tasks/offline-compute/MySQL/mysql_009_en/task.md

metadata

id: offline-compute_MySQL_mysql_009
name: 数据总线 Consumer Group Cost Detail Data Aggregation and Column Renaming
category: offline-compute/MySQL
timeout_seconds: 1800
modality: pure-text
engine: mysql

Prompt

I need you to generate a MySQL script that summarizes packet count, size, and cost from 数据总线 consumer group cost raw data, grouped by consumer group + business ID + topic, to produce a consumer group cost detail table.

Business Background and Objective: 数据总线 periodically writes cost data for each consumer group into a raw detail table. Downstream consumers only need records from the dt = '20260507' partition, grouped by business_id, topic, and consumer_group, with MAX aggregation applied to all other fields before writing to the output table. The output field names must also match the downstream table conventions. This task aggregates qualifying records from the input table, performs column renaming, and writes to the output table.

Input Table (full name + brief description):

• internal_platform_db.ods_t_databus_consume_cost_final_date_d_mysql_009 (数据总线 consumer group cost raw data table)

(Please connect to the database and query to confirm the table structure and field semantics.)

Filter and Aggregation Rules:

• Filter condition: dt = '20260507'
• Aggregation logic: Group by business_id, topic, consumer_group
• Apply MAX to systemname, dwproductname, dwappgroup, cityid, iset, pkgcnt, tubesize, total_cost, and in_charge

Column Renaming Rules:

• Input column systemname → output column system_belong
• Input column dwproductname → output column category_name
• Input column dwappgroup → output column dw_appgroup
• Input column cityid → output column city_id
• Input column iset → output column cluster_set
• Input column consumer_group → output column consumergroup
• Input column pkgcnt → output column pkg_cnt
• Input column tubesize → output column data_size
• business_id, topic, total_cost, in_charge retain their original names

Output Requirements:

• Target table: internal_platform_db.dwd_databus_consumergroup_cost_detail_d_cand_mysql_009
• Table comment: 数据总线 consumer group cost detail table, performing data cleansing on the ODS table
• Output field order: dt, system_belong, category_name, dw_appgroup, city_id, cluster_set, consumergroup, business_id, topic, pkg_cnt, data_size, total_cost, in_charge
• Field types: dt VARCHAR(256), system_belong VARCHAR(256), category_name VARCHAR(256), dw_appgroup VARCHAR(256), city_id VARCHAR(256), cluster_set VARCHAR(256), consumergroup VARCHAR(256), business_id VARCHAR(256), topic VARCHAR(256), pkg_cnt BIGINT, data_size BIGINT, total_cost DOUBLE, in_charge VARCHAR(256)
• If the target table does not exist, first create it using standard MySQL InnoDB format, then write the data
• Use standard MySQL syntax; do not use Hive/Spark SQL dialects

Environment and Execution Notes:

• Your final output must be written to the file /tmp_workspace/result.py, not result.sql
• The local MySQL is running at localhost:3306, username root, password root123
• Use Python pymysql in result.py to execute the SQL (do not use the mysql command-line tool)
• The script must include complete table creation (if the target table does not exist) and data writing logic
• After writing result.py, you must execute python3 /tmp_workspace/result.py yourself to verify that it runs successfully and produces correct data