Datasets:
File size: 7,090 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 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 | #!/usr/bin/env python3
"""pyspark_016 database initialization: create tables + load seed data"""
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.appName('dataclaw_eval_init_pyspark_016') \
.enableHiveSupport() \
.config('spark.sql.warehouse.dir', '/tmp/hive_warehouse') \
.getOrCreate()
spark.sql('CREATE DATABASE IF NOT EXISTS internal_platform_db')
# Create dim_org_framework_org_d_f table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dim_org_framework_org_d_f_pyspark_220 (
`org_id` BIGINT,
`org_name` STRING,
`type_id` BIGINT,
`type_name` STRING,
`type_dw` STRING,
`org_path` STRING,
`org_full_path` STRING,
`parent_id` BIGINT,
`company_id` BIGINT,
`company_name` STRING,
`org_bg_01_id` BIGINT,
`org_bg_01_name` STRING,
`org_bg_02_id` BIGINT,
`org_bg_02_name` STRING,
`business_line_01_id` BIGINT,
`business_line_01_name` STRING,
`business_line_02_id` BIGINT,
`business_line_02_name` STRING,
`department_01_id` BIGINT,
`department_01_name` STRING,
`department_02_id` BIGINT,
`department_02_name` STRING,
`department_03_id` BIGINT,
`department_03_name` STRING,
`department_04_id` BIGINT,
`department_04_name` STRING,
`center_01_id` BIGINT,
`center_01_name` STRING,
`center_02_id` BIGINT,
`center_02_name` STRING,
`center_03_id` BIGINT,
`center_03_name` STRING,
`group_01_id` BIGINT,
`group_01_name` STRING,
`group_02_id` BIGINT,
`group_02_name` STRING,
`group_03_id` BIGINT,
`group_03_name` STRING,
`group_04_id` BIGINT,
`group_04_name` STRING,
`group_05_id` BIGINT,
`group_05_name` STRING,
`group_06_id` BIGINT,
`group_06_name` STRING,
`group_07_id` BIGINT,
`group_07_name` STRING,
`group_08_id` BIGINT,
`group_08_name` STRING,
`is_enabled` BIGINT,
`is_deleted` BIGINT,
`is_virtual` BIGINT,
`year` STRING,
`month` STRING,
`day` STRING
) STORED AS ORC
''')
spark.sql('''
INSERT INTO internal_platform_db.dim_org_framework_org_d_f_pyspark_220 VALUES
(100, 'CompanyA', 1, 'company', 'cp', '/100', '/100', 0, 100, 'CompanyA', 200, 'BG1', -1, '', 300, 'BL1', -1, '', 400, 'Dept1', -1, '', -1, '', -1, '', 500, 'Center1', -1, '', -1, '', 600, 'Group1', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', 1, 0, 0, '2026', '05', '13'),
(400, 'Dept1', 2, 'department', 'dp', '/100/400', '/100/200/300/400', 300, 100, 'CompanyA', 200, 'BG1', -1, '', 300, 'BL1', -1, '', 400, 'Dept1', -1, '', -1, '', -1, '', 500, 'Center1', -1, '', -1, '', 600, 'Group1', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', 1, 0, 0, '2026', '05', '13'),
(500, 'Center1', 3, 'center', 'ct', '/100/500', '/100/200/300/400/500', 400, 100, 'CompanyA', 200, 'BG1', -1, '', 300, 'BL1', -1, '', 400, 'Dept1', -1, '', -1, '', -1, '', 500, 'Center1', -1, '', -1, '', 600, 'Group1', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', 1, 0, 0, '2026', '05', '13'),
(600, 'Group1', 4, 'group', 'gp', '/100/600', '/100/200/300/400/500/600', 500, 100, 'CompanyA', 200, 'BG1', -1, '', 300, 'BL1', -1, '', 400, 'Dept1', -1, '', -1, '', -1, '', 500, 'Center1', -1, '', -1, '', 600, 'Group1', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', 1, 0, 0, '2026', '05', '13')
''')
# Create dim_code_employee_user_org_relation_bare_d_f table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dim_code_employee_user_org_relation_bare_d_f_pyspark_220 (
`org_id` BIGINT,
