{ "pack": "ecommerce-gmv-evalpack", "misata_version": "0.8.7.1", "seed": 42, "spec_sha256": "d17e732baba1203827aa6a9552f6edae563e70461249686d9bcdf5c572f6728f", "generated_at": "2026-07-16T15:06:03.103863+00:00", "verifier": { "engine": "duckdb", "version": "1.4.2" }, "sql_dialect": "duckdb", "answer_comparison": "numeric at round_decimals (never string equality); strings compared exactly", "fk_integrity": [ { "relationship": "orders.customer_id -> customers.customer_id", "orphans": 0, "verified": true } ], "conformance_warnings": [], "questions": [ { "id": "q001", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-02-01 00:00:00'", "expected": 400000.0, "observed": 400000.0, "match": true }, { "id": "q002", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-02-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-03-01 00:00:00'", "expected": 425000.0, "observed": 425000.0, "match": true }, { "id": "q003", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-03-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-04-01 00:00:00'", "expected": 450000.0, "observed": 450000.0, "match": true }, { "id": "q004", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-04-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-05-01 00:00:00'", "expected": 475000.0, "observed": 475000.0, "match": true }, { "id": "q005", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-05-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-06-01 00:00:00'", "expected": 500000.0, "observed": 500000.0, "match": true }, { "id": "q006", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-06-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 525000.0, "observed": 525000.0, "match": true }, { "id": "q007", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 2775000.0, "observed": 2775000.0, "match": true }, { "id": "q008", "gold_sql": "SELECT COUNT(*) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-02-01 00:00:00'", "expected": 1730, "observed": 1730, "match": true }, { "id": "q009", "gold_sql": "SELECT COUNT(*) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-02-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-03-01 00:00:00'", "expected": 1838, "observed": 1838, "match": true }, { "id": "q010", "gold_sql": "SELECT COUNT(*) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-03-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-04-01 00:00:00'", "expected": 1946, "observed": 1946, "match": true }, { "id": "q011", "gold_sql": "SELECT COUNT(*) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-04-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-05-01 00:00:00'", "expected": 2054, "observed": 2054, "match": true }, { "id": "q012", "gold_sql": "SELECT COUNT(*) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-05-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-06-01 00:00:00'", "expected": 2162, "observed": 2162, "match": true }, { "id": "q013", "gold_sql": "SELECT COUNT(*) FROM \"orders\" WHERE \"order_date\" >= TIMESTAMP '2025-06-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 2270, "observed": 2270, "match": true }, { "id": "q014", "gold_sql": "SELECT strftime(date_trunc('month', \"order_date\"), '%Y-%m') AS period FROM \"orders\" GROUP BY 1 ORDER BY SUM(\"gmv\") DESC, 1 ASC LIMIT 1", "expected": "2025-06", "observed": "2025-06", "match": true }, { "id": "q015", "gold_sql": "SELECT COUNT(*) FROM \"orders\" c LEFT JOIN \"customers\" p ON c.\"customer_id\" = p.\"customer_id\" WHERE p.\"customer_id\" IS NULL AND c.\"customer_id\" IS NOT NULL", "expected": 0, "observed": 0, "match": true }, { "id": "q016", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Electronics' AND \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-02-01 00:00:00'", "expected": 160000.0, "observed": 160000.0, "match": true }, { "id": "q017", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Home' AND \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-02-01 00:00:00'", "expected": 100000.0, "observed": 100000.0, "match": true }, { "id": "q018", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Toys' AND \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-02-01 00:00:00'", "expected": 80000.0, "observed": 80000.0, "match": true }, { "id": "q019", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Grocery' AND \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-02-01 00:00:00'", "expected": 60000.0, "observed": 60000.0, "match": true }, { "id": "q020", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Electronics' AND \"order_date\" >= TIMESTAMP '2025-02-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-03-01 00:00:00'", "expected": 170000.0, "observed": 170000.0, "match": true }, { "id": "q021", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Home' AND \"order_date\" >= TIMESTAMP '2025-02-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-03-01 00:00:00'", "expected": 106250.0, "observed": 106250.0, "match": true }, { "id": "q022", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Toys' AND \"order_date\" >= TIMESTAMP '2025-02-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-03-01 