEXT) AS info\n    FROM headers\n    WHERE headers.type::TEXT = 'commit'::TEXT\n),\nsubsections AS (\n    SELECT\n      raw_commit_texts.hash,\n      substring(raw_commit_texts.info from position(E'\\n\\n' in raw_commit_texts.info) + 2) AS message,\n      substring(raw_commit_texts.info from 0 for position(E'\\n\\n' in raw_commit_texts.info)) AS meta\n    FROM raw_commit_texts\n)\nSELECT\n  subsections.hash,\n  (regexp_matches(subsections.meta, 'tree ([^\\s]+)'))[1] AS tree,\n  COALESCE(\n      (SELECT regexp_matches(subsections.meta, 'parent ([^\\s]+)') AS regexp_matches),\n      ARRAY[]::TEXT[]\n  ) AS parent,\n  (regexp_matches(subsections.meta, 'author ([^\\n]+\\>)'))[1] AS author,\n  (regexp_matches(subsections.meta, 'committer ([^\\n]+\\>)'))[1] AS committer,\n  to_timestamp((regexp_matches(subsections.meta, 'author (?:[^\\n]+) (([\\d])+)'::TEXT))[1]::BIGINT) AS author_time,\n  to_timestamp((regexp_matches(subsections.meta, 'committer (?:[^\\n]+) (([\\d])+)'::TEXT))[1]::BIGINT) AS commit_time,\n  subsections.message,\n  (regexp_matches(subsections.meta, '-----BEGIN.*SIGNATURE-----'))[1] as pgp\nFROM subsections\nORDER BY (\n  to_timestamp((regexp_matches(subsections.meta, 'committer (?:[^\\n]+) (([\\d])+)'))[1]::BIGINT)\n) DESC;\n"}
{"doc_id": "0371eed142ca467eceaed7983d653adb", "text": "CREATE OR REPLACE VIEW p210_sprints AS\nWITH t AS (\n    SELECT\n        t.sprint_id,\n        COUNT(*)                                                    AS tasks,\n        SUM(CASE WHEN t.status = 'READY'        THEN 1 ELSE 0 END)  AS tasks_ready,\n        SUM(CASE WHEN t.status = 'IN-PROGRESS'  THEN 1 ELSE 0 END)  AS tasks_in_progress,\n        SUM(CASE WHEN t.status = 'COMPLETE'     THEN 1 ELSE 0 END)  AS tasks_complete,\n        SUM(CASE WHEN t.resource_id IS NOT NULL THEN 1 ELSE 0 END)  AS resources\n    FROM tasks t\n    JOIN sprints s\n        ON s.sprint_id      = t.sprint_id\n    WHERE s.is_active       = 'Y'\n    GROUP BY t.sprint_id\n)\n--\nSELECT\n    s.*,\n    NVL(t.tasks, 0)                 AS tasks,\n    NVL(t.tasks_ready, 0)           AS tasks_ready,\n    NVL(t.tasks_in_progress, 0)     AS tasks_in_progress,\n    NVL(t.tasks_complete, 0)        AS tasks_complete,\n    NVL(t.resources, 0)             AS resources,\n    --\n    CASE\n        WHEN auth.is_developer() = 'Y'\n            THEN 'IUD'\n        WHEN s.is_active = 'Y' AND p.is_active = 'Y' AND auth.get_resource_id() IN (p.owner_id, p.manager_id)\n            THEN 'IU'\n        END AS auth_management\nFROM sprints s\nJOIN projects p\n    ON p.project_id     = s.project_id\nLEFT JOIN t\n    ON t.sprint_id      = s.sprint_id\nWHERE s.project_id      = apex.get_item('P0_PROJECT_ID');\n\n"}
{"doc_id": "039c2fbf656d71d5774923d23f961637", "text": "SELECT\n    class AS Klasse,\n    Gewonnene_Spiele AS \"Wins\",\n    Gespielte_Spiele AS \"Plays\",\n    ROUND((CAST(Gewonnene_Spiele AS DOUBLE) * 100 /\n           CAST(Gespielte_Spiele AS DOUBLE)), 2) AS \"Gewinnrate (%)\",\n    Max_Ausfuerungszeit_in_Sek AS \"Max Zeit (Sek)\",\n    Avg_Ausfuerungszeit_in_Sek AS \"Avg Zeit (Sek)\",\n    Avg_Ausfuerungszeit_in_Sek_ohne_deadline \"Avg Zeit oD (Sek)\",\n    ROUND((CAST(Anzahl_Deadline_nicht_ueberschritten AS DOUBLE) * 100 /\n           CAST(Anzahl_Executions AS DOUBLE)), 2) AS \"Deadline eingehalten (%)\"\nFROM (\n    SELECT\n        p.class,\n        (SELECT COUNT(winner_id) FROM games g\n            JOIN players ssp ON ssp.id = g.winner_id\n            WHERE ssp.class = p.class) AS Gewonnene_Spiele,\n        (SELECT COUNT(class) FROM participants pp\n            JOIN players ssp ON ssp.id = pp.player_id\n            WHERE ssp.class = p.class) AS Gespielte_Spiele,\n        (SELECT ROUND(MAX(execution), 4) FROM execution_times e\n            JOIN players ssp ON ssp.id = e.player_id\n            WHERE ssp.class = p.class) AS Max_Ausfuerungszeit_in_Sek,\n        (SELECT ROUND(AVG(execution), 4) FROM execution_times e\n            JOIN players ssp ON ssp.id = e.player_id\n            WHERE ssp.class = p.class) as Avg_Ausfuerungszeit_in_Sek,\n        (SELECT ROUND(AVG(execution), 4) FROM execution_times e\n            JOIN players ssp ON ssp.id = e.player_id\n            WHERE ssp.class = p.class AND execution < 60) AS Avg_Ausfuerungszeit_in_Sek_ohne_deadline,\n        (SELECT COUNT(class) FROM execution_times e\n            JOIN players ssp ON ssp.id = e.player_id\n            WHERE ssp.class = p.class) AS Anzahl_Executions,\n        (SELECT COUNT(class) FROM execution_times e\n            JOIN players ssp ON ssp.id = e.player_id\n            WHERE ssp.class = p.class\n            AND execution < 60) AS Anzahl_Deadline_nicht_ueberschritten\n    FROM players p\n    GROUP BY p.class\n) AS result\nORDER BY \"Gewinnrate (%)\" DESC"}
{"doc_id": "039d154bb0e772525e8c0b7cc435d0ec", "text": "--a menu date appears before first_appeared date\r\nSELECT id, name, menus_appeared, times_appeared, first_appeared, last_appeared, \r\n\tlowest_price, highest_price, MIN(year_calc) AS first_appeared_calc FROM (\r\n\tSELECT DISTINCT d.*, m.id AS menu_id, CAST(SUBSTR(m.date, 1, 4) AS INT) AS year_calc \r\n\tFROM Dish d\r\n\tINNER JOIN MenuItem mi\r\n\tINNER JOIN MenuPage mp\r\n\tINNER JOIN Menu m\r\n\tWHERE \r\n\tmi.dish_id=d.id AND\r\n\tmp.id=mi.menu_page_id AND\r\n\tm.id=mp.menu_id AND\r\n\tfirst_appeared!='' AND\r\n\tm.date!=''\r\n) \r\nGROUP BY id\r\nHAVING first_appeared > first_appeared_calc"}
{"doc_id": "03d7d264625545dbe53d80b587ce056a", "text": "SELECT DepartmentID, Salary AS [ThirdHighestSalary] FROM (SELECT DISTINCT DepartmentID, Salary ,DENSE_RANK() OVER   \n    (PARTITION BY DepartmentID ORDER BY Salary DESC) AS [Rank]  FROM Employees ) AS R\n\tWHERE [Rank] = 3"}
{"doc_id": "03ee07295806dfb77855202cbd4198e3", "text": "\nSELECT\n  ROUND(SUM(TIV_2016), 2) AS TIV_2016\nFROM insurance \nWHERE TIV_2015 IN\n(SELECT TIV_2015 \n FROM insurance\n GROUP BY TIV_2015\n HAVING COUNT(*) > 1)\n  AND (LAT, LON) NOT IN\n(SELECT lat, lon\n FROM insurance\n GROUP BY lat, lon\n HAVING COUNT(*) > 1);\n\n-- use IN is faster than NOT IN\nselect\nround(sum(tiv_2016),2) as tiv_2016\nfrom\ninsurance\nwhere\ntiv_2015 in (select tiv_2015 from insurance group by 1 having count(*) > 2)\nand (lat, lon) in (select lat, lon from insurance group by 1, 2 having count(*) = 1)\n \n\nSELECT ROUND(SUM(i1.TIV_2016), 2) AS TIV_2016\nFROM insurance i1\nWHERE EXISTS (\n  SELECT *\n  FROM insurance i2\n  WHERE i1.PID != i2.PID \n    AND i1.TIV_2015 = i2.TIV_2015)\nAND NOT EXISTS(\n  SELECT *\n  FROM insurance i3\n  WHERE i1.PID != i3.PID \n    AND i1.LAT = i3.LAT \n    AND i1.LON = i3.LON);\n"}
{"doc_id": "04138e2fd35f7a0256d9d46a3ec83fac", "text": "-- 1)Selecione o nome do empregado e nome do departamento que cada um est\u00e1 relacionado.\nselect e.NomeEmpregado, d.NomeDepartamento  from Empregado e\n\tinner join Departamento d\n\t\ton e.IDDepartamento = d.IDDepartamento;\n\t\t\n-- 2)Exibir o nome do associado e sua cidade, exibir tamb\u00e9m associados sem Cidade relacionada.\n\nselect a.Nome, c.Nome from Associado a\n\tleft join Cidade c\n\t\ton a.IDCidade = c.IDCidade\n\t\t\n\t\n /*3)Lista os estados (UF) e total de cidades, exibir apenas as cidades que n\u00e3o possuem associados relacionados.\nExemplo:UFTotal_Cidades\nRS10\nSP5*/\n\nselect UF, count(IDCidade)\n \tfrom Cidade \n \twhere IDcidade not in(select IDCidade from Associado \n\twhere IDCidade is not null)\n group by UF\n\n\n-- 4)Fa\u00e7a uma consulta que liste o nome do associado, o nome da cidade, e uma coluna que indique se a cidade \u00e9 da regi\u00e3o SUL (RS, SC, PR), se for imprimir *** (3 asteriscos), sen\u00e3o imprimir nulo.\n\nselect a.Nome, c.Nome,\n\t\tcase when c.uf in('RS', 'SC' , 'PR') then '***'\n\t\telse null\n\t\tend RegiaoSul\n\t\tfrom associado a\n\t\tinner join cidade c\n\t\ton a.IDCidade = c.IDCidade\n\n-- 5)Liste o nome do empregado, o nome do gerente, e o departamento de cada um.\nselect e.NomeEmpregado , d.NomeDepartamento , g.nomeEmpregado Gerente , d.nomedepartamento \n\tfrom empregado e\n\tleft join Departamento d   --and empregado g\n\t\ton d.iddepartamento = e.iddepartamento --and d.IDDepartamento = g.idempregado\n\n\tleft join empregado g\n\t\ton e.idgerente = g.idempregado\n\n\tleft join departamento d2\n\t\ton g.iddepartamento = d2.iddepartamento\n\n\n--6)Fa\u00e7a uma c\u00f3pia da tabela Empregado e altere o sal\u00e1rio de todos os empregados (Empregado) que o departamento fique na localidade de SAO PAULO, fa\u00e7a um reajuste de 14,5%\ndrop table Empregado\ndelete empregado\ndelete copiaempregado\ndrop table copiaempregado\n\n\nselect * into copiaempregado from empregado\nselect * from copiaEmpregado\n\nselect c.nomeempregado, c.salario, e.NomeEmpregado, e.Salario from copiaempregado c\n\tinner join empregado e\n\ton e.IDEmpregado = c.IDEmpregado\n\twhere c.IDDepartamento in ( select c.IDDepartamento from  Departamento where Localizacao = 'Sao Paulo')\n\nbegin transaction\nupdate empregado set salario = salario * 1.145 \nwhere IDDepartamento in ( select IDDepartamento from Departamento where Localizacao = 'Sao Paulo')\n\nrollback transaction\n\n\n-- 7)Liste a diferen\u00e7a que representar\u00e1 o reajuste aplicado no item anterior no somat\u00f3rio dos sal\u00e1rios de todos os empregados.\n\nSelect (sum(e.salario) - sum(c.Salario))\n \tfrom copiaempregado c\n \tinner join empregado  e\n \ton c.IDEmpregado = e.IDEmpregado\n\n--\t8)Liste o departamento com o empregado de maior sal\u00e1rio.\n\nselect top 1 nomedepartamento Departamento, nomeempregado Empregado from empregado e\n\tinner join Departamento d \n\ton d.IDDepartamento = e.iddepartamento\n\twhere e.iddepartamento is not null\n\torder by salario desc\n\n-- 9)Fa\u00e7a uma consulta para exibir o nome de cada associado e sua cidade e juntamente com os empregados (nome) e a cidade (localidade) de seu departamento, isto deve ser exibido em uma consulta.\n\nselect a.nome, c.nome cidade from Associado  a\n \tinner join cidade c\n \ton a.IDCidade = c.IDCidade\n\n union all\n\n select e.NomeEmpregado , d.Localizacao \n \tfrom Empregado e\n \tinner join Departamento d\n \ton e.IDDepartamento = d.IDDepartamento\n\n--10)Lista as cidades que tenham associado relacionados. Exibr: Nome e UF apenas\nselect nome, uf from cidade \n \twhere idcidade in (\n \t\tselect idcidade \n \t\tFrom Associado\n \t\twhere idcidade is not null) \n"}
{"doc_id": "041c15cd2862ab1722e86e960682c06d", "text": "CREATE TABLE IF NOT EXISTS promo(\n    id VARCHAR(255) PRIMARY KEY,\n    allowed_claims_total INT,\n    allowed_claims_per_account INT,\n    claims INT\n) ENGINE=InnoDB;\n\nCREATE TABLE IF NOT EXISTS account(\n   \tid VARCHAR(255) PRIMARY KEY\n) ENGINE=InnoDB;\n\nCREATE TABLE IF NOT EXISTS promo_claim(\n   \tclaim_number int PRIMARY KEY AUTO_INCREMENT,\n   \tpromo_id VARCHAR(255),\n\tFOREIGN KEY(promo_id)\n        REFERENCES promo(id)\n        ON DELETE CASCADE\n) ENGINE=InnoDB;\n\nCREATE INDEX promo_claim_promo_id_index ON promo_claim(promo_id);\n\nCREATE TABLE IF NOT EXISTS account_claim(\n   \tpromo_id VARCHAR(255),\n   \taccount_id VARCHAR(255),\n\tclaims INT,\n\tPRIMARY KEY(promo_id, account_id),\n\tFOREIGN KEY(promo_id)\n        REFERENCES promo(id)\n        ON DELETE CASCADE,\n\tFOREIGN KEY(account_id)\n        REFERENCES account(id)\n        ON DELETE CASCADE\n) ENGINE=InnoDB;"}
{"doc_id": "043ced1d4f9edc10acc918ed252267ba", "text": "--\n-- Relational Schema for test Information Model\n-- Generated by ActiveFacts Schema Generator at 2016-10-16T11:10:51+11:00.\n--\n\nCREATE TABLE Author (\n\t-- Author has Author Id\n\tAuthorId                                BIGINT NOT NULL GENERATED ALWAYS AS IDENTITY,\n\t-- Author is called Name\n\tAuthorName                              VARCHAR(64) NOT NULL,\n\t-- Primary index to Author over PresenceConstraint over (Author Id in \"Author has Author Id\") occurs at most one time\n\tPRIMARY KEY CLUSTERED(AuthorId),\n\t-- Unique index to Author over PresenceConstraint over (Author Name in \"author-Name is of Author\") occurs at most one time\n\tUNIQUE NONCLUSTERED(AuthorName)\n);\n\n\nCREATE TABLE Comment (\n\t-- Comment has Comment Id\n\tCommentId                               BIGINT NOT NULL GENERATED ALWAYS AS IDENTITY,\n\t-- Comment was written by Author that has Author Id\n\tAuthorId                                BIGINT NOT NULL,\n\t-- Comment consists of text-Content and maybe Content is of Style\n\tContentStyle                            VARCHAR(20) NULL,\n\t-- Comment consists of text-Content and Content has Text\n\tContentText                             VARCHAR(MAX) NOT NULL,\n\t-- Comment is on Paragraph\n\tParagraphID                             BIGINT NOT NULL,\n\t-- Primary index to Comment over PresenceConstraint over (Comment Id in \"Comment has Comment Id\") occurs at most one time\n\tPRIMARY KEY CLUSTERED(CommentId),\n\tFOREIGN KEY (AuthorId) REFERENCES Author (AuthorId)\n);\n\n\nCREATE TABLE Paragraph (\n\t-- Paragraph surrogate key\n\tParagraphID                             BIGINT NOT NULL GENERATED ALWAYS AS IDENTITY,\n\t-- Paragraph involves Post that has Post Id\n\tPostId                                  BIGINT NOT NULL,\n\t-- Paragraph involves Ordinal\n\tOrdinal                                 INTEGER NOT NULL,\n\t-- Paragraph contains Content that maybe is of Style\n\tContentStyle                            VARCHAR(20) NULL,\n\t-- Paragraph contains Content that has Text\n\tContentText                             VARCHAR(MAX) NOT NULL,\n\t-- Primary index to Paragraph\n\tPRIMARY KEY CLUSTERED(ParagraphID),\n\t-- Unique index to Paragraph over PresenceConstraint over (Post, Ordinal in \"Post includes Ordinal paragraph\") occurs at most one time\n\tUNIQUE NONCLUSTERED(PostId, Ordinal)\n);\n\n\nCREATE TABLE Post (\n\t-- Post has Post Id\n\tPostId                                  BIGINT NOT NULL GENERATED ALWAYS AS IDENTITY,\n\t-- Post was written by Author that has Author Id\n\tAuthorId                                BIGINT NOT NULL,\n\t-- Post belongs to Topic that has Topic Id\n\tTopicId                                 BIGINT NOT NULL,\n\t-- Primary index to Post over PresenceConstraint over (Post Id in \"Post has Post Id\") occurs at most one time\n\tPRIMARY KEY CLUSTERED(PostId),\n\tFOREIGN KEY (AuthorId) REFERENCES Author (AuthorId)\n);\n\n\nCREATE TABLE Topic (\n\t-- Topic has Topic Id\n\tTopicId                                 BIGINT NOT NULL GENERATED ALWAYS AS IDENTITY,\n\t-- Topic is called topic-Name\n\tTopicName                               VARCHAR(64) NOT NULL,\n\t-- maybe Topic belongs to parent-Topic and Topic has Topic Id\n\tParentTopicId                           BIGINT NULL,\n\t-- Primary index to Topic over PresenceConstraint over (Topic Id in \"Topic has Topic Id\") occurs at most one time\n\tPRIMARY KEY CLUSTERED(TopicId),\n\t-- Unique index to Topic over PresenceConstraint over (Topic Name in \"Topic is called topic-Name\") occurs at most one time\n\tUNIQUE NONCLUSTERED(TopicName),\n\tFOREIGN KEY (ParentTopicId) REFERENCES Topic (TopicId)\n);\n\n\nALTER TABLE Comment\n\tADD FOREIGN KEY (ParagraphID) REFERENCES Paragraph (ParagraphID);\n\n\nALTER TABLE Paragraph\n\tADD FOREIGN KEY (PostId) REFERENCES Post (PostId);\n\n\nALTER TABLE Post\n\tADD FOREIGN KEY (TopicId) REFERENCES Topic (TopicId);\n\n"}
{"doc_id": "0446970add8f0fe22aa57bdb8eed61d8", "text": "/*\n02. Write a SQL query to find the names and salaries of the employees that have a salary that is up to 10% higher than the minimal salary for the company.\n*/\n\nUSE TelerikAcademy\n\nSELECT e.FirstName + ' ' + e.LastName AS [Full Name], e.Salary\nFROM Employees e\nWHERE e.Salary > \n\t(SELECT MIN(en.Salary) * 1.1 \n\tFROM Employees en)\nORDER BY e.Salary"}
{"doc_id": "04605fb1e37fb47946a99f5f2582eca7", "text": "CREATE TABLE user (\n  username TEXT NOT NULL PRIMARY KEY,\n  email TEXT NOT NULL,\n  password_hash TEXT,\n  salt TEXT,\n  member_since TIMESTAMP WITH TIME ZONE NOT NULL,\n  active BOOLEAN NOT NULL DEFAULT TRUE\n);\n\nCREATE TABLE user_role (\n  id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,\n  username TEXT NOT NULL REFERENCES user(username),\n  has_role TEXT NOT NULL\n);\n\n-- CREATE TABLE user_activity_log (\n--  id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,\n--  timestamp TIMESTAMP WITH TIME ZONE NOT NULL,\n--  username TEXT NOT NULL REFERENCES user(username),\n--  TODO do some sort of structured recording of activity types in the future\n--  activity TEXT NOT NULL\n-- );\n\n-- CREATE TABLE user_activity_per_day (\n--   id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,\n--   timestamp TIMESTAMP WITH TIME ZONE NOT NULL,\n--   username TEXT NOT NULL REFERENCES user(username),\n--   TODO split up totals per activity type, once we have them defined\n--   total_activities INTEGER NOT NULL\n-- );\n\n-- staging area for documents during upload workflow\nCREATE TABLE upload (\n  id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,\n  owner TEXT NOT NULL UNIQUE REFERENCES user(username),\n  created_at TIMESTAMP WITH TIME ZONE NOT NULL,\n  title TEXT NOT NULL,\n  author TEXT,\n  date_freeform TEXT,\n  description TEXT,\n  source TEXT,\n  language TEXT\n);\n\nCREATE TABLE upload_filepart (\n  id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,\n  upload_id INTEGER NOT NULL REFERENCES upload(id) ON DELETE CASCADE,\n  owner TEXT NOT NULL REFERENCES user(username),\n  title TEXT NOT NULL,\n  content_type TEXT NOT NULL,\n  filename TEXT NOT NULL,\n  filesize_kb DOUBLE,\n  -- TODO filepart metadata (source, identifier,... ?)\n  UNIQUE (owner, title)\n);\n\n-- users own (and can share) documents\nCREATE TABLE document (\n  id TEXT NOT NULL PRIMARY KEY,\n  owner TEXT NOT NULL REFERENCES user(username),\n  uploaded_at TIMESTAMP WITH TIME ZONE NOT NULL,\n  title TEXT NOT NULL,\n  author TEXT,\n  date_numeric TIMESTAMP,\n  date_freeform TEXT,\n  description TEXT,\n  source TEXT,\n  language TEXT\n);\n\nCREATE TABLE document_filepart (\n  id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,\n  document_id TEXT NOT NULL REFERENCES document(id) ON DELETE CASCADE,\n  title TEXT NOT NULL,\n  content_type TEXT NOT NULL,\n  filename TEXT NOT NULL,\n  sequence_no INTEGER NOT NULL,\n  -- TODO filepart metadata (source, identifier,... ?)\n  UNIQUE (document_id, sequence_no)\n);\n\n-- users can organize documents into folders\nCREATE TABLE folder (\n  id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,\n  owner TEXT NOT NULL REFERENCES user(username),\n  title TEXT NOT NULL,\n  -- if parent is empty then it's a root folder\n  parent INTEGER REFERENCES folder(id)\n);\n\nCREATE TABLE folder_association (\n  folder_id INTEGER NOT NULL REFERENCES folder(id),\n  document_id INTEGER NOT NULL REFERENCES document(id)\n);\n\n-- teams are a first level entities similar to user\nCREATE TABLE team (\n  title TEXT NOT NULL PRIMARY KEY,\n  created_by TEXT NOT NULL REFERENCES user(username),\n  created_at TIMESTAMP WITH TIME ZONE NOT NULL\n);\n\nCREATE TABLE team_membership (\n  username TEXT NOT NULL REFERENCES user(username),\n  team TEXT NOT NULL REFERENCES team(title),\n  member_since TIMESTAMP WITH TIME ZONE NOT NULL\n);\n\n-- ledger of shared documents and folders\nCREATE TABLE sharing_policy (\n  id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,\n  -- one of the following two needs to be defined\n  folder_id INTEGER REFERENCES folder(id),\n  document_id INTEGER REFERENCES document(id),\n  shared_by TEXT NOT NULL REFERENCES user(username),\n  shared_with TEXT NOT NULL REFERENCES user(username),\n  shared_at TIMESTAMP WITH TIME ZONE NOT NULL\n);\n\n-- keep a log of what happened for shared elements\n-- e.g. to inform users about what happened\nCREATE TABLE sharing_event_log (\n  id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,\n  type_of_action TEXT,\n  action_by TEXT NOT NULL REFERENCES user(username),\n  action_at TIMESTAMP WITH TIME ZONE NO NULL,\n  policy_id INTEGER NOT NULL REFERENCES sharing_policy(id)\n);\n"}
{"doc_id": "04729e5de726efce4c547d7517cc5176", "text": "\n\nDROP MATERIALIZED VIEW IF EXISTS ALINE_LABS CASCADE;\nCREATE MATERIALIZED VIEW ALINE_LABS as\n\nwith labs_preceeding as\n(\n  select co.icustay_id\n    , l.valuenum, l.charttime\n    , case\n            when itemid = 51006 then 'BUN'\n            when itemid = 50806 then 'CHLORIDE'\n            when itemid = 50902 then 'CHLORIDE'\n            when itemid = 50912 then 'CREATININE'\n            when itemid = 50811 then 'HEMOGLOBIN'\n            when itemid = 51222 then 'HEMOGLOBIN'\n            when itemid = 51265 then 'PLATELET'\n            when itemid = 50822 then 'POTASSIUM'\n            when itemid = 50971 then 'POTASSIUM'\n            when itemid = 50824 then 'SODIUM'\n            when itemid = 50983 then 'SODIUM'\n            when itemid = 50803 then 'TOTALCO2' -- actually is 'BICARBONATE'\n            when itemid = 50882 then 'TOTALCO2' -- actually is 'BICARBONATE'\n            when itemid = 50804 then 'TOTALCO2'\n            when itemid = 51300 then 'WBC'\n            when itemid = 51301 then 'WBC'\n          else null\n        end as label\n    , case when l.charttime > co.vent_starttime then 1 else 0 end as obs_after_vent\n  from ALINE_COHORT co\n  inner join labevents l\n    on l.subject_id = co.subject_id\n    and l.charttime <= co.vent_starttime + interval '4' hour\n    and l.charttime >= co.vent_starttime - interval '2' day\n  where l.itemid in\n  (\n     51300,51301 -- wbc\n    ,50811,51222 -- hgb\n    ,51265 -- platelet\n    ,50824, 50983 -- sodium\n    ,50822, 50971 -- potassium\n    ,50804 -- Total CO2 or ...\n    ,50803, 50882  -- bicarbonate\n    ,50806,50902 -- chloride\n    ,51006 -- bun\n    ,50912 -- creatinine\n  )\n  and valuenum is not null\n)\n, labs_rn as\n(\n  select\n    icustay_id, valuenum, label, obs_after_vent\n    , ROW_NUMBER() over (partition by icustay_id, label, obs_after_vent order by charttime DESC) as rn\n  from labs_preceeding\n)\n, labs_grp as\n(\n  select\n    icustay_id\n    , coalesce(max(case when label = 'BUN' and obs_after_vent = 0 then valuenum else null end),\n              max(case when label = 'BUN' and obs_after_vent = 1 then valuenum else null end)\n              ) as BUN\n    , coalesce(max(case when label = 'CHLORIDE' and obs_after_vent = 0 then valuenum else null end),\n              max(case when label = 'CHLORIDE' and obs_after_vent = 1 then valuenum else null end)\n              ) as CHLORIDE\n    , coalesce(max(case when label = 'CREATININE' and obs_after_vent = 0 then valuenum else null end),\n              max(case when label = 'CREATININE' and obs_after_vent = 1 then valuenum else null end)\n              ) as CREATININE\n    , coalesce(max(case when label = 'HEMOGLOBIN' and obs_after_vent = 0 then valuenum else null end),\n              max(case when label = 'HEMOGLOBIN' and obs_after_vent = 1 then valuenum else null end)\n              ) as HEMOGLOBIN\n    , coalesce(max(case when label = 'PLATELET' and obs_after_vent = 0 then valuenum else null end),\n              max(case when label = 'PLATELET' and obs_after_vent = 1 then valuenum else null end)\n              ) as PLATELET\n    , coalesce(max(case when label = 'POTASSIUM' and obs_after_vent = 0 then valuenum else null end),\n              max(case when label = 'POTASSIUM' and obs_after_vent = 1 then valuenum else null end)\n              ) as POTASSIUM\n    , coalesce(max(case when label = 'SODIUM' and obs_after_vent = 0 then valuenum else null end),\n              max(case when label = 'SODIUM' and obs_after_vent = 1 then valuenum else null end)\n              ) as SODIUM\n    , coalesce(max(case when label = 'TOTALCO2' and obs_after_vent = 0 then valuenum else null end),\n              max(case when label = 'TOTALCO2' and obs_after_vent = 1 then valuenum else null end)\n              ) as TOTALCO2\n    , coalesce(max(case when label = 'WBC' and obs_after_vent = 0 then valuenum else null end),\n              max(case when label = 'WBC' and obs_after_vent = 1 then valuenum else null end)\n              ) as WBC\n\n  from labs_rn\n  where rn = 1\n  group by icustay_id\n)\nselect co.icustay_id\n  , lg.bun as bun_first\n  , lg.chloride as chloride_first\n  , lg.creatinine as creatinine_first\n  , lg.HEMOGLOBIN as hgb_first\n  , lg.platelet as platelet_first\n  , lg.potassium as potassium_first\n  , lg.sodium as sodium_first\n  , lg.TOTALCO2 as tco2_first\n  , lg.wbc as wbc_first\n\nfrom ALINE_COHORT co\nleft join labs_grp lg\n  on co.icustay_id = lg.icustay_id\n"}
{"doc_id": "047448a74767e1af2d1b4412c36fabcb", "text": "WITH RECURSIVE trust_graph(confirmer_id, skill_claimant_id, skill_claim_id, depth, path, confirmations_in_graph) AS (\n  SELECT\n    conf1.confirmer_id,\n    conf1.skill_claimant_id,\n    conf1.skill_claim_id,\n    1                                                   AS depth,\n    ARRAY [conf1.confirmer_id, conf1.skill_claimant_id] AS path,\n    ARRAY [conf1.id] AS confirmations_in_graph\n  FROM confirmations conf1\n  WHERE confirmer_id = 2\n  UNION\n  SELECT\n    conf2.confirmer_id,\n    conf2.skill_claimant_id,\n    conf2.skill_claim_id,\n    previous_results.depth + 1,\n    previous_results.path || conf2.skill_claimant_id,\n    previous_results.confirmations_in_graph || conf2.id\n  FROM confirmations conf2, trust_graph previous_results\n  WHERE conf2.confirmer_id = previous_results.skill_claimant_id\n        AND depth < 3\n        AND NOT conf2.skill_claimant_id = ANY (path)\n        AND NOT conf2.id = ANY (previous_results.confirmations_in_graph)\n        AND NOT (previous_results.path || conf2.skill_claimant_id) = previous_results.path\n)\nSELECT DISTINCT users.id, users.*\nFROM trust_graph, users\nWHERE users.id = skill_claimant_id;\n\n-- SELECT DISTINCT trust_graph.skill_claimant_id\n-- FROM trust_graph\n-- WHERE skill_claim_id = 1;\n\n-- SELECT DISTINCT path,\n--   skill_claimant_id,\n--   confirmer_id,\n--   skill_id,\n--   depth\n-- FROM trust_graph\n--   WHERE skill_id = 5\n-- ORDER BY PATH;\n"}
{"doc_id": "04750ff821a2f36e362d3f654faff907", "text": "-- \u0417\u0430\u043f\u0440\u043e\u0441\u044b \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u041d\u0415 \u0432 \u0442\u0440\u0430\u043d\u0437\u0430\u043a\u0446\u0438\u0438!\n \nVACUUM VERBOSE ANALYZE {table};\n \n-- \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c \u0432\u0441\u0435 \u0442\u044f\u0436\u0451\u043b\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f\n-- \u043f\u043e\u0434\u0433\u043e\u0442\u0430\u0432\u043b\u0438\u0432\u0430\u0435\u043c \u0432 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u0434\u043b\u044f \u043f\u043e\u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0433\u043e \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f: id, \u043f\u043e\u043b\u044f \u0441\u043e \u0441\u0442\u0430\u0440\u044b\u043c\u0438 \u0438/\u0438\u043b\u0438 \u043d\u043e\u0432\u044b\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 (\u043f\u0440\u0438 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e\u0441\u0442\u0438)\n-- \u0438\u043b\u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u0430\u0432\u043b\u0438\u0432\u0430\u0435\u043c \u0432 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 \u0434\u0430\u043d\u043d\u044b\u0435 \u0434\u043b\u044f \u043f\u043e\u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0433\u043e \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u044f: id \u0438 \u0432\u0441\u0435 \u043e\u0441\u0442\u0430\u043b\u044c\u043d\u044b\u0435 \u043f\u043e\u043b\u044f\n-- \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0440\u0435\u0437\u0435\u0440\u0432\u043d\u043e\u0439 \u043a\u043e\u043f\u0438\u0435\u0439 \u0434\u043b\u044f \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u043e\u0442\u043a\u0430\u0442\u0430\nCREATE TABLE IF NOT EXISTS {table}_{JiraTaskId} AS\nSELECT id/*\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 \u043a\u043e\u043b\u043e\u043d\u043a\u0435 id \u0434\u043e\u043b\u0436\u043d\u044b \u0431\u044b\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u043c\u0438!*/, ...\nFROM {table}, ...\nWHERE ...;\n \nCREATE UNIQUE INDEX IF NOT EXISTS {table}_{JiraTaskId}_uniq_id ON {table}_{JiraTaskId} (id);\n \n--SELECT * FROM {table}_{JiraTaskId} ORDER BY id LIMIT 100; -- \u0434\u043b\u044f \u043e\u0442\u043b\u0430\u0434\u043a\u0438\n \nDO $$\nDECLARE\n    -- private variables (do not edit):\n    total_time_start timestamp default clock_timestamp();\n    total_time_elapsed numeric default 0; -- \u0432\u0440\u0435\u043c\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0432\u0441\u0435\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432, \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0430\u0445\n    query_time_start timestamp;\n    query_time_elapsed numeric default 0; -- \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f 1-\u0433\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u0430, \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0430\u0445\n    estimated_time interval default null; -- \u043e\u0446\u0435\u043d\u043e\u0447\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u0441\u0442\u0430\u043b\u043e\u0441\u044c \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c\n    rec_start record;\n    rec_stop record;\n    cycles int default 0; -- \u0441\u0447\u0451\u0442\u0447\u0438\u043a \u0434\u043b\u044f \u0446\u0438\u043a\u043b\u0430\n    batch_rows int default 1; -- \u043f\u043e \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u0431\u0443\u0434\u0435\u043c \u043e\u0431\u043d\u043e\u0432\u043b\u044f\u0442\u044c \u0437\u0430 1 \u0446\u0438\u043a\u043b\n    processed_rows int default 0; -- \u0441\u0447\u0451\u0442\u0447\u0438\u043a, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u043e\u0431\u043d\u043e\u0432\u0438\u043b\u0438, \u0443\u0432\u0435\u043b\u0438\u0447\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043d\u0430 \u043a\u0430\u0436\u0434\u043e\u0439 \u0438\u0442\u0435\u0440\u0430\u0446\u0438\u0438 \u0446\u0438\u043a\u043b\u0430\n    total_rows int default 0; -- \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u0432\u0441\u0435\u0433\u043e\n    -- public variables (need to edit):\n    cur CURSOR FOR SELECT * FROM {table}_{JiraTaskId} ORDER BY id; -- \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0430 \u043f\u043e id \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u0430!\n    time_max constant numeric default 1; -- \u043f\u043e\u0440\u043e\u0433\u043e\u0432\u043e\u0435 \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f 1-\u0433\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u0430, \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0430\u0445\n    cpu_num constant smallint default 1; -- \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u0438\u0432\u0430\u043d\u0438\u044f \u0441\u043a\u0440\u0438\u043f\u0442\u0430 \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0447\u0435\u0440\u0435\u0437 bash \u0438 psql: \u043d\u043e\u043c\u0435\u0440 \u0442\u0435\u043a\u0443\u0449\u0435\u0433\u043e \u044f\u0434\u0440\u0430 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430\n    cpu_max constant smallint default 1; -- \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u0438\u0432\u0430\u043d\u0438\u044f \u0441\u043a\u0440\u0438\u043f\u0442\u0430 \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0447\u0435\u0440\u0435\u0437 bash \u0438 psql: \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u044f\u0434\u0435\u0440 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430\nBEGIN\n    RAISE NOTICE 'Calculate total rows%', ' ';\n \n    SELECT COUNT(*) INTO total_rows FROM {table}_{JiraTaskId};\n \n    FOR rec_start IN cur LOOP\n        cycles := cycles + 1;\n \n        --EXIT WHEN cycles > 15; -- \u0434\u043b\u044f \u043e\u0442\u043b\u0430\u0434\u043a\u0438\n \n        FETCH RELATIVE (batch_rows - 1) FROM cur INTO rec_stop;\n \n        IF rec_stop IS NULL THEN\n            batch_rows := total_rows - processed_rows;\n            FETCH LAST FROM cur INTO rec_stop;\n        END IF;\n \n        query_time_start := clock_timestamp();\n \n            -- \u043d\u0430\u043f\u0438\u0448\u0438\u0442\u0435 \u0437\u0434\u0435\u0441\u044c \u0437\u0430\u043f\u0440\u043e\u0441 \u0434\u043b\u044f \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0437\u0430\u043f\u0438\u0441\u0435\u0439:\n            INSERT INTO ...\n            SELECT ...\n            FROM ... AS t\n            WHERE t.id % cpu_max = (cpu_num - 1)\n              AND t.id BETWEEN rec_start.id AND rec_stop.id;\n \n            -- \u0438\u043b\u0438 \u043d\u0430\u043f\u0438\u0448\u0438\u0442\u0435 \u0437\u0434\u0435\u0441\u044c \u0437\u0430\u043f\u0440\u043e\u0441 \u0434\u043b\u044f \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f \u0437\u0430\u043f\u0438\u0441\u0435\u0439:\n            UPDATE {table} AS n\n            SET ...\n            FROM {table}_{JiraTaskId} AS t\n            WHERE t.id % cpu_max = (cpu_num - 1)\n              AND t.id = n.id AND t.id BETWEEN rec_start.id AND rec_stop.id;\n             \n            -- \u0438\u043b\u0438 \u043d\u0430\u043f\u0438\u0448\u0438\u0442\u0435 \u0437\u0434\u0435\u0441\u044c \u0437\u0430\u043f\u0440\u043e\u0441 \u0434\u043b\u044f \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u044f \u0437\u0430\u043f\u0438\u0441\u0435\u0439:\n            DELETE FROM {table}\n            WHERE id % cpu_max = (cpu_num - 1)\n              AND id BETWEEN rec_start.id AND rec_stop.id;\n \n            -- comment next command if you use PosgreSQL < 11, but you will have one big long transaction\n            COMMIT; -- https://www.postgresql.org/docs/11/plpgsql-transactions.html\n \n        query_time_elapsed := round(extract('epoch' from clock_timestamp() - query_time_start)::numeric, 2);\n        total_time_elapsed := round(extract('epoch' from clock_timestamp() - total_time_start)::numeric, 2);\n        processed_rows := processed_rows + batch_rows;\n \n        IF cycles > 16 THEN\n            estimated_time := ((total_rows * total_time_elapsed / processed_rows - total_time_elapsed)::int::text || 's')::interval;\n        END IF;\n \n        RAISE NOTICE 'Query % processed % rows (id %% % = (% - 1) AND id BETWEEN % AND %) for % sec', cycles, batch_rows, cpu_max, cpu_num, rec_start.id, rec_stop.id, query_time_elapsed;\n        RAISE NOTICE 'Total processed % of % rows (% %%)', processed_rows, total_rows, round(processed_rows * 100.0 / total_rows, 2);\n        RAISE NOTICE 'Current date time: %, elapsed time: %, estimated time: %', clock_timestamp()::timestamp(0), (clock_timestamp() - total_time_start)::interval(0), COALESCE(estimated_time::text, '?');\n        RAISE NOTICE '%', ' '; -- just new line\n \n        IF query_time_elapsed < time_max THEN\n            batch_rows := batch_rows * 2;\n        ELSE\n            batch_rows := GREATEST(1, batch_rows / 2);\n        END IF;\n \n    END LOOP;\n \n    RAISE NOTICE 'Done. % rows per second, % queries per second', (processed_rows / total_time_elapsed)::int, round(cycles / total_time_elapsed, 2);\n \nEND\n$$;\n \nVACUUM VERBOSE ANALYZE {table};\n"}
{"doc_id": "0476beb3d2d550415470df312e832030", "text": "--duplicacion de datos\ninsert into padron(select * from padron where cedula = 108880888);\ncommit;\n--puedo crear la PK?\nalter table padron add constraint padron_pk primary key (cedula) \nusing index tablespace PADRON_IDX;\n--c\u00f3mo borrar solo uno de los dos registros?\nselect cedula, rowid from padron where cedula = 108880888;\n--borrar activemos explain plan\nset autotrace on\n    delete from padron where rowid = 'AAAFiVAAFAAAFiwABK';\n--bloqueos // con PK.. sin PK\n--genera explain plan\n--delete from padron where cedula = 108880888;\n\n\n\n--hints\n--Optimizer hints can be used with SQL statements to alter execution plans. \n--Si el hint est\u00e1 incorrecto... se ignora!!\n\n--hace full costo 6103\nselect /*+ FULL(padron) */ cedula, nombre from padron where cedula = 108880888;\n--costo 3\n--SI SE HACE MAL, SE IGNORA\nselect /*+ FULLY(padron) */ cedula, nombre from padron where cedula = 108880888;\n\nselect cedula, nombre from padron where cedula = 108880888;\n--es lo mismo que lo anterior... solo que de otra forma\nselect /*+ NO_INDEX(padron padron_pk) */ cedula, nombre from padron where cedula = 108880888;\n\n--forzar a que use un indice que no corresponde... PEOR!!! costo 94038\nselect /*+ INDEX(padron padron_pk) */ cedula, nombre from padron where nombre = 'AZZARO';\n\n\n--hint con sintaxis incorrecta \n--costo 6127 TABLES ACCES FULL\nselect /*+ IND_EX(padron padron_pk) */ cedula, nombre from padron where nombre = 'AZZARO';\n\nselect cedula, nombre from padron where nombre = 'AZZARO';\n\n\n\n--laboratorio\n--Crear un IDX por nombre,\n--Aparte otro por Apellido1,\n--Otro por Apellido2\n--Otro compuesto (nombre, apellido1, apellido2)\n\nCREATE INDEX PADRON_IDX01 ON PADRON (NOMBRE) TABLESPACE PADRON_IDX;\nCREATE INDEX PADRON_IDX02 ON PADRON (APELLIDO1) TABLESPACE PADRON_IDX;\nCREATE INDEX PADRON_IDX03 ON PADRON (APELLIDO2) TABLESPACE PADRON_IDX;\nCREATE INDEX PADRON_IDX04 ON PADRON (NOMBRE, APELLIDO1, APELLIDO2) TABLESPACE PADRON_IDX;\n\n--HACER UNA CONSULTA COUNT(*)\n--1. WHERE POR NOMBRE Y FORZAR A QUE USE EL IDX DE NOMBRE, APELLIDO1, APELLIDO2\n--2. WHERE POR NOMBRE, APELLIDO1, APELLIDO2, FORZAR A QUE USE NOMBRE, LUEGO CON APELLIDO1, LUEGO CON APELLIDO2\n\nSELECT /*+ INDEX(padron nombre, apellido1, apellido2) */ COUNT(*) FROM PADRON;\nSELECT /*+ INDEX(padron nombre) */ COUNT(*) FROM PADRON;\nSELECT /*+ INDEX(padron apellido1) */ COUNT(*) FROM PADRON;\nSELECT /*+ INDEX(padron apellido2) */ COUNT(*) FROM PADRON;\n\n\n\n\n\n\n\n\n\n\n\n"}
{"doc_id": "0488845eade1a0e72d803479f2b94742", "text": "DROP DATABASE IF EXISTS employee_db;\nCREATE DATABASE employee_db;\n\nUSE employee_db;\n\n\nCREATE TABLE department (\n    id INT NOT NULL AUTO_INCREMENT,\n    department_name VARCHAR(30)NOT NULL, -- to hold department name\n    PRIMARY KEY(id)\n);\n\n\n\nCREATE TABLE role (\n  id INT NOT NULL AUTO_INCREMENT,\n  title VARCHAR(30) NOT NULL, -- to hold role title\n  salary  numeric(8,2) NOT NULL, -- to hold role salary\n  department_id INT NOT NULL, -- to hold reference to department role belongs to\n  PRIMARY key (id),\n  FOREIGN KEY (department_id) REFERENCES  department (id)\n);\n\n\n\nCREATE TABLE employee (\n   id  INT NOT NULL AUTO_INCREMENT,\n   first_name  VARCHAR(30) NOT NULL, -- to hold employee first name\n   last_name  VARCHAR(30) NOT NULL, -- to hold employee last name\n   role_id  INT NOT NULL, -- to  hold reference to role employee has\n   manager_id  INT, -- to hold reference to another employee that manages the employee being Created. This field may be null if the employee has no manager\n   PRIMARY KEY (id),\n   FOREIGN KEY (role_id) REFERENCES  role (id),\n   FOREIGN KEY (manager_id) REFERENCES  employee (id)\n);\n\n\n\n"}
{"doc_id": "04933979f43cd57e75d814c00c999d22", "text": "\ufeffCREATE TABLE Statements\n(\n\tStatementId INTEGER PRIMARY KEY AUTOINCREMENT,\n\tCommandTextHash INTEGER NOT NULL,\n\tCommandText TEXT NOT NULL,\n\tSampleCommandText TEXT NOT NULL,\n\tMaxTime REAL NOT NULL,\n\tMinTime REAL NOT NULL,\n\tTotalTime REAL NOT NULL,\n\tSampleTime REAL NOT NULL,\n\tExecutionCount INTEGER NOT NULL,\n\tMaxTimeParams TEXT NOT NULL,\n\tMinTimeParams TEXT NOT NULL,\n\tSampleParams TEXT NOT NULL\n); \n\nCREATE INDEX IX_Statements_CommandTextHash ON Statements(CommandTextHash);\n\nCREATE TABLE Executions\n(\n\tExecutionId INTEGER PRIMARY KEY AUTOINCREMENT,\n\tStatementId INTEGER NOT NULL,\n\tExecutionDate DATETIME NOT NULL,\n\tExecutionTime REAL NOT NULL,\n\tDataServiceInstanceId TEXT NULL,\n\tApplicationContext TEXT NULL\n);\n\nCREATE VIEW Statement_Basic \nAS\n\tSELECT \n\t\tStatementId, CommandText, SampleCommandText, MaxTime, MinTime, TotalTime, SampleTime, \n\t\t(TotalTime / ExecutionCount) AS AvgTime, ExecutionCount, MaxTimeParams, MinTimeParams, SampleParams\n\tFROM \n\t\tStatements;\n\nCREATE VIEW Statement_Detailed\nAS\n\tSELECT \n\t\tS.StatementId, S.CommandText, S.SampleCommandText, AC.ApplicationContexts, S.MaxTime, S.MinTime, S.TotalTime, S.SampleTime, \n\t\t(S.TotalTime / S.ExecutionCount) AS AvgTime, TotalTime / sqrt(ExecutionCount) AS Weight, S.ExecutionCount, S.MaxTimeParams, S.MinTimeParams, S.SampleParams\n\tFROM \n\t\tStatements S\n    LEFT OUTER JOIN (\n      SELECT StatementId, group_concat(ApplicationContext, ', ') AS ApplicationContexts\n      FROM\n      (\n        SELECT StatementId, CASE WHEN ApplicationContext IS NULL THEN '<unknown>' ELSE ApplicationContext END AS ApplicationContext\n        FROM\n        (\n          SELECT StatementId, ApplicationContext\n          FROM Executions\n          GROUP BY StatementId, ApplicationContext\n        ) T\n       ) T\n      GROUP BY StatementId    \n    ) AC ON S.StatementId = AC.StatementId;\n\n"}
{"doc_id": "04a38ef519431fa9697756afd456835a", "text": "SELECT\n  STATES.NAME AS STATE,\n  NVL(MOVIES_CATEGORY.NAME, 'ALL') AS CATEGORY,\n  COUNT(*) AS COUNT,\n  SUM(SALES.BRUTTO_PRICE) AS BRUTTO\nFROM SALES\n  JOIN CINEMAS ON SALES.CINEMA_ID = CINEMAS.ID\n  JOIN CITIES ON CINEMAS.CITY_ID = CITIES.ID\n  JOIN STATES ON CITIES.STATE_ID = STATES.ID\n  JOIN SHOWINGS ON SALES.SHOWING_ID = SHOWINGS.ID\n  JOIN MOVIES ON SHOWINGS.MOVIE_ID = MOVIES.ID\n  JOIN MOVIES_CATEGORY ON MOVIES.CATEGORY_ID = MOVIES_CATEGORY.ID\nGROUP BY GROUPING SETS ((STATES.NAME, MOVIES_CATEGORY.NAME), STATES.NAME)\nORDER BY COUNT DESC"}
