Datasets:
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e8c001c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | #!/usr/bin/env python3
"""pyspark_014 database initialization: create tables + load seed data"""
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.appName('dataclaw_eval_init_pyspark_014') \
.enableHiveSupport() \
.config('spark.sql.warehouse.dir', '/tmp/hive_warehouse') \
.getOrCreate()
spark.sql('CREATE DATABASE IF NOT EXISTS internal_platform_db')
# Create input table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.exp_hours_input_pyspark_102 (
`fdate` STRING,
`exp_group_id` STRING,
`trigger_list` STRING
) PARTITIONED BY (`p_hour` STRING)
STORED AS ORC
''')
# Load seed data
spark.sql('''
INSERT INTO TABLE internal_platform_db.exp_hours_input_pyspark_102 PARTITION (p_hour="p_2026051300")
VALUES
("2026051300", "exp_001", "trigger_a,trigger_b"),
("2026051300", "exp_002", "trigger_c")
''')
spark.sql('''
INSERT INTO TABLE internal_platform_db.exp_hours_input_pyspark_102 PARTITION (p_hour="p_2026051223")
VALUES
("2026051223", "exp_001", "trigger_d"),
("2026051223", "exp_002", "trigger_e"),
("2026051223", "exp_003", "trigger_f")
''')
spark.sql('''
INSERT INTO TABLE internal_platform_db.exp_hours_input_pyspark_102 PARTITION (p_hour="p_2026051222")
VALUES
("2026051222", "exp_003", "trigger_g")
''')
print('Database initialization complete')
spark.stop()
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