Datasets:
File size: 3,250 Bytes
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 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | #!/usr/bin/env python3
"""pyspark_013 database initialization: create tables + load seed data"""
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.appName('dataclaw_eval_init_pyspark_013') \
.enableHiveSupport() \
.config('spark.sql.warehouse.dir', '/tmp/hive_warehouse') \
.getOrCreate()
spark.sql('CREATE DATABASE IF NOT EXISTS internal_platform_db')
# Create input table 1: URL safety relation
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.t_dwd_urlsafe_rela_guid_url_di_pyspark_101 (
`guid` STRING,
`url` STRING,
`cgi` STRING,
`site` STRING,
`domain` STRING,
`urltype` INT,
`evilclass` INT,
`eviltype` INT,
`evillevel` INT,
`multi_tag_id` STRING,
`class_id` INT,
`scence_id` INT,
`type_id` INT,
`first_query_time` STRING,
`last_query_time` STRING,
`query_times_day` INT,
`query_times_h0003` INT,
`query_times_h0306` INT,
`query_times_h0609` INT,
`query_times_h0912` INT,
`query_times_h1215` INT,
`query_times_h1518` INT,
`query_times_h1821` INT,
`query_times_h2124` INT,
`send_times_day` INT,
`click_times_day` INT,
`guid_end` STRING
) PARTITIONED BY (`ds` BIGINT)
STORED AS ORC
''')
spark.sql('''
INSERT INTO TABLE internal_platform_db.t_dwd_urlsafe_rela_guid_url_di_pyspark_101 PARTITION (ds=20260513)
VALUES
('guid_001','http://m1.bankx.com.cn/page1','http://m1.bankx.com.cn/BankX_MBSERVER/NEW/APP/MOBILE-BANK-H5/LOANS/WXMAIN/LOAN-REPAY-PLAN','m1.bankx.com.cn','bankx.com.cn',1,0,0,0,NULL,0,0,0,'2026-05-13','2026-05-13',1,0,0,0,0,0,0,0,0,0,0,NULL),
('guid_002','http://m1.bankx.com.cn/page2','http://m1.bankx.com.cn/BankX_MBSERVER/NEW/APP/MOBILE-BANK-H5/LOANS/MAIN/XWMINI','m1.bankx.com.cn','bankx.com.cn',1,0,0,0,NULL,0,0,0,'2026-05-13','2026-05-13',1,0,0,0,0,0,0,0,0,0,0,NULL),
('guid_003','http://m1.bankx.com.cn/page3','http://m1.bankx.com.cn/BankX_MBSERVER/NEW/APP/MOBILE-BANK-H5/FEIMA/4/786_3ZC6V00SCTS/KVP64MGHE6','m1.bankx.com.cn','bankx.com.cn',1,0,0,0,NULL,0,0,0,'2026-05-13','2026-05-13',1,0,0,0,0,0,0,0,0,0,0,NULL),
('guid_004','http://other.site.com/page','http://other.site.com/something','other.site.com','other.domain.com',1,0,0,0,NULL,0,0,0,'2026-05-13','2026-05-13',1,0,0,0,0,0,0,0,0,0,0,NULL),
('guid_005','http://m1.bankx.com.cn/page5','http://m1.bankx.com.cn/BankX_MBSERVER/NEW/APP/MOBILE-BANK-H5/LOANS/AUTHORIZATION','m1.bankx.com.cn','bankx.com.cn',1,0,0,0,NULL,0,0,0,'2026-05-13','2026-05-13',1,0,0,0,0,0,0,0,0,0,0,NULL),
('guid_001','http://m1.bankx.com.cn/page1b','http://m1.bankx.com.cn/BankX_MBSERVER/NEW/APP/MOBILE-BANK-H5/LOANS/MAIN/XWMINI','m1.bankx.com.cn','bankx.com.cn',1,0,0,0,NULL,0,0,0,'2026-05-13','2026-05-13',1,0,0,0,0,0,0,0,0,0,0,NULL)
''')
# Create output table: RTA loan URL samples
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.t_rta_loan_url_samples_pyspark_101 (
`uid` STRING,
`loan_type` STRING,
`city` STRING,
`industry` STRING,
`entity_name` STRING,
`legal_person` STRING,
`loan_stage` STRING,
`details` STRING
) PARTITIONED BY (`ds` BIGINT, `data_source` STRING, `id_type` STRING)
STORED AS ORC
''')
print('Database initialization complete')
spark.stop()
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