{"doc_id": "04ac471e25732c92e095c7ba4c6d6905", "text": "# Get all the instances of a given entity <ID>\nSELECT name,url,mention_count FROM instance WHERE entity_id = <ID>;\n\n# Get all the decendant entities (children, grandchildren, etc.) of the entity <ID>\nWITH tblChild AS\n(\n    SELECT * FROM entities WHERE parent_id = <ID>\n    UNION ALL\n    SELECT entities.* FROM entities  JOIN tblChild  ON entities.parent_id = tblChild.id\n)\nSELECT name FROM tblChild;\n\n# Get all the name of the instances from descendant entities of the entity <ID> (including also its own instances)\nSELECT i.name FROM instances i,\n(WITH tblChild AS\n(\n    SELECT * FROM entities WHERE parent_id = <ID>\n    UNION ALL\n    SELECT entities.* FROM entities  JOIN tblChild  ON entities.parent_id = tblChild.id\n)\nSELECT id FROM tblChild\nUNION ALL\nSELECT <ID>) t\nWHERE i.entity_id = t.id;\n\n# Get all the ancestors of an entity <ID>\nWITH tblParent AS\n(\n    SELECT * FROM entities WHERE id = <ID>\n    UNION ALL\n    SELECT entities.* FROM entities JOIN tblParent  ON entities.id = tblParent.parent_id\n)\nSELECT name FROM tblParent WHERE id <> <ID>;\n\n# Get all the ancestor entities of the entity of a instance (including the entity)\nWITH tblParent AS\n(\n    SELECT * FROM entities WHERE id = (SELECT entity_id FROM instances WHERE id = <ID>)\n    UNION ALL\n    SELECT entities.* FROM entities JOIN tblParent  ON entities.id = tblParent.parent_id\n)\nSELECT * FROM tblParent;\n"}
{"doc_id": "04ade58d91de8b82c61fc5c272371409", "text": "\nselect tt1.*,tt1.jijin_cnt_dur2-tt1.jijin_cnt_dur1 as jijin_num_increase\nfrom \n(\n    select t2.name,t2.code,\n    count(distinct case when stock_date='2020-09-30' then jijin_name else null end) as jijin_cnt_dur1,\n    count(distinct case when stock_date='2020-12-31' then jijin_name else null end) as jijin_cnt_dur2\n    from\n    stock_dev.jijin t1\n    left join\n    stock.stock_index t2\n    on t1.stock_index = t2.code\n    where stock_date in ('2020-09-30','2020-12-31')\n    group by t2.name,t2.code\n) tt1\norder by (tt1.jijin_cnt_dur2-tt1.jijin_cnt_dur1)/tt1.jijin_cnt_dur1 desc\nlimit 50\n;\n\n"}
{"doc_id": "04dca11c1547046a922d52965989ff3c", "text": "-- shows the name of winner's names beginning with C and ending in n\nSELECT winner FROM nobel\n WHERE winner LIKE 'C%' AND winner LIKE '%n'\n\n-- how many Chemistry awards were given between 1950 and 1960\nSELECT COUNT(subject) FROM nobel\n WHERE subject = 'Chemistry'\n   AND yr BETWEEN 1950 and 1960\n\n-- shows the amount of years where no Medicine awards were given\nSELECT COUNT(DISTINCT yr) FROM nobel\n WHERE yr NOT IN (SELECT DISTINCT yr FROM nobel WHERE subject = 'Medicine')\n\n-- subject with name start with 'SIR'\nSELECT subject, winner FROM nobel WHERE winner LIKE 'Sir%' AND yr LIKE '196%'\n\n-- show the year when neither a Physics or Chemistry award was given\nSELECT yr FROM nobel\n WHERE yr NOT IN(SELECT yr \n                   FROM nobel\n                 WHERE subject IN ('Chemistry','Physics'))\n\n-- shows the years when a Medicine award was given but no Peace or Literature award was\nSELECT DISTINCT yr\n  FROM nobel\n WHERE subject='Medicine' \n   AND yr NOT IN(SELECT yr FROM nobel \n                  WHERE subject='Literature')\n   AND yr NOT IN (SELECT yr FROM nobel\n                   WHERE subject='Peace')\n\n-- shows subjects with the count\n SELECT subject, COUNT(subject) \n   FROM nobel \n  WHERE yr ='1960' \n  GROUP BY subject"}
{"doc_id": "04de2f696e0c44cf1d70521dec623fff", "text": "-- This query is intended to be run as a custom query in a BigQuery datasource for the datastudio dashboard\n-- Calculate MTTR using start and end time of the incident where a deploy ID is not available\nWITH\n  last_three_months AS (\n    SELECT\n      TIMESTAMP(day) AS day\n    FROM\n      UNNEST(\n        GENERATE_DATE_ARRAY(\n          DATE_SUB(CURRENT_DATE(), INTERVAL 3 MONTH),\n          CURRENT_DATE(),\n          INTERVAL 1 DAY)) AS day\n    # FROM the start of the data\n    WHERE day > (SELECT date(min(time_created)) FROM four_keys.events_raw)\n  )\nSELECT\n  FORMAT_TIMESTAMP('%Y%m%d', day) AS day,\n  # Daily metrics\n  median_time_to_resolve_custom,\n  CASE\n    WHEN max(med_time_to_resolve_bucket_custom) OVER () < 24 THEN \"One day\"\n    WHEN max(med_time_to_resolve_bucket_custom) OVER () < 168 THEN \"One week\"\n    WHEN max(med_time_to_resolve_bucket_custom) OVER () < 672 THEN \"One month\"\n    WHEN max(med_time_to_resolve_bucket_custom) OVER () < 730 * 6 THEN \"Six months\"\n    ELSE \"One year\"\n    END AS time_to_restore_buckets_custom\nFROM\n  (\n    SELECT\n      e.day,\n      CASE WHEN IFNULL(ANY_VALUE(med_time_to_resolve_with_deploy), 0) > 0 THEN IFNULL(ANY_VALUE(med_time_to_resolve_with_deploy), 0)\n           ELSE IFNULL(ANY_VALUE(med_time_to_resolve_without_deploy), 0)\n           END AS median_time_to_resolve_custom,\n      CASE WHEN ANY_VALUE(med_time_to_resolve_with_deploy_bucket) > 0 THEN ANY_VALUE(med_time_to_resolve_with_deploy_bucket)\n           ELSE ANY_VALUE(med_time_to_resolve_without_deploy_bucket)\n           END AS med_time_to_resolve_bucket_custom\n    FROM last_three_months e\n    LEFT JOIN\n      (\n        SELECT\n          d.deploy_id,\n          TIMESTAMP_TRUNC(d.time_created, DAY) AS day,\n          #### Median time to resolve\n          PERCENTILE_CONT(\n            TIMESTAMP_DIFF(time_resolved, d.time_created, HOUR), 0.5)\n            OVER (\n              PARTITION BY TIMESTAMP_TRUNC(d.time_created, DAY)\n            ) AS med_time_to_resolve_with_deploy,\n          PERCENTILE_CONT(\n            TIMESTAMP_DIFF(time_resolved, d.time_created, HOUR), 0.5)\n            OVER () AS med_time_to_resolve_with_deploy_bucket,\n        FROM four_keys.deployments d, d.changes\n        LEFT JOIN four_keys.changes c\n          ON changes = c.change_id\n        LEFT JOIN\n          (\n            SELECT\n              incident_id,\n              change,\n              time_resolved,\n              time_created\n            FROM\n              four_keys.incidents i,\n              i.changes change\n          ) i\n          ON i.change = changes\n      ) d\n      ON d.day = e.day\n    LEFT JOIN\n      (\n        SELECT\n          TIMESTAMP_TRUNC(i.time_created, DAY) AS day,\n          PERCENTILE_CONT(\n            TIMESTAMP_DIFF(time_resolved, i.time_created, HOUR), 0.5)\n            OVER (\n              PARTITION BY TIMESTAMP_TRUNC(i.time_created, DAY)\n            ) AS med_time_to_resolve_without_deploy,\n          PERCENTILE_CONT(\n            TIMESTAMP_DIFF(time_resolved, i.time_created, HOUR), 0.5)\n            OVER () AS med_time_to_resolve_without_deploy_bucket\n         FROM four_keys.incidents i\n      ) i\n      ON i.day = e.day\n    GROUP BY day\n  )\n"}
{"doc_id": "050128392d2e68830a489c4e42b976c4", "text": "# --- !Ups\nCREATE TABLE user_stat\n(\n    user_stat_id SERIAL NOT NULL,\n    user_id TEXT NOT NULL,\n    meters_audited DOUBLE PRECISION NOT NULL,\n    labels_per_meter DOUBLE PRECISION,\n    high_quality BOOLEAN NOT NULL,\n    high_quality_manual BOOLEAN,\n    PRIMARY KEY (user_stat_id),\n    FOREIGN KEY (user_id) REFERENCES sidewalk_user(user_id)\n);\n\nINSERT INTO user_stat (user_id, meters_audited, labels_per_meter, high_quality, high_quality_manual)\n    SELECT sidewalk_user.user_id, COALESCE(meters_audited, 0), labels_per_meter, COALESCE(labels_per_meter > 0.0375, TRUE), NULL\n    FROM (\n        SELECT user_id, meters_audited, label_count / meters_audited AS labels_per_meter\n        FROM (\n            SELECT user_id, SUM(label_count) AS label_count, COALESCE(SUM(distance_progress), 0) AS meters_audited\n            FROM (\n                SELECT sidewalk_user.user_id, distance_progress, COALESCE(COUNT(label.label_id), 0) AS label_count\n                FROM sidewalk_user\n                LEFT JOIN mission ON sidewalk_user.user_id = mission.user_id\n                LEFT JOIN label ON mission.mission_id = label.mission_id\n                WHERE mission.mission_type_id = 2 OR mission.mission_type_id IS NULL\n                GROUP BY sidewalk_user.user_id, mission.mission_id, distance_progress\n            ) label_counts\n            GROUP BY user_id\n        ) distance_and_count\n        WHERE meters_audited > 0\n    ) labeling_freq\n    RIGHT JOIN sidewalk_user ON labeling_freq.user_id = sidewalk_user.user_id;\n\n# --- !Downs\nDROP TABLE user_stat;\n"}
{"doc_id": "05072a0f800fef8553c6026a187c9d43", "text": "CREATE DATABASE employees_db;\n\nUSE employees_db;\n\nCREATE TABLE department (\nid INTEGER AUTO_INCREMENT,\nname VARCHAR(30) NOT NULL,\nPRIMARY KEY (id)\n);\n\nCREATE TABLE role (\nid INTEGER AUTO_INCREMENT,\ntitle VARCHAR (30) NOT NULL,\nsalary DECIMAL (8, 2) NOT NULL,\ndepartment_id INTEGER,\nPRIMARY KEY (id),\nFOREIGN KEY (department_id) \nREFERENCES department (id)\n);\n\nCREATE TABLE employee (\nid INTEGER AUTO_INCREMENT,\nfirst_name VARCHAR (30) NOT NULL,\nlast_name VARCHAR (30) NOT NULL,\nrole_id INTEGER NOT NULL,\nmanager_id INTEGER,\nPRIMARY KEY (id),\nFOREIGN KEY (role_id)\nREFERENCES role (id),\nFOREIGN KEY (manager_id)\nREFERENCES employee (id)\n);"}
{"doc_id": "0537a5cea34cff4e22e278a0120a3db4", "text": "SELECT l.uid as lesson_uid, sk.id as skill_id, skill_name, round(avg(mark), 2) as average_mark, count(mark) as grade_count FROM\n    lessons l JOIN subjects su on su.id = l.subject_id\n        JOIN assignments a ON su.id = a.subject_id JOIN skills sk ON a.skill_id = sk.id\n        LEFT JOIN grades g ON (g.lesson_uid = l.uid AND g.skill_id = sk.id)\nWHERE g.deleted_at IS NULL\nGROUP BY l.uid, sk.id\n"}
{"doc_id": "054393c82da13fdc8dbb5aa6292b846a", "text": "-- Creating DATABASE\n\nCREATE DATABASE IF NOT EXISTS computer_consultancy_firm;\n\n-- Creating TABLES\n\nCREATE TABLE IF NOT EXISTS computer_consultancy_firm.employee (\n    eID INT NOT NULL,\n    eFirstName VARCHAR(255) NOT NULL,\n    eLastName VARCHAR(255) NOT NULL,\n\teDOB DATE NOT NULL,\n\teNumber REAL NOT NULL,\n\teAddress VARCHAR(600) NOT NULL,\n    CONSTRAINT employee_eid_pk PRIMARY KEY (eID),\n\tCONSTRAINT employee_enumber_ck UNIQUE (eNumber)\n);\n\nCREATE TABLE IF NOT EXISTS computer_consultancy_firm.customer (\n    cusID INT NOT NULL,\n    cusFirstName VARCHAR(255) NOT NULL,\n    cusLastName VARCHAR(255) NOT NULL,\n    cusNumber INT NOT NULL,\n    CONSTRAINT customer_cusid_pk PRIMARY KEY (cusID),\n\tCONSTRAINT customer_cusnumber_ck UNIQUE (cusNumber)\n);\n\nCREATE TABLE IF NOT EXISTS computer_consultancy_firm.contract(\n\tconID INT NOT NULL,\n    conName VARCHAR(255) NOT NULL,\n    conDescription VARCHAR(600) NOT NULL,\n\tconCreationDate DATE NOT NULL,\n    conJobType VARCHAR(255) NOT NULL,\n    conProjectLeaderID INT NULL,\n\tcusID INT NOT NULL,\n\tCONSTRAINT contract_conid_pk PRIMARY KEY (conID),\n\tCONSTRAINT contract_eid_fk FOREIGN KEY (conProjectLeaderID) REFERENCES employee (eID)\n\tON UPDATE CASCADE ON DELETE SET NULL,\n\tCONSTRAINT contract_cusid_fk FOREIGN KEY (cusID) REFERENCES customer (cusID) \n\tON UPDATE CASCADE ON DELETE CASCADE\n);\n\nCREATE TABLE IF NOT EXISTS computer_consultancy_firm.role (\n    rID INT NOT NULL,\n    rName VARCHAR(255) NOT NULL,\n    rDescription VARCHAR(600) NOT NULL,\n\trHourlyPay DOUBLE NOT NULL,\n    CONSTRAINT role_rid_pk PRIMARY KEY (rID)\n);\n\nCREATE TABLE IF NOT EXISTS computer_consultancy_firm.employee_work (\n    eID INT NOT NULL,\n    conID INT NOT NULL,\n\tdateRegistered DATE NOT NULL,\n\tCONSTRAINT work_eidconid_pk PRIMARY KEY (eID, conID),\n\tCONSTRAINT work_eid_fk FOREIGN KEY (eID) REFERENCES employee (eID)\n\tON UPDATE CASCADE ON DELETE CASCADE,\n   \tCONSTRAINT work_conid_fk FOREIGN KEY (conID) REFERENCES contract (conID)\n\tON UPDATE CASCADE ON DELETE CASCADE\n);\n\nCREATE TABLE IF NOT EXISTS computer_consultancy_firm.employee_job_role(\n\teID INT NOT NULL,\n    rID INT NOT NULL,\n    hoursWorked DOUBLE NULL,\n\tCONSTRAINT emprole_eidrid_pk PRIMARY KEY (eID, rID),\n\tCONSTRAINT emprole_eid_fk FOREIGN KEY (eID) REFERENCES employee (eID)\n\tON UPDATE CASCADE ON DELETE CASCADE,\n   \tCONSTRAINT emprole_rid_fk FOREIGN KEY (rID) REFERENCES role (rID)  \n\tON UPDATE CASCADE ON DELETE CASCADE\n);\n\n-- Inserting DATA into the TABLES\n\nINSERT IGNORE INTO computer_consultancy_firm.employee (eID, eFirstName, eLastName, eDOB, eNumber, eAddress) VALUES \n\t(11, 'Jane', 'Doe', '2020-06-01', 0771234567, 'Colombo'),\n\t(12, 'John', 'Doe', '2020-06-02', 0771234567, 'Colombo'),\n\t(13, 'Anne', 'Steve', '2020-06-03', 0771234567, 'Colombo');\n\nINSERT IGNORE INTO computer_consultancy_firm.customer (cusID, cusFirstName, cusLastName, cusNumber) VALUES \n\t(21, 'Anne', 'John', 0771234567),\n\t(22, 'Mary', 'Steve', 0771234567),\n\t(23, 'Jane', 'Jacob', 0771234567);\n\t\nINSERT IGNORE INTO computer_consultancy_firm.contract (conID, conName, conDescription, conCreationDate, conJobType, conProjectLeaderID, cusID) VALUES \n\t(31, 'Software Creations', 'Developing a software for marketing', '2018-08-31', 'Software Upgrade', 11, 21),\n\t(32, 'HW Development', 'Developing a hardware for manager', '2019-01-31', 'System Development', 13, 22),\n\t(33, 'SW Initiation', 'Developing a software for HR department', '2018-12-20', 'Software Upgarde', 12, 21);\n\nINSERT IGNORE INTO computer_consultancy_firm.role (rID, rName, rDescription, rHourlyPay) VALUES \n\t(41, 'Hardware Technician', 'Developing hardware', 5000),\n\t(42, 'Programmer', 'Developing code for the program', 4000),\n\t(43, 'Software Installer', 'Developing user interface', 4500);\n\t\nINSERT IGNORE INTO computer_consultancy_firm.employee_work (eID, conID, dateRegistered) VALUES \n\t(11, 31, '2018-08-30'),\n\t(12, 31, '2018-08-31'),\n\t(12, 33, '2018-08-25'),\n\t(13, 32, '2018-07-10'),\n\t(11, 33, '2018-12-25');\n\nINSERT IGNORE INTO computer_consultancy_firm.employee_job_role (eID, rID, hoursWorked) VALUES \n\t(11, 41, 20),\n\t(11, 42, 25),\n\t(12, 41, 30);"}
{"doc_id": "05a34de3490012dcfac02277b465b3b4", "text": "-- We mostly care about the *latest* update but it'd be nice to have\n-- state snapshots for every update we do so that we can replay the game\n-- or otherwise do fancy stuff as we desire.\n-- I think we should have a db like this:\n--   update_id, update_timestamp\n-- which stores the last update. If we support multiple games in one db,\n-- we should add a game_id to that table\n-- Mutable state components of the game should always have an update_id\n-- so that fetching all the state we need is something like:\n-- fetch_location_details(update_id), fetch_players(update_id), fetch_teams(update_id)\n\n-- If we update once/min over the course of three days we have:\n-- 24 hours/day * 3 days * 60 min/hour * 1 update/min = 4320 state snapshots\n-- That shouldn't be too bad to just do them naively...\nDROP TABLE IF EXISTS game_snapshots;\nCREATE TABLE game_snapshots (\n       id INTEGER PRIMARY KEY AUTOINCREMENT,\n       update_time INTEGER\n);\nDROP INDEX IF EXISTS snapshot_time_idx;\nCREATE UNIQUE INDEX snapshot_time_idx ON game_snapshots(update_time);\n\nDROP TABLE IF EXISTS teams;\nCREATE TABLE teams (\n       id INTEGER PRIMARY KEY AUTOINCREMENT,\n       color TEXT NOT NULL,\n       name TEXT UNIQUE NOT NULL\n);\n-- could index by name if we have a lot of teams, current plans for only ~4\n\nDROP TABLE IF EXISTS team_ephemera;\nCREATE TABLE team_ephemera (\n       snapshot_id NOT NULL,\n       team_id NOT NULL,\n       score INTEGER NOT NULL default 0,\n       PRIMARY KEY (snapshot_id, team_id),\n       FOREIGN KEY(snapshot_id) REFERENCES game_snapshots(id),\n       FOREIGN KEY(team_id) REFERENCES teams(id)\n); -- add WITHOUT ROWID if using sqlite >=3.8.2\n\nDROP TABLE IF EXISTS bounds_types;\nCREATE TABLE bounds_types (\n       id INTEGER PRIMARY KEY AUTOINCREMENT,\n       name TEXT UNIQUE NOT NULL\n);\nINSERT INTO bounds_types(name) VALUES ('rect'), ('poly');\n\nDROP TABLE IF EXISTS bounds_vertex_lists;\nCREATE TABLE bounds_vertex_lists (\n       id INTEGER PRIMARY KEY AUTOINCREMENT,\n       bounds_type INTEGER NOT NULL,\n       FOREIGN KEY(bounds_type) REFERENCES bounds_types(id)\n);\n\nDROP TABLE IF EXISTS bounds_vertices;\nCREATE TABLE bounds_vertices (\n       id INTEGER PRIMARY KEY AUTOINCREMENT,\n       x INTEGER NOT NULL,\n       y INTEGER NOT NULL,\n       list_id INTEGER NOT NULL,\n       list_rank INTEGER NOT NULL,\n       FOREIGN KEY(list_id) REFERENCES bounds_vertex_lists(id)\n);\nDROP INDEX IF EXISTS vertex_list_idx;\nCREATE INDEX vertex_list_idx ON bounds_vertices(list_id, list_rank);\n\nDROP TABLE IF EXISTS locations;\nCREATE TABLE locations (\n       id INTEGER PRIMARY KEY AUTOINCREMENT,\n       name TEXT UNIQUE NOT NULL,\n       bounds_list_id INTEGER NOT NULL,\n       FOREIGN KEY(bounds_list_id) REFERENCES bounds_vertex_lists(id)\n);\n\nDROP TABLE IF EXISTS location_ephemera;\nCREATE TABLE location_ephemera (\n       location_id INTEGER NOT NULL,\n       snapshot_id INTEGER NOT NULL,\n       controlling_team_id INTEGER,\n       mob_count INTEGER NOT NULL default 0,\n       PRIMARY KEY(snapshot_id, location_id),\n       FOREIGN KEY(location_id) REFERENCES locations(id),\n       FOREIGN KEY(snapshot_id) REFERENCES game_snapshots(id),\n       FOREIGN KEY(controlling_team_id) REFERENCES teams(id)\n); -- add WITHOUT ROWID if using sqlite >=3.8.2\n\nDROP TABLE IF EXISTS players;\nCREATE TABLE players (\n       id INTEGER PRIMARY KEY AUTOINCREMENT,\n       amd_user_id INTEGER UNIQUE NOT NULL,\n       display_name TEXT,\n       team_id INTEGER,\n       score INTEGER,\n       FOREIGN KEY(team_id) REFERENCES teams(id)\n);\nDROP INDEX IF EXISTS player_amd_idx;\nCREATE UNIQUE INDEX player_amd_idx ON players(amd_user_id);\n"}
{"doc_id": "05a87807aead44a6eaf344d18268c1a2", "text": "CREATE TABLE list_meta_question\n(\n  list_id INTEGER NOT NULL,\n  list_entry_id integer NOT NULL,\n  question_id bigint NOT NULL,\n  CONSTRAINT list_meta_question_pkey PRIMARY KEY (question_id, list_entry_id),\n  CONSTRAINT list_meta_question_list FOREIGN KEY (list_id)\n      REFERENCES list (id)\n      ON UPDATE NO ACTION ON DELETE NO ACTION,\n  CONSTRAINT list_meta_question_fki_list_entry FOREIGN KEY (list_entry_id)\n      REFERENCES list_entry (id) MATCH SIMPLE\n      ON UPDATE CASCADE ON DELETE CASCADE,\n  CONSTRAINT list_meta_question_fki_question FOREIGN KEY (question_id)\n      REFERENCES question (id) MATCH SIMPLE\n      ON UPDATE CASCADE ON DELETE CASCADE\n)\nWITH (\n  OIDS=FALSE\n);\n\nCREATE INDEX list_meta_question_idx_list_entry\n  ON list_meta_question\n  USING btree\n  (list_entry_id);\n\nCREATE INDEX fki_list_meta_question_list_id ON list_meta_question(list_id);\n"}
{"doc_id": "05b1fbaab4ee5abf88ac47819b11d7a0", "text": "-- name: find-all\n-- Gets all of the users in the database\nSELECT * FROM spacon.users\nWHERE deleted_at IS NULL;\n\n-- name: count-all\n-- Gets the total number of users\nSELECT COUNT(*) FROM spacon.users\nWHERE deleted_at IS NULL;\n\n-- name: find-by-id\n-- Gets a user by the id\nSELECT * FROM spacon.users\nWHERE id = :id AND deleted_at IS NULL;\n\n-- name: find-by-email\n-- Gets a user by the name\nSELECT * FROM spacon.users\nWHERE email = :email AND deleted_at IS NULL;\n\n-- name: create<!\n-- Creates a new user and returns it with a db-generated id\nINSERT INTO spacon.users (name,email,password)\nVALUES (:name,:email,:password)\nON CONFLICT (email)\nDO UPDATE SET name = :name, password = :password;\n\n-- name: add-team<!\n-- Creates a new record in the user_team join table\nINSERT INTO spacon.user_team (user_id,team_id)\nVALUES (:user_id,:team_id);\n\n-- name: remove-team<!\n-- Removes a record in the user_team join table\nDELETE FROM spacon.user_team\nWHERE user_id = :user_id AND team_id = :team_id;\n\n-- name: find-teams\n-- Gets the teams for a given user\nSELECT ut.team_id AS id, t.name FROM spacon.user_team ut\nINNER JOIN spacon.teams t ON ut.team_id = t.id\nWHERE ut.user_id = :user_id;\n\n-- name: delete!\n-- Deletes a user\nUPDATE spacon.users SET deleted_at = NOW() WHERE id = :id;\n"}
{"doc_id": "05b59d6073650a25e1c2356a146add9b", "text": "\n/* Weather Observation Station 11   MySQL */\nSELECT DISTINCT CITY\nFROM STATION\nWHERE LEFT(CITY, 1) NOT IN ('A', 'E', 'I', 'O', 'U') \nOR RIGHT(CITY, 1) NOT IN ('a', 'e', 'i', 'o', 'u');\n\n/* Weather Observation Station 12   MySQL  */\nSELECT DISTINCT CITY\nFROM STATION\nWHERE LEFT(CITY, 1) NOT IN ('A', 'E', 'I', 'O', 'U') \nAND RIGHT(CITY, 1) NOT IN ('a', 'e', 'i', 'o', 'u');\n\n\nSELECT DISTINCT CITY\nFROM STATION\nWHERE REGEXP_LIKE(CITY, '^[^aeiou].*[^aeiou]$', 'i');\n\n/*  \n^\ub294 \uccab\uae00\uc790,  $\ub294 \ub05d\uae00\uc790\ub97c \uc758\ubbf8\ud568\n[...]  \ub294 \uad04\ud638 \uc548 \ubaa8\ub4e0 \uae00\uc790\uc5d0 \ud574\ub2f9\ud55c\ub2e4\ub294 \ub73b\n[^...] \ub294 \uad04\ud638 \uc548 \ubaa8\ub4e0 \uae00\uc790\uc5d0 \ud574\ub2f9\ud558\uc9c0 \uc54a\ub294\ub2e4\ub294 \ub73b.\n. \uae00\uc790 1\uac1c\n* 0\uac1c \uc774\uc0c1\uc758 \uae00\uc790 \n\n\ucc38\uace0 https://www.tutorialspoint.com/mysql/mysql-regexps.htm  */\n\n\n/* The Blunder  MySQL */\nSELECT CEIL(AVG(SALARY)-AVG(REPLACE(SALARY, '0', '')))\nFROM EMPLOYEES ;\n\n/* \ud3c9\uade0 \uc6d4\uae09 \uad6c\ud558\uae30. \ub2e8, \uc22b\uc790 0\uc744 \uc804\ubd80 \uc9c0\uc6b4 \uc22b\uc790\ub85c \uacc4\uc0b0\ud558\uae30. \uc62c\ub9bc. \n\nREPLACE('\ubb38\uc790\uc5f4' OR \uc5f4 \uc774\ub984, '\ubc14\uafb8\ub824\ub294 \ubb38\uc790\uc5f4', '\ubc14\ub014 \ubb38\uc790\uc5f4') \nCEIL() \uc62c\ub9bc \ud568\uc218 \n\n */\n\n\n/*  Asian Population   MySQL  */\nSELECT SUM(CITY.POPULATION)\nFROM CITY\nJOIN COUNTRY\nON CITY.COUNTRYCODE = COUNTRY.CODE\nWHERE COUNTRY.CONTINENT = 'Asia';\n\n\n/* JOIN \ucc38\uace0 \n https://www.geeksforgeeks.org/sql-join-set-1-inner-left-right-and-full-joins/ */ \n\n\n/* Type of Triangle  */ \n\n/* \uc0bc\uac01\ud615\uc774 \uc544\ub2cc \uac83\ubd80\ud130 \uac78\ub7ec\ub0b8\ub2e4. \n\uc0bc\uac01\ud615\uc744 \ub9cc\uc871\uc2dc\ud0a4\ub418, \ub450 \ubcc0\uc774 \uac19\uc73c\uba74, \ub098\uba38\uc9c0 \ud55c \ubcc0\uae4c\uc9c0 \ub611\uac19\uc740 \uac83\uc774\ub2c8\uae4c  'Equilateral'  */\nSELECT CASE \n\t\tWHEN A+B <= C OR B+C <= A OR A+C <= B  THEN  'Not A Triangle'\n\t\tWHEN A=B AND B=C THEN 'Equilateral'\n\t\tWHEN A=B OR B=C OR A=C THEN 'Isosceles'\n\t\tELSE 'Scalene'\n\tEND\nFROM TRIANGLES;\n\n\n"}
{"doc_id": "05d47ade3ee4df5b14d6fd3b35b5bbd5", "text": "DROP TABLE IF EXISTS versions;\nDROP TABLE IF EXISTS jobs;\n\nCREATE TABLE versions (\n    version INT UNSIGNED,\n    PRIMARY KEY (version)\n) ENGINE=InnoDB;\n\nINSERT INTO versions (version) VALUES (0);\n\nCREATE TABLE jobs (\n    /* pkey */\n    id BIGINT UNSIGNED AUTO_INCREMENT,\n    PRIMARY KEY (id),\n        \n    /* The cell we're copying the volume from. */\n    src_cell VARCHAR(255) NOT NULL,\n    INDEX(src_cell),\n\n    /* The cell we're copying to. */\n    dst_cell VARCHAR(255) NOT NULL,\n    INDEX(dst_cell),\n\n    /* The name of the volume we're copying. */\n    volname VARCHAR(255) NOT NULL,\n\n    /* The 'Last Update' time for the volume in the destination cell, if we are\n     * configured to use incremental dumps. */\n    vol_lastupdate BIGINT NOT NULL DEFAULT 0,\n\n    /* What queue this job is for. */\n    qname VARCHAR(255) NOT NULL,\n    \n    /* dataversion for the row. this helps ensure that only one process will\n     * handle a job at a time. */\n    dv INT UNSIGNED NOT NULL,\n\n    /* the number of times this job has encountered a fatal error. this can\n     * happen multiple times, since a job can be retried after it has error'd\n     * out (up to a limit). */\n    errors INT UNSIGNED NOT NULL DEFAULT 0,\n\n    /* state that the job is in, e.g. NEW, DUMPING, etc. */\n    state VARCHAR(255) NOT NULL,\n    INDEX(state),\n\n    /* if this job has a reset pending (because a stage failed), we need to\n     * keep track of the last 'good' state, so we know what state to reset\n     * the job to. store that here. */\n    last_good_state VARCHAR(255),\n\n    /* Hostname holding a dump, when a dump host has finished dumping the vol */\n    dump_fqdn VARCHAR(255),\n\n    /* Method via which we can retrieve the dump from dump_fqdn (e.g. \"remctl\") */\n    dump_method VARCHAR(255),\n\n    /* Port to use with the above method. */\n    dump_port INT UNSIGNED,\n\n    /* filename the dump is in on the 'dump' host */\n    dump_filename VARCHAR(255),\n\n    /* filename the dump is in on the 'restore' host */\n    restore_filename VARCHAR(255),\n\n    /* checksum for the dump blob. this should be of the form e.g.\n     * \"MD5:ca425b88f047ce8ec45ee90e813ada91\"\n     * which could be more space-efficient, but who cares. note that this does\n     * not need to be a cryptographically-secure hash; we just want to detect\n     * errors and computation of this should be fast. */\n    dump_checksum VARCHAR(255),\n\n    /* Size of the dump */\n    dump_filesize BIGINT UNSIGNED,\n\n    /* The time this job was created. */\n    ctime DATETIME NOT NULL,\n\n    /* The last time this job was touched. */\n    mtime DATETIME NOT NULL,\n\n    /* How soon the current stage thinks it will provide an update, in X\n     * seconds from now. If this amount of time has passed, this is flagged as\n     * an error and the job is possibly dead or is hanging on something. A NULL\n     * timeout means the last stage doesn't control the next update (it's\n     * passing it off to the next stage), so we don't know what an applicable\n     * timeout is. */\n    timeout INT UNSIGNED,\n\n    /* The hostname that last updated this job. */\n    status_fqdn VARCHAR(255),\n\n    /* Human-readable description of the status of what's going on with the\n     * current stage in this job. */\n    description TEXT NOT NULL,\n\n    /* Only allow one job for per volume-sync. This means that if a volume\n     * gets 'stuck' or errored while syncing, we won't try to start a new sync\n     * until the old one is deleted or restarted/finished/etc. That is, we\n     * won't have multiple syncs for the same volume in flight at once. */\n    UNIQUE KEY dst_cell_volname_unique (dst_cell, volname)\n) ENGINE=InnoDB;\n\n/* Create a copy of the 'jobs' table that is used for archiving completed jobs.\n * This is identical to the jobs table, except we are allowed to have duplicate\n * pairs of (dst_cell, volname). */\nCREATE TABLE jobshist LIKE jobs;\nALTER TABLE jobshist DROP INDEX dst_cell_volname_unique;\n"}
{"doc_id": "05dc8854b681a7ca67cb029fefc602f5", "text": "-- Project Table\nCREATE TABLE `project` (\n  `project_id` int(11) NOT NULL AUTO_INCREMENT,\n  `project_name` varchar(50) COLLATE utf8_unicode_ci DEFAULT NULL,\n  `project_key` varchar(10) COLLATE utf8_unicode_ci DEFAULT NULL,\n  `project_description` varchar(300) COLLATE utf8_unicode_ci DEFAULT NULL,\n  `created_date` datetime DEFAULT CURRENT_TIMESTAMP,\n  `created_by` varchar(45) COLLATE utf8_unicode_ci DEFAULT NULL,\n  PRIMARY KEY (`project_id`),\n  UNIQUE KEY `project_key_UNIQUE` (`project_key`),\n  UNIQUE KEY `project_name_UNIQUE` (`project_name`)\n);\n\n-- User Table\nCREATE TABLE `user` (\n  `id` int(11) NOT NULL AUTO_INCREMENT,\n  `username` varchar(45) COLLATE utf8_unicode_ci NOT NULL,\n  `password` varchar(200) COLLATE utf8_unicode_ci NOT NULL,\n  `isadmin` int(11) DEFAULT '0',\n  `firstname` varchar(45) COLLATE utf8_unicode_ci DEFAULT NULL,\n  `lastname` varchar(45) COLLATE utf8_unicode_ci DEFAULT NULL,\n  `phone` varchar(20) COLLATE utf8_unicode_ci DEFAULT NULL,\n  PRIMARY KEY (`id`)\n);\n\n-- projectusers table\nCREATE TABLE `projectusers` (\n  `project_id` int(11) NOT NULL,\n  `user_id` int(11) NOT NULL,\n  PRIMARY KEY (`user_id`,`project_id`),\n  KEY `fk_project_id_idx` (`project_id`),\n  CONSTRAINT `fk_project` FOREIGN KEY (`project_id`) REFERENCES `project` (`project_id`) ON DELETE CASCADE ON UPDATE CASCADE,\n  CONSTRAINT `fk_user_id` FOREIGN KEY (`user_id`) REFERENCES `user` (`id`) ON DELETE CASCADE ON UPDATE CASCADE\n);\n\n-- label table\nCREATE TABLE `label` (\n  `label_id` int(11) NOT NULL AUTO_INCREMENT,\n  `label_name` varchar(45) COLLATE utf8_unicode_ci NOT NULL,\n  PRIMARY KEY (`label_id`)\n);\n\n\n-- projectlabels table\nCREATE TABLE `projectlabels` (\n  `project_id` int(11) NOT NULL,\n  `label_id` int(11) NOT NULL,\n  PRIMARY KEY (`project_id`,`label_id`),\n  KEY `f_label_id_idx` (`label_id`),\n  CONSTRAINT `f_label_id` FOREIGN KEY (`label_id`) REFERENCES `label` (`label_id`) ON DELETE NO ACTION ON UPDATE CASCADE,\n  CONSTRAINT `f_project_id` FOREIGN KEY (`project_id`) REFERENCES `project` (`project_id`) ON DELETE CASCADE ON UPDATE NO ACTION\n);\n\n-- resolution table\nCREATE TABLE `resolution` (\n  `resolution_id` int(11) NOT NULL AUTO_INCREMENT,\n  `resolution_name` varchar(45) COLLATE utf8_unicode_ci DEFAULT NULL,\n  PRIMARY KEY (`resolution_id`)\n);\n\n-- status table\nCREATE TABLE `status` (\n  `status_id` int(11) NOT NULL AUTO_INCREMENT,\n  `status_name` varchar(20) COLLATE utf8_unicode_ci NOT NULL,\n  PRIMARY KEY (`status_id`)\n) ;\n\n\n-- issue table\nCREATE TABLE `issue` (\n  `issue_id` int(11) NOT NULL AUTO_INCREMENT,\n  `summary` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,\n  `description` varchar(4000) COLLATE utf8_unicode_ci DEFAULT NULL,\n  `reported_by` int(11) DEFAULT NULL,\n  `reported_date` datetime DEFAULT CURRENT_TIMESTAMP,\n  `assigned_to` int(11) DEFAULT NULL,\n  `status` int(11) DEFAULT NULL,\n  `priority` varchar(2) COLLATE utf8_unicode_ci DEFAULT NULL,\n  `modified_on` date DEFAULT NULL,\n  `modified_by` int(11) DEFAULT NULL,\n  `project_id` int(11) DEFAULT NULL,\n  `resolution_id` int(11) DEFAULT NULL,\n  `label` int(11) DEFAULT NULL,\n  PRIMARY KEY (`issue_id`),\n  KEY `fk_status_id_idx` (`status`),\n  KEY `fk_status_idx` (`status`),\n  KEY `project_id_idx` (`project_id`),\n  KEY `fk_resolution_id_idx` (`resolution_id`),\n  KEY `f_label_idx` (`label`),\n  KEY `assigned_to_idx` (`assigned_to`),\n  KEY `reported_by_idx` (`reported_by`),\n  CONSTRAINT `assigned_to` FOREIGN KEY (`assigned_to`) REFERENCES `projectusers` (`user_id`) ON DELETE SET NULL ON UPDATE CASCADE,\n  CONSTRAINT `f_label` FOREIGN KEY (`label`) REFERENCES `projectlabels` (`label_id`) ON DELETE SET NULL ON UPDATE CASCADE,\n  CONSTRAINT `fk_project_id` FOREIGN KEY (`project_id`) REFERENCES `project` (`project_id`),\n  CONSTRAINT `fk_resolution_id` FOREIGN KEY (`resolution_id`) REFERENCES `resolution` (`resolution_id`) ON DELETE SET NULL ON UPDATE CASCADE,\n  CONSTRAINT `fk_status` FOREIGN KEY (`status`) REFERENCES `status` (`status_id`) ON DELETE SET NULL ON UPDATE CASCADE,\n  CONSTRAINT `reported_by` FOREIGN KEY (`reported_by`) REFERENCES `projectusers` (`user_id`) ON DELETE SET NULL ON UPDATE CASCADE\n);\n\n-- comment table\nCREATE TABLE `comment` (\n  `comment_id` int(11) NOT NULL AUTO_INCREMENT,\n  `comment_text` varchar(500) COLLATE utf8_unicode_ci DEFAULT NULL,\n  `issue_id` int(11) DEFAULT NULL,\n  `user_id` int(11) DEFAULT NULL,\n  `created_date_time` datetime DEFAULT CURRENT_TIMESTAMP,\n  PRIMARY KEY (`comment_id`),\n  KEY `fk_issue_id_idx` (`issue_id`),\n  KEY `fk_user_id_idx` (`user_id`),\n  KEY `ix_user_id_idx` (`user_id`),\n  CONSTRAINT `f_user_id` FOREIGN KEY (`user_id`) REFERENCES `projectusers` (`user_id`) ON DELETE CASCADE ON UPDATE CASCADE,\n  CONSTRAINT `fk_issue_id` FOREIGN KEY (`issue_id`) REFERENCES `issue` (`issue_id`) ON DELETE CASCADE ON UPDATE CASCADE\n);\n"}
{"doc_id": "05eaa53249ef794b5eac4c07db33af23", "text": "-- https://dba.stackexchange.com/a/148326/68127\n    select \n       S.name AS JobName,\n       SS.name AS ScheduleName,                    \n       CASE(SS.freq_type)\n            WHEN 1  THEN 'Once'\n            WHEN 4  THEN 'Daily'\n            WHEN 8  THEN (case when (SS.freq_recurrence_factor > 1) then  'Every ' + convert(varchar(3),SS.freq_recurrence_factor) + ' Weeks'  else 'Weekly'  end)\n            WHEN 16 THEN (case when (SS.freq_recurrence_factor > 1) then  'Every ' + convert(varchar(3),SS.freq_recurrence_factor) + ' Months' else 'Monthly' end)\n            WHEN 32 THEN 'Every ' + convert(varchar(3),SS.freq_recurrence_factor) + ' Months' -- RELATIVE\n            WHEN 64 THEN 'SQL Startup'\n            WHEN 128 THEN 'SQL Idle'\n            ELSE '??'\n        END AS Frequency,  \n       CASE\n            WHEN (freq_type = 1)                       then 'One time only'\n            WHEN (freq_type = 4 and freq_interval = 1) then 'Every Day'\n            WHEN (freq_type = 4 and freq_interval > 1) then 'Every ' + convert(varchar(10),freq_interval) + ' Days'\n            WHEN (freq_type = 8) then (select 'Weekly Schedule' = MIN(D1+ D2+D3+D4+D5+D6+D7 )\n                                        from (select SS.schedule_id,\n                                                        freq_interval, \n                                                        'D1' = CASE WHEN (freq_interval & 1  <> 0) then 'Sun ' ELSE '' END,\n                                                        'D2' = CASE WHEN (freq_interval & 2  <> 0) then 'Mon '  ELSE '' END,\n                                                        'D3' = CASE WHEN (freq_interval & 4  <> 0) then 'Tue '  ELSE '' END,\n                                                        'D4' = CASE WHEN (freq_interval & 8  <> 0) then 'Wed '  ELSE '' END,\n                                                    'D5' = CASE WHEN (freq_interval & 16 <> 0) then 'Thu '  ELSE '' END,\n                                                        'D6' = CASE WHEN (freq_interval & 32 <> 0) then 'Fri '  ELSE '' END,\n                                                        'D7' = CASE WHEN (freq_interval & 64 <> 0) then 'Sat '  ELSE '' END\n                                                    from msdb..sysschedules ss\n                                                where freq_type = 8\n                                            ) as F\n                                        where schedule_id = SJ.schedule_id\n                                    )\n            WHEN (freq_type = 16) then 'Day ' + convert(varchar(2),freq_interval) \n            WHEN (freq_type = 32) then (select  freq_rel + WDAY \n                                        from (select SS.schedule_id,\n                                                        'freq_rel' = CASE(freq_relative_interval)\n                                                                    WHEN 1 then 'First'\n                                                                    WHEN 2 then 'Second'\n                                                                    WHEN 4 then 'Third'\n                                                                    WHEN 8 then 'Fourth'\n                                                                    WHEN 16 then 'Last'\n                                                                    ELSE '??'\n                                                                    END,\n                                                    'WDAY'     = CASE (freq_interval)\n                                                                    WHEN 1 then ' Sun'\n                                                                    WHEN 2 then ' Mon'\n                                                                    WHEN 3 then ' Tue'\n                                                                    WHEN 4 then ' Wed'\n                                                                    WHEN 5 then ' Thu'\n                                                                    WHEN 6 then ' Fri'\n                                                                    WHEN 7 then ' Sat'\n                                                                    WHEN 8 then ' Day'\n                                                                    WHEN 9 then ' Weekday'\n                                                                    WHEN 10 then ' Weekend'\n                                                                    ELSE '??'\n                                                                    END\n                                                from msdb..sysschedules SS\n                                                where SS.freq_type = 32\n                                                ) as WS \n                                        where WS.schedule_id = SS.schedule_id\n                                        ) \n        END AS Interval,\n        CASE (freq_subday_type)\n            WHEN 1 then   left(stuff((stuff((replicate('0', 6 - len(active_start_time)))+ convert(varchar(6),active_start_time),3,0,':')),6,0,':'),8)\n            WHEN 2 then 'Every ' + convert(varchar(10),freq_subday_interval) + ' seconds'\n            WHEN 4 then 'Every ' + convert(varchar(10),freq_subday_interval) + ' minutes'\n            WHEN 8 then 'Every ' + convert(varchar(10),freq_subday_interval) + ' hours'\n            ELSE '??'\n        END AS [Time],\n        CASE SJ.next_run_date\n            WHEN 0 THEN cast('n/a' as char(10))\n            ELSE convert(char(10), convert(datetime, convert(char(8),SJ.next_run_date)),120)  + ' ' + left(stuff((stuff((replicate('0', 6 - len(next_run_time)))+ convert(varchar(6),next_run_time),3,0,':')),6,0,':'),8)\n        END AS NextRunTime\nfrom msdb.dbo.sysjobs S\nleft join msdb.dbo.sysjobschedules SJ on S.job_id = SJ.job_id  \nleft join msdb.dbo.sysschedules SS on SS.schedule_id = SJ.schedule_id\norder by S.name"}
{"doc_id": "05f6aafbfd3726ca2dd7bb83b47e2d74", "text": "UPDATE\tParticipantForSeries \nSET\tParticipantForSeries.EligibilityForEvent = '%d' \nWHERE\tParticipantForSeries.SeriesID = %d \nAND\tParticipantForSeries.PersonID IN (\n\t\t\t\t\n\tSELECT \tResults.PersonID \n\tFROM \tParticipantForSeries, \n\t\tResults, \n\t\tEvent  \n\tWHERE \tParticipantForSeries.PersonID = Results.PersonID AND \n\t\tParticipantForSeries.SeriesID = Results.SeriesID AND \n\t\tResults.EventID = Event.EventID AND\n\t\t(Results.SeriesID = %d) AND\n\t\t(Event.EventNo BETWEEN (%d - %d) AND (%d) )\n\t\t%s\n\tGROUP BY Results.PersonID\n\tHAVING COUNT(EventNo) %s\n\n)\n"}
{"doc_id": "05f8bf3886fc6229c912bf72cc09daf8", "text": "CREATE TABLE tezos.nft_contracts\n(\n    id integer constraint nft_contracts_pkey primary key,\n    name  varchar,\n    contract_type  varchar,\n    account_id  varchar,\n    swap_contract varchar,\n    description  varchar,\n    ledger_big_map integer,\n    tokens_big_map integer,\n    operations_num integer,\n    last_height integer,\n    last_update_height integer\n);\n\ncreate unique index nft_contracts_account_id_uindex\n\ton nft_contracts (account_id);\n\ncreate unique index nft_contracts_ledger_big_map_uindex\n\ton tezos.nft_contracts (ledger_big_map);\n\ncreate unique index nft_contracts_tokens_big_map_uindex\n\ton tezos.nft_contracts (tokens_big_map);\n\nCREATE VIEW tezos.nft_contracts_view AS\nSELECT * FROM tezos.nft_contracts\n    LEFT JOIN\n    (SELECT big_map_id, count(1) nfts_number FROM tezos.big_map_contents GROUP BY big_map_id) s ON s.big_map_id = nft_contracts.tokens_big_map\nORDER BY id DESC;\n\nCREATE TABLE tezos.nft_tokens\n(\n  contract_id integer,\n  token_id integer,\n  name varchar,\n  description varchar,\n  decimals integer,\n  category varchar,\n  amount integer,\n  last_price numeric,\n  issued_by varchar,\n  is_for_sale boolean,\n  ipfs_source varchar,\n  created_at timestamp ,\n  last_active_at timestamp\n);\n\nalter table tezos.nft_tokens\n\tadd constraint nft_tokens_pk\n\t\tprimary key (contract_id, token_id);\n\nCREATE VIEW tezos.nft_tokens_ledger_view AS\nselect big_map_id, SPLIT_PART(key, ' ', 2) address, SPLIT_PART(key, ' ', 3) token_id, value from big_map_contents where value  :: integer > 0;"}
{"doc_id": "0606dacd79594027d3225e89730dd77d", "text": "-- id,product_id,rating,date,summary,body,recommend,reported,reviewer_name,reviewer_email,response,helpfulness\n\nCREATE TABLE IF NOT EXISTS reviews (\n  id BIGSERIAL NOT NULL,\n  _id INT NOT NULL,\n  product_id INT NOT NULL,\n  rating SMALLINT NOT NULL,\n  date TIMESTAMP NOT NULL,\n  summary VARCHAR(150) NOT NULL,\n  body VARCHAR(1000) NOT NULL,\n  recommend BOOLEAN NOT NULL,\n  reported BOOLEAN NOT NULL,\n  reviewer_name VARCHAR(60) NOT NULL,\n  reviewer_email VARCHAR(60) NOT NULL,\n  response VARCHAR(1000),\n  helpfulness INT NOT NULL,\n  PRIMARY KEY(id)\n);\n\nCOPY reviews(_id, product_id, rating, date, summary, body, recommend, reported, reviewer_name, reviewer_email, response, helpfulness)\nFROM '/Users/anna/HackReactor/SDC/reviewsapi/data/reviews.csv'\nDELIMITER ','\nCSV HEADER;\n\nCREATE TABLE IF NOT EXISTS photos (\n  id BIGSERIAL NOT NULL,\n  _id INT NOT NULL,\n  review_id INT NOT NULL,\n  url VARCHAR(200) NOT NULL,\n  PRIMARY KEY(id),\n  CONSTRAINT fk_review\n    FOREIGN KEY(review_id)\n      REFERENCES reviews(id)\n);\n\nCOPY photos(_id, review_id, url)\nFROM '/Users/anna/HackReactor/SDC/reviewsapi/data/reviews_photos.csv'\nDELIMITER ','\nCSV HEADER;\n\nCREATE TABLE IF NOT EXISTS characteristic_review (\n  id BIGSERIAL NOT NULL,\n  _id INT NOT NULL,\n  characteristic_id INT NOT NULL,\n  review_id INT NOT NULL,\n  value DECIMAL NOT NULL,\n  PRIMARY KEY(id),\n  CONSTRAINT fk_characteristic, fk_review\n    FOREIGN KEY(characteristic_id, review_id)\n      REFERENCES characteristics(id), reviews(id)\n);\n\nCOPY characteristics(_id, characteristic_id, review_id, value)\nFROM '/Users/anna/HackReactor/SDC/reviewsapi/data/characteristic_reviews.csv'\nDELIMITER ','\nCSV HEADER;\n\nCREATE TABLE IF NOT EXISTS characteristics (\n  id BIGSERIAL NOT NULL,\n  _id INT NOT NULL,\n  product_id INT NOT NULL,\n  name VARCHAR(10) NOT NULL,\n  PRIMARY KEY(id),\n  CONSTRAINT fk_product\n    FOREIGN KEY(product_id)\n      REFERENCES reviews(product_id)\n);\n\nid,product_id,name\n\nALTER TABLE reviews\nDROP COLUMN _id;\n\nDELETE FROM reviews\nWHERE (char_length(summary) < 60);\n\nALTER TABLE\nALTER COLUMN summary\nTYPE VARCHAR(60);\n\nDELETE FROM reviews\nWHERE (char_length(body) < 50);\n\nALTER TABLE reviews\nADD CONSTRAINT body_check\nCHECK (char_length(body) >= 50);\n\n\n"}