`org_type_id` BIGINT,
`company_id` BIGINT,
`company_name` STRING,
`org_bg_id` BIGINT,
`org_bg_name` STRING,
`business_line_id` BIGINT,
`business_line_name` STRING,
`department_id` BIGINT,
`department_name` STRING,
`center_id` BIGINT,
`center_name` STRING,
`group_id` BIGINT,
`group_name` STRING,
`employee_id` BIGINT,
`user_id` BIGINT,
`user_name` STRING,
`employee_type_id` BIGINT,
`year` STRING,
`month` STRING,
`day` STRING
) STORED AS ORC
''')
spark.sql('''
INSERT INTO internal_platform_db.dim_code_employee_user_org_relation_bare_d_f_pyspark_220 VALUES
(600, 4, 100, 'CompanyA', 200, 'BG1', 300, 'BL1', 400, 'Dept1', 500, 'Center1', 600, 'Group1', 1001, 1001, 'alice', 1, '2026', '05', '13'),
(600, 4, 100, 'CompanyA', 200, 'BG1', 300, 'BL1', 400, 'Dept1', 500, 'Center1', 600, 'Group1', 1002, 1002, 'bob', 1, '2026', '05', '13'),
(600, 4, 100, 'CompanyA', 200, 'BG1', 300, 'BL1', 400, 'Dept1', 500, 'Center1', 600, 'Group1', 1003, 1003, 'charlie', 1, '2026', '05', '13')
''')
# Create dual table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dual_pyspark_220 (
`dummy` STRING
) STORED AS ORC
''')
spark.sql("INSERT INTO internal_platform_db.dual_pyspark_220 VALUES ('X')")
# Create dwm_code_review_note_user_stat_d_f table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dwm_code_review_note_user_stat_d_f_pyspark_220 (
`note_crt_date` DATE,
`project_id` BIGINT,
`author_id` BIGINT,
`author_name` STRING,
`line_human_note_cnt` BIGINT,
`line_system_note_cnt` BIGINT,
`global_human_note_cnt` BIGINT,
`global_system_note_cnt` BIGINT,
`total` BIGINT,
`created_at` TIMESTAMP,
`updated_at` TIMESTAMP,
`year` STRING,
`month` STRING,
`day` STRING
) STORED AS ORC
''')
spark.sql('''
INSERT INTO internal_platform_db.dwm_code_review_note_user_stat_d_f_pyspark_220 VALUES
(CAST('2026-05-10' AS DATE), 1, 1001, 'alice', 50, 10, 5, 2, 67, CAST('2026-05-10 10:00:00' AS TIMESTAMP), CAST('2026-05-10 10:00:00' AS TIMESTAMP), '2026', '05', '13'),
(CAST('2026-05-08' AS DATE), 2, 1002, 'bob', 30, 5, 3, 1, 39, CAST('2026-05-08 10:00:00' AS TIMESTAMP), CAST('2026-05-08 10:00:00' AS TIMESTAMP), '2026', '05', '13'),
(CAST('2026-05-05' AS DATE), 3, 1003, 'charlie', 20, 3, 2, 0, 25, CAST('2026-05-05 10:00:00' AS TIMESTAMP), CAST('2026-05-05 10:00:00' AS TIMESTAMP), '2026', '05', '13')
''')
# Create dwd_code_review_used_time_d_i table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dwd_code_review_used_time_d_i_pyspark_220 (
`dt` STRING,
`ori_id` BIGINT,
`review_id` BIGINT,
`project_id` BIGINT,
`reviewer_id` BIGINT,
`reviewer_name` STRING,
`created_at` STRING,
`updated_at` STRING,
`duration_total` BIGINT,
`duration_today` BIGINT,
`is_review_author` BIGINT,
`is_reviewer` BIGINT,
`is_fileowner` BIGINT,
`year` STRING,
`month` STRING,
`day` STRING
) STORED AS ORC
''')
spark.sql('''
INSERT INTO internal_platform_db.dwd_code_review_used_time_d_i_pyspark_220 VALUES
('2026-05-10', 1, 101, 1, 1001, 'alice', '2026-05-10 09:00:00', '2026-05-10 10:00:00', 3600, 120, 0, 1, 0, '2026', '05', '10'),
('2026-05-11', 2, 102, 2, 1002, 'bob', '2026-05-11 09:00:00', '2026-05-11 10:00:00', 7200, 200, 0, 1, 0, '2026', '05', '11'),
('2026-05-12', 3, 103, 3, 1003, 'charlie', '2026-05-12 09:00:00', '2026-05-12 10:00:00', 5400, 80, 0, 0, 1, '2026', '05', '12')
''')
print('Database initialization complete')
spark.stop()
|