00:00:00'", "expected": 85000.0, "observed": 85000.0, "match": true }, { "id": "q023", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Grocery' AND \"order_date\" >= TIMESTAMP '2025-02-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-03-01 00:00:00'", "expected": 63750.0, "observed": 63750.0, "match": true }, { "id": "q024", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Electronics' AND \"order_date\" >= TIMESTAMP '2025-03-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-04-01 00:00:00'", "expected": 180000.0, "observed": 180000.0, "match": true }, { "id": "q025", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Home' AND \"order_date\" >= TIMESTAMP '2025-03-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-04-01 00:00:00'", "expected": 112500.0, "observed": 112500.0, "match": true }, { "id": "q026", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Toys' AND \"order_date\" >= TIMESTAMP '2025-03-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-04-01 00:00:00'", "expected": 90000.0, "observed": 90000.0, "match": true }, { "id": "q027", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Grocery' AND \"order_date\" >= TIMESTAMP '2025-03-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-04-01 00:00:00'", "expected": 67500.0, "observed": 67500.0, "match": true }, { "id": "q028", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Electronics' AND \"order_date\" >= TIMESTAMP '2025-04-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-05-01 00:00:00'", "expected": 190000.0, "observed": 190000.0, "match": true }, { "id": "q029", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Home' AND \"order_date\" >= TIMESTAMP '2025-04-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-05-01 00:00:00'", "expected": 118750.0, "observed": 118750.0, "match": true }, { "id": "q030", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Toys' AND \"order_date\" >= TIMESTAMP '2025-04-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-05-01 00:00:00'", "expected": 95000.0, "observed": 95000.0, "match": true }, { "id": "q031", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Grocery' AND \"order_date\" >= TIMESTAMP '2025-04-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-05-01 00:00:00'", "expected": 71250.0, "observed": 71250.0, "match": true }, { "id": "q032", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Electronics' AND \"order_date\" >= TIMESTAMP '2025-05-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-06-01 00:00:00'", "expected": 200000.0, "observed": 200000.0, "match": true }, { "id": "q033", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Home' AND \"order_date\" >= TIMESTAMP '2025-05-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-06-01 00:00:00'", "expected": 125000.0, "observed": 125000.0, "match": true }, { "id": "q034", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Toys' AND \"order_date\" >= TIMESTAMP '2025-05-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-06-01 00:00:00'", "expected": 100000.0, "observed": 100000.0, "match": true }, { "id": "q035", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Grocery' AND \"order_date\" >= TIMESTAMP '2025-05-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-06-01 00:00:00'", "expected": 75000.0, "observed": 75000.0, "match": true }, { "id": "q036", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Electronics' AND \"order_date\" >= TIMESTAMP '2025-06-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 210000.0, "observed": 210000.0, "match": true }, { "id": "q037", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Home' AND \"order_date\" >= TIMESTAMP '2025-06-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 131250.0, "observed": 131250.0, "match": true }, { "id": "q038", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Toys' AND \"order_date\" >= TIMESTAMP '2025-06-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 105000.0, "observed": 105000.0, "match": true }, { "id": "q039", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Grocery' AND \"order_date\" >= TIMESTAMP '2025-06-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 78750.0, "observed": 78750.0, "match": true }, { "id": "q040", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Electronics' AND \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 1110000.0, "observed": 1110000.0, "match": true }, { "id": "q041", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Home' AND \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 693750.0, "observed": 693750.0, "match": true }, { "id": "q042", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Toys' AND \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 555000.0, "observed": 555000.0, "match": true }, { "id": "q043", "gold_sql": "SELECT ROUND(SUM(\"gmv\"), 2) FROM \"orders\" WHERE \"category\" = 'Grocery' AND \"order_date\" >= TIMESTAMP '2025-01-01 00:00:00' AND \"order_date\" < TIMESTAMP '2025-07-01 00:00:00'", "expected": 416250.0, "observed": 416250.0, "match": true } ], "all_match": true }