{"doc_id": "0618f8163a9184e7d78e4739aa3b54bc", "text": "-- this is a template to allow event_position entries to be created for an event on its creation\n\nCREATE TABLE race_position_template (\n    id bigint NOT NULL PRIMARY KEY,\n    name character varying(255) NOT NULL,\n    default_template boolean,\n    race_id bigint NOT NULL REFERENCES race (id)\n);\n\nALTER TABLE race_position_template ADD CONSTRAINT race_position_template_constraint UNIQUE (race_id, name);\n\nCREATE SEQUENCE race_position_template_id_sequence\n    START WITH 1\n    INCREMENT BY 1\n    NO MINVALUE\n    NO MAXVALUE\n    CACHE 1;\n\nCREATE TABLE race_position_template_entry (\n    id bigint NOT NULL PRIMARY KEY,\n    position_order integer NOT NULL,\n    template_id bigint NOT NULL REFERENCES race_position_template (id),\n    position_id bigint NOT NULL REFERENCES position (id)\n);\n\nCREATE SEQUENCE race_position_template_entry_sequence\n    START WITH 1\n    INCREMENT BY 1\n    NO MINVALUE\n    NO MAXVALUE\n    CACHE 1;\n\nALTER TABLE race_position_template_entry ADD CONSTRAINT race_position_template_entry_constraint UNIQUE (template_id, position_id);\nALTER TABLE race_position_template_entry ADD CONSTRAINT race_position_template_entry_order_constraint UNIQUE (template_id, position_id, position_order);\n"}
{"doc_id": "061af6bfe272f72f3ffc8e54aa4eec5a", "text": "/*SELECT STATEMENT*/\r\nSELECT last_name,first_name FROM actor; \r\nSELECT first_name, last_name, email FROM customer;\r\n\r\n/*SELECT DISTINCT- helps us find the unique values*/\r\nSELECT DISTINCT release_year FROM film;\r\nSELECT DISTINCT rental_rate FROM film;\r\nSELECT DISTINCT rating FROM film;\r\n\r\n/*SELECT COUNT function*/\r\nSELECT COUNT(DISTINCT(customer_id)) FROM payment; /* Returns a number representing the total number*/\r\nSELECT COUNT(DISTINCT(amount)) FROM payment;\r\n\r\n/* SELECT WHERE statement*/\r\nSELECT name FROM table WHERE name='david' AND choice='RED';\r\nSELECT * FROM customer WHERE first_name='Jared';\r\nSELECT * FROM film WHERE rental_rate>4 AND replacement_cost>=19.99 AND rating='R';\r\nSELECT * FROM film WHERE rating !='R';\r\nSELECT email FROM customer WHERE first_name='Nancy' AND last_name='Thomas';\r\n\r\n/*To find th total number of titles for the above condition, use SELECT COUNT statement*/\r\nSELECT COUNT(*) FROM film WHERE rental_rate>4 AND replacement_cost>=19.99 AND rating='R';\r\n\r\n/*ORDER BY statement*/\r\nSELECT column_1, column_2 FROM table_1 ORDER BY column_1 ASC /*Ordered In Ascending Order- DEFAULT CASE*/ \r\nSELECT column_1, column_2 FROM table_1 ORDER BY column_1 DESC /*Ordered in Descending Order*/\r\nSELECT column_1, column_2 FROM table_1 ORDER BY column_1,column_2 /*Orders first by column_1 and then according to column 2*/\r\n\r\nSELECT store_id,first_name, last_name FROM customer\r\nORDER BY store_id DESC,first_name ASC /*you can choose to not SELECT coulmns and ORDER according to it*/\r\n\r\n\r\n/*LIMIT statement*/\r\n/*We can have the SQL queries in multiple lines*/\r\nSELECT * FROM payment\r\nWHERE amount !=0.00\r\nORDER BY payment_date DESC \r\nLIMIT 5       /* Limits the top 5 values only*/\r\n\r\n/*EXAMPLE 1- First 10 paying customers*/\r\nSELECT * FROM payment\r\nWHERE amount!=0\r\nORDER BY payment_date ASC\r\nLIMIT 10;\r\n\r\n\r\n/*EXAMPLE 2- Top 5 Shortest films {length is a sequel keyword}*/\r\nSELECT * FROM film\r\nORDER BY length ASC\r\nLIMIT 5;\r\n\r\n/*EXAMPLE 3- movies lesser than or equal to 50mins*/\r\nSELECT COUNT (*) FROM film\r\nWHERE length<=50\r\n\r\n/*BETWEENand NOT BETWEEN statement*/\r\n/*ex1*/\r\nSELECT * FROM payment\r\nWHERE amount BETWEEN 8 AND 9;\r\n/*ex2*/\r\nSELECT * FROM payment\r\nWHERE payment_date BETWEEN '2007-02-01' AND '2007-02-14'/*2007-02-14 is not included*/\r\n\r\n\r\n/* IN statement */\r\nSELECT COUNT (*) FROM payment\r\nWHERE amount IN (0.99,1.98,1.99);\r\n\r\n/* NOT IN statement */\r\nSELECT COUNT (*) FROM payment\r\nWHERE amount NOT IN (0.99,1.98,1.99);\r\n\r\n\r\n\r\n/*LIKE operator   %->for charaacters[WILDCARD starting or ending] ;    _ -> replace character[WILDCARD character]   */\r\nSELECT * FROM customer\r\nWHERE first_name LIKE 'J%' AND last_name LIKE 'J%'\r\n/*LIKE is case sesnsitive, ILIKE is case insensitive*/\r\nSELECT * FROM customer\r\nWHERE first_name ILIKE 'j%' AND last_name ILIKE 'j%'\r\n\r\n\r\n/*ex1*/\r\nSELECT * FROM customer\r\nWHERE first_name LIKE '%her%'\r\n/*ex2*/\r\nSELECT * FROM customer\r\nWHERE first_name LIKE '_her%'\r\n/*ex3*/\r\nSELECT * FROM customer\r\nWHERE first_name NOT LIKE '%her%'\r\n/*ex4*/\r\nSELECT * FROM customer\r\nWHERE first_name LIKE 'A%'\r\nORDER BY last_name\r\n/*ex5*/\r\nSELECT * FROM customer\r\nWHERE first_name LIKE 'A%' AND NOT LIKE 'B%'\r\nORDER BY last_name\r\n\r\n"}
{"doc_id": "062331bc5580adabfc428d00a9462e4e", "text": "DROP VIEW IF EXISTS `v_reference`;\nCREATE VIEW `v_reference` AS\n  SELECT\n    page.page_id,\n    page.page_title,\n    (SELECT page_id\n     FROM page\n     WHERE\n       page.page_title = pagelinks.pl_title AND page.page_namespace = pagelinks.pl_from_namespace) AS page_reference_id,\n    pagelinks.pl_title                                                                             AS page_reference_title\n  FROM page\n    LEFT JOIN (pagelinks) ON (page.page_id = pagelinks.pl_from)\n  # We only care about the 'Main'/'Content' namespace, the rest is ignored\n  WHERE (page.page_namespace = 0) AND (pagelinks.pl_from_namespace = 0)\n        AND (pagelinks.pl_title IS NOT NULL);\n\n# We 'materialize' it in order to further improve the access speed (eliminate sub-query and add indexing).\n# We also drop the empty titles and IDs, since those refer to the 'Create missing entry' page.\nDROP TABLE IF EXISTS `references`;\nCREATE TABLE `references` AS\n  SELECT *\n  FROM v_reference WHERE page_reference_id IS NOT NULL AND page_reference_title IS NOT NULL;\n\nDROP INDEX IF EXISTS `idx_references` ON `references`;\nCREATE INDEX `idx_references`\n  ON `references` (page_id, page_title)\n  ALGORITHM DEFAULT LOCK = NONE;\n\nDROP VIEW IF EXISTS `v_top_referred`;\nCREATE VIEW `v_top_referred` AS\n  SELECT\n    page_reference_id,\n    COUNT(*) AS num_referals\n  FROM `references`\n  WHERE page_reference_id IS NOT NULL\n  GROUP BY page_reference_id\n  ORDER BY num_referals DESC;\n"}
{"doc_id": "063a079164bdbc18d9d103ee3aca87d3", "text": "--Chapter 8\r\n--Recipe 2\r\n\r\n--Getting ready\r\n--Step 1.\r\nCREATE SCHEMA chp08;\r\n\r\n--Step 2.\r\nogr2ogr -f PostgreSQL -s_srs EPSG:4269 -t_srs EPSG:4326 -lco GEOMETRY_NAME=the_geom -nln chp08.cities PG:\"dbname='postgis_cookbook' user='me' password='mypassword'\" -where \"POP_2000 > 100000\" citiesx020.shp\r\n\r\n--Step 3.\r\nALTER TABLE chp08.cities ADD COLUMN temperature real;\r\n\r\n--Step 4.\r\nsource postgis-cb-env/bin/activate\r\n\r\n\r\n--How to do it...\r\n\r\n--Step 1.\r\nCREATE TABLE chp08.wstations\r\n(\r\nid bigint NOT NULL,\r\nthe_geom geometry(Point,4326),\r\nname character varying(48),\r\ntemperature real,\r\nCONSTRAINT wstations_pk PRIMARY KEY (id )\r\n);\r\n\r\n\r\n--Step 4. get_weather_data.py:\r\nimport sys\r\nimport requests\r\nimport simplejson as json\r\nimport psycopg2\r\n\r\ndef GetWeatherData(lon, lat, key):\r\n    \"\"\"\r\n    Get the 10 closest weather stations data for a given point.\r\n    \"\"\"\r\n    # uri to access the JSON openweathermap web service\r\n    uri = (\r\n      'https://api.openweathermap.org/data/2.5/find?lat=%s&lon=%s&cnt=10&appid=%s'\r\n      % (lat, lon, key))\r\n    print 'Fetching weather data: %s' % uri\r\n    try:\r\n        data = requests.get(uri)\r\n        print 'request status: %s' % data.status_code\r\n        js_data = json.loads(data.text)\r\n        return js_data['list']\r\n    except:\r\n        print 'There was an error getting the weather data.'\r\n        print sys.exc_info()[0]\r\n        return []\r\n\r\ndef AddWeatherStation(station_id, lon, lat, name, temperature):\r\n    \"\"\"\r\n    Add a weather station to the database, but only if it does not already\r\n    exists.\r\n    \"\"\"\r\n    curws = conn.cursor()\r\n    curws.execute('SELECT * FROM chp08.wstations WHERE id=%s', (station_id,))\r\n    count = curws.rowcount\r\n    if count==0: # we need to add the weather station\r\n        curws.execute(\r\n            \"\"\"INSERT INTO chp08.wstations (id, the_geom, name, temperature)\r\n            VALUES (%s, ST_GeomFromText('POINT(%s %s)', 4326), %s, %s)\"\"\",\r\n            (station_id, lon, lat, name, temperature)\r\n        )\r\n        curws.close()\r\n        print 'Added the %s weather station to the database.' % name\r\n        return True\r\n    else: # weather station already in database\r\n        print 'The %s weather station is already in the database.' % name\r\n        return False\r\n\r\n# program starts here\r\n# get a connection to the database\r\nconn = psycopg2.connect('dbname=postgis_cookbook user=me password=password')\r\n# we do not need transaction here, so set the connection to autocommit mode\r\nconn.set_isolation_level(0)\r\n\r\n# open a cursor to update the table with weather data\r\ncur = conn.cursor()\r\n\r\n# iterate all of the cities in the cities PostGIS layer, and for each of them\r\n# grap the actual temperature from the closest weather station, and add the 10\r\n# closest stations to the city to the wstation PostGIS layer\r\ncur.execute(\"\"\"SELECT ogc_fid, name,\r\n    ST_X(the_geom) AS long, ST_Y(the_geom) AS lat FROM chp08.cities;\"\"\")\r\nfor record in cur:\r\n    ogc_fid = record[0]\r\n    city_name = record[1]\r\n    lon = record[2]\r\n    lat = record[3]\r\n    stations = GetWeatherData(lon, lat, 'YOURKEY')\r\n    print stations\r\n    for station in stations:\r\n        print station\r\n        station_id = station['id']\r\n        name = station['name']\r\n        # for weather data we need to access the 'main' section in the json\r\n        # 'main': {'pressure': 990, 'temp': 272.15, 'humidity': 54}\r\n        if 'main' in station:\r\n            if 'temp' in station['main']:\r\n                temperature = station['main']['temp']\r\n        else:\r\n            temperature = -9999 # in some case the temperature is not available\r\n        # \"coord\":{\"lat\":55.8622,\"lon\":37.395}\r\n        station_lat = station['coord']['lat']\r\n        station_lon = station['coord']['lon']\r\n        # add the weather station to the database\r\n        AddWeatherStation(station_id, station_lon, station_lat,\r\n            name, temperature)\r\n        # first weather station from the json API response is always the closest\r\n        # to the city, so we are grabbing this temperature and store in the\r\n        # temperature field in the cities PostGIS layer\r\n        if station_id == stations[0]['id']:\r\n          print 'Setting temperature to %s for city %s' % (\r\n                temperature, city_name)\r\n          cur2 = conn.cursor()\r\n          cur2.execute(\r\n                'UPDATE chp08.cities SET temperature=%s WHERE ogc_fid=%s',\r\n                (temperature, ogc_fid))\r\n            cur2.close()\r\n\r\n# close cursor, commit and close connection to database\r\ncur.close()\r\nconn.close()\r\n\r\n\r\n--Step 5.\t\r\npython get_weather_data.py\r\n"}
{"doc_id": "063f03a633bbf19fe4a5c2dfb523990e", "text": "/*\n * a) calculate top 25 most common 'makes'\n   b) calculate most common 'Color' for each 'Make' \n   c) find the first ticket issued for each 'Make'\n */\n-- a) calculate top 25 most common 'makes'\n-- 5.883 seconds\nselect \n  Make\n  , count(*) _count\nfrom vehicles\ngroup by Make\norder by _count DESC\nlimit 25;\n\n-- b) calculate most common 'Color' for each 'Make' \n-- 4.332s\n-- fun note - using QUALIFY with Snowflake would make this even faster :)\nselect\n  Make\n  , Color\nfrom (\n  select \n    Make\n    , Color\n    , ROW_NUMBER() OVER (PARTITION BY Make ORDER BY _count DESC) as color_rank\n  from ( \n    select \n      Make\n      , Color\n      , count(*) _count\n    from vehicles\n    group by Make, Color\n  )\n  where Color IS NOT NULL\n)\nwhere color_rank = 1;\n\n-- c) find the first ticket issued for each 'Make'\n-- 9.718s\nselect\n  Make\n  , \"Ticket number\"\n  , \"Issue Date\"\nfrom (\n  select \n    Make\n    , \"Ticket number\"\n    , \"Issue Date\"\n    , ROW_NUMBER() OVER (PARTITION BY Make ORDER BY \"Issue Date\") as ticket_rank\n  from vehicles\n)\nwhere ticket_rank = 1\norder by Make;"}
{"doc_id": "064925cc885905891ed3339864722bfa", "text": "CREATE TABLE #Codesets (\n  codeset_id int NOT NULL,\n  concept_id bigint NOT NULL\n)\n;\n\nINSERT INTO #Codesets (codeset_id, concept_id)\nSELECT 0 as codeset_id, c.concept_id FROM (select distinct I.concept_id FROM\n( \n  select concept_id from @cdm_database_schema.CONCEPT where concept_id in (432791)and invalid_reason is null\nUNION  select c.concept_id\n  from @cdm_database_schema.CONCEPT c\n  join @cdm_database_schema.CONCEPT_ANCESTOR ca on c.concept_id = ca.descendant_concept_id\n  and ca.ancestor_concept_id in (432791)\n  and c.invalid_reason is null\n\n) I\n) C;\n\nselect row_number() over (order by P.person_id, P.start_date) as event_id, P.person_id, P.start_date, P.end_date, OP.observation_period_start_date as op_start_date, OP.observation_period_end_date as op_end_date\nINTO #PrimaryCriteriaEvents\nFROM\n(\n  select P.person_id, P.start_date, P.end_date, ROW_NUMBER() OVER (PARTITION BY person_id ORDER BY start_date ASC) ordinal\n  FROM \n  (\n  select C.person_id, C.condition_start_date as start_date, COALESCE(C.condition_end_date, DATEADD(day,1,C.condition_start_date)) as end_date, C.CONDITION_CONCEPT_ID as TARGET_CONCEPT_ID\nfrom \n(\n        select co.*, ROW_NUMBER() over (PARTITION BY co.person_id ORDER BY co.condition_start_date) as ordinal\n        FROM @cdm_database_schema.CONDITION_OCCURRENCE co\nwhere co.condition_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 0)\n) C\n\n\n\n  ) P\n) P\nJOIN @cdm_database_schema.observation_period OP on P.person_id = OP.person_id and P.start_date between OP.observation_period_start_date and op.observation_period_end_date\nWHERE DATEADD(day,0,OP.OBSERVATION_PERIOD_START_DATE) <= P.START_DATE AND DATEADD(day,0,P.START_DATE) <= OP.OBSERVATION_PERIOD_END_DATE\n;\n\n\nSELECT event_id, person_id, start_date, end_date, op_start_date, op_end_date\nINTO #cohort_candidate\nFROM \n(\n  select RawEvents.*, row_number() over (partition by RawEvents.person_id order by RawEvents.start_date ASC) as ordinal\n  FROM\n  (\n    select pe.event_id, pe.person_id, pe.start_date, pe.end_date, pe.op_start_date, pe.op_end_date\n    FROM #PrimaryCriteriaEvents pe\n    \nJOIN (\nselect 0 as index_id, event_id\nFROM\n(\n  select event_id FROM\n  (\n    SELECT 0 as index_id, p.event_id\nFROM #PrimaryCriteriaEvents P\nLEFT JOIN\n(\n  select C.person_id, C.condition_start_date as start_date, COALESCE(C.condition_end_date, DATEADD(day,1,C.condition_start_date)) as end_date, C.CONDITION_CONCEPT_ID as TARGET_CONCEPT_ID\nfrom \n(\n        select co.*, ROW_NUMBER() over (PARTITION BY co.person_id ORDER BY co.condition_start_date) as ordinal\n        FROM @cdm_database_schema.CONDITION_OCCURRENCE co\nwhere co.condition_concept_id in (SELECT concept_id from  #Codesets where codeset_id = 0)\n) C\n\n\n\n) A on A.person_id = P.person_id and A.START_DATE BETWEEN P.OP_START_DATE AND P.OP_END_DATE AND A.START_DATE BETWEEN DATEADD(day,-30,P.START_DATE) and DATEADD(day,-1,P.START_DATE)\nGROUP BY p.event_id\nHAVING COUNT(A.TARGET_CONCEPT_ID) <= 0\n\n\n  ) CQ\n  GROUP BY event_id\n  HAVING COUNT(index_id) = 1\n) G\n) AC on AC.event_id = pe.event_id\n\n  ) RawEvents\n) Results\nWHERE Results.ordinal = 1\n;\n\ncreate table #inclusionRuleCohorts \n(\n  inclusion_rule_id bigint,\n  event_id bigint\n)\n;\n\n\nDELETE FROM @target_database_schema.@target_cohort_table where cohort_definition_id = @target_cohort_id;\nINSERT INTO @target_database_schema.@target_cohort_table (cohort_definition_id, subject_id, cohort_start_date, cohort_end_date)\nselect @target_cohort_id as cohort_definition_id, MG.person_id, MG.start_date, MG.end_date\nfrom\n(\n  select C.event_id, C.person_id, C.start_date, C.end_date, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask\n  from #cohort_candidate C\n  LEFT JOIN #inclusionRuleCohorts I on I.event_id = C.event_id\n  GROUP BY C.event_id, C.person_id, C.start_date, C.end_date\n) MG -- matching groups\n{0 != 0}?{\n-- the matching group with all bits set ( POWER(2,# of inclusion rules) - 1 = inclusion_rule_mask\nWHERE (MG.inclusion_rule_mask = POWER(cast(2 as bigint),0)-1)\n}\n;\n\n{0 != 0}?{\n-- calculte matching group counts\ndelete from @results_database_schema.cohort_inclusion_result where cohort_definition_id = @target_cohort_id;\ninsert into @results_database_schema.cohort_inclusion_result (cohort_definition_id, inclusion_rule_mask, person_count)\nselect @target_cohort_id as cohort_definition_id, inclusion_rule_mask, count(*) as person_count\nfrom\n(\n  select C.event_id, SUM(coalesce(POWER(cast(2 as bigint), I.inclusion_rule_id), 0)) as inclusion_rule_mask\n  from #cohort_candidate C\n  LEFT JOIN #inclusionRuleCohorts I on c.event_id = i.event_id\n  GROUP BY C.event_id\n) MG -- matching groups\ngroup by inclusion_rule_mask\n;\n\n-- calculate gain counts\ndelete from @results_database_schema.cohort_inclusion_stats where cohort_definition_id = @target_cohort_id;\ninsert into @results_database_schema.cohort_inclusion_stats (cohort_definition_id, rule_sequence, person_count, gain_count, person_total)\nselect ir.cohort_definition_id, ir.rule_sequence, coalesce(T.person_count, 0) as person_count, coalesce(SR.person_count, 0) gain_count, EventTotal.total\nfrom @results_database_schema.cohort_inclusion ir\nleft join\n(\n  select i.inclusion_rule_id, count(i.event_id) as person_count\n  from #cohort_candidate C\n  JOIN #inclusionRuleCohorts i on C.event_id = i.event_id\n  group by i.inclusion_rule_id\n) T on ir.rule_sequence = T.inclusion_rule_id\nCROSS JOIN (select count(*) as total_rules from @results_database_schema.cohort_inclusion where cohort_definition_id = @target_cohort_id) RuleTotal\nCROSS JOIN (select count(event_id) as total from #cohort_candidate) EventTotal\nLEFT JOIN @results_database_schema.cohort_inclusion_result SR on SR.cohort_definition_id = @target_cohort_id AND (POWER(cast(2 as bigint),RuleTotal.total_rules) - POWER(cast(2 as bigint),ir.rule_sequence) - 1) = SR.inclusion_rule_mask -- POWER(2,rule count) - POWER(2,rule sequence) - 1 is the mask for 'all except this rule' \nWHERE ir.cohort_definition_id = @target_cohort_id\n;\n\n-- calculate totals\ndelete from @results_database_schema.cohort_summary_stats where cohort_definition_id = @target_cohort_id;\ninsert into @results_database_schema.cohort_summary_stats (cohort_definition_id, base_count, final_count)\nselect @target_cohort_id as cohort_definition_id, \n(select count(event_id) as total from #cohort_candidate) as person_count,\ncoalesce((\n  select sr.person_count \n  from @results_database_schema.cohort_inclusion_result sr\n  CROSS JOIN (select count(*) as total_rules from @results_database_schema.cohort_inclusion where cohort_definition_id = @target_cohort_id) RuleTotal\n  where cohort_definition_id = @target_cohort_id and sr.inclusion_rule_mask = POWER(cast(2 as bigint),RuleTotal.total_rules)-1\n),0) as final_count\n;\n}\n\nTRUNCATE TABLE #inclusionRuleCohorts;\nDROP TABLE #inclusionRuleCohorts;\n\nTRUNCATE TABLE #cohort_candidate;\nDROP TABLE #cohort_candidate;\n\nTRUNCATE TABLE #PrimaryCriteriaEvents;\nDROP TABLE #PrimaryCriteriaEvents;\n\nTRUNCATE TABLE #Codesets;\nDROP TABLE #Codesets;\n\n"}
{"doc_id": "065ca8bad909b20a04c91efbe5a85ca2", "text": "-- Join & Aggregate functions: Calculate each customer\u2019s monetary balance by joining CUSTOMER_ACQUIRES_PACKAGES, PACKAGES and PAYMENT.\r\nSELECT PAYMENT.CustomerID, SUM(DISTINCT PAYMENT.PaymentAmount) AS \"Total Paid\", SUM(DISTINCT PACKAGES.PackagePrice) AS \"Total Purchased\", \r\n        SUM(DISTINCT PAYMENT.PaymentAmount) - SUM(DISTINCT PACKAGES.PackagePrice) AS \"Balance\" \r\n    FROM PAYMENT INNER JOIN CUSTOMER_ACQUIRES_PACKAGES \r\n    ON CUSTOMER_ACQUIRES_PACKAGES.CustomerID = PAYMENT.CustomerID \r\n    INNER JOIN PACKAGES ON PACKAGES.PackageID = CUSTOMER_ACQUIRES_PACKAGES.PackageID \r\n        GROUP BY PAYMENT.CustomerID;\r\n\r\n-- Anti join: Show customers that did not acquire any packages\r\nSELECT DISTINCT(CustomerID) AS \"Customers Without Packages\" FROM CUSTOMER \r\n    LEFT JOIN CUSTOMER_ACQUIRES_PACKAGES ON CUSTOMER.CustomerID = CUSTOMER_ACQUIRES_PACKAGES.CustomerID\r\n        WHERE PackageID = NULL;\r\n\r\n-- Window functions & create view: Querying customer data for RFM analysis (Recency, Monetary, and Frequency of purchases)\r\nCREATE VIEW CUSTOMER_RFM AS SELECT CustomerID,\r\n    SUM(PaymentAmount) OVER\r\n         (PARTITION BY CustomerID) AS \"Monetary Value\",\r\n    COUNT(PaymentID) OVER\r\n         (PARTITION BY CustomerID) AS \"Frequency Value\",\r\n    MAX(PaymentDate) OVER\r\n         (PARTITION BY CustomerID) AS \"Recency Value\"\r\n  FROM PAYMENT\r\n  ORDER BY \"Total Paid\";\r\n\r\n-- Nested query: Identify customers that attended events of 2 different types (Easy Stroll and Easy Peasy Hike).\r\nSELECT CustomerID, COUNT(CustomerID) AS \"Events Attended\", EventCategory FROM CUSTOMER_ATTENDS_EVENTS \r\n    WHERE (EventCategory = 'Easy Peasy Hike' AND CustomerID IN (SELECT CustomerID FROM CUSTOMER_ATTENDS_EVENTS WHERE EventCategory = 'Easy Stroll')) \r\n    OR (EventCategory = 'Easy Stroll' AND CustomerID IN (SELECT CustomerID FROM CUSTOMER_ATTENDS_EVENTS WHERE EventCategory = 'Easy Peasy Hike'))  \r\n        GROUP BY CustomerID, EventCategory;\r\n\r\n-- With Statement: Calculate each customer\u2019s event balance (events acquired \u2013 events attended), joining CUSTOMER_ATTENDS_EVENTS, CUSTOMER_ACQUIRES_PACKAGES and PACKAGES. Show customers with balance > 8.\r\nWITH Event_Balance(CustomerID, EventCategory, EventsAcquired, EventsAttended, Balance) AS\r\n            (SELECT CAP.CUSTOMERID, PKG.EVENTCATEGORY, SUM(DISTINCT PKG.NUMBEROFEVENTS), COUNT(DISTINCT CAE.EVENTCATEGORY),  \r\n            (SUM(DISTINCT PKG.NUMBEROFEVENTS) - COUNT(DISTINCT CAE.EVENTCATEGORY)) \r\n            FROM (CUSTOMER_ACQUIRES_PACKAGES CAP INNER JOIN PACKAGES PKG ON CAP.PACKAGEID = PKG.PACKAGEID)),\r\n    SELECT CustomerID, EventCategory, EventsAcquired, EventsAttended, Balance\r\n    FROM Event_Balance\r\n    ORDER BY Balance;\r\n\r\n-- Case Statement: Calculate taxes to be paid, considering year of payment.\r\nSELECT PaymentDate, PaymentID, PaymentAmount, \r\n    CASE\r\n        WHEN YEAR(PaymentDate) <= 2015 THEN PaymentAmount*0.2\r\n        WHEN YEAR(PaymentDate) <= 2017 THEN PaymentAmount*0.25\r\n        WHEN YEAR(PaymentDate) <= 2020 THEN PaymentAmount*0.3\r\n    END AS \"Total Taxes\" \r\n    FROM PAYMENT ORDER BY PaymentDate;\r\n\r\n-- Aggregation with substring: Show number of packages acquired by month to identify potential seasonality.\r\nSELECT SUBSTR(REGISTRATIONDATE,1,2) AS \"Month\", COUNT(CUSTOMERID) AS \"Packages Acquired\" \r\n    FROM CUSTOMER GROUP BY SUBSTR(REGISTRATIONDATE,1,2) \r\n        ORDER BY SUBSTR(REGISTRATIONDATE,1,2);\r\n\r\n-- Aggregation: Show photos to be sent for each customer, given their event attendance.\r\nSELECT CAE.CUSTOMERID, P.DIRECTORY AS \"Photos to Send\"\r\n    FROM PHOTO P INNER JOIN CUSTOMER_ATTENDS_EVENTS CAE ON P.EVENTDATE = CAE.EVENTDATE AND P.EVENTCATEGORY=CAE.EVENTCATEGORY\r\n        ORDER BY CAE.CUSTOMERID;\r\n\r\n-- Update statement: Update price of 2 event categories, increasing it by 10%.\r\nUPDATE PACKAGES SET PackagePrice = PackagePrice * 1.1 \r\n    WHERE EventCategory = 'Hiking Overhaul' OR EventCategory = 'Intermediate Hike';\r\n\r\n-- Delete statement: Delete a type of package.\r\nDELETE FROM PACKAGES \r\n    WHERE EventCategory = 'Easy Peasy Hike';\r\n\r\n-- Create view: Create a view of photos from advanced level events.\r\nCREATE VIEW AdvancedPhotos AS SELECT * FROM Photo \r\n    WHERE EventCategory = 'Hiking Overhaul' OR  EventCategory = 'Intermediate Hike';\r\n"}
{"doc_id": "065e69f8971654e05d69e37b1339f849", "text": "-- required name of view: user_usage_presentations_daily\nSELECT\n  user_usage.date AS date,\n  user_usage.email AS email,\n  IFNULL(users.ou, 'NA') AS ou,\n  user_usage.num_preso_created AS num_presentations,\n  user_usage.num_preso_created as num_preso_created,\n  user_usage.num_preso_edited as num_preso_edited,\n  user_usage.num_preso_trashed as num_preso_trashed,\n  user_usage.num_preso_viewed as num_preso_viewed \nFROM (\n  SELECT\n    date,\n    user_email AS email,\n    NTH(2, SPLIT(user_email, '@')) AS domain,\n    drive.num_owned_google_presentations_created   AS num_preso_created,\n    drive.num_owned_google_presentations_edited AS num_preso_edited,\n    drive.num_owned_google_presentations_trashed AS num_preso_trashed,\n    drive.num_owned_google_presentations_viewed AS num_preso_viewed\n  FROM\n    [YOUR_PROJECT_ID:EXPORT_DATASET.usage]\n  WHERE\n    TRUE\n    AND _PARTITIONTIME = YOUR_TIMESTAMP_PARAMETER\n    AND (drive.num_owned_google_presentations_created + drive.num_owned_google_presentations_edited + drive.num_owned_google_presentations_trashed + drive.num_owned_google_presentations_viewed) > 0\n    AND record_type = 'user' ) user_usage\nLEFT JOIN (\n  SELECT\n    ou,\n    email\n  FROM\n    [YOUR_PROJECT_ID:users.users_ou_list]\n  WHERE\n    TRUE\n    AND _PARTITIONTIME = YOUR_TIMESTAMP_PARAMETER ) users\nON\n  users.email = user_usage.email\nWHERE\n  domain IN ( YOUR_DOMAINS )\nGROUP BY 1,2,3,4,5,6,7,8"}
{"doc_id": "066a62bb4bdd0e4b591ac64f0997463b", "text": "DROP DATABASE IF EXISTS bookings;\nCREATE DATABASE bookings DEFAULT CHARSET utf8mb4;\n--\n--\nDELIMITER $$\nCREATE FUNCTION bookings.lang()\nRETURNS TEXT\nDETERMINISTIC\nBEGIN\n\tRETURN 'ru';\nEND$$\nDELIMITER ;\n--\n--\nCREATE TABLE bookings.aircrafts_data (\n    aircraft_code character(3) NOT NULL COMMENT 'Aircraft code, IATA',\n    model JSON NOT NULL COMMENT 'Aircraft model',\n    `range` integer NOT NULL COMMENT 'Maximal flying distance, km',\n    CONSTRAINT aircrafts_range_check CHECK ((`range` > 0)),\n    CONSTRAINT aircrafts_pkey PRIMARY KEY (aircraft_code)\n) COMMENT = 'Aircrafts (internal data)';\n--\n--\nCREATE VIEW bookings.aircrafts AS\n\tSELECT ml.aircraft_code,\n\t\t(ml.model ->> '$.ru') AS model,\n\t\tml.`range`\n\tFROM bookings.aircrafts_data ml;\n--\n--\nCREATE TABLE bookings.airports_data (\n    airport_code character(3) NOT NULL COMMENT 'Airport code',\n    airport_name JSON NOT NULL COMMENT 'Airport name',\n    city JSON NOT NULL COMMENT 'City',\n    coordinates point NOT NULL COMMENT 'Airport coordinates (longitude and latitude)',\n    timezone text NOT NULL COMMENT 'Airport time zone',\n    CONSTRAINT airports_data_pkey PRIMARY KEY (airport_code)\n) COMMENT = 'Airports (internal data)';\n--\n--\nCREATE VIEW bookings.airports AS\n\tSELECT ml.airport_code,\n\t\t(ml.airport_name ->> '$.ru') AS airport_name,\n\t\t(ml.city ->> '$.ru') AS city,\n\t\tml.coordinates,\n\t\tml.timezone\n\tFROM bookings.airports_data ml;\n--\n--\nCREATE TABLE bookings.boarding_passes (\n    ticket_no character(13) NOT NULL COMMENT 'Ticket number',\n    flight_id integer NOT NULL COMMENT 'Flight ID',\n    boarding_no integer NOT NULL COMMENT 'Boarding pass number',\n    seat_no character varying(4) NOT NULL COMMENT 'Seat number',\n    CONSTRAINT boarding_passes_flight_id_boarding_no_key UNIQUE (flight_id, boarding_no),\n    CONSTRAINT boarding_passes_flight_id_seat_no_key UNIQUE (flight_id, seat_no),\n    CONSTRAINT boarding_passes_pkey PRIMARY KEY (ticket_no, flight_id)\n) COMMENT = 'Boarding passes';\n--\n--\nCREATE TABLE bookings.bookings (\n    book_ref character(6) NOT NULL COMMENT 'Booking number',\n    book_date timestamp NOT NULL COMMENT 'Booking date',\n    total_amount numeric(10,2) NOT NULL COMMENT 'Total booking cost',\n    CONSTRAINT bookings_pkey PRIMARY KEY (book_ref)\n) COMMENT = 'Bookings';\n--\n--\nCREATE TABLE bookings.bookings_autoinc\n(\n    booking_pkey INT AUTO_INCREMENT,\n    book_ref     CHARACTER(6)   NOT NULL COMMENT 'Booking number',\n    book_date    TIMESTAMP      NOT NULL COMMENT 'Booking date',\n    total_amount NUMERIC(10, 2) NOT NULL COMMENT 'Total booking cost',\n    CONSTRAINT bookings_autoinc_pk\n        PRIMARY KEY (booking_pkey)\n)\nCOMMENT = 'Bookings (for insert returning)';\n--\n--\nCREATE TABLE bookings.flights (\n    flight_id integer AUTO_INCREMENT NOT NULL COMMENT 'Flight ID',\n    flight_no character(6) NOT NULL COMMENT 'Flight number',\n    scheduled_departure timestamp  NOT NULL COMMENT 'Scheduled departure time',\n    scheduled_arrival timestamp NOT NULL COMMENT 'Scheduled arrival time',\n    departure_airport character(3) NOT NULL COMMENT 'Airport of departure',\n    arrival_airport character(3) NOT NULL COMMENT 'Airport of arrival',\n    status character varying(20) NOT NULL COMMENT 'Flight status',\n    aircraft_code character(3) NOT NULL COMMENT 'Aircraft code, IATA',\n    actual_departure timestamp COMMENT 'Actual departure time',\n    actual_arrival timestamp COMMENT 'Actual arrival time',\n    CONSTRAINT flights_check CHECK ((scheduled_arrival > scheduled_departure)),\n    CONSTRAINT flights_check1 CHECK (((actual_arrival IS NULL) OR ((actual_departure IS NOT NULL) AND (actual_arrival IS NOT NULL) AND (actual_arrival > actual_departure)))),\n    -- CONSTRAINT flights_status_check CHECK ((`status` = ANY (SELECT 'On Time' UNION SELECT 'Delayed' UNION SELECT 'Departed' UNION SELECT 'Arrived' UNION SELECT 'Scheduled' UNION SELECT 'Cancelled'))),\n    CONSTRAINT flights_flight_no_scheduled_departure_key UNIQUE (flight_no, scheduled_departure),\n    CONSTRAINT flights_pkey PRIMARY KEY (flight_id)\n) COMMENT = 'Flights';\n--\n--\nCREATE VIEW bookings.flights_v AS\n\tSELECT f.flight_id,\n\t\tf.flight_no,\n\t\tf.scheduled_departure,\n\t\tf.scheduled_departure AS scheduled_departure_local,\n\t\tf.scheduled_arrival,\n\t\tf.scheduled_arrival AS scheduled_arrival_local,\n\t\t(f.scheduled_arrival - f.scheduled_departure) AS scheduled_duration,\n\t\tf.departure_airport,\n\t\tdep.airport_name AS departure_airport_name,\n\t\tdep.city AS departure_city,\n\t\tf.arrival_airport,\n\t\tarr.airport_name AS arrival_airport_name,\n\t\tarr.city AS arrival_city,\n\t\tf.status,\n\t\tf.aircraft_code,\n\t\tf.actual_departure,\n\t\tf.actual_departure AS actual_departure_local,\n\t\tf.actual_arrival,\n\t\tf.actual_arrival AS actual_arrival_local,\n\t\t(f.actual_arrival - f.actual_departure) AS actual_duration\n\tFROM bookings.flights f, bookings.airports dep, bookings.airports arr\n\tWHERE ((f.departure_airport = dep.airport_code) AND (f.arrival_airport = arr.airport_code));\n--\n--\nCREATE VIEW bookings.routes AS\n WITH f3 AS (\n         SELECT f2.flight_no,\n            f2.departure_airport,\n            f2.arrival_airport,\n            f2.aircraft_code,\n            f2.duration,\n            CONCAT('[\\'', GROUP_CONCAT(f2.days_of_week SEPARATOR '\\', \\''), '\\']') AS days_of_week\n           FROM ( SELECT f1.flight_no,\n                    f1.departure_airport,\n                    f1.arrival_airport,\n                    f1.aircraft_code,\n                    f1.duration,\n                    f1.days_of_week\n                   FROM ( SELECT flights.flight_no,\n                            flights.departure_airport,\n                            flights.arrival_airport,\n                            flights.aircraft_code,\n                            (flights.scheduled_arrival - flights.scheduled_departure) AS duration,\n                            (DAYOFWEEK(flights.scheduled_departure)) AS days_of_week\n                           FROM bookings.flights) f1\n                  GROUP BY f1.flight_no, f1.departure_airport, f1.arrival_airport, f1.aircraft_code, f1.duration, f1.days_of_week\n                  ORDER BY f1.flight_no, f1.departure_airport, f1.arrival_airport, f1.aircraft_code, f1.duration, f1.days_of_week) f2\n          GROUP BY f2.flight_no, f2.departure_airport, f2.arrival_airport, f2.aircraft_code, f2.duration\n        )\n SELECT f3.flight_no,\n    f3.departure_airport,\n    dep.airport_name AS departure_airport_name,\n    dep.city AS departure_city,\n    f3.arrival_airport,\n    arr.airport_name AS arrival_airport_name,\n    arr.city AS arrival_city,\n    f3.aircraft_code,\n    f3.duration,\n    f3.days_of_week\n   FROM f3,\n    bookings.airports dep,\n    bookings.airports arr\n  WHERE ((f3.departure_airport = dep.airport_code) AND (f3.arrival_airport = arr.airport_code));\n--\n--\nCREATE TABLE bookings.seats (\n    aircraft_code character(3) NOT NULL COMMENT 'Aircraft code, IATA',\n    seat_no character varying(4) NOT NULL COMMENT 'Seat number',\n    fare_conditions character varying(10) NOT NULL COMMENT 'Travel class',\n    -- CONSTRAINT seats_fare_conditions_check CHECK (((fare_conditions) = ANY (SELECT 'Economy' UNION SELECT 'Comfort' UNION SELECT 'Business'))),\n    CONSTRAINT seats_pkey PRIMARY KEY (aircraft_code, seat_no)\n) COMMENT = 'Seats';\n--\n--\nCREATE TABLE bookings.ticket_flights (\n    ticket_no character(13) NOT NULL COMMENT 'Ticket number',\n    flight_id integer NOT NULL COMMENT 'Flight ID',\n    fare_conditions character varying(10) NOT NULL COMMENT 'Travel class',\n    amount numeric(10,2) NOT NULL COMMENT 'Travel cost',\n    CONSTRAINT ticket_flights_amount_check CHECK ((amount >= (0))),\n    -- CONSTRAINT ticket_flights_fare_conditions_check CHECK (((fare_conditions) = ANY (SELECT 'Economy' UNION SELECT 'Comfort' UNION SELECT 'Business'))),\n    CONSTRAINT ticket_flights_pkey PRIMARY KEY (ticket_no, flight_id)\n) COMMENT = 'Flight segment';\n--\n--\nCREATE TABLE bookings.tickets (\n    ticket_no character(13) NOT NULL COMMENT 'Ticket number',\n    book_ref character(6) NOT NULL COMMENT 'Booking number',\n    passenger_id character varying(20) NOT NULL COMMENT 'Passenger ID',\n    passenger_name text NOT NULL COMMENT 'Passenger name',\n    contact_data JSON COMMENT 'Passenger contact information',\n    CONSTRAINT tickets_pkey PRIMARY KEY (ticket_no)\n) COMMENT = 'Tickets';\n--\n--\n--\n--\nINSERT INTO bookings.aircrafts_data (aircraft_code, model, `range`) VALUES ('773', '{\"en\": \"Boeing 777-300\", \"ru\": \"\u0411\u043e\u0438\u043d\u0433 777-300\"}', 11100);\nINSERT INTO bookings.aircrafts_data (aircraft_code, model, `range`) VALUES ('763', '{\"en\": \"Boeing 767-300\", \"ru\": \"\u0411\u043e\u0438\u043d\u0433 767-300\"}', 7900);\nINSERT INTO bookings.aircrafts_data (aircraft_code, model, `range`) VALUES ('SU9', '{\"en\": \"Sukhoi Superjet-100\", \"ru\": \"\u0421\u0443\u0445\u043e\u0439 \u0421\u0443\u043f\u0435\u0440\u0434\u0436\u0435\u0442-100\"}', 3000);\nINSERT INTO bookings.aircrafts_data (aircraft_code, model, `range`) VALUES ('320', '{\"en\": \"Airbus A320-200\", \"ru\": \"\u0410\u044d\u0440\u043e\u0431\u0443\u0441 A320-200\"}', 5700);\nINSERT INTO bookings.aircrafts_data (aircraft_code, model, `range`) VALUES ('321', '{\"en\": \"Airbus A321-200\", \"ru\": \"\u0410\u044d\u0440\u043e\u0431\u0443\u0441 A321-200\"}', 5600);\nINSERT INTO bookings.aircrafts_data (aircraft_code, model, `range`) VALUES ('319', '{\"en\": \"Airbus A319-100\", \"ru\": \"\u0410\u044d\u0440\u043e\u0431\u0443\u0441 A319-100\"}', 6700);\nINSERT INTO bookings.aircrafts_data (aircraft_code, model, `range`) VALUES ('733', '{\"en\": \"Boeing 737-300\", \"ru\": \"\u0411\u043e\u0438\u043d\u0433 737-300\"}', 4200);\nINSERT INTO bookings.aircrafts_data (aircraft_code, model, `range`) VALUES ('CN1', '{\"en\": \"Cessna 208 Caravan\", \"ru\": \"\u0421\u0435\u0441\u0441\u043d\u0430 208 \u041a\u0430\u0440\u0430\u0432\u0430\u043d\"}', 1200);\nINSERT INTO bookings.aircrafts_data (aircraft_code, model, `range`) VALUES ('CR2', '{\"en\": \"Bombardier CRJ-200\", \"ru\": \"\u0411\u043e\u043c\u0431\u0430\u0440\u0434\u044c\u0435 CRJ-200\"}', 2700);\n--\n--\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('YKS', '{\"en\": \"Yakutsk Airport\", \"ru\": \"\u042f\u043a\u0443\u0442\u0441\u043a\"}', '{\"en\": \"Yakutsk\", \"ru\": \"\u042f\u043a\u0443\u0442\u0441\u043a\"}', POINT(129.77099609375,62.0932998657226562), 'Asia/Yakutsk');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('MJZ', '{\"en\": \"Mirny Airport\", \"ru\": \"\u041c\u0438\u0440\u043d\u044b\u0439\"}', '{\"en\": \"Mirnyj\", \"ru\": \"\u041c\u0438\u0440\u043d\u044b\u0439\"}', POINT(114.03900146484375,62.534698486328125), 'Asia/Yakutsk');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('KHV', '{\"en\": \"Khabarovsk-Novy Airport\", \"ru\": \"\u0425\u0430\u0431\u0430\u0440\u043e\u0432\u0441\u043a-\u041d\u043e\u0432\u044b\u0439\"}', '{\"en\": \"Khabarovsk\", \"ru\": \"\u0425\u0430\u0431\u0430\u0440\u043e\u0432\u0441\u043a\"}', POINT(135.18800354004,48.5279998779300001), 'Asia/Vladivostok');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('PKC', '{\"en\": \"Yelizovo Airport\", \"ru\": \"\u0415\u043b\u0438\u0437\u043e\u0432\u043e\"}', '{\"en\": \"Petropavlovsk\", \"ru\": \"\u041f\u0435\u0442\u0440\u043e\u043f\u0430\u0432\u043b\u043e\u0432\u0441\u043a-\u041a\u0430\u043c\u0447\u0430\u0442\u0441\u043a\u0438\u0439\"}', POINT(158.453994750976562,53.1679000854492188), 'Asia/Kamchatka');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('UUS', '{\"en\": \"Yuzhno-Sakhalinsk Airport\", \"ru\": \"\u0425\u043e\u043c\u0443\u0442\u043e\u0432\u043e\"}', '{\"en\": \"Yuzhno-Sakhalinsk\", \"ru\": \"\u042e\u0436\u043d\u043e-\u0421\u0430\u0445\u0430\u043b\u0438\u043d\u0441\u043a\"}', POINT(142.718002319335938,46.8886985778808594), 'Asia/Sakhalin');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('VVO', '{\"en\": \"Vladivostok International Airport\", \"ru\": \"\u0412\u043b\u0430\u0434\u0438\u0432\u043e\u0441\u0442\u043e\u043a\"}', '{\"en\": \"Vladivostok\", \"ru\": \"\u0412\u043b\u0430\u0434\u0438\u0432\u043e\u0441\u0442\u043e\u043a\"}', POINT(132.147994995117188,43.3989982604980469), 'Asia/Vladivostok');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('LED', '{\"en\": \"Pulkovo Airport\", \"ru\": \"\u041f\u0443\u043b\u043a\u043e\u0432\u043e\"}', '{\"en\": \"St. Petersburg\", \"ru\": \"\u0421\u0430\u043d\u043a\u0442-\u041f\u0435\u0442\u0435\u0440\u0431\u0443\u0440\u0433\"}', POINT(30.2625007629394531,59.8003005981445312), 'Europe/Moscow');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('KGD', '{\"en\": \"Khrabrovo Airport\", \"ru\": \"\u0425\u0440\u0430\u0431\u0440\u043e\u0432\u043e\"}', '{\"en\": \"Kaliningrad\", \"ru\": \"\u041a\u0430\u043b\u0438\u043d\u0438\u043d\u0433\u0440\u0430\u0434\"}', POINT(20.5925998687744141,54.8899993896484375), 'Europe/Kaliningrad');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('KEJ', '{\"en\": \"Kemerovo Airport\", \"ru\": \"\u041a\u0435\u043c\u0435\u0440\u043e\u0432\u043e\"}', '{\"en\": \"Kemorovo\", \"ru\": \"\u041a\u0435\u043c\u0435\u0440\u043e\u0432\u043e\"}', POINT(86.1072006225585938,55.2700996398925781), 'Asia/Novokuznetsk');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('NOZ', '{\"en\": \"Spichenkovo Airport\", \"ru\": \"\u0421\u043f\u0438\u0447\u0435\u043d\u043a\u043e\u0432\u043e\"}', '{\"en\": \"Novokuznetsk\", \"ru\": \"\u041d\u043e\u0432\u043e\u043a\u0443\u0437\u043d\u0435\u0446\u043a\"}', POINT(86.877197265625,53.8114013671875), 'Asia/Novokuznetsk');\nINSERT INTO bookings.airports_data (airport_code, airport_name, city, coordinates, timezone) VALUES ('DME', '{\"en\": \"Domodedovo International Airport\", \"ru\": \"\u0414\u043e\u043c\u043e\u0434\u0435\u0434\u043e\u0432\u043e\"}', '{\"en\": \"Moscow\", \"ru\": \"\u041c\u043e\u0441\u043a\u0432\u0430\"}', POINT(37.9062995910644531,55.4087982177734375), 'Europe/Moscow');\n--\n--\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('064589', '2017-07-22 12:33:00', 310100.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('1DC435', '2017-07-20 05:36:00', 6700.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('2F2226', '2017-07-13 10:40:00', 326100.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('302066', '2017-08-09 03:21:00', 48900.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('32C1D7', '2017-07-17 10:39:00', 137100.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('7F0E21', '2017-07-02 03:06:00', 70200.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('7F5D7B', '2017-08-04 21:31:00', 7300.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('9567AF', '2017-07-24 09:48:00', 50100.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('D9CF3C', '2017-07-22 21:07:00', 98400.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('DDCAEA', '2017-08-09 00:10:00', 63300.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('F313DD', '2017-07-03 01:37:00', 30900.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('000068', '2020-03-12 15:18:00', 18100.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('0002D8', '2017-08-07 18:40:00', 23600.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('000012', '2020-03-12 15:18:00', 37900.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('00000F', '2017-07-05 00:12:00', 265700.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('31ADD5', '2017-07-11 05:19:00', 52000.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('6C0FB3', '2017-08-06 08:12:00', 112100.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('CD9472', '2017-07-30 23:31:00', 91000.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('63A498', '2017-07-10 09:31:00', 35200.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('579EFD', '2017-07-23 13:04:00', 21400.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('FDC2AF', '2017-06-30 03:56:00', 20000.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('644C15', '2017-07-02 04:52:00', 96200.00);\nINSERT INTO bookings.bookings (book_ref, book_date, total_amount) VALUES ('3A458F', '2017-07-20 21:47:00', 203500.00);\n--\n--\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('064589', '2017-07-22 12:33:00', 310100.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('1DC435', '2017-07-20 05:36:00', 6700.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('2F2226', '2017-07-13 10:40:00', 326100.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('302066', '2017-08-09 03:21:00', 48900.