Datasets:
Download tasks/offline-compute/HiveSQL/hivesql_005/init/init_db.py from dicemy/DataClawEval: direct link, hf CLI and curl.
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- Download file 1.79 kB
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https://huggingface.co/datasets/dicemy/DataClawEval/resolve/main/tasks/offline-compute/HiveSQL/hivesql_005/init/init_db.py
- Command line
-
hf download hf://datasets/dicemy/DataClawEval/tasks/offline-compute/HiveSQL/hivesql_005/init/init_db.py
-
curl -L -o init_db.py https://huggingface.co/datasets/dicemy/DataClawEval/resolve/main/tasks/offline-compute/HiveSQL/hivesql_005/init/init_db.py
1.79 kB
| #!/usr/bin/env python3 | |
| import re | |
| from pyspark.sql import SparkSession | |
| spark = SparkSession.builder \ | |
| .appName('hivesql_bench_init') \ | |
| .enableHiveSupport() \ | |
| .config('spark.sql.warehouse.dir', '/tmp/hive_warehouse') \ | |
| .getOrCreate() | |
| spark.sql('CREATE DATABASE IF NOT EXISTS internal_platform_db') | |
| def _execute_sql_file(spark, sql_path): | |
| """Read SQL file, remove SuperSQL SET headers, split by semicolons, execute.""" | |
| with open(sql_path, 'r', encoding='utf-8') as f: | |
| content = f.read() | |
| content = re.sub(r'^\s*set\s+query_engine\.\S+\n?', '', content, flags=re.IGNORECASE) | |
| stmts, cur, in_sq, in_dq, i = [], [], False, False, 0 | |
| while i < len(content): | |
| ch = content[i] | |
| if ch == '\\' and i + 1 < len(content): | |
| cur.append(ch); cur.append(content[i + 1]); i += 2; continue | |
| if ch == '-' and i + 1 < len(content) and content[i + 1] == '-' and not in_sq and not in_dq: | |
| while i < len(content) and content[i] != '\n': | |
| i += 1 | |
| cur.append('\n'); continue | |
| if ch == "'" and not in_dq: | |
| in_sq = not in_sq | |
| elif ch == '"' and not in_sq: | |
| in_dq = not in_dq | |
| if ch == ';' and not in_sq and not in_dq: | |
| s = ''.join(cur).strip() | |
| if s: | |
| stmts.append(s) | |
| cur = [] | |
| else: | |
| cur.append(ch) | |
| i += 1 | |
| last = ''.join(cur).strip() | |
| if last: | |
| stmts.append(last) | |
| for stmt in stmts: | |
| spark.sql(stmt) | |
| _execute_sql_file(spark, '/tmp_workspace/init_db.sql') | |
| tables = spark.sql('SHOW TABLES IN internal_platform_db').collect() | |
| print(f'Init complete, {len(tables)} tables created') | |
| for t in tables: | |
| print(f' - {t.namespace}.{t.tableName}') | |
| spark.stop() | |