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('32C1D7', '2017-07-17 10:39:00', 137100.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('7F0E21', '2017-07-02 03:06:00', 70200.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('7F5D7B', '2017-08-04 21:31:00', 7300.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('9567AF', '2017-07-24 09:48:00', 50100.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('D9CF3C', '2017-07-22 21:07:00', 98400.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('DDCAEA', '2017-08-09 00:10:00', 63300.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('F313DD', '2017-07-03 01:37:00', 30900.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('000068', '2020-03-12 15:18:00', 18100.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('0002D8', '2017-08-07 18:40:00', 23600.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('000012', '2020-03-12 15:18:00', 37900.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('00000F', '2017-07-05 00:12:00', 265700.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('31ADD5', '2017-07-11 05:19:00', 52000.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('6C0FB3', '2017-08-06 08:12:00', 112100.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('CD9472', '2017-07-30 23:31:00', 91000.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('63A498', '2017-07-10 09:31:00', 35200.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('579EFD', '2017-07-23 13:04:00', 21400.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('FDC2AF', '2017-06-30 03:56:00', 20000.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('644C15', '2017-07-02 04:52:00', 96200.00);\nINSERT INTO bookings.bookings_autoinc (book_ref, book_date, total_amount) VALUES ('3A458F', '2017-07-20 21:47:00', 203500.00);\n--\n--\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (1, 'PG0405', '2017-07-16 06:35:00', '2017-07-16 07:30:00', 'DME', 'LED', 'Arrived', '321', '2017-07-16 06:44:00', '2017-07-16 7:39:00');\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (2, 'PG0404', '2017-08-05 16:05:00', '2017-08-05 17:00:00', 'DME', 'LED', 'Arrived', '321', '2017-08-05 16:06:00', '2017-08-05 17:01:00');\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (3, 'PG0405', '2017-08-05 06:35:00', '2017-08-05 7:30:00', 'DME', 'LED', 'Arrived', '321', '2017-08-05 06:39:00', '2017-08-05 7:34:00');\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (5, 'PG0405', '2017-08-16 06:35:00', '2017-08-16 7:30:00', 'DME', 'LED', 'On Time', '321', NULL, NULL);\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (6, 'PG0404', '2017-08-16 16:05:00', '2017-08-16 17:00:00', 'DME', 'LED', 'Scheduled', '321', NULL, NULL);\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (9, 'PG0405', '2017-08-25 06:35:00', '2017-08-25 7:30:00', 'DME', 'LED', 'Scheduled', '321', NULL, NULL);\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (12, 'PG0404', '2017-08-23 16:05:00', '2017-08-23 17:00:00', 'DME', 'LED', 'Scheduled', '321', NULL, NULL);\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (13, 'PG0405', '2017-08-23 06:35:00', '2017-08-23 7:30:00', 'DME', 'LED', 'Scheduled', '321', NULL, NULL);\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (17, 'PG0404', '2017-08-06 16:05:00', '2017-08-06 17:00:00', 'DME', 'LED', 'Arrived', '321', '2017-08-06 16:05:00', '2017-08-06 17:00:00');\nINSERT INTO bookings.flights (flight_id, flight_no, scheduled_departure, scheduled_arrival, departure_airport, arrival_airport, status, aircraft_code, actual_departure, actual_arrival) VALUES (18, 'PG0405', '2017-08-06 06:35:00', '2017-08-06 07:30:00', 'DME', 'LED', 'Arrived', '321', '2017-08-06 06:39:00', '2017-08-06 7:35:00');\n--\n--\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432262099', '1DC435', '2902 380461', 'ZINAIDA KOLESNIKOVA', '{\"email\": \"kolesnikovaz_22021966@postgrespro.ru\", \"phone\": \"+70165381701\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432262559', '7F5D7B', '8304 490111', 'IRINA SOKOLOVA', '{\"phone\": \"+70409757838\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432391976', '2F2226', '0529 836694', 'NIKOLAY AFANASEV', '{\"phone\": \"+70416117072\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432392021', '064589', '8060 473243', 'MARIYA PAVLOVA', '{\"phone\": \"+70964218696\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432816945', '7F0E21', '8841 094140', 'EVGENIY MATVEEV', '{\"email\": \"matveev-evgeniy12081962@postgrespro.ru\", \"phone\": \"+70499680033\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432817563', '9567AF', '2571 103533', 'IRINA KULIKOVA', '{\"email\": \"kulikova_i30091963@postgrespro.ru\", \"phone\": \"+70249793260\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432901522', '32C1D7', '6629 360047', 'NIKITA SMIRNOV', '{\"email\": \"smirnov_n.121972@postgrespro.ru\", \"phone\": \"+70023619999\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432920090', 'D9CF3C', '5288 858785', 'OLGA CHERNOVA', '{\"email\": \"o.chernova.091965@postgrespro.ru\", \"phone\": \"+70427851224\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005433477016', 'DDCAEA', '4994 536095', 'ELENA MAKAROVA', '{\"email\": \"makarova-e1967@postgrespro.ru\", \"phone\": \"+70857713969\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005433477058', '302066', '5130 647261', 'ROMAN SEMENOV', '{\"email\": \"roman_semenov_18031968@postgrespro.ru\", \"phone\": \"+70549211446\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432000991', 'F313DD', '6615 976589', 'MAKSIM ZHUKOV', '{\"email\": \"m-zhukov061972@postgrespro.ru\", \"phone\": \"+70149562185\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432000992', 'F313DD', '2021 652719', 'NIKOLAY EGOROV', '{\"phone\": \"+70791452932\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432000993', 'F313DD', '0817 363231', 'TATYANA KUZNECOVA', '{\"email\": \"kuznecova-t-011961@postgrespro.ru\", \"phone\": \"+70400736223\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432261149', 'FDC2AF', '6991 021312', 'NADEZHDA MIKHAYLOVA', '{\"phone\": \"+70057157138\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005432530989', '6C0FB3', '3960 621312', 'REGINA KULIKOVA', '{\"email\": \"rkulikova.1965@postgrespro.ru\", \"phone\": \"+70558361155\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005433008470', '3A458F', '7437 921312', 'MIKHAIL AFANASEV', '{\"phone\": \"+70798437076\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005433450003', '579EFD', '5838 621312', 'EGOR NIKOLAEV', '{\"phone\": \"+70630104123\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005433451604', '63A498', '2846 021312', 'RAVIL ZAKHAROV', '{\"phone\": \"+70006996217\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005433507416', 'CD9472', '6704 621312', 'ALINA BELOVA', '{\"email\": \"a_belova1976@postgrespro.ru\", \"phone\": \"+70962645798\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005434374448', '31ADD5', '1405 221312', 'NADEZHDA ZHURAVLEVA', '{\"phone\": \"+70628049699\"}');\nINSERT INTO bookings.tickets (ticket_no, book_ref, passenger_id, passenger_name, contact_data) VALUES ('0005434586243', '644C15', '4152 521312', 'EKATERINA SOROKINA', '{\"email\": \"esorokina-30031971@postgrespro.ru\", \"phone\": \"+70878960119\"}');\n--\n--\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005432816945', 1, 'Business', 20000.00);\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005432901522', 2, 'Economy', 6700.00);\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005432817563', 3, 'Economy', 7300.00);\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005432391976', 17, 'Business', 20000.00);\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005432262099', 18, 'Economy', 6700.00);\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005432920090', 6, 'Economy', 6700.00);\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005432262559', 5, 'Economy', 7300.00);\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005432392021', 12, 'Economy', 6700.00);\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005433477016', 13, 'Economy', 6700.00);\nINSERT INTO bookings.ticket_flights (ticket_no, flight_id, fare_conditions, amount) VALUES ('0005433477058', 9, 'Economy', 6700.00);\n--\n--\nINSERT INTO bookings.boarding_passes (ticket_no, flight_id, boarding_no, seat_no) VALUES ('0005432816945', 1, 1, '2C');\nINSERT INTO bookings.boarding_passes (ticket_no, flight_id, boarding_no, seat_no) VALUES ('0005432901522', 2, 27, '11C');\nINSERT INTO bookings.boarding_passes (ticket_no, flight_id, boarding_no, seat_no) VALUES ('0005432817563', 3, 18, '8D');\nINSERT INTO bookings.boarding_passes (ticket_no, flight_id, boarding_no, seat_no) VALUES ('0005432391976', 17, 11, '5A');\nINSERT INTO bookings.boarding_passes (ticket_no, flight_id, boarding_no, seat_no) VALUES ('0005432262099', 18, 78, '26D');\n--\n-- \nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '2A', 'Business');\nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '2C', 'Business');\nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '2D', 'Business');\nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '2F', 'Business');\nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '3A', 'Business');\nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '3C', 'Business');\nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '3D', 'Business');\nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '3F', 'Business');\nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '4A', 'Business');\nINSERT INTO bookings.seats (aircraft_code, seat_no, fare_conditions) VALUES ('319', '4C', 'Business');\n--\n--\nALTER TABLE bookings.boarding_passes\n    ADD CONSTRAINT boarding_passes_ticket_no_fkey FOREIGN KEY (ticket_no, flight_id) REFERENCES bookings.ticket_flights(ticket_no, flight_id);\n--\n--\nALTER TABLE bookings.flights\n    ADD CONSTRAINT flights_aircraft_code_fkey FOREIGN KEY (aircraft_code) REFERENCES bookings.aircrafts_data(aircraft_code);\n--\n--\nALTER TABLE bookings.flights\n    ADD CONSTRAINT flights_arrival_airport_fkey FOREIGN KEY (arrival_airport) REFERENCES bookings.airports_data(airport_code);\n--\n--\nALTER TABLE bookings.flights\n    ADD CONSTRAINT flights_departure_airport_fkey FOREIGN KEY (departure_airport) REFERENCES bookings.airports_data(airport_code);\n--\n--\nALTER TABLE bookings.seats\n    ADD CONSTRAINT seats_aircraft_code_fkey FOREIGN KEY (aircraft_code) REFERENCES bookings.aircrafts_data(aircraft_code) ON DELETE CASCADE;\n--\n--\nALTER TABLE bookings.ticket_flights\n    ADD CONSTRAINT ticket_flights_flight_id_fkey FOREIGN KEY (flight_id) REFERENCES bookings.flights(flight_id);\n--\n--\nALTER TABLE bookings.ticket_flights\n    ADD CONSTRAINT ticket_flights_ticket_no_fkey FOREIGN KEY (ticket_no) REFERENCES bookings.tickets(ticket_no);\n--\n--\nALTER TABLE bookings.tickets\n    ADD CONSTRAINT tickets_book_ref_fkey FOREIGN KEY (book_ref) REFERENCES bookings.bookings(book_ref);\n--\n--\n--\n--\nDROP DATABASE IF EXISTS test_schema;\nCREATE DATABASE test_schema DEFAULT CHARSET utf8mb4;\n--\n--\nDROP DATABASE IF EXISTS public;\nCREATE DATABASE public DEFAULT CHARSET utf8mb4;\n--\n--\nCREATE TABLE test_schema.text_types\n(\n    text_types_key VARCHAR(36) NOT NULL COMMENT '\u0418\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440',\n    meta_plain     text COMMENT '\u0410\u043a\u0442\u0438\u0432\u0430\u0446\u0438\u044f \u0440\u0435\u0436\u0438\u043c\u0430 \u0442\u0435\u043a\u0441\u0442\u0430 \u0431\u0435\u0437 \u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f',\n    meta_text      text COMMENT '\u0410\u043a\u0442\u0438\u0432\u0430\u0446\u0438\u044f \u0440\u0435\u0436\u0438\u043c\u0430 \u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u0442\u0435\u043a\u0441\u0442\u0430',\n    detail_plain   text COMMENT '\u0420\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0442\u0435\u043a\u0441\u0442\u0430 \u0431\u0435\u0437 \u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f',\n    detail_text    text COMMENT '\u0420\u0435\u0434\u0430\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u0442\u0435\u043a\u0441\u0442\u0430'\n) COMMENT = '\u0422\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0435 \u0442\u0438\u043f\u044b';\n--\n--\nDELIMITER $$\nCREATE FUNCTION bookings.testint(a1 int)\nRETURNS bool\nDETERMINISTIC\nBEGIN\n\tRETURN TRUE;\nEND$$\nDELIMITER ;\n--\n--\nDELIMITER $$\nCREATE FUNCTION bookings.testint2(a1 text, a2 integer)\nRETURNS bool\nDETERMINISTIC\nBEGIN\n\tRETURN TRUE;\nEND$$\nDELIMITER ;\n--\n--\nDELIMITER $$\nCREATE FUNCTION bookings.testint3()\nRETURNS int\nDETERMINISTIC\nBEGIN\n\tRETURN 1200;\nEND$$\nDELIMITER ;\n--\n--\nDELIMITER $$\nCREATE FUNCTION bookings.test4(a1 int)\nRETURNS TEXT\nDETERMINISTIC\nBEGIN\n\tRETURN CONVERT(a1, CHAR(10000));\nEND$$\nDELIMITER ;\n--\n--\nALTER USER mysql COMMENT '\u0410\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440';"}
{"doc_id": "067b250a20a8078acaa0f808832d6fa1", "text": "USE `airport`;\r\nDROP procedure IF EXISTS `free_seats`;\r\nDELIMITER $$\r\nUSE `airport`$$\r\nCREATE PROCEDURE `free_seats`\r\n  (base char(3), co char(2), num smallint unsigned, d date, count tinyint unsigned)\r\nBEGIN\r\n  if (base is null) then\r\n    if (d is not null) then\r\n      SELECT airport, class1, class2, class3 FROM flying, airport_flight, flight\r\n        WHERE flight=id_flight and airport_flight=id_airport_flight\r\n          and if(co, company=co, true) and if(num, number=num, true) and date=d\r\n          and (class3>=count or class2>=count or class1>=count);\r\n\telse\r\n      SELECT airport, class1, class2, class3, date FROM flying, airport_flight, flight\r\n        WHERE flight=id_flight and airport_flight=id_airport_flight\r\n          and if(co, company=co, true) and if(num, number=num, true)\r\n          and (class3>=count or class2>=count or class1>=count);\r\n    end if;\r\n  else\r\n    DROP TABLE if exists t;   # if last run failed\r\n    CREATE TEMPORARY TABLE t\r\n      SELECT airport, class1, class2, class3, date FROM flying, airport_flight, flight\r\n        WHERE flight=id_flight and airport_flight=id_airport_flight\r\n          and if(co, company=co, true) and if(num, number=num, true) and if(d, date=d, true)\r\n          and (class3>=count or class2>=count or class1>=count);\r\n    if (d is not null) then\r\n      set @c1 = -1;\r\n      SELECT class1, class2, class3 into @c1, @c2, @c3 FROM t where airport=base;\r\n      if (@c1 != -1)\r\n        then SELECT @c1 as 'class1', @c2 as 'class2', @c3 as 'class3';\r\n        else SELECT airport, class1, class2, class3 from t;  end if;\r\n\telse\r\n      DROP TABLE if exists ft;   # if last run failed\r\n      CREATE TEMPORARY TABLE ft\r\n        SELECT * from t where airport=base;\r\n\t  SELECT count(*) into @ft_count from ft;\r\n\t  if (@ft_count != 0)\r\n        then SELECT class1, class2, class3, date from ft;\r\n        else SELECT * from t;  end if;\r\n      DROP TABLE ft;\r\n    end if;\r\n    DROP TABLE t;\r\n  end if;\r\nEND $$\r\nDELIMITER;\r\n"}
{"doc_id": "06859f1a63210f984fe83898cac33db0", "text": "--SELECT td.TR_UID AS [UID], li.[LOGIN] AS [LOGIN], td.TR_InDate [Task In],td.TR_Productivity AS [Productivity], DATEDIFF(minute,li.[LOGIN],td.TR_InDate) AS [DIFF]\n--FROM tbl_TaskRecordDetail td\n--INNER JOIN [LILO] li ON li.USERID=td.TR_UID AND li.[LOGIN] BETWEEN '01-01-2018 00:00:00' AND '01-31-2018 23:59:59'\n--WHERE td.TR_Apporval = 2 AND td.TR_Productivity> 150 AND td.TR_PIC = 'ZDQ' AND td.TR_InDate BETWEEN '01-01-2018 00:00:00' AND '01-31-2018 23:59:59' AND DATEDIFF(minute,li.[LOGIN],td.TR_InDate)> ((((5/60)*24)*60))\n--ORDER BY td.TR_UID desc\n\n\n--SELECT d.[UID], MIN(d.[Task In]) AS [FIRST TASK IN], FLILO.[FLOGIN], d.[DATE] AS [DATE]\n--FROM (\n--SELECT td.TR_UID AS [UID], td.TR_InDate AS [Task In],  CAST(td.TR_InDate AS date) AS [DATE]\n--FROM tbl_TaskRecordDetail td\n--WHERE td.TR_Apporval = 2 AND td.TR_Productivity> 150 AND td.TR_PIC = 'ZDQ' AND td.TR_InDate BETWEEN '01-01-2018 00:00:00' AND '01-31-2018 23:59:59'\n--) d\n--INNER JOIN\n--(SELECT [USERID] AS [UID], [LOGIN] AS [FLOGIN], CAST(li.[LOGIN] AS date) AS [DATE]\n--FROM [LILO] li \n--WHERE li.[LOGIN] BETWEEN '01-01-2018 00:00:00' AND '01-31-2018 23:59:59') FLILO ON FLILO.[DATE]=d.[DATE] AND FLILO.[UID]=d.[UID]\n\n--GROUP BY d.[UID], d.[DATE],FLILO.[FLOGIN]\n--ORDER BY d.[UID] desc\n\n\n\nSELECT td.TR_Index AS [INDEX], td.TR_UID AS [UID], li.[LOGIN] AS [FLOGIN], td.TR_InDate AS [TASKIN], CAST(td.TR_InDate AS date) AS [DATE], DATEDIFF(minute,li.[LOGIN],td.TR_InDate) AS [DIFF]\nFROM tbl_TaskRecordDetail td\nINNER JOIN LILO li ON td.TR_UID=li.USERID AND CAST(li.[LOGIN] AS date)=CAST(td.TR_InDate AS date)\nWHERE td.TR_Apporval = 2 AND td.TR_PIC = 'ZDQ' AND td.TR_InDate BETWEEN '01-01-2018 00:00:00' AND '01-31-2018 23:59:59' AND (DATEDIFF(minute,li.[LOGIN],td.TR_InDate))> ((((5/60)*24)*60))\nORDER BY td.TR_Index DESC\n\n\n\nSELECT CAST(td.TR_InDate AS date) AS [DATE], td.TR_UID AS [UID], li.[LOGIN] AS [FLOGIN], MIN(td.TR_InDate) AS [TASKIN]\nFROM tbl_TaskRecordDetail td \nINNER JOIN LILO li ON td.TR_UID=li.USERID AND CAST(li.[LOGIN] AS date)=CAST(td.TR_InDate AS date)\nWHERE td.TR_Apporval = 2 AND td.TR_PIC = 'ZDQ' AND td.TR_InDate BETWEEN '01-01-2018 00:00:00' AND '01-31-2018 23:59:59'\nGROUP BY CAST(td.TR_InDate AS date), td.TR_UID, li.[LOGIN]\nORDER BY CAST(td.TR_InDate AS date)\n\n\n\n"}
{"doc_id": "068b02862f0a808b606d5f0904e02b0b", "text": "SELECT\n  columns.column_name AS column_name,\n  columns.data_type AS data_type,\n  columns.character_maximum_length,\n  COALESCE(columns.numeric_precision, 30) AS numeric_precision,\n  COALESCE(columns.numeric_scale, 6) AS numeric_scale,\n  columns.ordinal_position,\n  (constraints.constraint_type IS NOT NULL) AS is_pkey\n\nFROM information_schema.columns\n\nLEFT JOIN (\n  SELECT \n    table_constraints.constraint_type,\n    table_constraints.constraint_schema,\n    table_constraints.table_name,\n    key_column_usage.column_name\n\n  FROM information_schema.table_constraints\n\n  LEFT JOIN information_schema.key_column_usage\n    ON table_constraints.constraint_catalog = key_column_usage.constraint_catalog\n    AND table_constraints.constraint_schema = key_column_usage.constraint_schema\n    AND table_constraints.constraint_name = key_column_usage.constraint_name\n    AND table_constraints.table_name = key_column_usage.table_name\n\n  WHERE table_constraints.constraint_type = 'PRIMARY KEY'\n) AS constraints\n  ON constraints.constraint_schema = columns.table_schema\n  AND constraints.table_name = columns.table_name\n  AND constraints.column_name = columns.column_name\n\nWHERE columns.table_name = ?table_name\n  AND columns.table_schema = ?schema_name\n\nORDER BY ordinal_position;\n"}
{"doc_id": "06cf993238d6bd7291b19c8105a02d79", "text": "CREATE TABLE IF NOT EXISTS posts (\n\tid          INTEGER PRIMARY KEY AUTOINCREMENT,\n\ttitle       TEXT NOT NULL,\n\turl         TEXT NOT NULL,\n\tdescription TEXT,\n\tposted_on   TIMESTAMP NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS tags (\n\tid  INTEGER PRIMARY KEY AUTOINCREMENT,\n\ttag TEXT(40) UNIQUE\n);\n\nCREATE TABLE IF NOT EXISTS tags_for_post (\n\tid  INTEGER PRIMARY KEY AUTOINCREMENT,\n\tpost_id INTEGER,\n\ttag_id  INTEGER,\n\tFOREIGN KEY (post_id) REFERENCES posts(id),\n\tFOREIGN KEY (tag_id)  REFERENCES tags(id)\n);"}
{"doc_id": "06dec5bbbf73792e5b8b9638f40be0f3", "text": "CREATE TABLE OT (\n\t-- OT is called Name\n\tName                                    VARCHAR NOT NULL,\n\t-- Primary index to OT(Name in \"OT is called Name\")\n\tPRIMARY KEY(Name)\n);\n\n\nCREATE TABLE VTP (\n\t-- VTP involves VT that is a kind of DOT that is a kind of OT that is called Name\n\tVTName                                  VARCHAR NOT NULL,\n\t-- VTP involves Name\n\tName                                    VARCHAR NOT NULL,\n\t-- Primary index to VTP(VT, Name in \"VT has facet called Name\")\n\tPRIMARY KEY(VTName, Name),\n\tFOREIGN KEY (VTName) REFERENCES OT (Name)\n);\n\n\nCREATE TABLE VTPRestriction (\n\t-- VTPRestriction involves VT that is a kind of DOT that is a kind of OT that is called Name\n\tVTName                                  VARCHAR NOT NULL,\n\t-- VTPRestriction involves VTP that involves VT that is a kind of DOT that is a kind of OT that is called Name\n\tVTPVTName                               VARCHAR NOT NULL,\n\t-- VTPRestriction involves VTP that involves Name\n\tVTPName                                 VARCHAR NOT NULL,\n\t-- Primary index to VTPRestriction(VT, VTP in \"VT receives VTP\")\n\tPRIMARY KEY(VTName, VTPVTName, VTPName),\n\tFOREIGN KEY (VTName) REFERENCES OT (Name),\n\tFOREIGN KEY (VTPVTName, VTPName) REFERENCES VTP (VTName, Name)\n);\n\n\n"}
{"doc_id": "06e8dbad02ba9d61a406018cd6f09fa8", "text": "--- Lists users by what percentage of their messages have a mention in them.\n--- Only counts users with more than 400 messages.\n\nSELECT\n    users.name,\n    users.int_user_id,\n    users.real_user_id,\n    users.is_bot,\n    100.0 * COUNT(messages.int_user_id) / total_messages.count AS percentage\nFROM (\n    SELECT\n        messages.message_id,\n        messages.int_user_id\n    FROM mentions\n    JOIN messages\n        ON messages.message_id = mentions.message_id\n    WHERE messages.guild_id = 181866934353133570 -- Programming\n    GROUP BY messages.message_id\n) AS messages\nJOIN users\n    ON users.int_user_id = messages.int_user_id\nJOIN (\n    SELECT\n        int_user_id,\n        COUNT(int_user_id)\n    FROM messages\n    GROUP BY int_user_id\n) AS total_messages\n    ON total_messages.int_user_id = messages.int_user_id\nWHERE total_messages.count > 400 -- Limit people\nGROUP BY users.int_user_id, users.real_user_id, total_messages.count\nORDER BY percentage DESC;\n"}
{"doc_id": "06f7fe36191aff1818b78ce525f21a87", "text": "/* Region Summary Report\nInputs:\n{0}: year\n{1}: aggregation feature\n{2}: aggregation feature's name field\n\nOutputs:\nCreates the region summary tables (_rs<year>) for the input year's single family, duplex, and multi\nfamily units by input aggregation field.\n*/\n\n/* Analysis for Mike -- Model Validation\n-- All Multidwelling Development by Nhood\nCREATE TABLE all_multidev (nhood_name TEXT, sum_dwellings INTEGER);\n-- Populate table\nINSERT INTO all_multidev\n  SELECT name, sum(sum_dwellings) AS sum_dwellings FROM (\n\n    -- Copy/paste this for individual projects\n    SELECT d.address AS address, SUM(d.sum_dwellings) AS sum_dwellings, n.name AS name \n    FROM density2014 d \n    JOIN council_dists n ON Intersects(d.geometry, n.geometry) \n    WHERE d.sum_dwellings >= 3 \n\tGROUP BY d.address\n\n    UNION \n\n    SELECT d.address AS address, SUM(d.sum_dwellings) AS sum_dwellings, n.name AS name \n    FROM density2015 d \n    JOIN council_dists n ON Intersects(d.geometry, n.geometry) \n    WHERE d.sum_dwellings >= 3 \n\tGROUP BY d.address\n\n    UNION \n\n    SELECT d.address AS address, SUM(d.sum_dwellings) AS sum_dwellings, n.name AS name \n    FROM density2016 d \n    JOIN council_dists n ON Intersects(d.geometry, n.geometry) \n    WHERE d.sum_dwellings >= 3 \n\tGROUP BY d.address\n\n    ORDER BY n.name\n) \n  GROUP BY name;\n*/\n\n-- Recreated the anlaysis for Mike to be more useful/modular\nCREATE TABLE multi_rs{0} (nhood_name TEXT, sum_dwellings INTEGER);\n-- Populate table\nINSERT INTO multi_rs{0}\n  SELECT name, sum(sum_dwellings) AS sum_dwellings FROM (\n    SELECT d.address AS address, SUM(d.sum_dwellings) AS sum_dwellings, n.{2} AS name \n    FROM density{0} d \n    JOIN {1} n ON Intersects(d.geometry, n.geometry) \n    WHERE d.sum_dwellings >= 3 \n\tGROUP BY d.address\n\tORDER BY n.{2}\n\t)\n  GROUP BY name;\n\n/* All multidev for a series of years\nSELECT nhood_name, SUM(sum_dwellings) FROM (\n  SELECT * FROM multidev2014\n  UNION\n  SELECT * FROM multidev2015\n  UNION\n  SELECT * FROM multidev2016\n  )\n  GROUP BY nhood_name;\n*/\n\n-- Same thing, but for single family residences (sfr)\nCREATE TABLE sfr_rs{0} (nhood_name TEXT, sum_dwellings INTEGER);\n\nINSERT INTO sfr_rs{0}\n  SELECT name, SUM(sum_dwellings) AS sum_dwellings FROM (\n\n    SELECT d.address AS address, SUM(d.sum_dwellings) AS sum_dwellings, n.{2} AS name \n    FROM density{0} d\n    JOIN {1} n ON Intersects(d.geometry, n.geometry) \n    WHERE d.sum_dwellings = 1 \n\tGROUP BY d.address\n\tORDER BY n.{2}\n    ) \n  GROUP BY name;\n\n\n-- And for duplexes\nCREATE TABLE duplex_rs{0} (nhood_name TEXT, sum_dwellings INTEGER);\n\nINSERT INTO duplex_rs{0}\n  SELECT name, SUM(sum_dwellings) AS sum_dwellings FROM (\n\n    SELECT d.address AS address, SUM(d.sum_dwellings) AS sum_dwellings, n.{2} AS name \n    FROM density{0} d \n    JOIN {1} n ON Intersects(d.geometry, n.geometry) \n    WHERE d.sum_dwellings = 2 \n\tGROUP BY d.address\n\tORDER BY n.{2}\n    ) \n  GROUP BY name;\n"}
{"doc_id": "06fef07a2da3e63ba1dd1949c4a2c45b", "text": "CREATE PROC usp_DeleteEmployeesFromDepartment(@departmentId INT)\r\nAS\r\nBEGIN\r\n    --first delete all records from EmployeesProjects where EmployeeId is in to-be-deleted IDs\r\n\r\n    DELETE\r\n    FROM EmployeesProjects\r\n    WHERE EmployeeID IN (SELECT EmployeeID\r\n                         FROM Employees\r\n                         WHERE DepartmentID = @departmentId);\r\n    --set managerId to null where Manager is an Employee who is going to be deleted\r\n\r\n    UPDATE Employees\r\n    SET ManagerID=NULL\r\n    WHERE ManagerID IN (SELECT EmployeeID\r\n                        FROM Employees\r\n                        WHERE DepartmentID = @departmentId);\r\n--Alter column ManagerId in Departments table and make it nullable\r\n\r\n    ALTER TABLE Departments\r\n        ALTER COLUMN ManagerID int;\r\n\r\n    UPDATE Departments\r\n    SET ManagerID = NULL\r\n    WHERE ManagerID IN (SELECT EmployeeID\r\n                        FROM Employees\r\n                        WHERE DepartmentID = @departmentId);\r\n\r\n    --delete employees from departments\r\n\r\n    DELETE FROM Employees\r\n    WHERE DepartmentID=@departmentId\r\n\r\n    DELETE FROM Departments\r\n    where DepartmentID=@departmentId\r\n\r\n    SELECT count(*)\r\n    FROM Employees\r\n    where DepartmentID=@departmentId\r\n\r\nEND"}
{"doc_id": "07377ee38a8ef393d2e8b4d1c9b9a281", "text": "drop database dav_nest;\ncreate database dav_nest;\nuse dav_nest;\n\nCREATE TABLE users (\n    id INT auto_increment PRIMARY KEY,\n    username VARCHAR(50) NOT NULL,\n    created_at TIMESTAMP default NOW(),\n    updated_at TIMESTAMP default NOW() ON UPDATE NOW()\n);\n\nCREATE TABLE photos (\n    id INT auto_increment PRIMARY KEY,\n    image_url varchar(255) not null,\n    caption VARCHAR(150) NOT NULL,\n    created_at TIMESTAMP default NOW(),\n    updated_at TIMESTAMP default NOW() ON UPDATE NOW(),\n    user_id INT NOT NULL,\n    FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE ON UPDATE CASCADE\n);\n\nCREATE TABLE comments (\n    id INT auto_increment PRIMARY KEY,\n    comment_text VARCHAR(255) NOT NULL,\n    created_at TIMESTAMP default NOW(),\n    updated_at TIMESTAMP default NOW() ON UPDATE NOW(),\n    user_id INT NOT NULL,\n    photo_id INT NOT NULL,\n    FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE ON UPDATE CASCADE,\n    FOREIGN KEY (photo_id) REFERENCES photos(id) ON DELETE CASCADE ON UPDATE CASCADE\n);\n\nCREATE TABLE tags (\n    id INT auto_increment PRIMARY KEY,\n    name VARCHAR(150) NOT NULL,\n    created_at TIMESTAMP default NOW(),\n    updated_at TIMESTAMP default NOW() ON UPDATE NOW()\n);\n\nCREATE TABLE photo_tags (\n    created_at TIMESTAMP default NOW(),\n    updated_at TIMESTAMP default NOW() ON UPDATE NOW(),\n    tag_id INT NOT NULL,\n    photo_id INT NOT NULL,\n    FOREIGN KEY (tag_id) REFERENCES tags(id) ON DELETE CASCADE ON UPDATE CASCADE,\n    FOREIGN KEY (photo_id) REFERENCES photos(id) ON DELETE CASCADE ON UPDATE CASCADE,\n    PRIMARY KEY (tag_id, photo_id)\n);\n\nCREATE TABLE likes (\n    created_at TIMESTAMP default NOW(),\n    updated_at TIMESTAMP default NOW() ON UPDATE NOW(),\n    photo_id INT NOT NULL,\n    user_id INT NOT NULL,\n    FOREIGN KEY (photo_id) REFERENCES photos(id) ON DELETE CASCADE ON UPDATE CASCADE,\n    FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE ON UPDATE CASCADE,\n    PRIMARY KEY (user_id, photo_id)\n);\n\nCREATE TABLE follows (\n    follower_id INT NOT NULL,\n    followee_id INT NOT NULL,\n    created_at TIMESTAMP default NOW(),\n    updated_at TIMESTAMP default NOW() ON UPDATE NOW(),\n    FOREIGN KEY (follower_id) REFERENCES users(id) ON DELETE CASCADE ON UPDATE CASCADE,\n    FOREIGN KEY (followee_id) REFERENCES users(id) ON DELETE CASCADE ON UPDATE CASCADE,\n    PRIMARY KEY (follower_id, followee_id)\n);\n"}
{"doc_id": "07668257dd94e68ff29609060f9ab5a6", "text": "use books_db; /*Using the database which is already created*/\nselect database();\n\nINSERT INTO books\n    (title, author_fname, author_lname, released_year, stock_quantity, pages)\n    VALUES ('10% Happier', 'Dan', 'Harris', 2014, 29, 256), \n           ('fake_book', 'Freida', 'Harris', 2001, 287, 428),\n           ('Lincoln In The Bardo', 'George', 'Saunders', 2017, 1000, 367);\n\nSELECT title FROM books;\n\n/*distinct*/\n/*Using distinct to avoid duplicates*/\nselect distinct author_lname from books;\nselect distinct released_year from books;\n\n/*It selects the distinct fields*/\n/*If one field is differnt from another and we selected both using \"destinct\" word under single \"select\" then\nit will select both the fields because no all fields are identical that are selected using\n\"select\"*/\nselect distinct author_fname, author_lname from books;\n\n/*distinct using concat*/\nselect distinct concat(author_fname, ' ', author_lname) as 'Author name' from books;\n\n/*order by/\n/*Sorting using 'order by'*/\nselect author_lname from books order by author_lname; /*By default it is ascending*/\n\n/*Sort using 'order by' in descending order*/\nselect author_lname from books order by author_lname desc;\n\nselect released_year from books order by released_year;\nselect released_year from books order by released_year desc;\n\nselect title, released_year, pages from books order by released_year;\nselect title, pages from books order by released_year; /*We can also sort without printing that field*/\n\n/*We can set 'order by' using index of the selected field*/\nselect title, author_fname, author_lname from books order by 2;\n\n/*sorting or ordering by two different columns or fields*/\n/*Sometimes it is happen that john comes before james because we have sorted using onky the last name and\nnot by using both last name and first name. To overcome this we are sorting using both the fields*/\nselect title, author_fname, author_lname from books order by author_fname, author_lname;\n\n/*limit*/\n/*Limit the number of results that we are selecting*/\nselect * from books limit 3;\nselect title from books limit 5;\n\n/*Limit the results using order by with limit*/\nselect title, released_year from books order by released_year desc limit 3;\n\n/*limit by specifying starting point and how many results we want*/\nselect title, released_year from books order by released_year desc limit 0, 5;\nselect title, released_year from books order by released_year desc limit 2, 5;\n\n/*To choose item at specific index*/\nselect title, released_year from books order by released_year desc limit 8, 1;\n\n/*To get the items from starting index to the end of the table we specify a giant number*/\nselect title, released_year from books limit 5, 1442545533334;\n\n/*like*/\n/*For better searching our data*/\n/*To search field containing that characters or words*/\nselect * from books where author_fname like '%da%';\nselect title from books where author_fname like '%da%';\n\n/*To search field starting with the characters or words*/\nselect * from books where author_fname like 'da%';\n\n/*To search fields containing exactly characters or words*/\nselect * from books where author_fname like 'dan';\n\n/*To search fields ending with the characters or words*/\nselect * from books where author_fname like '%da';\n\n/*More wildcards*/\n/*'_' specifies the exactly one character. One underscore means one character*/\n/*Query to find the field containing exact number of characters*/\nselect * from books where stock_quantity like '____';\n\n/*'%' percent sign means anything*/\nselect * from books where stock_quantity like '%';\n\n/*'/' backSlash is used as escape character*/\n/*To select the title containing % sign*/\nselect title from books where title like '%\\%%';\n\n/*To select the title containing _ sign*/\nselect title from books where title like '%\\_%';"}
{"doc_id": "076d6c1934c2fef0f63b04d46e12d4d4", "text": "--\n-- $ psql \n-- gpadmin=# CREATE USER pivotal WITH SUPERUSER LOGIN;\n-- CREATE ROLE\n-- gpadmin=# ALTER ROLE pivotal WITH PASSWORD 'pivotal';\n-- ALTER ROLE\n-- gpadmin=# CREATE DATABASE gemfire;\n-- CREATE DATABASE\n-- gpadmin=# GRANT ALL ON DATABASE gemfire TO pivotal;\n-- GRANT\n-- \\q\n--\n--\n--\ndrop table if exists POS_DEVICE cascade;\ncreate table POS_DEVICE (\t\n\tid\tbigint ,\n\tlocation text,\n\tmerchant_name\ttext\n) distributed by (id);\t\t\n \n\ndrop table if exists TRANSACTION cascade;\ncreate table TRANSACTION (\t\t\n\tid bigint,\n\tdevice_id\t bigint,\n\ttransaction_value decimal(10,2),\n\taccount_id bigint,\n\tts_millis bigint\n) distributed by (id);\n\n\ndrop table if exists ZIP_CODES cascade;\nCREATE TABLE ZIP_CODES \n\t(ZIP char(5), LATITUDE double precision, LONGITUDE double precision, \n\tCITY varchar, STATE char(2), COUNTY varchar, NAME varchar);\n\t\nCOPY zip_codes FROM '/home/gpadmin/zip_codes_states.csv' DELIMITER ',' CSV HEADER;\n\ndrop table if exists SUSPECT ;\ncreate table SUSPECT (\t\t\n\ttransaction_id bigint,\n\tdevice_id\t bigint,\t\n\tmarked_suspect_ts_millis\t bigint,\n\treason text,\n\tmarked int\n) distributed by (transaction_id);\n\n---\n\ncreate view suspect_view as (select t.*,marked_suspect_ts_millis,s.reason,s.marked \nfrom transaction t left join suspect s on t.id=s.transaction_id);\n\n\ndrop table if exists pos_data cascade;\ncreate table pos_data as\nwith single_codes as (SELECT DISTINCT ON (z.county,z.state) z.latitude, z.longitude, z.county,z.name as state from zip_codes z where z.latitude is not null)\nselect p.*, z.latitude, z.longitude from pos_device p, single_codes z where \nsplit_part(p.location, ' ', 1) like z.county and trim(split_part(p.location, ',', 2)) like z.state;\n\n\ndrop view transaction_info;\ncreate view transaction_info as\nWITH suspect_device as (select t.device_id as device_id, count(t.id) as suspect_count from transaction t LEFT OUTER JOIN suspect s ON (t.id=s.transaction_id) group by t.device_id),\ndevice_data as ( select d.*, suspect_device.suspect_count from pos_data d left outer join suspect_device on (suspect_device.device_id = d.id) ) ,\nhome_location as ( select distinct on (t.account_id) t.account_id  as account_id, count(p.location) as location_count,p.location as location from pos_data p, transaction t where p.id=t.device_id group by t.account_id, p.location order by t.account_id,count(p.location) desc  ),\nhome_latlong as (select h.account_id as account_id, p.latitude as latitude, p.longitude as longitude from home_location h, pos_data p where p.location=h.location),\navg_txn_value as (select account_id, avg(transaction_value) as avg_value from transaction group by account_id),\nelapsed_time as (select id,coalesce((ts_millis)-lag(ts_millis) over (PARTITION BY account_id ORDER BY ts_millis asc) ,1) as elapsed_ms from transaction order by account_id,ts_millis desc),\nprev_txn as (select t.id,lag(t.id) over (PARTITION BY account_id ORDER BY ts_millis asc) as prev_id, lag(p.longitude) over (PARTITION BY account_id ORDER BY ts_millis asc) as prev_longitude,lag(p.latitude) over (PARTITION BY account_id ORDER BY ts_millis asc) as prev_latitude from transaction t, pos_data p where p.id = t.device_id order by account_id,ts_millis desc)\nselect t.*,coalesce(s.marked,0) as marked,st_distance_sphere(st_point(h.longitude,h.latitude),st_point(d.longitude,d.latitude))/1000 as DistanceKM,\n(t.transaction_value-a.avg_value)/a.avg_value as percentage,a.avg_value,et.elapsed_ms,coalesce(pr.prev_id,t.id) as prev_id,coalesce(st_distance_sphere(st_point(d.longitude,d.latitude),st_point(pr.prev_longitude,pr.prev_latitude))/1000,0) as txn_distance\n, coalesce(st_distance_sphere(st_point(d.longitude,d.latitude),st_point(pr.prev_longitude,pr.prev_latitude))/1000 *.621371,0 ) ,(et.elapsed_ms::float /1000/60/60) as mph\nfrom TRANSACTION t left join elapsed_time et on t.id=et.id , home_latlong h, device_data d, avg_txn_value a,suspect_view s,prev_txn pr\nwhere t.account_id = h.account_id and t.device_id = d.id and t.account_id = a.account_id and h.account_id = a.account_id and t.account_id = a.account_id and t.id = s.id and pr.id = t.id and et.elapsed_ms>0 order by t.id;\n\n\n"}
{"doc_id": "076d7f5702ca47f83f1a3af0282a7eab", "text": "--\n--\tSummarize WFLog Data\n--    to show time in each workflow accomplished\n--\n\nSELECT `wfGuid`,\n\t`logClass`,\n\t`wfName`,\n\tROUND(max(`wfMicrotime`)-min(`wfMicrotime`),4) as `Elapsed Time` from `wflog`\nwhere `logClass` = 'SF'\ngroup by `wfGuid`;\n\n\nDROP TABLE IF EXISTS `wfStats`;\nCREATE TEMPORARY TABLE IF NOT EXISTS `wfStats`\n( `wfGuid` VARCHAR(64), `wfName`  VARCHAR(64), `eTime` DOUBLE)\nSELECT\n\t`wfGuid`,\n\t`wfName`,\n\tROUND (max(`wfMicrotime`)-min(`wfMicrotime`),4) as `Elapsed Time`\nFROM `wflog`\nWHERE `logClass` = 'SF'\n\tAND `createdDate` >= '2019-04-19'\nGROUP BY `wfGuid`;\nSELECT * FROM `wfStats`;\nSELECT\n\t`wfName`,\n    COUNT(*) as `count`,\n\tAVG (`Elapsed Time`) as `avgTime`\nFROM `wfStats`\nGROUP BY `wfName`\nORDER BY `wfName`;\n\n-- Report performance\nSELECT `wfGuid`,\n    `logClass`,\n\t`wfName`,\n\t`logAfterData`,\n\t(CASE\n\t    WHEN `logAfterData` REGEXP '^{\"count\":\\s*[0-9]+}$'\n\t    THEN\n--   \t    CONVERT (REGEXP_SUBSTR(`logAfterData`,'[0-9]+'), SIGNED)\n--  the preceding doesn't work on MySQL 5.x\n     \t\tCONVERT (TRIM(SUBSTR(`logAfterData`,10,LENGTH(`logAfterData`)-10)), SIGNED)\n    \tELSE\n    \t    NULL\n\tEND) AS `pt_count` ,\n\tROUND(max(`wfMicrotime`)-min(`wfMicrotime`),4) as `Elapsed Time` from `wflog`\nwhere `logClass` = 'RP'\ngroup by `wfGuid`;\n\nSELECT min(`createdDate`) as 'StartTime', max(`createdDate`) as `EndDate`\n\tFROM `wflog`;\n"}
{"doc_id": "07759a6503fcbe28d01950099ffeb221", "text": "-- SELECT * FROM\n-- customers\n-- WHERE birth_date > '1990-01-01'\n-- AND points > 1000;\n\n-- SELECT * FROM\n-- customers\n-- WHERE birth_date > '1990-01-01'\n-- OR points > 1000;\n\n-- SELECT * FROM\n-- customers\n-- WHERE (birth_date > '1990-01-01')\n-- OR \n-- (points > 1000 AND state = 'VA');\n\n-- EVALUATIO ORDER (AND -> OR)\n\n-- SELECT * FROM\n-- customers\n-- WHERE NOT (birth_date > '1990-01-01'\n-- OR points > 1000)\n\n-- Exercise: From the order_items table, get the items for order #6\n-- where the total price is greater than 30\n\nSELECT * FROM order_items \nWHERE order_id = 6\nAND\n(unit_price * quantity) > 30\n\n"}
{"doc_id": "07830e658107b6daec25769a7aaaa5a5", "text": "# Author: Jonatas Cruz\n# https://github.com/jonataspc/mysql-scripts\n\nDELIMITER $$\n\nDROP PROCEDURE IF EXISTS `TablesAutoIncrementUsage`$$\n\nCREATE\n    \n    PROCEDURE `TablesAutoIncrementUsage`()\n    DETERMINISTIC\n      COMMENT 'Get tables auto increment usage ' \n\tBEGIN\n\nDECLARE _table_schema VARCHAR(64); \nDECLARE _table_name VARCHAR(64);\nDECLARE _column_name VARCHAR(64);\nDECLARE _data_type VARCHAR(64);\nDECLARE _column_type LONGTEXT;\nDECLARE done INT DEFAULT 0;\nDECLARE _maxValueSigned BIGINT UNSIGNED; \n\nDECLARE op_cursor CURSOR FOR\nSELECT table_schema, table_name, column_name, column_type, UPPER(data_type) AS data_type FROM information_schema.COLUMNS \nJOIN information_schema.TABLES USING (table_schema, table_name)\nWHERE table_schema NOT IN ('mysql','information_schema','performance_schema') AND extra LIKE '%auto_increment%' AND information_schema.TABLES.ENGINE <> 'FEDERATED'\nORDER BY table_schema, table_name, column_name ;\n\nDECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1;\nOPEN op_cursor;\n\n-- temp table to store the statistics\nDROP TEMPORARY TABLE IF EXISTS tmp_auto_increment_usage;\nCREATE TEMPORARY TABLE tmp_auto_increment_usage (table_schema VARCHAR(64) NOT NULL, table_name VARCHAR(64) NOT NULL, column_name VARCHAR(64) NOT NULL, column_type LONGTEXT NOT NULL, current_id BIGINT UNSIGNED NOT NULL, usage_percentage DECIMAL(8,5));\n\nREPEAT\nFETCH op_cursor INTO _table_schema, _table_name, _column_name, _column_type, _data_type;\n\nIF NOT done THEN\n\t\n\tSET @query = CONCAT('SELECT MAX(`', _column_name, '`) INTO @current_id FROM `', _table_schema, '`.`', _table_name, '`; ');\n\tPREPARE statement1 FROM @query;\n\tEXECUTE statement1;\t\n\t\n\tIF @current_id IS NULL THEN\n\t\tSET @current_id = 0;\n\tEND IF;\n\t\t\n\t# check datatype limits\n\tCASE _data_type\n\tWHEN 'TINYINT' THEN \n\t\tSET _maxValueSigned = 127;\n\tWHEN 'SMALLINT' THEN \n\t\tSET _maxValueSigned = 32767;\n\tWHEN 'MEDIUMINT' THEN \n\t\tSET _maxValueSigned = 8388607;\n\tWHEN 'INT' THEN \n\t\tSET _maxValueSigned = 2147483647;\n\tWHEN 'BIGINT' THEN \n\t\tSET _maxValueSigned = 9223372036854775807;\n\tELSE\n\t\tSET _maxValueSigned  = 0;\n\tEND CASE;\t\n\t\n\tIF LOWER(_column_type) LIKE '%unsigned%' THEN\n\t\tSET _maxValueSigned  = (_maxValueSigned * 2) + 1;\n\tEND IF;\n\n\tSET @usage_percentage = 100 * @current_id / _maxValueSigned; \n\t\n\tINSERT INTO tmp_auto_increment_usage VALUES (_table_schema, _table_name, _column_name, _column_type, @current_id, @usage_percentage);\n\t\nEND IF;\nUNTIL done END REPEAT;\nCLOSE op_cursor;\n \nSELECT * FROM tmp_auto_increment_usage ORDER BY table_schema, table_name, column_name ;\nDROP TEMPORARY TABLE tmp_auto_increment_usage;\n\n\n\tEND$$\n\nDELIMITER ;\n"}
{"doc_id": "07889cab552a443a8b93fbae7e15adb5", "text": "#1) List all employees, i.e. all tuples in the jbemployee relation.\nselect e1.name as Manager,e2.name as Employee, e2.salary,e2.birthyear,e2.startyear\n from jbemployee e1,jbemployee e2 where e2.manager = e1.id;\n\n#2) List the name of all departments in alphabetical order. Note: by \u201cname\u201d we mean the name attribute for all tuples in the jbdept relation.\nselect * from kespa139.jbdept where id is not null order by name;\n\n#3) What parts are not in store, i.e. qoh = 0? (qoh = Quantity On Hand)\nselect * from kespa139.jbparts where id is not null and qoh = 0;\n\n#4) Which employees have a salary between 9000 (included) and 10000 (included)?\nselect * from kespa139.jbemployee where id is not null and  salary between 9000 and 10000 order by salary;\n\n#5) What was the age of each employee when they started working (startyear)?\nselect *, startyear-birthyear as age from kespa139.jbemployee where id is not null;\n\n#6) Which employees have a last name ending with \u201cson\u201d?\nselect * from kespa139.jbemployee where substring(name, 1, position(\",\" IN Name)-1)like '%son' and id is not null;\n\n#7) Which items (note items, not parts) have been delivered by a supplier called Fisher-Price? Formulate this query \n#using a subquery in the where-clause.\nselect * from kespa139.jbitem where supplier in (select id from kespa139.jbsupplier where id is not null and lower(trim(name)) = \"fisher-price\");\n\n#8) Formulate the same query as above, but without a subquery.\nselect item.*, supplier.name from kespa139.jbitem item inner join kespa139.jbsupplier supplier \non item.supplier = supplier.id\nwhere lower(trim(supplier.name)) = \"fisher-price\";\n\n#9) Show all cities that have suppliers located in them. Formulate this query using a subquery in the where-clause.\nselect count(*) from kespa139.jbcity where id in (select distinct city from  kespa139.jbsupplier);\n\n#10) What is the name and color of the parts that are heavier than a card reader? Formulate this query using a subquery \n#in the where-clause. (The SQL query must not contain the weight as a constant.)\nselect name, color  from kespa139.jbparts where weight > \n(select weight from kespa139.jbparts where lower(trim(name)) = 'card reader' ) ;\n\n#11) Formulate the same query as above, but without a subquery. (The query must not contain the weight as a constant.)\nselect p1.name, p1.color from kespa139.jbparts p1,kespa139.jbparts p2\nwhere p1.weight > p2.weight and lower(trim(p2.name)) = 'card reader' ;\n\n#12) What is the average weight of black parts?\nselect color, avg(weight) as avg_weight from kespa139.jbparts where color = 'black';\n\n#13) What is the total weight of all parts that each supplier in Massachusetts (\u201cMass\u201d) has delivered?\n# Retrieve the name and the total weight for each of these suppliers. \n#Do not forget to take the quantity of delivered parts into account. Note that one row should be returned for each supplier\nselect supplier.name,sum(parts.weight * supply.quan) total_weight from kespa139.jbsupplier supplier inner join kespa139.jbcity city\non supplier.city = city.id\ninner join kespa139.jbsupply supply\non supply.supplier = supplier.id\ninner join kespa139.jbparts parts\non supply.part = parts.id\nwhere lower(trim(city.state)) = \"mass\"\ngroup by supplier.name;\n\n#14)Create a new relation (a table), with the same attributes as the table items using\n#the CREATE TABLE syntax where you define every attribute explicitly (i.e. not\n#as a copy of another table). Then fill the table with all items that cost less than the\n#average price for items. Remember to define primary and foreign keys in your\n#table!\n\nDROP TABLE IF EXISTS  kespa139.jbitems CASCADE;\n\nCREATE TABLE  kespa139.jbitems (\n    id INT,\n    name VARCHAR(20),\n    dept INT NOT NULL,\n    price INT,\n    qoh INT UNSIGNED /* or, if check constraints were enforced: INT CHECK (qoh >= 0)*/,\n    supplier INT NOT NULL,\n    CONSTRAINT pk_item PRIMARY KEY(id)) ENGINE=InnoDB;\n    \nALTER TABLE kespa139.jbitems ADD CONSTRAINT fk_item_dept_n FOREIGN KEY (dept) REFERENCES kespa139.jbdept(id);\n\nALTER TABLE kespa139.jbitems ADD CONSTRAINT fk_item_supplier_n FOREIGN KEY (supplier) REFERENCES kespa139.jbsupplier(id);\n\nINSERT INTO kespa139.jbitems\n(select * from kespa139.jbitem\n\twhere price < (select avg(price) from kespa139.jbitem));\n    \nselect * from kespa139.jbitems;"}
{"doc_id": "080d6bfa5ebc45b0dd7ceb520040b63e", "text": "DROP TABLE IF EXISTS AUTHORITIES;\nDROP TABLE IF EXISTS USERS;\n\nCREATE TABLE USERS (\n\tUSERNAME VARCHAR(50) NOT NULL PRIMARY KEY,\n\tPASSWORD VARCHAR(500) NOT NULL,\n\tENABLED BOOLEAN NOT NULL\n);\n\nCREATE TABLE AUTHORITIES (\n    ID BIGINT(20) NOT NULL AUTO_INCREMENT PRIMARY KEY,\n\tUSERNAME VARCHAR(50) NOT NULL,\n\tAUTHORITY VARCHAR(50) NOT NULL,\n\t\n\tCONSTRAINT FK_AUTHORITIES_USERS FOREIGN KEY (USERNAME) REFERENCES USERS (USERNAME)\n);\n\nCREATE UNIQUE INDEX IX_AUTH_USERNAME ON AUTHORITIES (USERNAME, AUTHORITY);\n\nCREATE TABLE GROUPS (\n\tID BIGINT(20) NOT NULL AUTO_INCREMENT PRIMARY KEY,\n\tGROUP_NAME VARCHAR(50) NOT NULL\n);\n\nCREATE TABLE GROUP_AUTHORITIES (\n    ID BIGINT(20) NOT NULL AUTO_INCREMENT PRIMARY KEY,\n\tGROUP_ID BIGINT(20) NOT NULL,\n\tAUTHORITY VARCHAR(50) NOT NULL,\n\t\n\tCONSTRAINT FK_GROUP_AUTHORITIES_GROUP FOREIGN KEY(GROUP_ID) REFERENCES GROUPS(ID)\n);\n\nCREATE TABLE GROUP_MEMBERS (\n\tID BIGINT(20) NOT NULL AUTO_INCREMENT PRIMARY KEY,\n\tUSERNAME VARCHAR(50) NOT NULL,\n\tGROUP_ID BIGINT(20) NOT NULL,\n\t\n\tCONSTRAINT FK_GROUP_MEMBERS_GROUP FOREIGN KEY(GROUP_ID) REFERENCES GROUPS(ID)\n);"}
{"doc_id": "080ef97e7899ac009825050100e28a1d", "text": "CREATE OR REPLACE FUNCTION ti.getrecentuploads(_months integer DEFAULT 1, _databaseid integer DEFAULT NULL::integer, _datasettypeid integer DEFAULT NULL::integer, _limit integer DEFAULT 400)\n RETURNS TABLE(datasetid integer, datasettype character varying, sitename character varying, geopolitical character varying, databasename character varying, investigator character varying, recdatecreated character varying, steward character varying)\n LANGUAGE sql\nAS $function$\n  SELECT ds.datasetid,\n         dst.datasettype,\n         sts.sitename,\n         case when gp2.geopolname2 is null then gp1.geopolname1\n \t            when gp3.geopolname3 is null then concat(gp1.geopolname1, ' | ', gp2.geopolname2)\n \t            else concat(gp1.geopolname1, ' | ', gp2.geopolname2, ' | ', gp3.geopolname3)\n        \tend as geopolitical,\n          cdb.databasename,\n          STRING_AGG(pic.contactname, '; ') AS investigator,\n          to_CHAR(ds.recdatecreated, 'YYYY/MM/DD') AS recdatecreated,\n   \t\t    STRING_AGG(ct.contactname, '; ') as steward\n  FROM ndb.datasets AS ds\n    INNER JOIN         ndb.datasettypes AS dst ON dst.datasettypeid = ds.datasettypeid\n    INNER JOIN      ndb.collectionunits AS cu  ON ds.collectionunitid = cu.collectionunitid\n    INNER JOIN                ndb.sites AS sts ON cu.siteid = sts.siteid\n    INNER JOIN               ti.geopol1 AS gp1 ON sts.siteid = gp1.siteid\n    INNER JOIN   ndb.datasetsubmissions AS dss ON ds.datasetid = dss.datasetid\n    INNER JOIN ndb.constituentdatabases AS cdb ON dss.databaseid = cdb.databaseid\n    INNER JOIN             ndb.contacts AS ct  ON dss.contactid = ct.contactid\n    INNER JOIN           ndb.datasetpis AS dpi ON dpi.datasetid = ds.datasetid\n    INNER JOIN             ndb.contacts AS pic ON pic.contactid = dpi.contactid\n    LEFT OUTER JOIN          ti.geopol3 AS gp3 ON sts.siteid = gp3.siteid\n    LEFT OUTER JOIN          ti.geopol2 AS gp2 ON sts.siteid = gp2.siteid\n  WHERE\n    (_databaseid IS NULL OR _databaseid = dss.databaseid) AND\n    (dss.recdatecreated >= 'now'::timestamp - CONCAT(_months, ' month')::interval) AND\n    (_datasettypeid IS NULL OR ds.datasettypeid = _datasettypeid)\n  GROUP BY ds.datasetid, dst.datasettype, sts.sitename, gp1.geopolname1, gp2.geopolname2, gp3.geopolname3, cdb.databasename, ds.recdatecreated\n    order by ds.recdatecreated desc\n\n  LIMIT _limit\n$function$\n"}
{"doc_id": "08362da68f4e5fe0e8a59ad818067cae", "text": "with RECURSIVE active_period_params as    \n(\n    select interval '%gap_interval'  as allowed_gap,\n    '%to_yyyy-mm-dd'::date as calc_date\n),\nactive as  \n(\n\tselect distinct account_id, min(start_date) as start_date    \n\tfrom subscription inner join active_period_params \non start_date <= calc_date    \n\t\tand (end_date > calc_date or end_date is null)\n\tgroup by account_id\n\n\tUNION\n\n\tselect s.account_id, s.start_date  \n\tfrom subscription s \n\tcross join active_period_params \n\tinner join active e on s.account_id=e.account_id  \n\t\tand s.start_date < e.start_date  \n\t\tand s.end_date >= (e.start_date-allowed_gap)::date  \n\n) \ninsert into active_period (account_id, start_date, churn_date)     \nselect account_id, min(start_date) as start_date, NULL::date as churn_date  \nfrom active\ngroup by account_id, churn_date  \n"}
{"doc_id": "084512e234b40e7464bc0e46c437bc90", "text": "-- DROP TABLE IF EXISTS results_user_groups_temp;\n-- DROP TABLE IF EXISTS user_groups_temp;\n-- DROP TABLE IF EXISTS user_groups_user_memberships_temp;\n-- DROP TABLE IF EXISTS user_groups_user_memberships;\n-- DROP TABLE IF EXISTS results_user_groups;\n-- DROP TABLE IF EXISTS user_groups_membership_logs;\n-- DROP TABLE IF EXISTS user_groups_membership_logs_temp;\n-- DROP TABLE IF EXISTS user_groups;\n-- ALTER TABLE projects DROP COLUMN organization_name;\n-- ALTER TABLE users DROP COLUMN updated_at;\n-- ALTER TABLE users_temp DROP COLUMN updated_at;\n-- DROP MATERIALIZED VIEW aggregated_project_user_timestampe__task_count_total_time;\n-- DROP MATERIALIZED VIEW aggregated_project_user_group_timestamp__task_count_total_time;\n\n\n---- User Group Tables\nCREATE TABLE IF NOT EXISTS user_groups (\n    user_group_id varchar,\n    name varchar,\n    description text,\n    created_by_id varchar,\n    created_at timestamp,\n    archived_by_id varchar,\n    archived_at timestamp,\n    is_archived boolean,\n    PRIMARY KEY (user_group_id),\n    FOREIGN KEY (created_by_id) REFERENCES users (user_id),\n    FOREIGN KEY (archived_by_id) REFERENCES users (user_id)\n);\n\nCREATE TABLE IF NOT EXISTS user_groups_temp (\n    user_group_id varchar,\n    name varchar,\n    description text,\n    created_by_id varchar,\n    created_at timestamp,\n    archived_by_id varchar,\n    archived_at timestamp,\n    is_archived boolean\n);\n\nCREATE TABLE IF NOT EXISTS user_groups_user_memberships (\n    user_group_id varchar,\n    user_id varchar,\n    is_active boolean,\n    PRIMARY KEY (user_group_id, user_id),\n    FOREIGN KEY (user_id) REFERENCES users (user_id),\n    FOREIGN KEY (user_group_id) REFERENCES user_groups (user_group_id)\n);\n\nCREATE TABLE IF NOT EXISTS user_groups_user_memberships_temp (\n    user_group_id varchar,\n    user_id varchar\n);\n\n-- Used to group results by user groups\nCREATE TABLE IF NOT EXISTS results_user_groups (\n    -- result primary key (not using task_id as it is a flat field in results)\n    project_id varchar,\n    group_id varchar,\n    user_id varchar,\n    -- user group primary key\n    user_group_id varchar,\n    PRIMARY KEY (project_id, group_id, user_id, user_group_id),\n    FOREIGN KEY (project_id) REFERENCES projects (project_id),\n    FOREIGN KEY (user_id) REFERENCES users (user_id),\n    FOREIGN KEY (user_group_id) REFERENCES user_groups (user_group_id),\n    FOREIGN KEY (project_id, group_id) REFERENCES groups (project_id, group_id)\n);\n\n-- create table for user_group_results import through csv\nCREATE TABLE IF NOT EXISTS results_user_groups_temp (\n    project_id varchar,\n    group_id varchar,\n    user_id varchar,\n    user_group_id varchar\n);\n\n\n-- Track user group memberships actions\nCREATE TYPE membership_action AS ENUM ('join', 'leave');\n\nCREATE TABLE IF NOT EXISTS user_groups_membership_logs (\n    membership_id varchar,\n    user_group_id varchar,\n    user_id varchar,\n    action MEMBERSHIP_ACTION,\n    \"timestamp\" timestamp,\n    FOREIGN KEY (user_id) REFERENCES users (user_id),\n    FOREIGN KEY (user_group_id) REFERENCES user_groups (user_group_id)\n);\n\nCREATE TABLE IF NOT EXISTS user_groups_membership_logs_temp (\n    membership_id varchar,\n    user_group_id varchar,\n    user_id varchar,\n    action MEMBERSHIP_ACTION,\n    \"timestamp\" timestamp\n);\n\n\n-- Add organization_name in projects\nALTER TABLE projects ADD COLUMN organization_name varchar;\n\n-- Add updated_at in users\nALTER TABLE users ADD COLUMN updated_at timestamp;\nALTER TABLE users_temp ADD COLUMN updated_at timestamp;\n"}
{"doc_id": "0847249cd9e9cc67102f4ae250927703", "text": "'''\n\u0412\u044b\u0432\u0435\u0441\u0442\u0438 ID \u0430\u043d\u0430\u043b\u0438\u0437\u043e\u0432, \u0443 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0441\u0440\u0435\u0434\u043d\u0435\u043c\u0435\u0441\u044f\u0447\u043d\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0437\u0430\u043a\u0430\u0437\u043e\u0432 \u0431\u043e\u043b\u044c\u0448\u0435 2 \u0432 2020 \u0433\u043e\u0434\u0443.\n'''\n\nSELECT a.an_id,  ROUND(COUNT(*)::NUMERIC / 12, 3) AS cnt\nFROM Orders o\nJOIN Analysis a\nON o.ord_an = a.an_id\nWHERE EXTRACT(YEAR FROM o.ord_datetime) = 2020\nGROUP BY a.an_id\nHAVING COUNT(*)::NUMERIC / 12 > 2\nORDER BY cnt DESC, an_id\n"}
{"doc_id": "085677f2d4d64d4c3bfaa3a367e61b2c", "text": "-- priority search of behaviour observations\n-- most important:  \n-- mood, location and timeslot coincide on tracks which are suitable for mood. \n-- then: mood, location and suitability\n-- then: mood, timeslot and suitability\n-- then: mood and suitability\n-- then: mood and unsuitable\n-- joins with generic tracks so we get comprehensive output\n\n-- ?1 mood_id,\n-- ?2 timeslot_id,\n-- ?3 postcode_id,\n-- ?4 lat,\n-- ?5 lon,\n-- ?6 limit_m_l_t_s,\n-- ?7 limit_m_t_s,\n-- ?8 limit_m_l_s,\n-- ?9 limit_m_s,\n-- ?10 limit_t_s,\n-- ?11 limit_m_u_s\n\nwith \npriorities as (\nWITH T(priority) AS (\nVALUES (1),(2),(3),(4),(5),(6)\n)\nSELECT * FROM T\n), \nm_l_t_s as\n(\nselect \nt1.*\n,t2.priority\n,(\n(?4 - t1.location_lat) * (?4 - t1.location_lat) \n+\n(?5 - t1.location_lon) * (?5 - t1.location_lon)) \nas dist\nfrom observations t1 join priorities t2 on\nt2.priority = 1 \nAND \nt1.mood_id = ?1 \nAND t1.mood_suitable = 'true'\nAND t1.timeslot = ?2\nAND t1.location_code = ?3 -- filter first on postcode\nORDER BY  \ndist ASC, -- ordering by something related to distance from specified location -- closest first\nt1.timestamp_ms DESC -- oldest first\nLIMIT ?6\n),\nm_l_s as\n(\nselect t1.*,t2.priority\n,(\n(?4 - t1.location_lat) * (?4 - t1.location_lat) \n+\n(?5 - t1.location_lon) * (?5 - t1.location_lon)) \nas dist \nfrom observations t1 join priorities t2 on \nt2.priority = 2 \nAND t1.mood_id = ?1 \nAND t1.mood_suitable = 'true'\nAND NOT t1.timeslot = ?2\nAND t1.location_code = ?3 -- filter first on postcode\nORDER BY -- ordering by something related to distance from specified location - closest first\ndist ASC, t1.timestamp_ms ASC -- favour oldest first\nLIMIT ?8\n)\n,\nm_t_s as\n(\nselect t1.*,t2.priority from observations t1 join priorities t2 on \nt2.priority = 3 \nAND t1.mood_id = ?1 \nAND t1.mood_suitable = 'true'\nAND t1.timeslot = ?2\nAND NOT t1.location_code = ?3 \nORDER BY t1.timestamp_ms ASC -- favour oldest first\nLIMIT ?7\n)\n,\nm_s as\n(\nselect t1.*,t2.priority from observations t1 join priorities t2 on \nt2.priority = 4 \nAND t1.mood_id = ?1 \nAND t1.mood_suitable = 'true'\nAND NOT t1.timeslot = ?2 \nAND NOT t1.location_code = ?3\nORDER BY t1.timestamp_ms ASC -- favour_oldest first\nLIMIT ?9\n)\n,\nt_s as\n(\nselect \nt1.*\n,t2.priority\nfrom observations t1 join priorities t2 on\nt2.priority = 5 \nAND t1.mood_suitable = 'true'\nAND t1.timeslot = ?2\nORDER BY t1.timestamp_ms -- favour oldest first\nLIMIT ?10\n),\nm_u_s as\n(\nselect t1.*,t2.priority from observations t1 join priorities t2 on \nt2.priority = 6 \nAND t1.mood_id = ?1 \nAND t1.mood_suitable = 'false'\nAND NOT t1.timeslot = ?2 \nAND NOT t1.location_code = ?3\nORDER BY t1.timestamp_ms ASC -- favour_oldest first\nLIMIT ?11\n)\n,\ncollation as\n(\nselect t1.timestamp_ms, t1.mood_id, t1.timeslot, t1.location_lat, t1.location_lon, t1.location_code, t1.track_percent, t1.num_repeats, t1.mood_suitable, t1.track, t1.priority from m_l_t_s t1\nUNION ALL\nselect t1.timestamp_ms, t1.mood_id, t1.timeslot, t1.location_lat, t1.location_lon, t1.location_code, t1.track_percent, t1.num_repeats, t1.mood_suitable, t1.track, t1.priority  from m_l_s t1\nUNION ALL\nselect t1.timestamp_ms, t1.mood_id, t1.timeslot, t1.location_lat, t1.location_lon, t1.location_code, t1.track_percent, t1.num_repeats, t1.mood_suitable, t1.track, t1.priority  from m_t_s t1\nUNION ALL\nselect t1.timestamp_ms, t1.mood_id, t1.timeslot, t1.location_lat, t1.location_lon, t1.location_code, t1.track_percent, t1.num_repeats, t1.mood_suitable, t1.track, t1.priority  from m_s t1\nUNION ALL\nselect t1.timestamp_ms, t1.mood_id, t1.timeslot, t1.location_lat, t1.location_lon, t1.location_code, t1.track_percent, t1.num_repeats, t1.mood_suitable, t1.track, t1.priority  from t_s t1\nUNION ALL\nselect t1.timestamp_ms, t1.mood_id, t1.timeslot, t1.location_lat, t1.location_lon, t1.location_code, t1.track_percent, t1.num_repeats, t1.mood_suitable, t1.track, t1.priority  from m_u_s t1\n)\nselect * from collation;\n\n\n\n\n"}
{"doc_id": "085a2c2c0a4430ddc323afc60d66231d", "text": "-- Section1\ncreate trigger t1\nafter insert on order_details\nfor each row\n  begin\n\n    update products\n    set products.quantity_in_stock = products.quantity_in_stock - NEW.quantity_ordered\n    where products.id = new.product_id;\n  end;\n$$\ncreate trigger t2\n  after update on order_details\n  for each row\n  begin\n\n      update products\n      set products.quantity_in_stock = products.quantity_in_stock - new.quantity_ordered + OLD.quantity_ordered\n      where products.id = NEW.product_id;\n  end;\n$$\ncreate trigger t3\n  after delete on order_details\n  for each row\n  begin\n\n    update products\n      set products.quantity_in_stock = products.quantity_in_stock + OLD.quantity_ordered\n    where products.id = OLD.product_id;\n\n  end;\n-- Section2\ncreate view view1\n  as select products.id, products.name, sum(quantity_ordered), sum(quantity_ordered * (price_each - buy_price))\n    from products inner join order_details on products.id = order_details.product_id group by products.id;\n-- Section3\ncreate procedure proc1(in x date, out total int)\nbegin\n\n  select COUNT(*) into total from orders inner join payments\n    on payments.order_id = orders.id where orders.order_date < x and payments.id is null;\n\n  delete from order_details where order_id in (select id from orders where orders.order_date < x and id not in (\n    select payments.order_id from payments));\n\n    delete from orders where orders.order_date < x and id not in (\n    select payments.order_id from payments);\n\nend;\n\n-- Section4\ncreate trigger t4\n  after insert on payments\n  for each row\n  begin\n\n    if (NEW.payment_type = 'cash') then\n\n      update orders set orders.shipped_date = NEW.payment_date where orders.id = NEW.order_id and orders.shipped_date is null;\n\n    end if;\n\n  end ;\n\n-- Section5\ncreate procedure proc2(in x int)\nbegin\n  select products.id, products.name\n  from products\n  where products.id in\n        (\n            select order_details.product_id from order_details group by order_details.product_id having sum(quantity_ordered) > x\n        );\nend;"}
{"doc_id": "08685ad460b445e375b592d69a12039a", "text": "/* SIDE NOTE: Compare performance of the query rows by using Explain Icon first (Before Indexing and After Indexing)*/\n\n/* Create index on accident_index as it is using in both vehicles and accident tables and join clauses using indexes will perform faster */\nCREATE INDEX accident_index\nON accident(accident_index);\n\nCREATE INDEX accident_index\nON vehicles(accident_index);\n\n\n/* get Accident Severity and Total Accidents per Vehicle Type */\nSELECT vt.vehicle_type AS 'Vehicle Type', a.accident_severity AS 'Severity', COUNT(vt.vehicle_type) AS 'Number of Accidents'\nFROM accident a\nJOIN vehicles v ON a.accident_index = v.accident_index\nJOIN vehicle_types vt ON v.vehicle_type = vt.vehicle_code\nGROUP BY 1\nORDER BY 2,3;\n\n/* Average Severity by vehicle type */\nSELECT vt.vehicle_type AS 'Vehicle Type', AVG(a.accident_severity) AS 'Average Severity', COUNT(vt.vehicle_type) AS 'Number of Accidents'\nFROM accident a\nJOIN vehicles v ON a.accident_index = v.accident_index\nJOIN vehicle_types vt ON v.vehicle_type = vt.vehicle_code\nGROUP BY 1\nORDER BY 2,3;\n\n\n/* Average Severity and Total Accidents by Motorcyle */\nSELECT vt.vehicle_type AS 'Vehicle Type', AVG(a.accident_severity) AS 'Average Severity', COUNT(vt.vehicle_type) AS 'Number of Accidents'\nFROM accident a\nJOIN vehicles v ON a.accident_index = v.accident_index\nJOIN vehicle_types vt ON v.vehicle_type = vt.vehicle_code\nWHERE vt.vehicle_type LIKE '%otorcycle%'\nGROUP BY 1\nORDER BY 2,3;\n"}
{"doc_id": "08a485ff5b6db0063d15622ea92daea6", "text": "CREATE OR ALTER PROCEDURE dbo.prc_Perf_AggressiveLockingIndexes\nAS\nBEGIN\n/*\n**\tThis proc returns the TOP aggressive indexes on all the databases for the current server.\n\tThe filters are:\n\t\t1.\tMore than 1000 page_lock_wait_count or row_lock_wait_count \n\t\t2.\tMore than 5 minutes of total row_lock + page_lock \n\t\t3.\tDISTINCT TOP 10 AVG row_lock and page_lock\n\n** 02/14/2013\tMatias Sincovich\tCreated\n*/\n--Aggressive Locking Indexes - Those that wait often on latches (finding the data) and locking (state of the data)\n--There is serious contention for these indexes. This is affecting the application by slowing it down waiting on other processes.\n--Is there excessive use of serializable transactions? Maybe use READPAST hint instead for SELECT statements.\n\tSELECT TOP (100)\n\t\tDB_NAME(o.database_id) DatabaseName,\n\t\tOBJECT_SCHEMA_NAME(o.object_id, o.database_id) SchemaName,\n\t\tOBJECT_NAME(o.object_id, o.database_id) ObjectName,\n\t\to.index_id,\n\t\ti.name as IndexName,\n\t\t--o.partition_number, \n\t\to.range_scan_count ,\n\t\to.page_lock_wait_count, \n\t\to.page_lock_wait_in_ms,\n\t\to.row_lock_wait_count,\n\t\to.row_lock_wait_in_ms,\n\t\to.page_latch_wait_count,\n\t\to.page_latch_wait_in_ms,\n\t\to.page_io_latch_wait_count,\n\t\to.page_io_latch_wait_in_ms,\n\t\to.page_lock_wait_in_ms/NULLIF(o.page_lock_wait_count,0) as AVG_page_lock_wait,\n\t\to.row_lock_wait_in_ms/NULLIF(o.row_lock_wait_count,0) as AVG_row_lock_wait,\n\t\to.index_lock_promotion_attempt_count,\n\t\to.index_lock_promotion_count,\n\t\tcase o.page_lock_wait_count when 0 then 0 else o.page_lock_wait_in_ms/o.page_lock_wait_count End\n\t\t+ case o.row_lock_wait_count when 0 then 0 else o.row_lock_wait_in_ms/o.row_lock_wait_count end \n\t\t+ case o.page_latch_wait_count when 0 then 0 else o.page_latch_wait_in_ms/o.page_latch_wait_count End\n\t\t+ case o.page_io_latch_wait_count when 0 then 0 else o.page_io_latch_wait_in_ms/o.page_io_latch_wait_count end as total_avg\n\t--FROM sys.dm_db_index_operational_stats (NULL, NULL, NULL, NULL) o\n\tFROM sys.dm_db_index_operational_stats (DB_ID(), NULL, NULL, NULL) o\n\tINNER JOIN sys.indexes i ON i.object_id = o.object_id AND i.index_id = o.index_id\n\twhere --index_id = 0 AND\n\tOBJECT_NAME(o.object_id, o.database_id) <> 'syspublications' AND\n\tOBJECTPROPERTY(o.object_id,'IsUserTable') = 1 AND\n\t( (o.page_latch_wait_count > 1000 OR o.page_io_latch_wait_count > 2000 OR o.page_lock_wait_count > 1000 OR o.row_lock_wait_count > 1000 )--High latch or lock waits\n\t\t\tOR (o.page_lock_wait_in_ms + o.row_lock_wait_in_ms)/1000/60>2--Number of minutes total it waited.\n\t\t)\n\t--AND DB_NAME(o.database_id) not in ('tempdb','msdb', 'master')\n\tORDER BY total_avg DESC, o.index_lock_promotion_attempt_count DESC\nEND"}
{"doc_id": "08aba1224fb13c6835ba366723d29903", "text": "-- Type: channel_type\n\n-- DROP TYPE IF EXISTS server.channel_type;\n\nCREATE TYPE server.channel_type AS ENUM\n    ('text', 'forum');\n\nALTER TYPE server.channel_type\n    OWNER TO masaryk;\n\n-- Table: server.channels\n\n-- DROP TABLE server.channels;\n\nCREATE TABLE server.channels\n(\n    guild_id bigint NOT NULL,\n    category_id bigint,\n    id bigint NOT NULL,\n    \"name\" character varying(100) COLLATE pg_catalog.\"default\" NOT NULL,\n    \"type\" server.channel_type NOT NULL,\n    created_at timestamp with time zone NOT NULL DEFAULT now(),\n    edited_at timestamp with time zone,\n    deleted_at timestamp with time zone,\n    CONSTRAINT channels_pkey PRIMARY KEY (id),\n    CONSTRAINT channels_fkey_category FOREIGN KEY (category_id)\n        REFERENCES server.categories (id) MATCH SIMPLE\n        ON UPDATE NO ACTION\n        ON DELETE NO ACTION,\n    CONSTRAINT channels_fkey_guild FOREIGN KEY (guild_id)\n        REFERENCES server.guilds (id) MATCH SIMPLE\n        ON UPDATE NO ACTION\n        ON DELETE NO ACTION\n)\n\nTABLESPACE pg_default;\n\nALTER TABLE server.channels\n    OWNER to masaryk;\n-- Index: fki_channels_fkey_category\n\n-- DROP INDEX server.fki_channels_fkey_category;\n\nCREATE INDEX fki_channels_fkey_category\n    ON server.channels USING btree\n    (category_id ASC NULLS LAST)\n    TABLESPACE pg_default;\n-- Index: fki_channels_fkey_guild\n\n-- DROP INDEX server.fki_channels_fkey_guild;\n\nCREATE INDEX fki_channels_fkey_guild\n    ON server.channels USING btree\n    (guild_id ASC NULLS LAST)\n    TABLESPACE pg_default;\n"}
{"doc_id": "08c472a01fc166f4db50011903a09522", "text": "select b.title, c.book_id, c.branch_id, l.branch_name\r\nfrom book b, book_copies c, library_branch l\r\nwhere b.book_id = c.book_id and c.branch_id=l.branch_id\r\nand (c.book_id, c.branch_id ) in (select c.book_id, c.branch_id from book_copies c group by c.book_id, c.branch_id);\r\n\r\nselect bl.card_no, b.title\r\nfrom book_lending bl, book b\r\nwhere b.book_id=bl.book_id and bl.date_out between '01-jan-17' and '30-jun-17'\r\nand bl.card_no in (select card_no from book_lending group by card_no having count(card_no)>3);\r\n\r\ncreate view books_part as\r\n\tselect pub_year from book;\r\n\r\ncreate view book_no_copies as\r\n\tselect b.title, c.no_of_copies\r\n\tfrom book b, book_copies c\r\n\twhere b.book_id = c.book_id;\r\n\r\nselect count(customer_id)\r\nfrom customer \r\nwhere grade > (select avg(grade) from customer where city='bangalore');\r\n\r\nselect s.salesman_id, s.name\r\nfrom salesman s, customer c\r\nwhere s.salesman_id = c.salesman_id\r\ngroup by s.salesman_id, s.name\r\nhaving count(customer_id)>0;\r\n\r\n(select s.name, s.salesman_id, c.customer_name\r\nfrom salesman s, customer c\r\nwhere s.salesman_id=c.salesman_id and s.city=c.city)\r\nunion\r\n(select s.name, s.salesman_id, 'No Customer'\r\nfrom salesman s, customer c\r\nwhere s.salesman_id=c.salesman_id and s.city!=c.city);\r\n\r\ncreate view max_order as\r\n\tselect s.salesman_id, o.purchase_amt, o.ord_date\r\n\tfrom orders o, salesman s\r\n\twhere s.salesman_id = o.salesman_id;\r\nselect *\r\nfrom max_order h\r\nwhere h.purchase_amt in (select max(h1.purchase_amt) from max_ord h1 where h.ord_date=h1.ord_date);\r\n\r\nselect m.mov_title\r\nfrom movies m, director d\r\nwhere d.dir_id=m.dir_id and d.dir_name='hitchcock';\r\n\r\nselect m.mov_title, a.act_name\r\nfrom movies m, movie_cast c, actor a\r\nwhere m.mov_id=c.mov_id and a.act_id=c.act_id\r\nand a.act_id in (select act_id from movie_cast group by act_id having count(mov_id)>1);\r\n\r\n(select a.act_name from actor a\r\njoin movie_cast m on a.act_id=m.act_id\r\njoin movies m1 on m.mov_id=m1.mov_id \r\nwhere m1.mov_year < 2000)\r\nintersect\r\n(select a.act_name from actor a\r\njoin movie_cast m on a.act_id=m.act_id\r\njoin movies m1 on m.mov_id=m1.mov_id \r\nwhere m1.mov_year > 2015);\r\n\r\nselect m.mov_title, max(r.rev_stars)\r\nfrom movies m, rating r\r\nwhere m.mov_id=r.mov_id\r\nand r.rev_stars in (select rev_stars from rating where rev_stars>1)\r\ngroup by m.mov_title\r\norder by m.mov_title;\r\n\r\nupdate rating set rev_stars=5\r\n\twhere mov_id in (select mov_id from movies where dir_id in (select dir_id from director where dir_name='hitchcock'));\r\n\r\nselect s.sname, c.ssid\r\nfrom student s, semsec ss, class c\r\nwhere s.usn=c.usn and ss.ssid=c.ssid\r\norder by ss.ssid asc;\r\n\r\nselect ss.sem, ss.sec, s.gender, count(s.gender)\r\nfrom semsec ss, student s, class c\r\nwhere ss.ssid=c.ssid and s.usn=c.usn\r\ngroup by ss.sem, ss.sec, s.gender\r\norder by ss.sem, ss.sec;\r\n\r\ncreate view marks_stud as\r\n\tselect test1, usn from iamarks where usn='1mv16cs130';\r\nselect * from marks_stud;\r\n\r\n"}
{"doc_id": "08fc07c6d2b271d8100ca950c4549960", "text": "#1. \u663e\u793a\u6240\u6709\u5458\u5de5\u7684\u59d3\u540d, \u90e8\u95e8\u53f7\u548c\u90e8\u95e8\u540d\u79f0\nSELECT last_name, d.department_id, department_name\nFROM employees AS e, departments AS d\nWHERE e.department_id = d.department_id;\n\n#2. \u67e5\u8be290\u53f7\u90e8\u95e8\u5458\u5de5\u7684job_id\u548c90\u53f7\u90e8\u95e8\u7684location_id\nSELECT job_id, location_id, d.department_id\nFROM employees AS e, departments AS d\nWHERE e.department_id = d.department_id\nAND e.department_id = 90;\n\n#3. \u9009\u62e9\u6240\u6709\u6709\u5956\u91d1\u7684\u5458\u5de5\u7684last_name, department_name, location_id, city\nSELECT last_name, department_name, l.location_id, city\nFROM employees AS e, departments AS d, locations AS l\nWHERE e.department_id = d.department_id\nAND d.location_id = l.location_id\nAND e.commission_pct IS NOT NULL;\n\n#4. \u9009\u62e9city\u5728Toronto\u5de5\u4f5c\u7684\u5458\u5de5\u7684last_name, job_id, department_id, department_name\nSELECT last_name, job_id, d.department_id, department_name\nFROM employees AS e, departments AS d, locations AS l\nWHERE e.department_id = d.department_id\nAND d.location_id = l.location_id\nAND city = 'Toronto';\n\n#5. \u67e5\u8be2\u6bcf\u4e2a\u5de5\u79cd, \u6bcf\u4e2a\u90e8\u95e8\u7684\u90e8\u95e8\u540d, \u5de5\u79cd\u540d\u548c\u6700\u4f4e\u5de5\u8d44\nSELECT department_name, job_title, MIN(salary) AS min_sal\nFROM employees AS e, departments AS d, jobs AS j\nWHERE e.department_id = d.department_id\nAND e.job_id = j.job_id\nGROUP BY department_name, job_title;\n\n#6. \u67e5\u8be2\u6bcf\u4e2a\u56fd\u5bb6\u4e0b\u7684\u90e8\u95e8\u4e2a\u6570\u5927\u4e8e2\u7684\u56fd\u5bb6\u7f16\u53f7\nSELECT country_id, COUNT(*) AS depar_count\nFROM departments AS d, locations AS l\nWHERE d.location_id = l.location_id\nGROUP BY country_id\nHAVING depar_count > 2;\n\n#7. \u9009\u62e9\u6307\u5b9a\u5458\u5de5\u7684\u59d3\u540d, \u5458\u5de5\u53f7, \u4ee5\u53ca\u4ed6\u7684\u7ba1\u7406\u8005\u7684\u59d3\u540d\u548c\u5458\u5de5\u53f7, \u7ed3\u679c\u7c7b\u4f3c\u4e8e\u4e0b\u9762\u7684\u683c\u5f0f\nSELECT \n\te.last_name, \n    e.employee_id AS \"Emp#\", \n    m.last_name AS manager, \n    m.employee_id AS \"Mgr#\"\nFROM employees AS e, employees AS m\nWHERE e.manager_id = m.employee_id\nAND e.last_name = 'kochhar';\n"}
{"doc_id": "08fe5ce4f3823fe7333cbcad634822c2", "text": "drop table if exists resource_cache; \ndrop table if exists resource_language; \ndrop table if exists resource_origination_name;\ndrop sequence if exists \"resource_id_seq\";\ndrop sequence if exists \"resource_version_id_seq\";\n\nCREATE SEQUENCE \"resource_id_seq\";\nCREATE SEQUENCE \"resource_version_id_seq\";\n\n-- Resources are cached directly, but also versioned\ncreate table resource_cache (\n        id         int default nextval('resource_id_seq'), \n        version    int default nextval('resource_version_id_seq'),\n        is_deleted boolean default false,\n        href       text,\n        type       int,\n        entry_type int,\n        title      text,\n        abstract   text,\n        extent     text,\n        repo_ic_id int,\n        object_xml_wrap text,\n        primary key (id, version)\n        );\n\ncreate index resource_idx1 on resource_cache(href);\ncreate index resource_idx2 on resource_cache(id, version, is_deleted);\ncreate index resource_idx3 on resource_cache(repo_ic_id);\n\n-- Languages relating to resources are stored identically to but separately\n-- from languages for constellations.  They have their own versioning based on\n-- resource_version!\ncreate table resource_language (\n        id                int default nextval('resource_id_seq'),\n        version           int not null,\n        resource_id       int not null,\n        is_deleted        boolean default false,\n        language_id       int,  -- fk to vocabulary\n        script_id         int,  -- fk to vocabulary\n        vocabulary_source text,\n        note              text,\n        primary           key(id, version)\n        );\n\ncreate unique index resource_language_idx1 on resource_language(id,resource_id,version);\ncreate index resource_language_idx2 on resource_language(language_id, script_id);\n\n-- Origination names are now part of resources\ncreate table resource_origination_name (\n    id           int default nextval('resource_id_seq'),\n    is_deleted   boolean default false,\n    version      int not null,\n    resource_id  int not null,                          \n    name_ic_id   int,                            -- ic_id of this creator\n    name         text                            -- name of creator\n);\n\ncreate unique index resource_origination_name_idx1 on resource_origination_name(id,resource_id,version);\n\n-- Copy over the distinct resources\n-- insert into resource_cache (href, type, title, object_xml_wrap) (select distinct href, role, relation_entry, object_xml_wrap from related_resource where href != '');\n\n-- Daniel suggests making relationEntry the title on any that don't have an\n-- href or object_xml_wrap and including everything as a resource (deduped).\n-- In that case, we would want to use the following query to insert\ninsert into resource_cache (href, type, title, object_xml_wrap) (select distinct href, role, relation_entry, object_xml_wrap from related_resource);\n\n-- Then alter the related_resource table\nalter table related_resource add column resource_id integer;\nalter table related_resource add column resource_version integer;\ncreate index related_resource_idx3 on related_resource(resource_id, resource_version);\n\n-- Then connect the resource relations to the resources\nupdate related_resource set resource_id = r.id, resource_version = r.version from resource_cache r where coalesce(related_resource.href, 'null') = coalesce(r.href, 'null') and coalesce(related_resource.role, 0) = coalesce(r.type, 0) and coalesce(related_resource.relation_entry, 'null') = coalesce(r.title, 'null') and coalesce(related_resource.object_xml_wrap, 'null') = coalesce(r.object_xml_wrap, 'null');\n\n"}
{"doc_id": "091ed4b69b650ab1e5aed44b64cd9993", "text": "WITH\nvtypes (variant_type) AS\n(\n\tVALUES ('DEL'),('INS'),('SNP'),('DNP'),('TNP')\n),\npairs_squared AS -- all possible tumor/tumor + variant type combinations\n(\n\tSELECT *\n\tFROM analysis.scars_pairs sp\n\tCROSS JOIN vtypes\n), \npaired_geno AS\n(\n\tSELECT\n\t\ttumor_pair_barcode,\n\t\tpg.case_barcode,\n\t\tpg.tumor_barcode_a,\n\t\tpg.tumor_barcode_b,\n\t\tpg.variant_id,\n\t\tpg.variant_type,\n\t\trm.reptype,\n\t\tref_count_a,\n\t\talt_count_a,\n\t\taf_a,\n\t\tmutect2_call_a AS ssm2_pass_call_a,\n\t\tref_count_b,\n\t\talt_count_b,\n\t\taf_b,\n\t\tmutect2_call_b AS ssm2_pass_call_b, \n\t\tp1.pyclone_ccf AS ccf_a, \n\t\tp2.pyclone_ccf AS ccf_b, \n\t(CASE\n\t WHEN alt_count_a > 0 AND alt_count_b > 0 \t\t\tTHEN 'S'\n\t WHEN alt_count_a > 0 AND alt_count_b = 0 \t\t\tTHEN 'P'\n\t WHEN alt_count_a = 0 AND alt_count_b > 0 \t\t\tTHEN 'R'\n\t ELSE NULL END) AS fraction\n\tFROM variants.pgeno pg -- \n\tINNER JOIN analysis.scars_pairs sp ON sp.tumor_barcode_a = pg.tumor_barcode_a AND sp.tumor_barcode_b = pg.tumor_barcode_b\n\tLEFT JOIN variants.passanno pa ON pg.variant_id = pa.variant_id\n\tLEFT JOIN ref.repeatmasker rm ON pg.chrom = rm.chrom AND pg.pos && rm.pos\n\tLEFT JOIN variants.passgeno p1 ON p1.variant_id = pg.variant_id AND p1.aliquot_barcode = pg.tumor_barcode_a\n\tLEFT JOIN variants.passgeno p2 ON p2.variant_id = pg.variant_id AND p2.aliquot_barcode = pg.tumor_barcode_b\n\tWHERE\n\t\t(alt_count_a + ref_count_a >= 10) AND\n\t\t(alt_count_b + ref_count_b >= 10) AND -- coverage threshold because cannot call mutations on low coverage sites\n\t\t(af_a > 0.10 OR af_b > 0.10) -- filter variants to limit those where AF > 0.10 in at least one sample in tumor pair\n), \npaired_geno_ccf AS\n(\nSELECT *, \n(CASE\n\t WHEN fraction = 'S' THEN (ccf_a+ccf_b)/2\n\t WHEN fraction = 'P' THEN ccf_a\n\t WHEN fraction = 'R' THEN ccf_b\n\t ELSE NULL END) AS ccf\nFROM paired_geno \nWHERE reptype IS NULL and variant_type = 'DEL'\n)\nSELECT case_barcode, variant_type, fraction, ccf, ccf_a, ccf_b\nFROM paired_geno_ccf\nWHERE ccf IS NOT NULL"}
{"doc_id": "094b4d08094ee191c58a1606d6bb465a", "text": "-- query all qualifiers with concept code and concept name as ingredient or brand name\nWITH qua AS (\nSELECT DISTINCT q.concept_code, q.vocabulary_id FROM ohdsi.qualifier q \nWHERE q.predicate = False AND q.concept_code != '' \nAND q.qualifier_role_concept_code = '@roleconceptcode'),\ncpt AS (\nSELECT DISTINCT c.concept_code, c.concept_name, c.concept_class_id\nFROM public.concept c \nWHERE c.concept_class_id = 'Brand Name' or c.concept_class_id = 'Ingredient' OR c.concept_class_id = 'Domain'\n)\nSELECT cpt.concept_name, vocab.vocabulary_id, cpt.concept_code, cpt.concept_class_id\nFROM cpt JOIN qua ON qua.concept_code = cpt.concept_code\nJOIN public.vocabulary vocab ON qua.vocabulary_id = vocab.vocabulary_concept_id;\n"}
{"doc_id": "094cbc286cc421d0c0a2dcc6088206af", "text": "DROP DATABASE IF EXISTS employee_db;\nCREATE DATABASE employee_db;\n\nUSE employee_db;\n\nCREATE TABLE department(\n  id INT NOT NULL AUTO_INCREMENT,\n  name VARCHAR(100) NOT NULL,\n  PRIMARY KEY (id)\n);\n\nCREATE TABLE role(\n  id INT NOT NULL AUTO_INCREMENT,\n  title VARCHAR(100) NOT NULL,\n  salary DECIMAL NOT NULL,\n  department_id INT NOT NULL,\n  foreign key (department_id) references department(id),\n  PRIMARY KEY (id)\n);\nCREATE TABLE employee(\n  id INT NOT NULL AUTO_INCREMENT,\n  first_name VARCHAR(100) NOT NULL,\n  last_name VARCHAR(100) NOT NULL,\n  role_id INT NOT NULL,\n  foreign key (role_id) references role(id),\n  manager_id INT,\n  foreign key (manager_id) references employee(id),\n  PRIMARY KEY (id)\n);\n\nUSE employee_db;\nINSERT INTO department (name) VALUES (\"Sales\"), (\"Programming\");\nINSERT INTO role (title,salary, department_id) VALUES (\"Salesman\", 10000,1 ), (\"Programer\", 20000, 2);\nINSERT INTO employee(first_name,last_name, role_id, manager_id) VALUES (\"John\",\"Fred\",2,NULL ),(\"Junior\",\"Obed\", 1, 1)\n"}
{"doc_id": "09657d0d8fa92a6ca34e6b2720f97674", "text": "-- the title and release year of all films released in 1990 or 2000 that were longer than two hours.\nSELECT title, release_year\nFROM films\nWHERE release_year IN (1990, 2000)\nAND duration > 120;\n\n--total duration of all films.\nSELECT SUM(duration)\nFROM films;\n\n--average duration\nSELECT AVG(duration)\nfrom films;\n\n--duration of the shortest film\nSELECT MIN(duration)\nFROM films;\n\n--duration of the longest film\nSELECT MAX(duration)\nFROM films;\n\n/* title and duration in hours for all films. \n(duration is in minutes, so divide by 60.0 to get the duration in hours. */\nSELECT \n  title, \n  (duration/60.0) AS duration_hours\nFROM films;\n\n--average duration in hours for all films\nSELECT \n  AVG(duration)/60.0 AS avg_duration_hours\nFROM films;\n"}
{"doc_id": "096ca2a392b706cf4a5c8cfa84af563c", "text": "CREATE TABLE article (\nArticleID SERIAL PRIMARY KEY,\nDate timestamp,\nTitle varchar(100),\nAuthor varchar(30),\nText varchar(1000));\n\nCREATE TABLE comment (\nCommentID SERIAL PRIMARY KEY,\nNumLikes int, \nSourceID int,\nFOREIGN KEY (SourceID)\nREFERENCES article (ArticleID), \nText varchar(1000));\n\nCREATE TABLE permissions (\nPermissionID varchar(8) UNIQUE,\nCanComment boolean,\nCanEdit boolean, \nCanPostArticle boolean);\n\nCREATE TABLE users (\nUserID int PRIMARY KEY,\nUserName varchar(50) NOT NULL,\nUserPass varchar(30) NOT NULL,\nPermissionSet varchar(8),\nFOREIGN KEY (PermissionSet)\nREFERENCES permissions(PermissionID),\nName varchar(50) NOT NULL);\n\nCREATE TABLE tag (\nTagID SERIAL PRIMARY KEY,\nName varchar(20) NOT NULL,\nDescr varchar(100) NOT NULL,\nTotalViews int NOT NULL CHECK (TotalViews > -1));\n\nCREATE TABLE articletags (\nArticleID int NOT NULL, \nTagID int NOT NULL, \nFOREIGN KEY(ArticleID)\nREFERENCES article(ArticleID),\nFOREIGN KEY(TagID)\nREFERENCES TAG(TagID));\n\nCREATE TABLE usertags (\nUserID int NOT NULL,\nTagID int NOT NULL,\nFOREIGN KEY (UserID)\nREFERENCES users(UserID),\nFOREIGN KEY(TagID)\nREFERENCES tag(TagID));\n"}
{"doc_id": "09897a6f6f0645e0afd45229e715614d", "text": "-- db optimization\nPRAGMA temp_store_directory = '.';\npragma page_size=16384;\npragma default_cache_size=3000;\npragma journal_size_limit = 10000000;\npragma legacy_file_format = false;\npragma synchronous = 1 ;\npragma auto_vacuum=2; \n\n-- import and preparation\ncreate temp table datac\nas select * from (select id as dsetID, idForGivenType as doi, j2s(creatorNames) as creator, titles as title, publisher, publicationYear as year, resourceTypeValue as typegeneral from (setschema 'id, idForGivenType, creatorNames, titles, publisher, publicationYear, resourceTypeValue, referenceType' select jdictsplit(c1, 'id', 'idForGivenType', 'creatorNames', 'titles', 'publisher', 'publicationYear', 'resourceTypeValue', 'referenceType') from stdinput()) where referenceType = 'doi') where publisher != \"\" and publisher is not null and creator != \"\" and creator is not null;\n\n\n\ncreate temp table datacite \nas select dsetID, max(doi) as doi, creator, normalizetext(lower(title)) as title, publisher, year, typegeneral from datac where title like \"% % %\" group by title;\n\n\n-- single DOIs creation\ndrop table if exists dois;\ncreate table dois \nas select dsetID,doi,normalizetext(doi) as normaldoi,typegeneral from datac;\n\ncreate index dois_idx\non dois(normaldoi, dsetID);\n\n\n-- triple creation\ncreate temp table triples \nas select doi,middle as words, comprspaces(j2s(prev,middle,next)) as title from (setschema 'doi, prev, middle, next' select doi,textwindow2s(title,15,3,15) from datacite) group by doi, words, title;\n\n\n-- singularly distinguished titles\ncreate temp table uniquesplittitles \nas select words,titles,dois from (select words,jgroup(title) as titles, jgroup(normalizetext(doi)) as dois ,count(distinct(doi)) as num from triples group by words) where num = 1;\n\ncreate temp table uniquetitleswithtriples \nas select words,titles,dois from (select max(length(words)) as len,words,titles,dois from uniquesplittitles group by dois);\n\ncreate index uniquetitleswithtriples_index \non uniquetitleswithtriples(words,titles,dois);\n\ndelete from triples where normalizetext(doi) in (select dois as doi from uniquesplittitles group by doi);\n\n\n-- plurally distinguished titles\ncreate temp table splittitles \nas select words,titles,dois from (select words,jgroup(title) as titles, jgroup(normalizetext(doi)) as dois ,count(distinct(doi)) as num from triples group by words) \nwhere num <= (select * from (select jgroupuniquelimit(dois,n,(select count(distinct doi) from triples)/2) from (select jgroup(doi) as dois,count(doi) as n from triples group by words order by n asc)));\n\ndelete from triples where normalizetext(doi) in (select doi from (select jsplitv(dois) as doi from splittitles) group by doi);\n\ninsert into splittitles \nselect words,titles,dois from (select words,jgroup(title) as titles, jgroup(normalizetext(doi)) as dois ,count(distinct(doi)) as num from triples group by words) \nwhere num <= (select * from (select jgroupuniquelimit(dois,n,(select count(distinct doi) from triples)/2) from (select jgroup(doi) as dois,count(doi) as n from triples group by words order by n asc)));\n\ndelete from triples where normalizetext(doi) in (select doi from (select jsplitv(dois) as doi from splittitles) group by doi);\n\ninsert into splittitles\nselect words,titles,dois from (select words,jgroup(title) as titles, jgroup(normalizetext(doi)) as dois ,count(distinct(doi)) as num from triples group by words);\n\ncreate temp table titleswithtriplesmaxwords \nas select words,titles,dois from (select max(length(words)) as len,words,titles,dois from splittitles group by dois);\n\n\n-- DOI bag of words creation and normalization\ncreate temp table bagofwordsfordois \nas select dsetID,doi,normalizetext(doi) as doi1,title, lower(j2s(publisher,year,creator)) as bag,lower(publisher) as publisher,lower(creator) as creator,typegeneral as generaltype from datacite;\n\nupdate bagofwordsfordois \nset bag = comprspaces(filterstopwords(regexpr('\\b\\w{1,3}\\b',regexpr('\\W|_',bag,' '),''))), publisher = comprspaces(filterstopwords(regexpr('\\b\\w{1,3}\\b',regexpr('\\W|_',publisher,' '),''))), creator = comprspaces(filterstopwords(regexpr('\\b\\w{1,3}\\b',regexpr('\\W|_',creator,' '),'')));\n\nupdate bagofwordsfordois \nset bag = jmergeregexp(jset(s2j(bag))) , publisher = jmergeregexp(jset(s2j(publisher))), creator = jmergeregexp(jset(s2j(creator)));\n\ncreate index bagofwords_index on bagofwordsfordois(doi1,title,bag,publisher,creator,generaltype);\n\n\n-- Connect singularly distinguished titles with their bag of words\ncreate temp table uniquetitleswithtriples_bagofwords \nas select dsetID,dois,doi,titles,words , bag,publisher,creator,generaltype from uniquetitleswithtriples, bagofwordsfordois where dois = doi1;\n\ncreate index uniquetitleswithtriples_bagofwords_index \non uniquetitleswithtriples_bagofwords(words,titles,bag,publisher,creator,generaltype);\n\n\n-- Extract singularly distinguished titles from multiple distinguished titles, connect with bag of words and insert into unique titles\n\ninsert into uniquetitleswithtriples_bagofwords\nselect dsetID, dois, doi, titles, words , bag, publisher, creator, generaltype \nfrom (select * from titleswithtriplesmaxwords where jlen(titles)=1), bagofwordsfordois \nwhere dois = doi1 ;\n\ndelete from titleswithtriplesmaxwords where jlen(titles) = 1;\n\n\n-- Split vertically multiple distinguished titles\ncreate temp table titles \nas select words,titles from titleswithtriplesmaxwords;\n\ncreate temp table doiswords \nas select words,dois from titleswithtriplesmaxwords;\n\ncreate temp table jsplittitles\nas select words,jsplitv(titles) as titles from titles;\n\ncreate temp table jsplitdois \nas select words,jsplitv(dois) as dois from doiswords;\n\ncreate temp table jsplittitlesdois \nas select jsplitdois.words as words,jsplitdois.dois as dois,jsplittitles.titles from jsplitdois,jsplittitles where jsplittitles.rowid = jsplitdois.rowid;\n\ncreate temp table distincttitlesdoiswords \nas select words,titles,dois from (select max(length(words)),words,titles,dois from jsplittitlesdois group by titles);\n\ncreate temp table distincttitlesdoiswords_bag \nas select dsetID,distincttitlesdoiswords.dois,doi,titles,words,bag,publisher,creator,generaltype from distincttitlesdoiswords,bagofwordsfordois where distincttitlesdoiswords.dois = bagofwordsfordois.doi1;\n\ncreate index distincttitlesdoiswords_index \non distincttitlesdoiswords_bag(words,titles,bag,publisher,creator,generaltype);\n\n\n-- Merge everything into one table\ninsert into distincttitlesdoiswords_bag \nselect * from uniquetitleswithtriples_bagofwords;\n\ncreate temp table titlesandtriples1 \nas select dsetID,dois,doi,titles,words,bag,publisher,creator,generaltype from (select dsetID, max(length(words)),dois,doi,words,bag,publisher,creator,titles,generaltype from distincttitlesdoiswords_bag group by titles);\n\ndrop table if exists titlesandtriples;\ncreate table titlesandtriples \nas select dsetID,dois,doi, lower(titles) as titles, lower(words) as words,bag,publisher,creator,generaltype from (select dsetID, max(length(words)),dois,doi,words,bag,publisher,creator,titles,generaltype from titlesandtriples1  group by dois);\n\ncreate index titlesandtriples_index \non titlesandtriples(words,titles,bag,publisher,creator,generaltype);\n"}
{"doc_id": "098a8125f73be873ef4370fdcc912988", "text": "SELECT B.AUTHOR,COUNT(B.POST),COUNT(C.COMMENT)\nFROM friendbook_sizepost B,friendbook_comment C\nWHERE B.ID=C.POST\nGROUP BY B.AUTHOR\n/* to get all comments and all posts of all author*/\n/*\nSELECT A.NAME\nFROM friendbook_author A\nWHERE A.ID IN(  SELECT B.AUTHOR\n\t\t\t\tFROM friendbook_sizepost B\n\t\t\t\tGROUP BY B.AUTHOR\n\t\t\t\tORDER BY COUNT(B.POST))*/\n\n\nSELECT A.NAME\nFROM friendbook_sizepost B,friendbook_author A\nWHERE B.AUTHOR=A.ID\nGROUP BY B.AUTHOR,A.NAME\nORDER BY COUNT(B.AUTHOR) ASC"}
{"doc_id": "0996f409109c696b9969d629d046616f", "text": "CREATE TABLE classes(\n    class VARCHAR(64),\n    type VARCHAR(2),\n    country VARCHAR(64),\n    numguns INT,\n    bore INT,\n    displacement INT,\n    PRIMARY KEY (class)\n);\n\nCREATE TABLE ships(\n    name VARCHAR(64),\n    class VARCHAR(64),\n    launched INT(4),\n    PRIMARY KEY (name),\n    FOREIGN KEY (class) REFERENCES classes(class)\n);\n\nCREATE TABLE battles(\n    name VARCHAR(64),\n    date DATE,\n    PRIMARY KEY (name)\n);\n\nCREATE TABLE outcomes(\n    ship VARCHAR(64),\n    battle VARCHAR(64),\n    RESULT VARCHAR(32),\n    PRIMARY KEY (ship, battle),\n    FOREIGN KEY (ship) REFERENCES ships(name),\n    FOREIGN KEY (battle) REFERENCES battles(name)\n);\n\nINSERT INTO `classes`(`class`, `type`, `country`, `numguns`, `bore`, `displacement`) VALUES\n(\"CLASS 1\", \"bb\", \"England\", 1, 2, 3),\n(\"CLASS 2\", \"bc\", \"Germany\", 3, 4, 5),\n(\"CLASS 3\", \"bb\", \"Russia\", 4, 12, 13),\n(\"CLASS 4\", \"bc\", \"Italy\", 21, 3, 5),\n(\"CLASS 5\", \"bc\", \"America\", 21, 3, 5);\n\nINSERT INTO `ships`(`name`, `class`, `launched`) VALUES\n(\"SHIP 1\", \"CLASS 1\", 1914),\n(\"SHIP 2\", \"CLASS 1\", 1939),\n(\"SHIP 3\", \"CLASS 1\", 1939),\n(\"SHIP 4\", \"CLASS 1\", 1939),\n(\"SHIP 5\", \"CLASS 2\", 1945),\n(\"SHIP 6\", \"CLASS 2\", 1945),\n(\"SHIP 7\", \"CLASS 3\", 1945),\n(\"SHIP 8\", \"CLASS 3\", 1944),\n(\"SHIP 9\", \"CLASS 4\", 1944);\n\nINSERT INTO `battles`(`name`, `date`)\nVALUES (\"BATTLE 1\", \"1938-03-15 12:36:45\"),\n(\"BATTLE 2\", \"1939-02-05 15:42:65\"),\n(\"BATTLE 3\", \"1945-05-16 08:12:15\"),\n(\"BATTLE 4\", \"1945-05-16 08:12:15\"),\n(\"BATTLE 5\", \"1945-05-16 08:12:15\"),\n(\"BATTLE 6\", \"1945-05-16 08:12:15\"),\n(\"BATTLE 7\", \"1945-05-16 08:12:15\"),\n(\"BATTLE 8\", \"1945-05-16 08:12:15\"),\n(\"BATTLE 9\", \"1945-05-16 08:12:15\");\n\nINSERT INTO `outcomes`(`ship`, `battle`, `result`)\nVALUES (\"SHIP 1\", \"BATTLE 1\", \"ok\"),\n(\"SHIP 5\", \"BATTLE 2\", \"sunk\"),\n(\"SHIP 5\", \"BATTLE 3\", \"damaged\"),\n(\"SHIP 5\", \"BATTLE 4\", \"damaged\"),\n(\"SHIP 5\", \"BATTLE 5\", \"damaged\"),\n(\"SHIP 5\", \"BATTLE 6\", \"damaged\"),\n(\"SHIP 4\", \"BATTLE 7\", \"damaged\"),\n(\"SHIP 4\", \"BATTLE 8\", \"damaged\"),\n(\"SHIP 4\", \"BATTLE 9\", \"damaged\");\n\n/* Task 1 */\nselect distinct NAME\nfrom SHIPS\njoin BATTLES\non LAUNCHED = year(DATE);\n\nSELECT DISTINCT SHIPS.NAME\nFROM BATTLES, SHIPS\nWHERE LAUNCHED = YEAR(DATE)\n\nSELECT NAME\nFROM SHIPS\nWHERE LAUNCHED = any(\n    SELECT YEAR(DATE)\n    FROM BATTLES\n    WHERE COUNT(*) >= 1\n);\n\n/* Task 2 */\nselect distinct country,\n(select count(*)\nfrom classes c2 join ships s on c2.class = s.class\njoin outcomes o on s.name = o.ship\nwhere c2.country = c.country and result = 'sunk')\nfrom classes c\nwhere (select count(*)\n       from classes c2 join ships s  on c2.class = s.class\n       where c2.country = c.country) <= 3;"}
{"doc_id": "09991fa7b526c8851a88ac6510b34bb3", "text": "CREATE TABLE wiki_user (\r\n    id          serial PRIMARY KEY,\r\n    first_name  varchar(50) NOT NULL,\r\n    last_name   varchar(50) NOT NULL,\r\n    email       varchar(50) UNIQUE NOT NULL ,\r\n    phone       varchar(20) UNIQUE NOT NULL\r\n);\r\n\r\nCREATE TABLE poll (\r\n    id                     serial,\r\n    title                  varchar(200) NOT NULL,\r\n    details                varchar(1500),\r\n    creation_date          timestamp NOT NULL, \r\n    close_date             timestamp NOT NULL CHECK (close_date > creation_date),\r\n    acceptance_percentage  int NOT NULL CHECK (acceptance_percentage >= 0 AND acceptance_percentage <= 100),\r\n    anonymity              boolean,\r\n    PRIMARY KEY (id, anonymity)\r\n);\r\n\r\nCREATE TYPE participation_status AS ENUM ('not seen', 'seen', 'voted');\r\n\r\nCREATE TABLE participation (\r\n    wiki_user_id      int REFERENCES wiki_user (id),\r\n    poll_id           int,\r\n    poll_anonymity    boolean,\r\n    vote_status       participation_status NOT NULL,\r\n    PRIMARY KEY (wiki_user_id, poll_id, poll_anonymity),\r\n    FOREIGN KEY (poll_id, poll_anonymity) REFERENCES poll (id, anonymity)\r\n);\r\n\r\nCREATE TABLE open_question (\r\n    poll_id              int,\r\n    poll_anonymity       boolean,\r\n    order_priority       int CHECK (order_priority > 0),\r\n    question             varchar(300) NOT NULL,\r\n    PRIMARY KEY (poll_id, poll_anonymity, order_priority),\r\n    FOREIGN KEY (poll_id, poll_anonymity) REFERENCES poll (id, anonymity)\r\n);\r\n\r\nCREATE TABLE closed_question\r\n(\r\n    poll_id             int,\r\n    poll_anonymity      boolean,\r\n    order_priority      int CHECK (order_priority > 0),\r\n    question            varchar(300) NOT NULL,\r\n    PRIMARY KEY (poll_id, poll_anonymity, order_priority),\r\n    FOREIGN KEY (poll_id, poll_anonymity) REFERENCES poll (id, anonymity)\r\n);\r\n\r\nCREATE TABLE closed_option\r\n(\r\n    poll_id                   int,\r\n    poll_anonymity            boolean,\r\n    question_order_priority   int,\r\n    order_priority            int CHECK (order_priority > 0),\r\n    option_text               varchar(300) NOT NULL,\r\n    PRIMARY KEY (poll_id, poll_anonymity, question_order_priority, order_priority),\r\n    FOREIGN KEY (poll_id, poll_anonymity) REFERENCES poll (id, anonymity),\r\n    FOREIGN KEY (poll_id, poll_anonymity, question_order_priority) REFERENCES closed_question (poll_id, poll_anonymity, order_priority)\r\n);\r\n\r\nCREATE TABLE anonymous_ballot\r\n(\r\n    id                 serial PRIMARY KEY,\r\n    poll_id            int,\r\n    poll_anonymity     boolean,\r\n    unique_code        varchar(8) UNIQUE NOT NULL,\r\n    FOREIGN KEY (poll_id, poll_anonymity) REFERENCES poll (id, anonymity)\r\n);\r\n\r\n-- Should unique codes be unique or unique for each question?\r\n\r\nCREATE TABLE ballot\r\n(\r\n    id                   serial PRIMARY KEY,\r\n    wiki_user_id         int REFERENCES wiki_user (id),\r\n    poll_id              int,\r\n    poll_anonymity       boolean,\r\n    unique_code          varchar(8) UNIQUE NOT NULL,\r\n    FOREIGN KEY (poll_id, poll_anonymity) REFERENCES poll (id, anonymity),\r\n    FOREIGN KEY (wiki_user_id, poll_id, poll_anonymity) REFERENCES participation (wiki_user_id, poll_id, poll_anonymity)\r\n);\r\n\r\n\r\nCREATE TABLE open_response (\r\n    ballot_id            int REFERENCES ballot (id),\r\n    poll_id              int,\r\n    poll_anonymity       boolean,\r\n    poll_priority        int,\r\n    answer               varchar(1000),\r\n    PRIMARY KEY (ballot_id, poll_id, poll_anonymity, poll_priority),\r\n    FOREIGN KEY (poll_id, poll_anonymity, poll_priority) REFERENCES open_question (poll_id, poll_anonymity, order_priority)\r\n);\r\n\r\nCREATE TABLE closed_response (\r\n    ballot_id            int REFERENCES ballot (id),\r\n    poll_id              int,\r\n    poll_anonymity       boolean,\r\n    poll_priority        int,\r\n    option_priority      int,\r\n    PRIMARY KEY (ballot_id, poll_id, poll_anonymity, poll_priority),\r\n    FOREIGN KEY (poll_id, poll_anonymity, poll_priority) REFERENCES closed_question (poll_id, poll_anonymity, order_priority),\r\n    FOREIGN KEY (poll_id, poll_anonymity, poll_priority, option_priority) REFERENCES closed_option (poll_id, poll_anonymity, question_order_priority, order_priority)\r\n);\r\n\r\nCREATE TABLE anonymous_open_response (\r\n    ballot_id            int REFERENCES anonymous_ballot (id),\r\n    poll_id              int,\r\n    poll_anonymity       boolean,\r\n    poll_priority        int,\r\n    answer               varchar(1000),\r\n    PRIMARY KEY (ballot_id, poll_id, poll_anonymity, poll_priority),\r\n    FOREIGN KEY (poll_id, poll_anonymity, poll_priority) REFERENCES open_question (poll_id, poll_anonymity, order_priority)\r\n);\r\n\r\nCREATE TABLE anonymous_closed_response (\r\n    ballot_id            int REFERENCES anonymous_ballot (id),\r\n    poll_id              int,\r\n    poll_anonymity       boolean,\r\n    poll_priority        int,\r\n    option_priority      int,\r\n    PRIMARY KEY (ballot_id, poll_id, poll_anonymity, poll_priority),\r\n    FOREIGN KEY (poll_id, poll_anonymity, poll_priority) REFERENCES closed_question (poll_id, poll_anonymity, order_priority),\r\n    FOREIGN KEY (poll_id, poll_anonymity, poll_priority, option_priority) REFERENCES closed_option (poll_id, poll_anonymity, question_order_priority, order_priority)\r\n);\r\n"}
{"doc_id": "09bc41a3f71d26d4e5d50eaecc801110", "text": "-- o WHERE especifica o SELECT e o HAVING especifica o WHERE (*)\n\n-- Group by/Having\n-- Quero listar o valor total das compras que custam mais de 120 do usuario X somente se o valor total passar de 500\nSELECT SUM(PRECO), CPF_COMPRADOR FROM COMPRAS c\nWHERE c.PRECO > 120.0\nGROUP BY c.CPF_COMPRADOR\nHAVING SUM(PRECO) > 500\nORDER BY SUM(PRECO);\n\n\n-- -Jun\u00e7\u00e3o interna\n\n-- Seleciona o nome do Usu\u00e1rio e dos produtos que o usuario comprou\nSELECT u.NOME AS USUARIO, p.NOME AS PRODUTO FROM COMPRAS c\nINNER JOIN USUARIOS u ON c.CPF_COMPRADOR = u.CPF\nINNER JOIN PRODUTO p ON c.ID_PRODUTO = p.ID\nORDER BY u.NOME;\n\n-- Inner Join\n-- Selecionar os vendedores q tem mais de 3 produto\nSELECT u.NOME , COUNT(p.ID)\nFROM (\n\tVENDEDOR v\n\tINNER JOIN LOJA l ON l.CPF_VENDEDOR = v.CPF_USUARIO\n\tINNER JOIN PRODUTO p ON p.ID_LOJA = l.ID \n\tINNER JOIN USUARIOS u ON u.CPF = v.CPF_USUARIO \n)\nGROUP BY u.NOME \nHAVING COUNT(p.ID) > 3;\n\n\n-- Retorna as compras do produto que \u00e9 mais caro\n-- Subconsulta escalar\nSELECT * \n\tFROM CIN.COMPRAS c \n\tWHERE (c.PRECO/c.QTD_PRODUTOS) = (\n\t\tSELECT max(c.PRECO/c.QTD_PRODUTOS)\n\t\t\tFROM CIN.COMPRAS c\n\t)\n\n-- Retorna os produtos que valem mais de 100 e a m\u00e9dia entre eles;\n-- Subconsulta do tipo escalar\nSELECT ID , NOME, PRECO, (\n\tSELECT AVG(PRECO) \n\t\tFROM CIN.PRODUTO prod \n\t\tWHERE PRECO > 100\n\t) AS avg100up \n\tFROM CIN.PRODUTO prod \n\tWHERE PRECO > 100 \n\tGROUP BY ID, NOME, PRECO;\n\n-- Subconsulta do tipo tabela\n-- Retorna Tabela com CPF, nome do produto, quantidade comprada e pre\u00e7o somado na compra\nSELECT c.CPF_COMPRADOR, (\n\tSELECT nome \n\t\tFROM CIN.PRODUTO p \n\t\tWHERE c.ID_PRODUTO = p.ID\n\t) AS nome, c.QTD_PRODUTOS, c.PRECO \n\tFROM CIN.COMPRAS c;\n\n-- pessoas que tiveram compras avaliadas pelo mesmo tecnico da compra X\n-- Subconsulta do tipo linha\nSELECT * FROM COMPRAS c \nWHERE c.ID_TECNICO =\n(\n\tSELECT c2.ID_TECNICO FROM COMPRAS c2\n\tWHERE c2.CPF_COMPRADOR = 32374108376 AND c2.ID_PRODUTO =5\n\tAND c2.HORARIO = TO_TIMESTAMP('1983-06-12 18:13:12', 'yyyy-mm-dd HH24:MI:SS')\n);\n\n-- Retorna usu\u00e1rio que s\u00e3o s\u00f3 compradores ou s\u00f3 vendedores\n-- Outer join\nSELECT *\n\tFROM\n\t\t(SELECT c.CPF_USUARIO AS comprador, v.CPF_USUARIO AS vendedor  FROM (COMPRADOR c \n\t\tFULL JOIN VENDEDOR v ON v.CPF_USUARIO = c.CPF_USUARIO)) d\n\t\tWHERE d.COMPRADOR IS NULL or d.vendedor IS NULL;\n\n-- Retorna produtos que n\u00e3o foram comprados\n-- Left join\nSELECT p.NOME \n\tFROM PRODUTO p\n\t\tLEFT JOIN COMPRAS c ON c.ID_PRODUTO = p.ID \n\tWHERE c.ID_PRODUTO IS NULL\n\t\n-- Retorna todos os produtos desejados \n-- Semi jun\u00e7\u00e3o\nSELECT *\n\tFROM PRODUTO p\n\tWHERE EXISTS (\n\t\tSELECT 1\n\t\t\tFROM LISTA_CONTEM_PRODUTOS lcp \n\t\t\tWHERE p.ID = lcp.ID_PRODUTO\n\t\t)\n\n\n\t\t\n-- consulta que retira todos os dados sensiveis do usuario\n\n-- consulta que retorna todas as compras do usuario\n\n-- TODO:\n\n-- Retorna os ids dos produtos que foram vendidos ou estao na LISTA_DE_DESESJOS\n-- UNION\nSELECT c.ID_PRODUTO \n\tFROM COMPRAS c \nUNION\nSELECT lcp.ID_PRODUTO\n\tFROM LISTA_CONTEM_PRODUTOS lcp\n\n-- Popularidade do produto (compras ou lista de desejos)\n-- UNION ALL\nSELECT  COUNT(ID_PRODUTO) Ocorr\u00eancia, ID_PRODUTO Produto FROM (\n\tSELECT c.ID_PRODUTO \n\t\tFROM COMPRAS c \n\tUNION ALL \n\tSELECT lcp.ID_PRODUTO \n\t\tFROM LISTA_CONTEM_PRODUTOS lcp\t\n) \nGROUP BY ID_PRODUTO\nORDER BY COUNT(ID_PRODUTO) DESC;\n\n-- contar quantas vezes o produto foi comprado e desejado\n\n-- INTERSECT\n-- Retorna os compradores que possuem lista de desejos\nSELECT u.NOME FROM (\n\tSELECT CPF_COMPRADOR FROM COMPRAS c \n\tINTERSECT SELECT ldd.CPF_COMPRADOR FROM LISTA_DE_DESEJOS ldd\n)\nJOIN USUARIOS u ON u.CPF = CPF_COMPRADOR;\n\n-- MINUS\n-- Nos d\u00e1 os t\u00e9cnicos que n\u00e3o participaram de nenhuma compra (t\u00e3o com pregui\u00e7a)\nSELECT t.ID FROM TECNICO t  \nMINUS\nSELECT c.ID_TECNICO FROM COMPRAS;\n"}
{"doc_id": "09e8925e8599c69320d85c39bfaf6a99", "text": "-- MIT License\n-- Copyright (c) 2018 Evgeny Medvedev, evge.medvedev@gmail.com (https://medium.com/google-cloud/plotting-ethereum-address-growth-chart-55cc0e7207b2)\n-- Copyright (c) 2020 Balancer Labs, markus@balancer.finance\n\n-- Block by block balance of ERC20 tokens per token holder (based on transfers occurring after 2020-March-01)\n-- This view supports querying BPT token holders (\"shareholders\" of pools) and the balance of tokens in pools\n\n-- Limitation: tokens must emit Transfer event every time the balance of the token holder is updated\n-- eg: Balancer Pool Tokens emit the Transfer event when minted\n-- eg: WETH does not emit the Transfer event when minted, but the \n-- scope of this view is *pools' balances* of WETH, and pools don't mint WETH\n\nwith double_entry_book as (\n    -- debits\n    select token_address, to_address as address, cast(value as FLOAT64) as value, block_number\n    from `bigquery-public-data.crypto_ethereum.token_transfers`\n    where to_address <> '0x0000000000000000000000000000000000000000' \n    and date(block_timestamp) > \"2020-03-01\" \n    union all\n    -- credits\n    select token_address, from_address as address, -cast(value as FLOAT64) as value, block_number\n    from `bigquery-public-data.crypto_ethereum.token_transfers`\n    where from_address <> '0x0000000000000000000000000000000000000000' \n    and date(block_timestamp) > \"2020-03-01\" \n),\ndouble_entry_book_grouped_by_block as (\n    select token_address, address, sum(value) as balance_increment, block_number\n    from double_entry_book\n    group by token_address, address, block_number\n),\nblockly_balances_with_gaps as (\n    select token_address, address, block_number, sum(balance_increment) over (partition by token_address, address order by block_number) as balance,\n    lead(block_number, 1, 99999999) over (partition by token_address, address order by block_number) as next_block_number\n    from double_entry_book_grouped_by_block\n),\ncalendar AS (\n    select number as block_number from `bigquery-public-data.crypto_ethereum.blocks`\n),\nrunning_balances as (\n    select token_address, address, calendar.block_number, balance\n    from blockly_balances_with_gaps\n    join calendar on blockly_balances_with_gaps.block_number <= calendar.block_number and calendar.block_number < blockly_balances_with_gaps.next_block_number\n)\nselect token_address, address, block_number, balance\nfrom running_balances\n-- remove AMPL because of rebasing. use view_token_balances_subset_AMPL\nwhere token_address not in ('0xd46ba6d942050d489dbd938a2c909a5d5039a161')"}
{"doc_id": "09ebe241e04c21ed6932484d6ef26f4f", "text": "--1. Get all customers and their addresses.\nSELECT * FROM \"customers\"\nJOIN \"addresses\" ON \"customers\".\"id\" = \"addresses\".\"customer_id\";\n\n--2. Get all orders and their line items.\nSELECT * FROM \"orders\"\nJOIN \"line_items\" ON \"orders\".\"id\" = \"line_items\".\"order_id\";\n\n--3. Which warehouses have cheetos?\nSELECT \"warehouse\".\"warehouse\" FROM \"warehouse\"\nJOIN \"warehouse_product\" ON \"warehouse\".\"id\" = \"warehouse_product\".\"warehouse_id\"\nJOIN \"products\" ON \"products\".\"id\" = \"warehouse_product\".\"product_id\" \nWHERE \"products\".\"description\" ILIKE 'cheetos'; \n\n--4. Which warehouses have diet pepsi?\nSELECT \"warehouse\".\"warehouse\" FROM \"warehouse\"\nJOIN \"warehouse_product\" ON \"warehouse\".\"id\" = \"warehouse_product\".\"warehouse_id\"\nJOIN \"products\" ON \"products\".\"id\" = \"warehouse_product\".\"product_id\" \nWHERE \"products\".\"description\" ILIKE 'diet pepsi'; \n\n--5. Get the number of orders for each customer. NOTE: It is OK if those without orders are not included in results.\nSELECT \"customers\".\"first_name\", \"customers\".\"last_name\", count(\"orders\".\"id\") \nFROM \"orders\" JOIN \"addresses\"\nON \"orders\".\"address_id\" = \"addresses\".\"id\"\nJOIN \"customers\" ON \"customers\".\"id\" = \"addresses\".\"customer_id\"\nGROUP BY \"customers\".\"id\";\n\n--6. How many customers do we have?\nSELECT \tcount(*) FROM \"customers\";\n\n--7. How many products do we carry?\n\nSELECT \tcount(*) FROM \"products\";\n\n--8. What is the total available on-hand quantity of diet pepsi?\nSELECT SUM(warehouse_product.on_hand) \nFROM \"products\"\nJOIN \"warehouse_product\" ON \"products\".\"id\" = \"warehouse_product\".\"product_id\"\n--JOIN \"products\" ON \"products\".\"id\" = \"warehouse_product\".\"product_id\" \nWHERE \"products\".\"description\" ILIKE 'diet pepsi'\nGROUP BY products.id;\n"}
{"doc_id": "09f04ae3ede70f674e5ba66797e4e2aa", "text": "CREATE TABLE station_to_station_counts AS\nSELECT start_station_id, end_station_id, COUNT(*) AS count\nFROM trips\nWHERE date(start_time) >= '2015-09-01'\nGROUP BY start_station_id, end_station_id;\nCREATE INDEX idx_station_to_station ON station_to_station_counts (start_station_id, end_station_id);\n\nCREATE TABLE directions_legs (\n  id integer primary key,\n  station_direction_id integer,\n  start_station_id integer,\n  end_station_id integer,\n  number integer,\n  start_latitude numeric(9, 6),\n  start_longitude numeric(9, 6),\n  end_latitude numeric(9, 6),\n  end_longitude numeric(9, 6),\n  duration numeric(9, 6)\n);\n\n-- see google_maps_cycling_directions_sketch.rb for a sketch of how to get directions via the Google Maps API\nCOPY directions_legs FROM 'data/individual_legs.csv' CSV HEADER;\nCREATE UNIQUE INDEX idx_directions_legs ON directions_legs (start_station_id, end_station_id, number);\n\n-- data for static heatmap\nCREATE TABLE leg_counts AS\nSELECT\n  d.start_latitude,\n  d.start_longitude,\n  d.end_latitude,\n  d.end_longitude,\n  SUM(s.count) AS total\nFROM station_to_station_counts s\n  INNER JOIN directions_legs d\n  ON s.start_station_id = d.start_station_id\n  AND s.end_station_id = d.end_station_id\nWHERE s.start_station_id != s.end_station_id\nGROUP BY start_latitude, start_longitude, end_latitude, end_longitude;\n\nCREATE TABLE expected_durations AS\nSELECT\n  start_station_id,\n  end_station_id,\n  SUM(duration) AS duration_in_seconds,\n  SUM(ST_Distance_Sphere(\n    ST_MakePoint(start_longitude, start_latitude),\n    ST_MakePoint(end_longitude, end_latitude)\n  )) AS distance_in_meters\nFROM directions_legs\nGROUP BY start_station_id, end_station_id;\nCREATE INDEX idx_expected_durations ON expected_durations (start_station_id, end_station_id);\n\n/*\nweekday holidays:\n('2013-07-04', '2013-09-02', '2013-11-28', '2013-11-29', '2013-12-24', '2013-12-25',\n'2014-01-01', '2014-01-20', '2014-02-17', '2014-05-26', '2014-07-04', '2014-09-01', '2014-11-27', '2014-11-28', '2014-12-24', '2014-12-25',\n'2015-01-01', '2015-01-19', '2015-02-16', '2015-05-25', '2015-07-03', '2015-09-07', '2015-11-26', '2015-11-27', '2015-12-24', '2015-12-25')\n*/\n\n-- setup for analysis of actual times vs. Google Maps cycling directions estimates\nCREATE TABLE weekday_rush_hour_data AS\nSELECT\n  t.id AS trip_id,\n  CASE t.gender\n    WHEN 1 THEN 'male'\n    WHEN 2 THEN 'female'\n    ELSE 'unknown'\n  END AS gender,\n  EXTRACT(YEAR FROM t.start_time) - t.birth_year AS age,\n  t.user_type,\n  t.trip_duration,\n  e.duration_in_seconds AS expected_duration,\n  e.distance_in_meters\nFROM trips t\n  INNER JOIN expected_durations e\n  ON t.start_station_id = e.start_station_id\n  AND t.end_station_id = e.end_station_id\nWHERE t.trip_duration < 60 * 60 * 1.5\n  AND e.duration_in_seconds > 120\n  AND EXTRACT(DOW FROM t.start_time) IN (1, 2, 3, 4, 5)\n  AND EXTRACT(HOUR FROM t.start_time) IN (7, 8, 9, 17, 18, 19)\n  AND date(t.start_time) NOT IN ('2013-07-04', '2013-09-02', '2013-11-28', '2013-11-29', '2013-12-24', '2013-12-25', '2014-01-01', '2014-01-20', '2014-02-17', '2014-05-26', '2014-07-04', '2014-09-01', '2014-11-27', '2014-11-28', '2014-12-24', '2014-12-25', '2015-01-01', '2015-01-19', '2015-02-16', '2015-05-25', '2015-07-03', '2015-09-07', '2015-11-26', '2015-11-27', '2015-12-24', '2015-12-25');\n\n-- number of stations in service\nCREATE TABLE daily_unique_station_ids AS\nSELECT DISTINCT date(start_time) AS date, start_station_id AS station_id FROM trips\nUNION\nSELECT DISTINCT date(start_time) AS date, end_station_id AS station_id FROM trips;\nCREATE UNIQUE INDEX idx_daily_unique_stations ON daily_unique_station_ids (date, station_id);\n\nCREATE TABLE monthly_active_stations AS\nSELECT\n  date(d) AS date,\n  COUNT(DISTINCT s.station_id) AS stations\nFROM generate_series('2013-08-01'::date, '2015-12-31'::date, '1 day'::interval) d,\n     daily_unique_station_ids s\nWHERE s.date <= date(d)\n  AND s.date >= date(d) - '27 days'::interval\nGROUP BY date(d)\nORDER BY date(d);\n\n-- daily stats plus weather data\nCREATE TABLE aggregate_data_with_weather AS\nWITH aggregate_data AS (\n  SELECT\n    date(start_time) AS date,\n    COUNT(*) AS trips\n  FROM trips\n  GROUP BY date(start_time)\n)\nSELECT\n  a.*,\n  w.precipitation,\n  w.snow_depth,\n  w.snowfall,\n  w.max_temperature,\n  w.min_temperature,\n  w.average_wind_speed,\n  EXTRACT(DOW FROM a.date) AS dow,\n  EXTRACT(YEAR FROM a.date) AS year,\n  EXTRACT(MONTH FROM a.date) AS month,\n  a.date IN ('2013-07-04', '2013-09-02', '2013-11-28', '2013-11-29', '2013-12-24', '2013-12-25', '2014-01-01', '2014-01-20', '2014-02-17', '2014-05-26', '2014-07-04', '2014-09-01', '2014-11-27', '2014-11-28', '2014-12-24', '2014-12-25', '2015-01-01', '2015-01-19', '2015-02-16', '2015-05-25', '2015-07-03', '2015-09-07', '2015-11-26', '2015-11-27', '2015-12-24', '2015-12-25') AS holiday,\n  s.stations AS stations_in_service\nFROM aggregate_data a\n  INNER JOIN central_park_weather_observations w\n    ON a.date = w.date\n  LEFT JOIN monthly_active_stations s\n    ON a.date = s.date\nORDER BY a.date;\n\nCREATE TABLE station_aggregates_with_weather AS\nWITH aggregate_data AS (\n  SELECT\n    date(start_time) AS date,\n    start_station_id AS station_id,\n    COUNT(*) AS trips\n  FROM trips\n  GROUP BY date, start_station_id\n)\nSELECT\n  a.*,\n  w.precipitation,\n  w.snow_depth,\n  w.snowfall,\n  w.max_temperature,\n  w.min_temperature,\n  w.average_wind_speed,\n  EXTRACT(DOW FROM a.date) AS dow,\n  EXTRACT(YEAR FROM a.date) AS year,\n  EXTRACT(MONTH FROM a.date) AS month,\n  a.date IN ('2013-07-04', '2013-09-02', '2013-11-28', '2013-11-29', '2013-12-24', '2013-12-25', '2014-01-01', '2014-01-20', '2014-02-17', '2014-05-26', '2014-07-04', '2014-09-01', '2014-11-27', '2014-11-28', '2014-12-24', '2014-12-25', '2015-01-01', '2015-01-19', '2015-02-16', '2015-05-25', '2015-07-03', '2015-09-07', '2015-11-26', '2015-11-27', '2015-12-24', '2015-12-25') AS holiday,\n  s.name,\n  s.ntaname,\n  s.boroname,\n  s.nyct2010_gid\nFROM aggregate_data a\n  INNER JOIN central_park_weather_observations w\n    ON a.date = w.date\n  INNER JOIN stations s\n    ON a.station_id = s.id\nORDER BY a.station_id, a.date;\n\nCREATE TABLE aggregate_data_hourly AS\nSELECT\n  EXTRACT(HOUR FROM start_time) AS hour,\n  EXTRACT(DOW FROM start_time) BETWEEN 1 AND 5 AS weekday,\n  COUNT(*) AS trips,\n  COUNT(DISTINCT date(start_time)) AS number_of_days\nFROM trips\nWHERE date(start_time) >= '2015-09-01'\nGROUP BY hour, weekday;\n\nCREATE TABLE rush_hour_station_to_station_counts AS\nSELECT start_station_id, end_station_id, COUNT(*) AS count\nFROM trips\nWHERE date(start_time) >= '2015-09-01'\n  AND EXTRACT(DOW FROM start_time) IN (1, 2, 3, 4, 5)\n  AND EXTRACT(HOUR FROM start_time) IN (7, 8, 9, 17, 18, 19)\nGROUP BY start_station_id, end_station_id;\nCREATE INDEX idx_station_to_station ON rush_hour_station_to_station_counts (start_station_id, end_station_id);\n\n-- can use rush_hour_station_counts in these queries to get rush hour only\nSELECT\n  c.*, ss.name, es.name, ss.ntaname, es.ntaname\nFROM station_to_station_counts c,\n     stations ss,\n     stations es\nWHERE c.start_station_id = ss.id\n  AND c.end_station_id = es.id\nORDER BY c.count DESC;\n\nSELECT\n  ss.ntaname, es.ntaname, SUM(COUNT) AS total\nFROM station_to_station_counts c,\n     stations ss,\n     stations es\nWHERE c.start_station_id = ss.id\n  AND c.end_station_id = es.id\nGROUP BY ss.ntaname, es.ntaname\nORDER BY total DESC;\n\nCREATE TABLE weekday_station_to_station_hourly AS\nSELECT\n  date(start_time) AS date,\n  EXTRACT(HOUR FROM start_time) AS hour,\n  start_station_id,\n  end_station_id,\n  COUNT(*) AS trips\nFROM trips\nWHERE date(start_time) >= '2015-09-01'\n  AND EXTRACT(DOW FROM start_time) BETWEEN 1 AND 5\nGROUP BY date, hour, start_station_id, end_station_id;\n\nCREATE TABLE boros_hourly AS\nSELECT\n  h.hour,\n  CASE WHEN ss.boroname = 'Manhattan' THEN 'Manhattan' ELSE 'Outer Boroughs' END AS start_boro,\n  CASE WHEN es.boroname = 'Manhattan' THEN 'Manhattan' ELSE 'Outer Boroughs' END AS end_boro,\n  SUM(trips) AS total,\n  COUNT(DISTINCT date) AS number_of_days\nFROM weekday_station_to_station_hourly h,\n     stations ss,\n     stations es\nWHERE h.start_station_id = ss.id\n  AND h.end_station_id = es.id\nGROUP BY hour, start_boro, end_boro\nORDER BY hour, start_boro, end_boro;\n\n-- see how often bikes \"magically\" transport from one station to another\nCREATE TABLE daily_unique_bike_ids AS\nSELECT DISTINCT date(start_time) AS date, bike_id\nFROM trips\nORDER BY date;\nCREATE INDEX idx_daily_unique_bikes ON daily_unique_bike_ids (date);\n\nCREATE TABLE monthly_active_bikes AS\nSELECT\n  date(d) AS date,\n  COUNT(DISTINCT b.bike_id) AS bikes\nFROM generate_series('2013-08-01'::date, '2015-12-31'::date, '1 day'::interval) d,\n     daily_unique_bike_ids b\nWHERE b.date <= date(d)\n  AND b.date >= date(d) - '27 days'::interval\nGROUP BY date(d)\nORDER BY date(d);\n\nCREATE TABLE bike_station_ids AS\nSELECT\n  id,\n  bike_id,\n  start_time,\n  stop_time,\n  end_station_id,\n  lead(start_station_id, 1) OVER w AS next_start_station_id,\n  lead(start_time, 1) OVER w AS next_start_time\nFROM trips\nWINDOW w AS (PARTITION BY bike_id ORDER BY start_time)\nORDER BY bike_id, start_time;\nDELETE FROM bike_station_ids WHERE next_start_station_id IS NULL;\n\nCREATE TABLE station_aggregates AS\nSELECT\n  end_station_id,\n  COUNT(*)::numeric AS total_drop_offs,\n  SUM((end_station_id != next_start_station_id)::int) AS transported_to_other_station\nFROM bike_station_ids\nGROUP BY end_station_id;\n\nCREATE TABLE monthly_station_aggregates AS\nSELECT\n  date(date_trunc('month', stop_time)) AS month,\n  end_station_id,\n  COUNT(*)::numeric AS total_drop_offs,\n  SUM((end_station_id != next_start_station_id)::int) AS transported_to_other_station\nFROM bike_station_ids\nGROUP BY end_station_id, month;\n\nCREATE TABLE hourly_station_aggregates AS\nSELECT\n  EXTRACT(HOUR FROM stop_time) AS hour,\n  end_station_id,\n  COUNT(*)::numeric AS total_drop_offs,\n  SUM((end_station_id != next_start_station_id)::int) AS transported_to_other_station\nFROM bike_station_ids\nGROUP BY end_station_id, hour;\n\nSELECT SUM(transported_to_other_station) / SUM(total_drop_offs)\nFROM station_aggregates;\n\nSELECT\n  ntaname,\n  SUM(transported_to_other_station) / SUM(total_drop_offs) frac,\n  SUM(total_drop_offs) total\nFROM station_aggregates a\n  INNER JOIN stations s\n  ON a.end_station_id = s.id\nGROUP BY ntaname\nORDER BY frac DESC;\n\nSELECT\n  ntaname,\n  hour,\n  SUM(transported_to_other_station) / SUM(total_drop_offs) frac,\n  SUM(total_drop_offs) total\nFROM hourly_station_aggregates a\n  INNER JOIN stations s\n  ON a.end_station_id = s.id\nGROUP BY ntaname, hour\nHAVING SUM(total_drop_offs) > 1000\nORDER BY ntaname, hour;\n\n-- anonymous trips\nCREATE TABLE anonymous_analysis_hourly AS\nSELECT\n  date_trunc('hour', start_time) truncated_to_hour,\n  start_station_id,\n  gender,\n  EXTRACT(YEAR FROM start_time) - birth_year AS age,\n  COUNT(*) count\nFROM trips\nWHERE\n  user_type = 'Subscriber'\n  AND gender IN (1, 2)\n  AND birth_year IS NOT NULL\n  AND birth_year >= 1920\nGROUP BY truncated_to_hour, start_station_id, gender, age;\n\nCREATE TABLE anonymous_analysis_daily AS\nSELECT\n  date(start_time) truncated_to_day,\n  start_station_id,\n  gender,\n  EXTRACT(YEAR FROM start_time) - birth_year AS age,\n  COUNT(*) count\nFROM trips\nWHERE\n  user_type = 'Subscriber'\n  AND gender IN (1, 2)\n  AND birth_year IS NOT NULL\n  AND birth_year >= 1920\nGROUP BY truncated_to_day, start_station_id, gender, age;\n\nSELECT SUM(CASE WHEN count = 1 THEN 1.0 ELSE 0 END) / SUM(count) AS uniq_frac\nFROM anonymous_analysis_hourly;\n\nSELECT SUM(CASE WHEN count = 1 THEN 1.0 ELSE 0 END) / SUM(count) AS uniq_frac\nFROM anonymous_analysis_daily;\n"}
{"doc_id": "09fcd69d4e46e257563ec436ee0297bc", "text": "DROP VIEW IF EXISTS deployments_daily CASCADE;\n\nCREATE VIEW deployments_daily AS\n\nSELECT\n    provider_name,\n    vehicle_type,\n    date_trunc('day', event_time_local) AS event_day,\n    count(distinct device_id) AS distinct_devices,\n    count(*) AS deployments,\n    round(count(*) / count(distinct device_id)::numeric, 2) AS deploys_per_device,\n    count(distinct date_trunc('hour', event_time_local)) AS hours_active,\n    round(count(*) / count(distinct date_trunc('hour', event_time_local))::numeric, 2) AS deploys_per_hour,\n    round(count(distinct device_id) / count(distinct date_trunc('hour', event_time_local))::numeric, 2) AS devices_per_hour,\n    count(*) filter (where downtown) AS downtown_deployments,\n    count(*) filter (where not downtown) AS non_downtown_deployments,\n    round((count(*) filter (where downtown))::numeric / count(*), 2) AS downtown_pct,\n    round((count(*) filter (where not downtown))::numeric / count(*), 2) AS non_downtown_pct\nFROM\n    deployments\nGROUP BY\n    provider_name, date_trunc('day', event_time_local), vehicle_type\nORDER BY\n    event_day DESC, provider_name, vehicle_type\n;"}
{"doc_id": "0a39527b35bdd1687659b8614217c4c6", "text": "-- Author: Shaina Krumme\n-- Date: 19 June 2018\n-- Description: Commands to demonstrate how to use Cassandra.\n\n-- Installing Cassandra with Homebrew: brew install cassandra\n-- Launch Cassandra: cassandra -f\n-- Open new Terminal tab to Run Cassandra shell: cqlsh\n\n-- Create and start using keyspace\n\nCREATE KEYSPACE employee_keyspace\nWITH REPLICATION = {'class':'SimpleStrategy', 'replication_factor':0};\nUSE employee_keyspace\n\n-- Create table\n-- Create table columns: empno, ename, jobtitle, and hiredate of employee\n\nCREATE TABLE employee_table\n(empno INT, ename TEXT, jobtitle TEXT, hiredate DATE);\n\n-- Insert values into table.\n\nINSERT INTO employee_table (empno, ename, jobtitle, hiredate)\nVALUES (1, 'Amy', 'lawyer', '1980-01-17');\n\nINSERT INTO employee_table (empno, ename, jobtitle, hiredate)\nVALUES (2, 'Brian', 'lawyer', '1990-01-17');\n\nINSERT INTO employee_table (empno, ename, jobtitle, hiredate)\nVALUES (3, 'Catherine', 'clerk', '2000-01-17');\n\nINSERT INTO employee_table (empno, ename, jobtitle, hiredate)\nVALUES (4, 'Daniel', 'clerk', '2010-01-17');\n\n-- List the empno, ename, jobtitle, and hiredate of employee from the employee table.\n\nSELECT empno, ename, jobtitle, hiredate from employee_table;\n\n-- Add column to table: salary\n-- Update the table and set the salary amount for each employee.\n\nALTER TABLE employee_table ADD salary INT;\n\nUPDATE employee_table\nSET salary = 1500\nWHERE empno 1;\n\nUPDATE employee_table\nSET salary = 1500\nWHERE empno = 2;\n\nUPDATE employee_table\nSET salary = 500\nWHERE empno = 3;\n\nUPDATE employee_table\nSET salary = 500\nWHERE empno = 4;\n\n-- List the name and salary of the employees who are clerks.\n\nSELECT ename, salary from employee_table\nWHERE jobtitle = 'clerk';\n\n-- List the name,job,salary of every employee joined on \u2018december 17,1980\u2019\n\nSELECT ename, jobtitle, salary from employee_table\nWHERE  hiredate = '1980-12-17';\n\n-- List name and annual salary of all the employees.\n\nSELECT ename, salary from employee_table\n\n-- Add columns to table: deptname, deptno\n-- Update the table and set the deptname and deptno for each employee.\n\nALTER TABLE employee_table ADD deptname TEXT, deptno INT;\n\nUPDATE employee_table\nSET deptname = 'law'\nSET deptno = 19\nWHERE jobtitle 'lawyer';\n\nUPDATE employee_table\nSET deptname = 'legalaid'\nSET deptno = 20\nWHERE jobtitle 'clerk';\n\n-- List the department name & deptno for departments having deptno. >=20\n\nSELECT dname, deptno from employee_table\nWHERE  = deptno >= 20;\n\n-- Add columns to table: manager\n-- Update the table and set the manager value for each employee.\n\nALTER TABLE employee_table ADD manager INT;\n\nUPDATE employee_table\nSET manager = 500;\nWHERE empno 1;\n\nUPDATE employee_table\nSET manager = 500;\nWHERE empno = 2;\n\nUPDATE employee_table\nSET manager = 600;\nWHERE empno = 3;\n\nUPDATE employee_table\nSET manager = 600;\nWHERE empno = 4;\n\n-- Display employees\u2019 names, salary and manager values of those employees whose\n-- salary is 500 from employee_table using SELECT statement.\n\nSELECT dname, salary, manager from employee_table\nWHERE salary == 500;\n"}
{"doc_id": "0a7ddd0cb46786b971db5b08f7046609", "text": "CREATE TABLE company\n(\nid integer NOT NULL,\nname character varying,\nCONSTRAINT company_pkey PRIMARY KEY (id)\n);\n\nCREATE TABLE person\n(\nid integer NOT NULL,\nname character varying,\ncompany_id integer,\nCONSTRAINT person_pkey PRIMARY KEY (id)\n);\n\ninsert into company(id, name) values(1, 'company_1');\ninsert into company(id, name) values(2, 'company_2');\ninsert into company(id, name) values(3, 'company_3');\ninsert into company(id, name) values(4, 'company_4');\ninsert into company(id, name) values(5, 'company_5');\n\ninsert into person(id, name, company_id) values(1, 'person_1', 1);\ninsert into person(id, name, company_id) values(2, 'person_2', 1);\ninsert into person(id, name, company_id) values(3, 'person_3', 2);\ninsert into person(id, name, company_id) values(4, 'person_4', 3);\ninsert into person(id, name, company_id) values(5, 'person_5', 3);\ninsert into person(id, name, company_id) values(6, 'person_6', 3);\ninsert into person(id, name, company_id) values(7, 'person_7', 5);\ninsert into person(id, name, company_id) values(8, 'person_8', 5);\ninsert into person(id, name, company_id) values(9, 'person_9', 5);\n\nselect * from company;\nselect * from person;\n\n--1\nselect p.name, c.name from person as p left join company as c ON p.company_id=c.id\nwhere c.id !=5;\n\n--2 \u043f\u0440\u0438\u043c\u0435\u0440 \u0441 \u0432\u044b\u0432\u043e\u0434\u043e\u043c \u043e\u0434\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u0447\u043a\u0438\nselect c.name, count(p.id) from person as p right join company as c ON p.company_id=c.id\ngroup by c.name\norder by count(p.id) DESC\nLIMIT 1;\n\n--2 \u043f\u0440\u0438\u043c\u0435\u0440 \u0435\u0441\u043b\u0438 \u0441\u0442\u0440\u043e\u043a \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e\nselect c.name, count(p.id) from person as p right join company as c ON p.company_id=c.id\ngroup by c.name\nhaving count(p.id)=(\n    select MAX(y.col_pers) from (\n\t\tselect c.name, count(p.id) as col_pers from person as p right join company as c ON p.company_id=c.id\n\tgroup by c.name) y\n);"}
{"doc_id": "0a9954be23d508ae0012be056b927057", "text": "select\n\ts.id as \"storageUnitId\",\n\ts.type as \"storageUnitType\",\n\tfa.status as \"failureStatus\",\n\tcount(distinct fa.id) as \"count\"\nfrom\n\tStorageUnit s\njoin StorageConsistencyCheck c on\n\tc.storageUnit_id = s.id\njoin StorageFailure fa on\n\tc.id = fa.consistencyCheck_id\nwhere\n\tfa.type = :missingEntityFailureType\ngroup by\n\ts.id,\n\ts.type,\n\tfa.type,\n\tfa.status\norder by\n\ts.id asc,\n\ts.type asc,\n\tfa.type asc,\n\tfa.status asc,\n\t\"count\" asc"}
{"doc_id": "0a9e3b2f60991551e2af192d802fe91f", "text": "SELECT \n\tt.Id,\n\tFirstName + ' ' +ISNULL(MiddleName + ' ','') + LastName AS [FullName],\n\tca.[Name] AS [From],\n\tch.[Name] AS [To],\nCASE\n\tWHEN t.CancelDate IS NOT NULL THEN 'Canceled'\n\tELSE CAST(DATEDIFF(DAY, t.ArrivalDate, t.ReturnDate) AS VARCHAR) + ' days'\nEND AS Duration\nFROM Trips t\n\tJOIN AccountsTrips at ON at.TripId=t.Id\n\tJOIN Accounts acc ON acc.Id= at.AccountId\n\tJOIN Cities ca ON ca.Id=acc.CityId\n\tJOIN Rooms r ON r.Id=t.RoomId\n\tJOIN Hotels h ON h.Id=r.HotelId\n\tJOIN Cities ch ON ch.Id=h.CityId\nORDER BY FullName, t.Id\n\t"}
{"doc_id": "0aa404d9652cc82942920da4097c89f9", "text": "CREATE TABLE feedback (\n\tid      BIGINT AUTO_INCREMENT NOT NULL,\n\tcontent VARCHAR(1024)         NOT NULL,\n\tcreated DATETIME              NOT NULL,\n\tCONSTRAINT pk_feedback PRIMARY KEY (id)\n);\n\nCREATE TABLE paytype (\n\tid               BIGINT AUTO_INCREMENT NOT NULL,\n\tname             VARCHAR(255)          NOT NULL,\n\taffects_balance  TINYINT(1)            NOT NULL DEFAULT 0,\n\taffects_quantity TINYINT(1)            NOT NULL DEFAULT 0,\n\tCONSTRAINT pk_paytype PRIMARY KEY (id)\n);\n\nCREATE TABLE product (\n\tid       BIGINT AUTO_INCREMENT NOT NULL,\n\tname     VARCHAR(255)          NOT NULL,\n\tprice    DECIMAL(38, 2)        NOT NULL,\n\tquantity INTEGER               NOT NULL,\n\tCONSTRAINT pk_product PRIMARY KEY (id)\n);\n\nCREATE TABLE status (\n\tid   BIGINT AUTO_INCREMENT NOT NULL,\n\tname VARCHAR(255)          NOT NULL,\n\tCONSTRAINT pk_status PRIMARY KEY (id)\n);\n\nCREATE TABLE stocktaking (\n\tid           BIGINT AUTO_INCREMENT NOT NULL,\n\tcreated      DATETIME              NOT NULL,\n\tusers        LONGTEXT,\n\tproducts     LONGTEXT,\n\ttransactions LONGTEXT,\n\tCONSTRAINT pk_stocktaking PRIMARY KEY (id)\n);\n\nCREATE TABLE transaction (\n\tid         BIGINT AUTO_INCREMENT NOT NULL,\n\tinvalid    TINYINT(1)            NOT NULL DEFAULT 0,\n\tcreated    DATETIME              NOT NULL,\n\tuser_id    BIGINT                NOT NULL,\n\tpaytype_id BIGINT                NOT NULL,\n\tCONSTRAINT pk_transaction PRIMARY KEY (id)\n);\n\nCREATE TABLE transaction_product (\n\tid         BIGINT AUTO_INCREMENT NOT NULL,\n\tname       VARCHAR(255)          NOT NULL,\n\tprice      DECIMAL(38, 2)        NOT NULL,\n\tquantity   INTEGER               NOT NULL,\n\tproduct_id BIGINT                NOT NULL,\n\tCONSTRAINT pk_transaction_product PRIMARY KEY (id)\n);\n\nCREATE TABLE transaction_transaction_product (\n\ttransaction_id         BIGINT NOT NULL,\n\ttransaction_product_id BIGINT NOT NULL,\n\tCONSTRAINT pk_transaction_transaction_product PRIMARY KEY (transaction_id, transaction_product_id)\n);\n\nCREATE TABLE user (\n\tid         BIGINT AUTO_INCREMENT NOT NULL,\n\tfirst_name VARCHAR(255)          NOT NULL,\n\tlast_name  VARCHAR(255)          NOT NULL,\n\tbeer_name  VARCHAR(255),\n\tstatus_id  BIGINT                NOT NULL,\n\tbalance    DECIMAL(38, 2)        NOT NULL,\n\tCONSTRAINT pk_user PRIMARY KEY (id)\n);\n\n\nCREATE TABLE paytype_status (\n\tpaytype_id BIGINT NOT NULL,\n\tstatus_id  BIGINT NOT NULL,\n\tCONSTRAINT pk_paytype_status PRIMARY KEY (paytype_id, status_id)\n);\n\nALTER TABLE transaction ADD CONSTRAINT fk_transaction_user_1 FOREIGN KEY (user_id) REFERENCES user (id)\n\tON DELETE RESTRICT\n\tON UPDATE RESTRICT;\nCREATE INDEX ix_transaction_user_1 ON transaction (user_id);\nALTER TABLE transaction ADD CONSTRAINT fk_transaction_paytype_2 FOREIGN KEY (paytype_id) REFERENCES paytype (id)\n\tON DELETE RESTRICT\n\tON UPDATE RESTRICT;\nCREATE INDEX ix_transaction_paytype_2 ON transaction (paytype_id);\nALTER TABLE user ADD CONSTRAINT fk_user_status_4 FOREIGN KEY (status_id) REFERENCES status (id)\n\tON DELETE RESTRICT\n\tON UPDATE RESTRICT;\nCREATE INDEX ix_user_status_4 ON user (status_id);\n\n\nALTER TABLE paytype_status ADD CONSTRAINT fk_paytype_status_paytype_01 FOREIGN KEY (paytype_id) REFERENCES paytype (id)\n\tON DELETE RESTRICT\n\tON UPDATE RESTRICT;\n\nALTER TABLE paytype_status ADD CONSTRAINT fk_paytype_status_status_02 FOREIGN KEY (status_id) REFERENCES status (id)\n\tON DELETE RESTRICT\n\tON UPDATE RESTRICT;\n\nALTER TABLE transaction_product ADD CONSTRAINT fk_transaction_product_product FOREIGN KEY (product_id) REFERENCES product (id)\n\tON DELETE RESTRICT\n\tON UPDATE RESTRICT;\n\nALTER TABLE transaction_transaction_product ADD CONSTRAINT fk_transaction_transaction_product_01 FOREIGN KEY (transaction_id) REFERENCES transaction (id)\n\tON DELETE RESTRICT\n\tON UPDATE RESTRICT;\n\nALTER TABLE transaction_transaction_product ADD CONSTRAINT fk_transaction_transaction_product_02 FOREIGN KEY (transaction_product_id) REFERENCES transaction_product (id)\n\tON DELETE RESTRICT\n\tON UPDATE RESTRICT;"}
{"doc_id": "0ab976fe37c3ef58d41ec38d5451f97f", "text": "-- question: how many customers do we have?\r\nSELECT count(*) from customers;\r\n\r\n-- question: get the 5 customers with the most returned orders\r\nSELECT customers.customer_id, customers.first_name, customers.last_name, sum(orders.amount) as order_amount\r\nfrom customers\r\ninner join orders on customers.customer_id = orders.customer_id\r\nwhere status = 'returned'\r\ngroup by customers.customer_id, first_name, last_name\r\norder by sum(orders.amount) desc limit 5;\r\n\r\n-- question: how many customers have used gift cards?\r\nSELECT count(distinct customer_id)\r\nfrom orders\r\nwhere gift_card_amount > 0"}
{"doc_id": "0abdc30b346bd10cc2d21ca955666060", "text": "USE `orbs_token`;\nDROP procedure IF EXISTS `get_rewards_for_delegator`;\n\nDELIMITER $$\nUSE `orbs_token`$$\nCREATE DEFINER=`orbs`@`%` PROCEDURE `get_rewards_for_delegator`(IN election_num_start INTEGER, IN election_num_end INTEGER, IN filter_address CHAR(42))\nBEGIN\n\nDROP TEMPORARY TABLE IF EXISTS tmp_drewards;\nCREATE TEMPORARY TABLE IF NOT EXISTS tmp_drewards(\n    known VARCHAR(200),\n    address CHAR(42),\n    stake decimal(29,4),\n    delegators_reward FLOAT,\n    election_block BIGINT,\n    election_num INT,\n    INDEX ix_address (address)\n);\n\nWHILE election_num_start >= election_num_end DO\n    SET @blocknumber := get_elections_block(election_num_start);\n    INSERT tmp_drewards\n    SELECT\n        known,\n        address,\n        stake,\n        delegators_reward,\n        @blocknumber,\n        election_num_start\n    FROM delegators_rewards\n    WHERE address = filter_address;\n    SET election_num_start = election_num_start - 1;\nEND WHILE;\n\nSELECT \n    address,\n    known,\n    GET_REGION(address) AS region,\n    stake AS stake_at_election,\n    IN_ORBS(GET_STAKE(address)) AS current_holdings,\n    delegators_reward,\n    election_block,\n    election_num\nFROM\n    tmp_drewards;\nDROP TEMPORARY TABLE IF EXISTS tmp_rewards;\nEND$$\n\nDELIMITER ;\n\n"}
{"doc_id": "0ac4bcdb0abc4d88dc61396e9d65cf3c", "text": "\n-- I recommend testing your queries with the environment below, and then saving them to a file. Then compare your file to my solutions on the next concept!\n\n-- If you have two or more columns in your SELECT that have the same name after the table name such as accounts.name and sales_reps.name you will need to alias them. Otherwise it will only show one of the columns. You can alias them like accounts.name AS AcountName, sales_rep.name AS SalesRepName\n\n-- Questions\n\n\n\n--1. Provide a table that provides the region for each sales_rep along with their associated accounts. This time only for the Midwest region. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.\nselect r.name region_name, s.name sales_rep_name, a.name accounts_name\nfrom sales_reps s\njoin region r\non s.region_id = r.id and r.name = 'Midwest'\njoin accounts a\non a.sales_rep_id = s.id\norder by a.name;\n\nSELECT r.name region, s.name rep, a.name account\nFROM sales_reps s\nJOIN region r\nON s.region_id = r.id\nJOIN accounts a\nON a.sales_rep_id = s.id\nWHERE r.name = 'Midwest'\nORDER BY a.name;\n\n\n--2. Provide a table that provides the region for each sales_rep along with their associated accounts. This time only for accounts where the sales rep has a first name starting with S and in the Midwest region. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.\nselect r.name region,a.name account,s.name sales\nfrom sales_reps s\njoin region r\non s.region_id = r.id and r.name = 'Midwest' and s.name like 'S%'\njoin accounts a\non a.sales_rep_id = s.id and s.name like 'S%'\norder by account;\n\nSELECT r.name region, s.name rep, a.name account\nFROM sales_reps s\nJOIN region r\nON s.region_id = r.id\nJOIN accounts a\nON a.sales_rep_id = s.id\nWHERE r.name = 'Midwest' AND s.name LIKE 'S%'\nORDER BY a.name;\n\n\n--3. Provide a table that provides the region for each sales_rep along with their associated accounts. This time only for accounts where the sales rep has a last name starting with K and in the Midwest region. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.\nselect r.name region,a.name account,s.name sales\nfrom sales_reps s\njoin region r\non s.region_id = r.id and r.name = 'Midwest' and s.name like '% K%'\njoin accounts a\non a.sales_rep_id = s.id and s.name like '% K%'\norder by account;\n\n\nSELECT r.name region, s.name rep, a.name account\nFROM sales_reps s\nJOIN region r\nON s.region_id = r.id\nJOIN accounts a\nON a.sales_rep_id = s.id\nWHERE r.name = 'Midwest' AND s.name LIKE '% K%'\nORDER BY a.name;\n\n\n--4. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. However, you should only provide the results if the standard order quantity exceeds 100. Your final table should have 3 columns: region name, account name, and unit price. In order to avoid a division by zero error, adding .01 to the denominator here is helpful total_amt_usd/(total+0.01).\nselect r.name region, a.name account_name, (o.total_amt_usd/(o.total +.01)) as unit_price\nfrom orders o\njoin accounts a\non a.id = o.account_id and o.standard_qty>100\njoin sales_reps s\non s.id = a.sales_rep_id\njoin region r\non s.region_id = r.id;\n\n\nSELECT r.name region, a.name account, o.total_amt_usd/(o.total + 0.01) unit_price\nFROM region r\nJOIN sales_reps s\nON s.region_id = r.id\nJOIN accounts a\nON a.sales_rep_id = s.id\nJOIN orders o\nON o.account_id = a.id\nWHERE o.standard_qty > 100;\n\n\n--5. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. However, you should only provide the results if the standard order quantity exceeds 100 and the poster order quantity exceeds 50. Your final table should have 3 columns: region name, account name, and unit price. Sort for the smallest unit price first. In order to avoid a division by zero error, adding .01 to the denominator here is helpful (total_amt_usd/(total+0.01).\nselect r.name region, a.name account_name, (o.total_amt_usd/(o.total +.01)) as unit_price\nfrom orders o\njoin accounts a\non a.id = o.account_id and o.standard_qty>100 and o.poster_qty>50\njoin sales_reps s\non s.id = a.sales_rep_id\njoin region r\non s.region_id = r.id;\n\nSELECT r.name region, a.name account, o.total_amt_usd/(o.total + 0.01) unit_price\nFROM region r\nJOIN sales_reps s\nON s.region_id = r.id\nJOIN accounts a\nON a.sales_rep_id = s.id\nJOIN orders o\nON o.account_id = a.id\nWHERE o.standard_qty > 100 AND o.poster_qty > 50\nORDER BY unit_price;\n\n\n--6.  Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. However, you should only provide the results if the standard order quantity exceeds 100 and the poster order quantity exceeds 50. Your final table should have 3 columns: region name, account name, and unit price. Sort for the largest unit price first. In order to avoid a division by zero error, adding .01 to the denominator here is helpful (total_amt_usd/(total+0.01).\nselect r.name region, a.name account_name, (o.total_amt_usd/(o.total +.01)) as unit_price\nfrom orders o\njoin accounts a\non a.id = o.account_id and o.standard_qty>100 and o.poster_qty>50\njoin sales_reps s\non s.id = a.sales_rep_id\njoin region r\non s.region_id = r.id\norder by unit_price desc;\n\n\n--7. What are the different channels used by account id 1001? Your final table should have only 2 columns: account name and the different channels. You can try SELECT DISTINCT to narrow down the results to only the unique values.\nselect distinct a.name,w.channel\nfrom accounts a\njoin web_events w\non a.id = w.account_id and a.id = 1001;\n\n\n--8. Find all the orders that occurred in 2015. Your final table should have 4 columns: occurred_at, account name, order total, and order total_amt_usd.\nSELECT o.occurred_at, a.name, o.total, o.total_amt_usd\nFROM accounts a\nJOIN orders o\nON o.account_id = a.id\nWHERE o.occurred_at BETWEEN '01-01-2015' AND '01-01-2016'\nORDER BY o.occurred_at DESC;"}
{"doc_id": "0ad64bc5b1e306a8e8210fed4ca2ce4c", "text": "CREATE MATERIALIZED VIEW mv_profit_balances_by_month AS (\n\n  WITH\n      player_max_date_by_month AS (\n        SELECT\n          f_player_id,\n          MAX(f_date) AS f_date\n        FROM\n          v_profit_balances\n        GROUP BY\n          f_player_id,\n          DATE_TRUNC('month', f_date) :: DATE\n    ),\n      last_values_by_month AS (\n        SELECT\n          f_player_id,\n          DATE_TRUNC('month', f_date) :: DATE AS f_date,\n          f_total_profit,\n          f_balance_profit,\n          f_deposit_profit,\n          f_cashout_profit\n        FROM\n          v_profit_balances\n          JOIN\n          player_max_date_by_month USING (f_player_id, f_date)\n    ),\n      last_month AS (\n        SELECT MAX(f_date) AS f_last_month\n        FROM\n          last_values_by_month\n    ),\n      player_all_months AS (\n        SELECT\n          f_player_id,\n          generate_series(min(f_date), f_last_month,\n                          '1 month') :: DATE AS f_date\n        FROM\n          last_values_by_month,\n          last_month\n        GROUP BY\n          f_player_id,\n          f_last_month\n    ),\n      with_metric_ids AS (\n        SELECT\n          f_player_id,\n          f_date,\n\n          f_total_profit,\n          f_balance_profit,\n          f_deposit_profit,\n          f_cashout_profit,\n\n          COUNT(f_balance_profit)\n          OVER w AS f_balance_profit_id -- Use only one column id because all profits exist at the same time\n        FROM\n          player_all_months\n          LEFT JOIN\n          last_values_by_month USING (f_player_id, f_date)\n        WINDOW w AS (\n          PARTITION BY\n            f_player_id\n          ORDER BY\n            f_date\n        )\n    )\n  SELECT\n    f_player_id,\n    f_date,\n\n    COALESCE(\n        f_balance_profit,\n        first_value(f_balance_profit)\n        OVER w\n    ) AS f_balance_profit,\n\n    COALESCE(\n        f_total_profit,\n        first_value(f_balance_profit)\n        OVER w\n    ) AS f_total_profit,\n\n    COALESCE(\n        f_deposit_profit,\n        first_value(f_deposit_profit)\n        OVER w\n    ) AS f_deposit_profit,\n\n    COALESCE(\n        f_cashout_profit,\n        first_value(f_cashout_profit)\n        OVER w\n    ) AS f_cashout_profit\n  FROM\n    with_metric_ids\n  WINDOW w AS (\n    PARTITION BY\n      f_player_id,\n      f_balance_profit_id\n    ORDER BY\n      f_date\n  )\n\n);\n"}
{"doc_id": "0ad67a0324a051de8037d2514a35944b", "text": "with\n     period as (\n        select * from v_period\n    ),\n     spending_by_period as (\n         select end_date, -1 * sum(ils) ils, -1 * sum(usd) usd\n         from period left join v_payment p\n             on paid_date >= period.start_date and paid_date <= period.end_date\n         group by end_date\n     ),\n     income_by_period as (\n         select end_date,\n                sum(case currency when 'ILS' then amount else null end) ils,\n                sum(case currency when 'USD' then amount else null end) usd\n         from period left join income\n             on paid_date >= period.start_date and paid_date <= period.end_date\n         group by end_date\n     ),\n     combined as (\n        select '0 Starting CAR' record, period.end_date, ils, usd from v_car_summary inner join period on record_date = period.start_date\n        union all\n        select '1 Income', * from income_by_period\n        union all\n        select '2 Spending', * from spending_by_period\n        union all\n        select '3 Ending CAR', period.end_date, ils, usd\n        from v_car_summary inner join period\n            on record_date = period.end_date + (24 * 60 * 60)\n    )\n    select record,\n           date(v_period.start_date / 1000, 'unixepoch') start_date,\n           date(v_period.end_date / 1000, 'unixepoch') end_date,\n           ils, usd\n    from combined\n        inner join v_period on combined.end_date = v_period.end_date\n    order by end_date desc, record desc;\n;\n\n\nselect\n    date(start_date / 1000, 'unixepoch') start_date,\n    date(end_date / 1000, 'unixepoch') end_date,\n    ils, usd\nfrom v_unreported_spending\nwhere start_date <> 0\n"}
{"doc_id": "0aea70b2e146f7fa1c2fbaf5cd469cb6", "text": ".mode columns\n.headers on\n\nDROP TABLE IF EXISTS AmizadeTransitiva;\n\nCREATE TABLE AmizadeTransitiva( \n\tID1 INTEGER, \n\tID2 INTEGER,\n\tPRIMARY KEY(ID1, ID2),\n\tCHECK(ID1 <> ID2)\n);\n\nINSERT INTO AmizadeTransitiva(ID1, ID2)\nSELECT E1.ID, E3.ID\nFROM Estudante E1 join Amizade A1 join Estudante E2 join Amizade A2 join Estudante E3\nWHERE E1.ID=A1.ID1 AND A1.ID2=E2.ID AND E2.ID=A2.ID1 AND A2.ID2=E3.ID\nAND E1.ID <> E3.ID\nAND NOT EXISTS(SELECT * FROM Amizade A3 WHERE A3.ID1=E1.ID AND A3.ID2=E3.ID)\nAND NOT EXISTS(SELECT * FROM AmizadeTransitiva AT WHERE AT.ID1=E1.ID AND AT.ID2=E3.ID)\nGROUP BY E1.ID, E3.ID\nORDER BY E1.ID;\n\nSELECT * FROM AmizadeTransitiva;\n"}
{"doc_id": "0af2995eb5fef2e7d76b22dbc723431b", "text": "# Time:  O(n) \n# Space: O(n) \nSELECT s.id, \n       s.name \nFROM   students s \n       LEFT JOIN departments d \n              ON d.id = s.department_id \nWHERE  d.id IS NULL; \n\n# Time:  O(n) \n# Space: O(n) \nSELECT s.id, \n       s.name \nFROM   students s\nWHERE  NOT EXISTS (SELECT id \n                   FROM   departments d\n                   WHERE  d.id = s.department_id); \n"}
{"doc_id": "0af90d13f497e5fc5d766d511376f0ea", "text": "-- extensions\nCREATE EXTENSION IF NOT EXISTS timescaledb CASCADE;\n\n-- labels\nCREATE TABLE IF NOT EXISTS metric_labels (\n  \"lid\"     uuid NOT NULL,                -- label ID: fingerprint hash of metric name+labels\n  \"time\"    TIMESTAMP NOT NULL,           -- last seen time: latest sample time\n  \"labels\"  jsonb NOT NULL                -- label contents\n);\n\nCREATE UNIQUE INDEX IF NOT EXISTS metric_labels_lid\nON metric_labels (\n  lid\n);\n\nCREATE INDEX IF NOT EXISTS metric_labels_labels\nON metric_labels\nUSING GIN (\n  labels\n);\n\nCREATE INDEX IF NOT EXISTS metric_labels_instance_lid\nON metric_labels (\n  (labels->>'instance'),\n  lid\n);\nCREATE INDEX IF NOT EXISTS metric_labels_name_lid\nON metric_labels (\n  (labels->>'__name__'),\n  lid\n);\nCREATE INDEX IF NOT EXISTS metric_labels_name_namespace_podname\nON metric_labels\nUSING BTREE (\n  (labels->>'__name__'),\n  (labels->>'namespace'),\n  (labels->>'pod_name'),\n  lid\n)\nWHERE\n  labels ?& array['namespace', 'pod_name'];\n\n-- samples\nCREATE TABLE IF NOT EXISTS metric_samples (\n  \"time\"  TIMESTAMP NOT NULL,             -- sample time\n  \"name\"  TEXT NOT NULL,                  -- metric name\n  \"lid\"   uuid NOT NULL,                  -- metric lid\n  \"value\" double precision NOT NULL       -- value\n);\n\nSELECT create_hypertable(\n  'metric_samples',\n  'time',\n  chunk_time_interval => INTERVAL '1 hour',\n  create_default_indexes => TRUE,\n  if_not_exists => TRUE,\n  migrate_data => TRUE\n);\n\nSELECT set_chunk_time_interval(\n  'metric_samples',\n  INTERVAL '1 hour'\n);\n\nCREATE INDEX IF NOT EXISTS metric_samples_lid_time\nON metric_samples\nUSING BTREE (\n  lid,\n  time DESC\n);\n-- this index is required for caggs, but causes 2x write amplification\nCREATE INDEX IF NOT EXISTS metric_samples_name_time\nON metric_samples\nUSING BTREE (\n  name,\n  time DESC\n);\n\n-- samples compression\nALTER TABLE metric_samples\nSET (\n  timescaledb.compress,\n  timescaledb.compress_orderby = 'time DESC',\n  timescaledb.compress_segmentby = 'lid'\n);\n\nSELECT add_compress_chunks_policy(\n  'metric_samples',\n  INTERVAL :retain_live\n);\n\nCREATE OR REPLACE VIEW metrics AS\nSELECT\n  s.time,\n  l.labels->>'__name__' AS name,\n  s.lid,\n  s.value,\n  l.labels\nFROM metric_labels AS l\nJOIN metric_samples AS s\n  ON s.lid = l.lid\nWHERE\n  s.time > NOW() - INTERVAL :retain_live;  -- prevent high-resolution queries from searching compressed chunks\n"}
{"doc_id": "0b36c3e30d59999dfb60e67a00cc6fec", "text": "/*\nWrite an SQL query that reports for every date within at most 90 days from today,\nthe number of users that logged in for the first time on that date. Assume today is 2019-06-30.\n*/\n# Write your MySQL query statement below\nselect login_date, count(user_id) as user_count\nfrom\n(select user_id, min(activity_date) as login_date\nfrom Traffic\nwhere activity = 'login'\ngroup by user_id) t\nwhere datediff('2019-06-30', login_date) <= 90\ngroup by login_date\n"}
{"doc_id": "0b7cd2509683f0fd932118daa2901fc8", "text": "DROP TABLE REDIRECT;\r\n\r\nCREATE TABLE REDIRECT (\r\n\tREDIRECT_ID BIGSERIAL NOT NULL,\r\n\tFROM_PATH VARCHAR(1000),\r\n\tTO_PATH VARCHAR(1000),\r\n\tCREATE_DATE TIMESTAMP WITHOUT TIME ZONE DEFAULT now() NOT NULL,\r\n\tMODIFY_DATE TIMESTAMP WITHOUT TIME ZONE DEFAULT now() NOT NULL,\r\n\tWEB_SITE_ID INT NOT NULL,\r\n\tCONSTRAINT REDIRECT_PKEY PRIMARY KEY(REDIRECT_ID)\r\n);\r\n\r\nALTER TABLE REDIRECT\r\nADD CONSTRAINT REDIRECT__WEB_SITE_FK FOREIGN KEY (WEB_SITE_ID)\r\nREFERENCES WEB_SITE(WEB_SITE_ID) ON DELETE NO ACTION ON UPDATE NO ACTION NOT DEFERRABLE;\r\n\r\nCREATE UNIQUE INDEX REDIRECT__FROM_PATH__WEB_SITE_ID_KEY ON REDIRECT\r\n\tUSING btree (FROM_PATH, WEB_SITE_ID);\r\n"}
{"doc_id": "0b7cda7aa50916afded5eb0ec6d445d9", "text": "create table users (\n\tid int primary key Identity(1,1),\n\tname nvarchar(50) unique\n)\n\ncreate table excercises (\n    id int NOT NULL Identity(1,1) primary key,\n    name nvarchar(100) ,\n    bpm int,\n    user_id int foreign key references users(id)\n)\n\ncreate table history (\n    excercise_id int foreign key references excercises(id),\n    dt datetime,\n    bpm int\n)\n\ninsert into users (name) values ('Feiyang Chen')\n\ninsert into excercises (name, bpm, user_id) values ('double stroke roll - full stroke', 62, 1)\ninsert into excercises (name, bpm, user_id) values ('paradiddle', 43, 1)\n\nselect * \nfrom excercises inner join users on users.id = excercises.user_id\nwhere users.name = 'Feiyang Chen'\n\nselect excercises.name as name, excercises.bpm as bpm, history.dt as dt, history.bpm as hbpm\nfrom excercises inner join users on users.id = excercises.user_id\nleft join history on excercises.id = history.excercise_id\nwhere users.name = 'Feiyang Chen'\n\n\nupdate excercises\nSet bpm = bpm + 1 \nwhere name = 'paradiddle'\n\ninsert into history \nselect id, '02-29-2016', bpm\nfrom excercises\nwhere excercises.name = 'paradiddle'\n\nselect * from history\n\nselect excercises.name as name, excercises.bpm as bpm, history.dt as dt, history.bpm as hbpm\nfrom excercises inner join users on users.id = excercises.user_id\nleft join history on excercises.id = history.excercise_id\nwhere users.name = 'Feiyang Chen'"}
{"doc_id": "0b82e5ef65c56469def578b9b788a68b", "text": "-- CreateEnum\nCREATE TYPE \"Role\" AS ENUM ('DOCTOR', 'THERAPY', 'CARE_MANAGER');\n\n-- CreateTable\nCREATE TABLE \"Appointment\" (\n    \"id\" SERIAL NOT NULL,\n    \"start_time\" TIMESTAMP(3) NOT NULL,\n    \"end_time\" TIMESTAMP(3) NOT NULL,\n    \"userId\" INTEGER NOT NULL,\n    \"createdAt\" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,\n\n    CONSTRAINT \"Appointment_pkey\" PRIMARY KEY (\"id\")\n);\n\n-- CreateTable\nCREATE TABLE \"User\" (\n    \"id\" SERIAL NOT NULL,\n    \"role\" \"Role\" NOT NULL,\n    \"first_name\" TEXT NOT NULL,\n    \"last_name\" TEXT NOT NULL,\n    \"birthdate\" TIMESTAMP(3),\n    \"createdAt\" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,\n\n    CONSTRAINT \"User_pkey\" PRIMARY KEY (\"id\")\n);\n\n-- AddForeignKey\nALTER TABLE \"Appointment\" ADD CONSTRAINT \"Appointment_userId_fkey\" FOREIGN KEY (\"userId\") REFERENCES \"User\"(\"id\") ON DELETE RESTRICT ON UPDATE CASCADE;\n"}
{"doc_id": "0b8be126f2772f1aea7ecf757f42d0aa", "text": "CREATE DATABASE agregacao;\n\nUSE agregacao;\n\nCREATE TABLE categorias(\n\tid INT NOT NULL AUTO_INCREMENT,\n\tnome VARCHAR(60) NOT NULL,\n\tPRIMARY KEY (id)\n);\n\nCREATE TABLE produtos(\n\tid INT NOT NULL AUTO_INCREMENT, \n\tdescricao VARCHAR(60) NOT NULL,\n\tpreco_venda DECIMAL(8,2) NOT NULL,\n\tpreco_custo DECIMAL(8,2) NOT NULL,\n\tid_categoria int NOT NULL,\n\tPRIMARY KEY (id),\n\tFOREIGN KEY (id_categoria) REFERENCES categorias(id)\n);\n\n\nINSERT INTO categorias (nome) VALUES ('Material Escolar');\nINSERT INTO categorias (nome) VALUES ('Acess\u00f3rio Inform\u00e1tica');\nINSERT INTO categorias (nome) VALUES ('Material Escrit\u00f3rio');\nINSERT INTO categorias (nome) VALUES ('Game');\n\nINSERT INTO produtos (descricao, preco_venda, preco_custo, id_categoria) VALUES ('Caderno', '5.45', '2.30', 1);\nINSERT INTO produtos (descricao, preco_venda, preco_custo, id_categoria) VALUES ('Caneta', '1.20', '0.45', 1);\nINSERT INTO produtos (descricao, preco_venda, preco_custo, id_categoria) VALUES ('Pendrive 32GB', '120.54', '32.55', 2);\nINSERT INTO produtos (descricao, preco_venda, preco_custo, id_categoria) VALUES ('Mouse', '17.00', '4.30', 2);\n\n-- max\nSELECT MAX(preco_venda) FROM produtos;\n\n-- min\nSELECT MIN(preco_venda) FROM produtos;\n\n-- avg\nSELECT AVG(preco_venda) FROM produtos;\n\n-- round\nSELECT ROUND(AVG(preco_venda), 2) FROM produtos;\n\n-- count\nSELECT COUNT(preco_venda) AS Quantidade FROM produtos WHERE id_categoria = 1;\n\n-- group by\nSELECT id_categoria, MAX(preco_venda) FROM produtos GROUP BY id_categoria;\n\n-- having\nSELECT id_categoria, MAX(preco_venda) FROM produtos GROUP BY id_categoria HAVING MAX(preco_venda) > 10;"}
{"doc_id": "0bc244a23bdcf7514323bf32535d528f", "text": "SELECT count(distinct ws_order_number) as order_count,\n               sum(ws_ext_ship_cost) as total_shipping_cost,\n               sum(ws_net_profit) as total_net_profit\nFROM web_sales ws1\nJOIN customer_address ca ON (ws1.ws_ship_addr_sk = ca.ca_address_sk)\nJOIN web_site s ON (ws1.ws_web_site_sk = s.web_site_sk)\nJOIN date_dim d ON (ws1.ws_ship_date_sk = d.d_date_sk)\nLEFT SEMI JOIN (SELECT ws2.ws_order_number as ws_order_number\n                               FROM web_sales ws2 JOIN web_sales ws3\n                               ON (ws2.ws_order_number = ws3.ws_order_number)\n                               WHERE ws2.ws_warehouse_sk <> ws3.ws_warehouse_sk) ws_wh1\nON (ws1.ws_order_number = ws_wh1.ws_order_number)\nLEFT OUTER JOIN web_returns wr1 ON (ws1.ws_order_number = wr1.wr_order_number)\nWHERE d.d_date between '2001-05-01' and date_add('2001-05-01',60) and\n               ca.ca_state = 'PA' and\n               s.web_company_name = 'pri' and\n               wr1.wr_order_number is null\nlimit 100;\n"}
{"doc_id": "0bc6780f366f114f3a31af529a6ddaca", "text": "CREATE TABLE Products (\n\tID INT NOT NULL PRIMARY KEY IDENTITY,\n\tName NVARCHAR(50) NOT NULL,\n\tPrice MONEY NULL\n);\n\nCREATE TABLE Customers (\n\tID INT NOT NULL PRIMARY KEY IDENTITY,\n\tFirstname NVARCHAR(20) NOT NULL,\n\tLastname NVARCHAR(20) NOT NULL,\n\tCardNumber NVARCHAR(50) NULL,\n);\n\nCREATE TABLE Orders (\n\tID INT NOT NULL PRIMARY KEY IDENTITY,\n\tProductID INT NOT NULL FOREIGN KEY REFERENCES Products(ID),\n\tCustomerID INT NOT NULL FOREIGN KEY REFERENCES Customers(ID),\n);\n\nINSERT INTO Products (Name, Price) VALUES\n('iPhone', $200),\n('Galaxy S9', $300),\n('Pixel 1', $400);\n\nINSERT INTO Customers (Firstname, Lastname, CardNumber ) VALUES\n('Tina', 'Smith', 1),\n('David', 'Prendiville', 2),\n('Dan', 'Silvestri', 3);\n\nINSERT INTO Orders (ProductID, CustomerID ) VALUES\n(1,1),\n(2,2),\n(1,3),\n(3,1);\n\nSELECT (c.Firstname + ' ' + c.Lastname) AS Customer, p.Name, p.Price\nFROM Customers c INNER JOIN Orders o ON c.ID = o.CustomerID \n\tINNER JOIN Products p ON o.ProductID = p.ID\nWHERE c.ID = 1\n;\n\nSELECT SUM(p.Price) AS 'Total Revenue of iPhone Sales'\nFROM Products p INNER JOIN Orders o On p.ID = o.ProductID\nWHERE p.ID = 1\n;\n\nUPDATE Products SET Price =  $250\nWHERE ID = 1;\n\n\n"}
{"doc_id": "0bd348dde0d5b94fef200d1b200305d4", "text": "-- find all employees along with their managers. For employees that do not have manager display the value \"(no manager)\"\nUSE TelerikAcademy\nSELECT e.FirstName + ' ' + e.LastName AS [Employee],\n\tCOALESCE(m.FirstName + ' ' + m.LastName, '(no manager)') AS [Manager]\nFROM Employees e\nleft OUTER JOIN Employees m\nON e.ManagerID = m.EmployeeID\nGROUP BY m.EmployeeID, e.FirstName, e.LastName, m.FirstName, m.LastName"}
{"doc_id": "0bdc1f41fc825d7e0fbc71fa8abe1bfc", "text": "\ufeffSELECT source_triggers.name trig, SCHEMA_NAME(source_triggers.SCHEMA_ID) trig_schema\nFROM sys.sql_expression_dependencies dependencies\n\tINNER JOIN sys.objects source_triggers\n\t\tON dependencies.referencing_id = source_triggers.[object_id]\n\tINNER JOIN sys.objects dest_tables\n\t\tON dependencies.referenced_id = dest_tables.[object_id]\nWHERE (SCHEMA_NAME(dest_tables.SCHEMA_ID) = @schema AND referenced_entity_name = @table)\n\tAND source_triggers.type_desc = 'SQL_TRIGGER'"}
{"doc_id": "0bdd8dc568665b3d28498dc977b86862", "text": "SELECT st.name AS name, sum(feb.7d) - sum(jan.7d) AS diff_7d, sum(feb.30d) - sum(jan.30d) as diff_30d\nFROM stations AS st \nINNER JOIN fares_jan18 AS jan \nINNER JOIN fares_feb1 AS feb\nON st.name = jan.station and jan.remote = feb.remote\nWHERE line = \"Broadway\" \nGROUP BY st.name"}
{"doc_id": "0bef7f6b5bc873afb2c46a18286fa6a8", "text": ";WITH CTE AS\n(\n    SELECT id, visit_date, people,\n           id - ROW_NUMBER() OVER (PARTITION BY CASE WHEN People >= 100 THEN 1 ELSE 0 END ORDER BY id) AS GrpId\n      FROM Stadium\n),\nSELECTION AS \n(\n    SELECT GrpId, CASE WHEN people >= 100 THEN 1 ELSE 0 END AS X\n      FROM CTE\n     GROUP BY GrpId, CASE WHEN people >= 100 THEN 1 ELSE 0 END\n    HAVING COUNT(1) >= 3\n)\nSELECT id, visit_date, people\n  FROM CTE\n WHERE GrpId IN (SELECT GrpId FROM SELECTION)\n   AND people >= 100\n"}
{"doc_id": "0bf80e3af702376939af65f24a3f5886", "text": "DROP TABLE IF EXISTS reservation;\nDROP TABLE IF EXISTS site;\nDROP TABLE IF EXISTS campground;\nDROP TABLE IF EXISTS park;\n\nDROP SEQUENCE IF EXISTS reservation_reservation_id_seq;\nDROP SEQUENCE IF EXISTS site_site_id_seq;\nDROP SEQUENCE IF EXISTS campground_campground_id_seq;\nDROP SEQUENCE IF EXISTS park_park_id_seq;\n\nCREATE SEQUENCE park_park_id_seq\n  INCREMENT BY 1\n  NO MAXVALUE\n  NO MINVALUE\n  CACHE 1;\n\nCREATE TABLE park (\n  park_id integer DEFAULT nextval('park_park_id_seq'::regclass) NOT NULL,\n  name varchar(80) NOT NULL,          -- Name of the park\n  location varchar(50) NOT NULL,      -- State name(s) where park is located\n  establish_date date NOT NULL,       -- Date park was established\n  area integer NOT NULL,              -- Area in acres\n  visitors integer NOT NULL,          -- Latest recorded number of annual visitors\n  description varchar(500) NOT NULL,  --\n  CONSTRAINT pk_park_park_id PRIMARY KEY (park_id)\n);\n\nCREATE SEQUENCE campground_campground_id_seq\n  INCREMENT BY 1\n  NO MAXVALUE\n  NO MINVALUE\n  CACHE 1;\n\nCREATE TABLE campground (\n  campground_id integer DEFAULT nextval('campground_campground_id_seq'::regclass) NOT NULL,\n  park_id integer NOT NULL,               -- Parent park\n  name varchar(80) NOT NULL,              -- Name of the campground\n  open_from_mm varchar(2) NOT NULL,       -- Campground is open from month: 01=January, 02=February, ... 12=December\n  open_to_mm varchar(4) NOT NULL,         -- Campground is open to month: 01=January, 02=February, ... 12=December\n  daily_fee money NOT NULL,\n  CONSTRAINT pk_campground_campground_id PRIMARY KEY (campground_id)\n);\n\nCREATE SEQUENCE site_site_id_seq\n  INCREMENT BY 1\n  NO MAXVALUE\n  NO MINVALUE\n  CACHE 1;\n\nCREATE TABLE site (\n  site_id integer DEFAULT nextval('site_site_id_seq'::regclass) NOT NULL,\n  campground_id integer NOT NULL,\n  site_number integer NOT NULL,                   -- Site numbers are\n  max_occupancy integer NOT NULL DEFAULT 6,       -- Sites are limited to 6 people, however some sites are \"doubled\" (12 people)\n  accessible boolean NOT NULL DEFAULT FALSE,      -- Accessible site, reserved for campers with disabilities\n  max_rv_length integer NOT NULL DEFAULT 0,       -- RVs/Trailers not permitted if length is 0\n  utilities boolean NOT NULL DEFAULT FALSE,       -- Electricity, running water available.\n  CONSTRAINT pk_site_site_number_campground_id PRIMARY KEY (site_id)\n);\n\nCREATE SEQUENCE reservation_reservation_id_seq\n  INCREMENT BY 1\n  NO MAXVALUE\n  NO MINVALUE\n  CACHE 1;\n\nCREATE TABLE reservation (\n  reservation_id integer DEFAULT nextval('reservation_reservation_id_seq'::regclass) NOT NULL,\n  site_id integer NOT NULL,\n  name varChar(80) NOT NULL,\n  from_date date NOT NULL,\n  to_date date NOT NULL,\n  create_date date NOT NULL DEFAULT now(),\n  CONSTRAINT pk_reservation_reservation_id PRIMARY KEY (reservation_id)\n);\n\n\n-- Acadia\nINSERT INTO park (name, location, establish_date, area, visitors, description)\nVALUES ('Acadia', 'Maine', '1919-02-26', 47389, 2563129, 'Covering most of Mount Desert Island and other coastal islands, Acadia features the tallest mountain on the Atlantic coast of the United States, granite peaks, ocean shoreline, woodlands, and lakes. There are freshwater, estuary, forest, and intertidal habitats.');\n\n-- Arches\nINSERT INTO park (name, location, establish_date, area, visitors, description)\nVALUES ('Arches',\t'Utah', '1929-04-12', 76518,\t1284767, 'This site features more than 2,000 natural sandstone arches, including the famous Delicate Arch. In a desert climate, millions of years of erosion have led to these structures, and the arid ground has life-sustaining soil crust and potholes, which serve as natural water-collecting basins. Other geologic formations are stone columns, spires, fins, and towers.');\n\n-- Cuyahoga\nINSERT INTO park (name, location, establish_date, area, visitors, description)\nVALUES ('Cuyahoga Valley', 'Ohio', '2000-10-11',32860,\t2189849, 'This park along the Cuyahoga River has waterfalls, hills, trails, and exhibits on early rural living. The Ohio and Erie Canal Towpath Trail follows the Ohio and Erie Canal, where mules towed canal boats. The park has numerous historic homes, bridges, and structures, and also offers a scenic train ride.');\n\n-- Acadia Campgrounds\nINSERT INTO campground (park_id, name, open_from_mm, open_to_mm, daily_fee) VALUES (1, 'Blackwoods', '01', '12', 35.00);\nINSERT INTO campground (park_id, name, open_from_mm, open_to_mm, daily_fee) VALUES (1, 'Seawall', '05', '09', 30.00);\nINSERT INTO campground (park_id, name, open_from_mm, open_to_mm, daily_fee) VALUES (1, 'Schoodic Woods', '05', '10', 30.00);\n\n-- Arches Campgrounds\nINSERT INTO campground (park_id, name, open_from_mm, open_to_mm, daily_fee) VALUES (2, 'Devil''s Garden', '01', '12', 25.00);\nINSERT INTO campground (park_id, name, open_from_mm, open_to_mm, daily_fee) VALUES (2, 'Canyon Wren Group Site', '01', '12', 160.00);\nINSERT INTO campground (park_id, name, open_from_mm, open_to_mm, daily_fee) VALUES (2, 'Juniper Group Site', '01', '12', 250.00);\n\n-- Cuyahoga Campgrounds\nINSERT INTO campground (park_id, name, open_from_mm, open_to_mm, daily_fee) VALUES (3, 'The Unnamed Primitive Campsites', '05', '11', 20.00);\n\n-- Acadia Blackwoods Sites (Tent, Camper)\nINSERT INTO site (site_number, campground_id) VALUES (1, 1); -- 1 - 10\nINSERT INTO site (site_number, campground_id) VALUES (2, 1);\nINSERT INTO site (site_number, campground_id) VALUES (3, 1);\nINSERT INTO site (site_number, campground_id) VALUES (4, 1);\nINSERT INTO site (site_number, campground_id) VALUES (5, 1);\nINSERT INTO site (site_number, campground_id) VALUES (6, 1);\nINSERT INTO site (site_number, campground_id) VALUES (7, 1);\nINSERT INTO site (site_number, campground_id) VALUES (8, 1);\nINSERT INTO site (site_number, campground_id) VALUES (9, 1);\nINSERT INTO site (site_number, campground_id) VALUES (10, 1);\nINSERT INTO site (site_number, campground_id) VALUES (11, 1); -- 11 - 20\nINSERT INTO site (site_number, campground_id) VALUES (12, 1);\nINSERT INTO site (site_number, campground_id) VALUES (13, 1);\nINSERT INTO site (site_number, campground_id) VALUES (14, 1);\nINSERT INTO site (site_number, campground_id) VALUES (15, 1);\nINSERT INTO site (site_number, campground_id) VALUES (16, 1);\nINSERT INTO site (site_number, campground_id) VALUES (17, 1);\nINSERT INTO site (site_number, campground_id) VALUES (18, 1);\nINSERT INTO site (site_number, campground_id) VALUES (19, 1);\nINSERT INTO site (site_number, campground_id) VALUES (20, 1);\nINSERT INTO site (site_number, campground_id) VALUES (21, 1); -- 21 - 30\nINSERT INTO site (site_number, campground_id) VALUES (22, 1);\nINSERT INTO site (site_number, campground_id) VALUES (23, 1);\nINSERT INTO site (site_number, campground_id) VALUES (24, 1);\nINSERT INTO site (site_number, campground_id) VALUES (25, 1);\nINSERT INTO site (site_number, campground_id) VALUES (26, 1);\nINSERT INTO site (site_number, campground_id) VALUES (27, 1);\nINSERT INTO site (site_number, campground_id) VALUES (28, 1);\nINSERT INTO site (site_number, campground_id) VALUES (29, 1);\nINSERT INTO site (site_number, campground_id) VALUES (30, 1);\nINSERT INTO site (site_number, campground_id) VALUES (31, 1); -- 31 - 40\nINSERT INTO site (site_number, campground_id) VALUES (32, 1);\nINSERT INTO site (site_number, campground_id) VALUES (33, 1);\nINSERT INTO site (site_number, campground_id) VALUES (34, 1);\nINSERT INTO site (site_number, campground_id) VALUES (35, 1);\nINSERT INTO site (site_number, campground_id) VALUES (36, 1);\nINSERT INTO site (site_number, campground_id) VALUES (37, 1);\nINSERT INTO site (site_number, campground_id) VALUES (38, 1);\nINSERT INTO site (site_number, campground_id) VALUES (39, 1);\nINSERT INTO site (site_number, campground_id) VALUES (40, 1);\nINSERT INTO site (site_number, campground_id) VALUES (41, 1); -- 41 - 50\nINSERT INTO site (site_number, campground_id) VALUES (42, 1);\nINSERT INTO site (site_number, campground_id) VALUES (43, 1);\nINSERT INTO site (site_number, campground_id) VALUES (44, 1);\nINSERT INTO site (site_number, campground_id) VALUES (45, 1);\nINSERT INTO site (site_number, campground_id) VALUES (46, 1);\nINSERT INTO site (site_number, campground_id) VALUES (47, 1);\nINSERT INTO site (site_number, campground_id) VALUES (48, 1);\nINSERT INTO site (site_number, campground_id) VALUES (49, 1);\nINSERT INTO site (site_number, campground_id) VALUES (50, 1);\nINSERT INTO site (site_number, campground_id) VALUES (51, 1); -- 51 - 60\nINSERT INTO site (site_number, campground_id) VALUES (52, 1);\nINSERT INTO site (site_number, campground_id) VALUES (53, 1);\nINSERT INTO site (site_number, campground_id) VALUES (54, 1);\nINSERT INTO site (site_number, campground_id) VALUES (55, 1);\nINSERT INTO site (site_number, campground_id) VALUES (56, 1);\nINSERT INTO site (site_number, campground_id) VALUES (57, 1);\nINSERT INTO site (site_number, campground_id) VALUES (58, 1);\nINSERT INTO site (site_number, campground_id) VALUES (59, 1);\nINSERT INTO site (site_number, campground_id) VALUES (60, 1);\nINSERT INTO site (site_number, campground_id) VALUES (61, 1); -- 61 - 70\nINSERT INTO site (site_number, campground_id) VALUES (62, 1);\nINSERT INTO site (site_number, campground_id) VALUES (63, 1);\nINSERT INTO site (site_number, campground_id) VALUES (64, 1);\nINSERT INTO site (site_number, campground_id) VALUES (65, 1);\nINSERT INTO site (site_number, campground_id) VALUES (66, 1);\nINSERT INTO site (site_number, campground_id) VALUES (67, 1);\nINSERT INTO site (site_number, campground_id) VALUES (68, 1);\nINSERT INTO site (site_number, campground_id) VALUES (69, 1);\nINSERT INTO site (site_number, campground_id) VALUES (70, 1);\nINSERT INTO site (site_number, campground_id) VALUES (71, 1); -- 71 - 80\nINSERT INTO site (site_number, campground_id) VALUES (72, 1);\nINSERT INTO site (site_number, campground_id) VALUES (73, 1);\nINSERT INTO site (site_number, campground_id) VALUES (74, 1);\nINSERT INTO site (site_number, campground_id) VALUES (75, 1);\nINSERT INTO site (site_number, campground_id) VALUES (76, 1);\nINSERT INTO site (site_number, campground_id) VALUES (77, 1);\nINSERT INTO site (site_number, campground_id) VALUES (78, 1);\nINSERT INTO site (site_number, campground_id) VALUES (79, 1);\nINSERT INTO site (site_number, campground_id) VALUES (80, 1);\nINSERT INTO site (site_number, campground_id) VALUES (81, 1); -- 81 - 90\nINSERT INTO site (site_number, campground_id) VALUES (82, 1);\nINSERT INTO site (site_number, campground_id) VALUES (83, 1);\nINSERT INTO site (site_number, campground_id) VALUES (84, 1);\nINSERT INTO site (site_number, campground_id) VALUES (85, 1);\nINSERT INTO site (site_number, campground_id) VALUES (86, 1);\nINSERT INTO site (site_number, campground_id) VALUES (87, 1);\nINSERT INTO site (site_number, campground_id) VALUES (88, 1);\nINSERT INTO site (site_number, campground_id) VALUES (89, 1);\nINSERT INTO site (site_number, campground_id) VALUES (90, 1);\nINSERT INTO site (site_number, campground_id) VALUES (91, 1); -- 91 - 100\nINSERT INTO site (site_number, campground_id) VALUES (92, 1);\nINSERT INTO site (site_number, campground_id) VALUES (93, 1);\nINSERT INTO site (site_number, campground_id) VALUES (94, 1);\nINSERT INTO site (site_number, campground_id) VALUES (95, 1);\nINSERT INTO site (site_number, campground_id) VALUES (96, 1);\nINSERT INTO site (site_number, campground_id) VALUES (97, 1);\nINSERT INTO site (site_number, campground_id) VALUES (98, 1);\nINSERT INTO site (site_number, campground_id) VALUES (99, 1);\nINSERT INTO site (site_number, campground_id) VALUES (100, 1);\nINSERT INTO site (site_number, campground_id) VALUES (101, 1); -- 101 - 110\nINSERT INTO site (site_number, campground_id) VALUES (102, 1);\nINSERT INTO site (site_number, campground_id) VALUES (103, 1);\nINSERT INTO site (site_number, campground_id) VALUES (104, 1);\nINSERT INTO site (site_number, campground_id) VALUES (105, 1);\nINSERT INTO site (site_number, campground_id) VALUES (106, 1);\nINSERT INTO site (site_number, campground_id) VALUES (107, 1);\nINSERT INTO site (site_number, campground_id) VALUES (108, 1);\nINSERT INTO site (site_number, campground_id) VALUES (109, 1);\nINSERT INTO site (site_number, campground_id) VALUES (110, 1);\nINSERT INTO site (site_number, campground_id) VALUES (111, 1); -- 111 - 120\nINSERT INTO site (site_number, campground_id) VALUES (112, 1);\nINSERT INTO site (site_number, campground_id) VALUES (113, 1);\nINSERT INTO site (site_number, campground_id) VALUES (114, 1);\nINSERT INTO site (site_number, campground_id) VALUES (115, 1);\nINSERT INTO site (site_number, campground_id) VALUES (116, 1);\nINSERT INTO site (site_number, campground_id) VALUES (117, 1);\nINSERT INTO site (site_number, campground_id) VALUES (118, 1);\nINSERT INTO site (site_number, campground_id) VALUES (119, 1);\nINSERT INTO site (site_number, campground_id) VALUES (120, 1);\nINSERT INTO site (site_number, campground_id) VALUES (121, 1); -- 121 - 130\nINSERT INTO site (site_number, campground_id) VALUES (122, 1);\nINSERT INTO site (site_number, campground_id) VALUES (123, 1);\nINSERT INTO site (site_number, campground_id) VALUES (124, 1);\nINSERT INTO site (site_number, campground_id) VALUES (125, 1);\nINSERT INTO site (site_number, campground_id) VALUES (126, 1);\nINSERT INTO site (site_number, campground_id) VALUES (127, 1);\nINSERT INTO site (site_number, campground_id) VALUES (128, 1);\nINSERT INTO site (site_number, campground_id) VALUES (129, 1);\nINSERT INTO site (site_number, campground_id) VALUES (130, 1);\nINSERT INTO site (site_number, campground_id) VALUES (131, 1); -- 131 - 140\nINSERT INTO site (site_number, campground_id) VALUES (132, 1);\nINSERT INTO site (site_number, campground_id) VALUES (133, 1);\nINSERT INTO site (site_number, campground_id) VALUES (134, 1);\nINSERT INTO site (site_number, campground_id) VALUES (135, 1);\nINSERT INTO site (site_number, campground_id) VALUES (136, 1);\nINSERT INTO site (site_number, campground_id) VALUES (137, 1);\nINSERT INTO site (site_number, campground_id) VALUES (138, 1);\nINSERT INTO site (site_number, campground_id) VALUES (139, 1);\nINSERT INTO site (site_number, campground_id) VALUES (140, 1);\nINSERT INTO site (site_number, campground_id) VALUES (141, 1); -- 141 - 150\nINSERT INTO site (site_number, campground_id) VALUES (142, 1);\nINSERT INTO site (site_number, campground_id) VALUES (143, 1);\nINSERT INTO site (site_number, campground_id) VALUES (144, 1);\nINSERT INTO site (site_number, campground_id) VALUES (145, 1);\nINSERT INTO site (site_number, campground_id) VALUES (146, 1);\nINSERT INTO site (site_number, campground_id) VALUES (147, 1);\nINSERT INTO site (site_number, campground_id) VALUES (148, 1);\nINSERT INTO site (site_number, campground_id) VALUES (149, 1);\nINSERT INTO site (site_number, campground_id) VALUES (150, 1);\nINSERT INTO site (site_number, campground_id) VALUES (151, 1); -- 151 - 160\nINSERT INTO site (site_number, campground_id) VALUES (152, 1);\nINSERT INTO site (site_number, campground_id) VALUES (153, 1);\nINSERT INTO site (site_number, campground_id) VALUES (154, 1);\nINSERT INTO site (site_number, campground_id) VALUES (155, 1);\nINSERT INTO site (site_number, campground_id) VALUES (156, 1);\nINSERT INTO site (site_number, campground_id) VALUES (157, 1);\nINSERT INTO site (site_number, campground_id) VALUES (158, 1);\nINSERT INTO site (site_number, campground_id) VALUES (159, 1);\nINSERT INTO site (site_number, campground_id) VALUES (160, 1);\nINSERT INTO site (site_number, campground_id) VALUES (161, 1); -- 161 - 170\nINSERT INTO site (site_number, campground_id) VALUES (162, 1);\nINSERT INTO site (site_number, campground_id) VALUES (163, 1);\nINSERT INTO site (site_number, campground_id) VALUES (164, 1);\nINSERT INTO site (site_number, campground_id) VALUES (165, 1);\nINSERT INTO site (site_number, campground_id) VALUES (166, 1);\nINSERT INTO site (site_number, campground_id) VALUES (167, 1);\nINSERT INTO site (site_number, campground_id) VALUES (168, 1);\nINSERT INTO site (site_number, campground_id) VALUES (169, 1);\nINSERT INTO site (site_number, campground_id) VALUES (170, 1);\nINSERT INTO site (site_number, campground_id) VALUES (171, 1); -- 171 - 180\nINSERT INTO site (site_number, campground_id) VALUES (172, 1);\nINSERT INTO site (site_number, campground_id) VALUES (173, 1);\nINSERT INTO site (site_number, campground_id) VALUES (174, 1);\nINSERT INTO site (site_number, campground_id) VALUES (175, 1);\nINSERT INTO site (site_number, campground_id) VALUES (176, 1);\nINSERT INTO site (site_number, campground_id) VALUES (177, 1);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (178, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (179, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (180, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (181, 1, TRUE); -- 181 - 190\nINSERT INTO site (site_number, campground_id, utilities) VALUES (182, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (183, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (184, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (185, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (186, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (187, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (188, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (189, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (190, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (191, 1, TRUE); -- 191 - 200\nINSERT INTO site (site_number, campground_id, utilities) VALUES (192, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (193, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (194, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (195, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (196, 1, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (197, 1, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (198, 1, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (199, 1, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (200, 1, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (201, 1, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (202, 1, TRUE); -- 201 - 210\nINSERT INTO site (site_number, campground_id, accessible) VALUES (203, 1, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (204, 1, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (205, 1, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (206, 1, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (207, 1, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (208, 1, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (209, 1, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (210, 1, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (211, 1, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (212, 1, TRUE, TRUE); -- 211 - 214\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (213, 1, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (214, 1, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (215, 1, TRUE, TRUE);\n\n-- Acadia Blackwoods Sites (RV/Trainler 20ft)\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (216, 1, 20); -- 1 - 10\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (217, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (218, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (219, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (220, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (221, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (222, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (223, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (224, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (225, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (226, 1, 20); -- 11 - 20\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (227, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (228, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (229, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (230, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (231, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (232, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (233, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (234, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (235, 1, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (236, 1, 20, TRUE); -- 21 - 30\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (237, 1, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (238, 1, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (239, 1, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (240, 1, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (241, 1, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (242, 1, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (243, 1, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (244, 1, 20, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (245, 1, 20, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (246, 1, 20, TRUE, TRUE); -- 31\n\n-- Acadia Blackwoods Sites (RV/Trainler 35ft)\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (247, 1, 35); -- 1 - 10\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (248, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (249, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (250, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (251, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (252, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (253, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (254, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (255, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (256, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (257, 1, 35); -- 11 - 20\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (258, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (259, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (260, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (270, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (271, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (272, 1, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (273, 1, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (274, 1, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (275, 1, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (276, 1, 35, TRUE); -- 21 - 30\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (277, 1, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (278, 1, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (279, 1, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (280, 1, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (281, 1, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (282, 1, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (283, 1, 35, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (284, 1, 35, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (285, 1, 35, TRUE, TRUE);\n\n-- Acadia Seawall Sites (Tent)\nINSERT INTO site (site_number, campground_id) VALUES (1, 2); -- 1 - 10\nINSERT INTO site (site_number, campground_id) VALUES (2, 2);\nINSERT INTO site (site_number, campground_id) VALUES (3, 2);\nINSERT INTO site (site_number, campground_id) VALUES (4, 2);\nINSERT INTO site (site_number, campground_id) VALUES (5, 2);\nINSERT INTO site (site_number, campground_id) VALUES (6, 2);\nINSERT INTO site (site_number, campground_id) VALUES (7, 2);\nINSERT INTO site (site_number, campground_id) VALUES (8, 2);\nINSERT INTO site (site_number, campground_id) VALUES (9, 2);\nINSERT INTO site (site_number, campground_id) VALUES (10, 2);\nINSERT INTO site (site_number, campground_id) VALUES (11, 2); -- 11 - 20\nINSERT INTO site (site_number, campground_id) VALUES (12, 2);\nINSERT INTO site (site_number, campground_id) VALUES (13, 2);\nINSERT INTO site (site_number, campground_id) VALUES (14, 2);\nINSERT INTO site (site_number, campground_id) VALUES (15, 2);\nINSERT INTO site (site_number, campground_id) VALUES (16, 2);\nINSERT INTO site (site_number, campground_id) VALUES (17, 2);\nINSERT INTO site (site_number, campground_id) VALUES (18, 2);\nINSERT INTO site (site_number, campground_id) VALUES (19, 2);\nINSERT INTO site (site_number, campground_id) VALUES (20, 2);\nINSERT INTO site (site_number, campground_id) VALUES (21, 2); -- 21 - 30\nINSERT INTO site (site_number, campground_id) VALUES (22, 2);\nINSERT INTO site (site_number, campground_id) VALUES (23, 2);\nINSERT INTO site (site_number, campground_id) VALUES (24, 2);\nINSERT INTO site (site_number, campground_id) VALUES (25, 2);\nINSERT INTO site (site_number, campground_id) VALUES (26, 2);\nINSERT INTO site (site_number, campground_id) VALUES (27, 2);\nINSERT INTO site (site_number, campground_id) VALUES (28, 2);\nINSERT INTO site (site_number, campground_id) VALUES (29, 2);\nINSERT INTO site (site_number, campground_id) VALUES (30, 2);\nINSERT INTO site (site_number, campground_id) VALUES (31, 2); -- 31 - 40\nINSERT INTO site (site_number, campground_id) VALUES (32, 2);\nINSERT INTO site (site_number, campground_id) VALUES (33, 2);\nINSERT INTO site (site_number, campground_id) VALUES (34, 2);\nINSERT INTO site (site_number, campground_id) VALUES (35, 2);\nINSERT INTO site (site_number, campground_id) VALUES (36, 2);\nINSERT INTO site (site_number, campground_id) VALUES (37, 2);\nINSERT INTO site (site_number, campground_id) VALUES (38, 2);\nINSERT INTO site (site_number, campground_id) VALUES (39, 2);\nINSERT INTO site (site_number, campground_id) VALUES (40, 2);\nINSERT INTO site (site_number, campground_id) VALUES (41, 2); -- 41 - 50\nINSERT INTO site (site_number, campground_id) VALUES (42, 2);\nINSERT INTO site (site_number, campground_id) VALUES (43, 2);\nINSERT INTO site (site_number, campground_id) VALUES (44, 2);\nINSERT INTO site (site_number, campground_id) VALUES (45, 2);\nINSERT INTO site (site_number, campground_id) VALUES (46, 2);\nINSERT INTO site (site_number, campground_id) VALUES (47, 2);\nINSERT INTO site (site_number, campground_id) VALUES (48, 2);\nINSERT INTO site (site_number, campground_id) VALUES (49, 2);\nINSERT INTO site (site_number, campground_id) VALUES (50, 2);\nINSERT INTO site (site_number, campground_id) VALUES (51, 2); -- 51 - 60\nINSERT INTO site (site_number, campground_id) VALUES (52, 2);\nINSERT INTO site (site_number, campground_id) VALUES (53, 2);\nINSERT INTO site (site_number, campground_id) VALUES (54, 2);\nINSERT INTO site (site_number, campground_id) VALUES (55, 2);\nINSERT INTO site (site_number, campground_id) VALUES (56, 2);\nINSERT INTO site (site_number, campground_id) VALUES (57, 2);\nINSERT INTO site (site_number, campground_id) VALUES (58, 2);\nINSERT INTO site (site_number, campground_id) VALUES (59, 2);\nINSERT INTO site (site_number, campground_id) VALUES (60, 2);\nINSERT INTO site (site_number, campground_id) VALUES (61, 2); -- 61 - 70\nINSERT INTO site (site_number, campground_id) VALUES (62, 2);\nINSERT INTO site (site_number, campground_id) VALUES (63, 2);\nINSERT INTO site (site_number, campground_id) VALUES (64, 2);\nINSERT INTO site (site_number, campground_id) VALUES (65, 2);\nINSERT INTO site (site_number, campground_id) VALUES (66, 2);\nINSERT INTO site (site_number, campground_id) VALUES (67, 2);\nINSERT INTO site (site_number, campground_id) VALUES (68, 2);\nINSERT INTO site (site_number, campground_id) VALUES (69, 2);\nINSERT INTO site (site_number, campground_id) VALUES (70, 2);\nINSERT INTO site (site_number, campground_id) VALUES (71, 2); -- 71 - 80\nINSERT INTO site (site_number, campground_id) VALUES (72, 2);\nINSERT INTO site (site_number, campground_id) VALUES (73, 2);\nINSERT INTO site (site_number, campground_id) VALUES (74, 2);\nINSERT INTO site (site_number, campground_id) VALUES (75, 2);\nINSERT INTO site (site_number, campground_id) VALUES (76, 2);\nINSERT INTO site (site_number, campground_id) VALUES (77, 2);\nINSERT INTO site (site_number, campground_id) VALUES (78, 2);\nINSERT INTO site (site_number, campground_id) VALUES (79, 2);\nINSERT INTO site (site_number, campground_id) VALUES (80, 2);\nINSERT INTO site (site_number, campground_id) VALUES (81, 2); -- 81 - 90\nINSERT INTO site (site_number, campground_id) VALUES (82, 2);\nINSERT INTO site (site_number, campground_id) VALUES (83, 2);\nINSERT INTO site (site_number, campground_id) VALUES (84, 2);\nINSERT INTO site (site_number, campground_id) VALUES (85, 2);\nINSERT INTO site (site_number, campground_id) VALUES (86, 2);\nINSERT INTO site (site_number, campground_id) VALUES (87, 2);\nINSERT INTO site (site_number, campground_id) VALUES (88, 2);\nINSERT INTO site (site_number, campground_id) VALUES (89, 2);\nINSERT INTO site (site_number, campground_id) VALUES (90, 2);\nINSERT INTO site (site_number, campground_id) VALUES (91, 2); -- 91 - 100\nINSERT INTO site (site_number, campground_id) VALUES (92, 2);\nINSERT INTO site (site_number, campground_id) VALUES (93, 2);\nINSERT INTO site (site_number, campground_id) VALUES (94, 2);\nINSERT INTO site (site_number, campground_id) VALUES (95, 2);\nINSERT INTO site (site_number, campground_id) VALUES (96, 2);\nINSERT INTO site (site_number, campground_id) VALUES (97, 2);\nINSERT INTO site (site_number, campground_id) VALUES (98, 2);\nINSERT INTO site (site_number, campground_id) VALUES (99, 2);\nINSERT INTO site (site_number, campground_id) VALUES (100, 2);\nINSERT INTO site (site_number, campground_id) VALUES (101, 2); -- 101 - 110\nINSERT INTO site (site_number, campground_id) VALUES (102, 2);\nINSERT INTO site (site_number, campground_id) VALUES (103, 2);\nINSERT INTO site (site_number, campground_id) VALUES (104, 2);\nINSERT INTO site (site_number, campground_id) VALUES (105, 2);\nINSERT INTO site (site_number, campground_id) VALUES (106, 2);\nINSERT INTO site (site_number, campground_id) VALUES (107, 2);\nINSERT INTO site (site_number, campground_id) VALUES (108, 2);\nINSERT INTO site (site_number, campground_id) VALUES (109, 2);\nINSERT INTO site (site_number, campground_id) VALUES (110, 2);\nINSERT INTO site (site_number, campground_id) VALUES (111, 2); -- 111 - 120\nINSERT INTO site (site_number, campground_id) VALUES (112, 2);\nINSERT INTO site (site_number, campground_id) VALUES (113, 2);\nINSERT INTO site (site_number, campground_id) VALUES (114, 2);\nINSERT INTO site (site_number, campground_id) VALUES (115, 2);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (116, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (117, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (118, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (119, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (120, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (121, 2, TRUE); -- 121 - 130\nINSERT INTO site (site_number, campground_id, utilities) VALUES (122, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (123, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (124, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (125, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (126, 2, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (127, 2, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (128, 2, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (129, 2, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (130, 2, TRUE);\nINSERT INTO site (site_number, campground_id, accessible) VALUES (131, 2, TRUE); -- 131 - 138\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (132, 2, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (133, 2, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (134, 2, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (135, 2, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (136, 2, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (137, 2, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (138, 2, TRUE, TRUE);\n\n-- Acadia Seawall Sites (RV/Trailer 20ft)\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (139, 2, 20); -- 1 - 10\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (140, 2, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (141, 2, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (142, 2, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (143, 2, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (144, 2, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (145, 2, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (146, 2, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (147, 2, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (148, 2, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (149, 2, 20, TRUE); -- 11 - 20\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (150, 2, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (151, 2, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (152, 2, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (153, 2, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (154, 2, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (155, 2, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (156, 2, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (157, 2, 20, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (158, 2, 20, TRUE, TRUE);\n\n-- Acadia Seawall Sites (RV/Trailer 35ft)\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (159, 2, 35); -- 1 - 10\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (160, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (161, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (162, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (163, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (164, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (165, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (166, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (167, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (168, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (169, 2, 35); -- 11 - 20\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (170, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (171, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (172, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (173, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (174, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (175, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (176, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (177, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (178, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (179, 2, 35); -- 21 - 30\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (180, 2, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (181, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (182, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (183, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (184, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (185, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (186, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (187, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (188, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (189, 2, 35, TRUE); -- 31 - 40\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (190, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (191, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (192, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (193, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (194, 2, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (195, 2, 35, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (196, 2, 35, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (197, 2, 35, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (198, 2, 35, TRUE, TRUE);\n\n-- Acadia Schoodic Sites (Tent and Camper)\nINSERT INTO site (site_number, campground_id) VALUES (1, 3); -- 1 - 10\nINSERT INTO site (site_number, campground_id) VALUES (2, 3);\nINSERT INTO site (site_number, campground_id) VALUES (3, 3);\nINSERT INTO site (site_number, campground_id) VALUES (4, 3);\nINSERT INTO site (site_number, campground_id) VALUES (5, 3);\nINSERT INTO site (site_number, campground_id) VALUES (6, 3);\nINSERT INTO site (site_number, campground_id) VALUES (7, 3);\nINSERT INTO site (site_number, campground_id) VALUES (8, 3);\nINSERT INTO site (site_number, campground_id) VALUES (9, 3);\nINSERT INTO site (site_number, campground_id) VALUES (10, 3);\nINSERT INTO site (site_number, campground_id) VALUES (11, 3); -- 11 - 20\nINSERT INTO site (site_number, campground_id) VALUES (12, 3);\nINSERT INTO site (site_number, campground_id) VALUES (13, 3);\nINSERT INTO site (site_number, campground_id) VALUES (14, 3);\nINSERT INTO site (site_number, campground_id) VALUES (15, 3);\nINSERT INTO site (site_number, campground_id) VALUES (16, 3);\nINSERT INTO site (site_number, campground_id) VALUES (17, 3);\nINSERT INTO site (site_number, campground_id) VALUES (18, 3);\nINSERT INTO site (site_number, campground_id) VALUES (19, 3);\nINSERT INTO site (site_number, campground_id) VALUES (20, 3);\nINSERT INTO site (site_number, campground_id) VALUES (21, 3); -- 21 - 30\nINSERT INTO site (site_number, campground_id) VALUES (22, 3);\nINSERT INTO site (site_number, campground_id) VALUES (23, 3);\nINSERT INTO site (site_number, campground_id) VALUES (24, 3);\nINSERT INTO site (site_number, campground_id) VALUES (25, 3);\nINSERT INTO site (site_number, campground_id) VALUES (26, 3);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (27, 3, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (28, 3, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (29, 3, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (30, 3, TRUE);\nINSERT INTO site (site_number, campground_id, utilities) VALUES (31, 3, TRUE); -- 31 - 35\nINSERT INTO site (site_number, campground_id, utilities) VALUES (32, 3, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (33, 3, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (34, 3, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, accessible, utilities) VALUES (35, 3, TRUE, TRUE);\n\n-- Acadia Schoodic Sites (RV/Trailer 20ft)\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (36, 3, 20); -- 1 - 10\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (37, 3, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (38, 3, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (39, 3, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (40, 3, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (41, 3, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (42, 3, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (43, 3, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (44, 3, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (45, 3, 20);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (46, 3, 20); -- 11 - 20\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (47, 3, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (48, 3, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (49, 3, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (50, 3, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (51, 3, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (52, 3, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (53, 3, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (54, 3, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (55, 3, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (56, 3, 20, TRUE, TRUE); -- 21 - 22\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (57, 3, 20, TRUE, TRUE);\n\n-- Acadia Schoodic Sites (RV/Trailer 35ft)\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (58, 3, 35); -- 1 - 10\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (59, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (60, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (61, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (62, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (63, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (64, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (65, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (66, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (67, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (68, 3, 35); -- 11 - 20\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (69, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (70, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (71, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (72, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (73, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (74, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (75, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (76, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (77, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (78, 3, 35); -- 21 - 30\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (79, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (80, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (81, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length) VALUES (82, 3, 35);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (83, 3, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (84, 3, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (85, 3, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (86, 3, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (87, 3, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, utilities) VALUES (88, 3, 35, TRUE); -- 31 - 35\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible) VALUES (89, 3, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible) VALUES (90, 3, 35, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (91, 3, 35, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_rv_length, accessible, utilities) VALUES (92, 3, 35, TRUE, TRUE);\n\n-- Arches Devil's Garden Sites (Tent)\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (1, 4, 10); -- 1 - 10\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (2, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (3, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (4, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (5, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (6, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (7, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (8, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (9, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (10, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (11, 4, 10); -- 11 - 20\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (12, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (13, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (14, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (15, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (16, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (17, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (18, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (19, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (20, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (21, 4, 10); -- 21 - 30\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (22, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (23, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (24, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (25, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (26, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (27, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy) VALUES (28, 4, 10);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (29, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (30, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (31, 4, 10, TRUE); -- 31 - 40\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (32, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (33, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (34, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (35, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (36, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (37, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (38, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (39, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (40, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (41, 4, 10, TRUE); -- 41 - 47\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (42, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, utilities) VALUES (43, 4, 10, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, accessible, utilities) VALUES (44, 4, 10, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, accessible, utilities) VALUES (45, 4, 10, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, accessible, utilities) VALUES (46, 4, 10, TRUE, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, accessible, utilities) VALUES (47, 4, 10, TRUE, TRUE);\n\n-- Arches Devil's Garden Sites (RV/Trailer 20ft)\nINSERT INTO site (site_number, campground_id, max_occupancy, max_rv_length, utilities) VALUES (48, 4, 7, 20, TRUE);\nINSERT INTO site (site_number, campground_id, max_occupancy, max_rv_length, utilities) VALUES (49, 4, 7, 20, TRUE);\n\n -- Arches Canyon Wren Group Site (Tent)\nINSERT INTO site (site_number, campground_id, max_occupancy, accessible) VALUES (1, 5, 35, TRUE);\n\n-- Arches Juniper Group Site (Tent)\nINSERT INTO site (site_number, campground_id, max_occupancy, accessible) VALUES (1, 6, 55, TRUE);\n\n-- Cuyahoga Unnamed Primitive Campsites Sites (Tent)\nINSERT INTO site (site_number, campground_id) VALUES (1, 7); -- 1 - 5\nINSERT INTO site (site_number, campground_id) VALUES (2, 7);\nINSERT INTO site (site_number, campground_id) VALUES (3, 7);\nINSERT INTO site (site_number, campground_id) VALUES (4, 7);\nINSERT INTO site (site_number, campground_id) VALUES (5, 7);\n\n-- Reservations\n-- Acadia Blackwoods Sites (1 - 12)\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (1, 'Smith Family Reservation', NOW() - INTERVAL '2 days', NOW() + INTERVAL '2 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (1, 'Lockhart Family Reservation', NOW() - INTERVAL '6 days', NOW() - INTERVAL '3 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (2, 'Jones Reservation', NOW() - INTERVAL '2 days', NOW() + INTERVAL '2 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (3, 'Bauer Family Reservation', NOW(), NOW() + INTERVAL '2 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (4, 'Eagles Family Reservation', NOW() + INTERVAL '5 days', NOW() + INTERVAL '10 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (7, 'Aersomith eservation', NOW() - INTERVAL '3 days', NOW() + INTERVAL '2 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (9, 'Claus Family Reservation', NOW(), NOW() + INTERVAL '1 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (9, 'Taylor Family Reservation', NOW() - INTERVAL '7 days', NOW() - INTERVAL '5 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (10, 'Astley Family Reservation', NOW() + INTERVAL '14 days', NOW() + INTERVAL '21 days');\n\n-- Acadia Seawall Sites (13 - 24)\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (13, 'Jobs Family Reservation', NOW() + INTERVAL '1 days', NOW() + INTERVAL '4 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (14, 'Cook Family Reservation', NOW() + INTERVAL '1 days', NOW() + INTERVAL '4 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (15, 'Gates Reservation', NOW() + INTERVAL '1 days', NOW() + INTERVAL '4 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (16, 'Cue Family Reservation', NOW() + INTERVAL '1 days', NOW() + INTERVAL '4 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (17, 'Ive Family Reservation', NOW() + INTERVAL '1 days', NOW() + INTERVAL '4 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (18, 'Federighi Family Reservation', NOW() + INTERVAL '1 days', NOW() + INTERVAL '4 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (19, 'Schiller Family Reservation', NOW() + INTERVAL '1 days', NOW() + INTERVAL '4 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (20, 'Williams Family Reservation', NOW() + INTERVAL '1 days', NOW() + INTERVAL '4 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (20, 'Kawasaki Family Reservation', NOW() + INTERVAL '10 days', NOW() + INTERVAL '21 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (20, 'Branson Family Reservation', NOW() + INTERVAL '22 days', NOW() + INTERVAL '28 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (20, 'Zukerberg Family Reservation', NOW() + INTERVAL '30 days', NOW() + INTERVAL '33 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (24, 'Musk Family Reservation', NOW() + INTERVAL '4 days', NOW() + INTERVAL '10 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (24, 'Buffett Family Reservation', NOW() - INTERVAL '4 days', NOW());\n\n-- Acadia Schoodic Woods Sites (25 - 36)\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (25, 'Satya Nedella', NOW() + INTERVAL '3 days', NOW() + INTERVAL '10 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (25, 'Scott Gutherie', NOW() + INTERVAL '10 days', NOW() + INTERVAL '14 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (28, 'Amy Hood', NOW() + INTERVAL '5 days', NOW() + INTERVAL '11 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (29, 'Peggy Johnson', NOW() + INTERVAL '5 days', NOW() + INTERVAL '11 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (31, 'Terry Myerson', NOW() + INTERVAL '9 days', NOW() + INTERVAL '11 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (32, 'Steve Ballmer', NOW() + INTERVAL '13 days', NOW() + INTERVAL '15 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (32, 'Gates Family Reservation', NOW() + INTERVAL '16 days', NOW() + INTERVAL '19 days');\n\n-- Devil's Garden (37 - 44)\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (37, 'Marisa Mayer', NOW() - INTERVAL '15 days', NOW() - INTERVAL '10 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (37, 'Beth Mooney', NOW(), NOW() + INTERVAL '4 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (40, 'William Priemer', NOW() + INTERVAL '2 days', NOW() + INTERVAL '6 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (42, 'Tricia Griffith', NOW() + INTERVAL '3 days', NOW() + INTERVAL '8 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (43, 'Toby Cosgrove', NOW() + INTERVAL '5 days', NOW() + INTERVAL '11 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (43, 'Akram Boutros', NOW() + INTERVAL '12 days', NOW() + INTERVAL '18 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (44, 'Barbara Snyder', NOW() + INTERVAL '9 days', NOW() + INTERVAL '11 days');\n\n-- Canyon Wren (45)\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (45, 'Bill Board', NOW() - INTERVAL '9 days', NOW() + INTERVAL '1 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (45, 'Bill Loney', NOW() + INTERVAL '1 days', NOW() + INTERVAL '11 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (45, 'Cara Van', NOW() + INTERVAL '17 days', NOW() + INTERVAL '21 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (45, 'Forrest Gump', NOW() + INTERVAL '31 days', NOW() + INTERVAL '37 days');\n\n-- Juniper Group Site (46)\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (46, 'Simpson Family', NOW() - INTERVAL '6 days', NOW() + INTERVAL '1 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (46, 'Smith Family', NOW() + INTERVAL '2 days', NOW() + INTERVAL '11 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (46, 'Leela Family', NOW() + INTERVAL '14 days', NOW() + INTERVAL '15 days');\nINSERT INTO reservation (site_id, name, from_date, to_date) VALUES (46, 'Scott Family', NOW() + INTERVAL '35 days', NOW() + INTERVAL '40 days');\n\nALTER TABLE campground ADD FOREIGN KEY (park_id) REFERENCES park(park_id);\nALTER TABLE site ADD FOREIGN KEY (campground_id) REFERENCES campground(campground_id);\nALTER TABLE reservation ADD FOREIGN KEY (site_id) REFERENCES site(site_id);\n"}