| |
| |
| """ |
| mysql_008 ground truth: 消费组治理项明细提取 |
| |
| Task: |
| Filter input table WHERE dt = '20260507' |
| AND (total_consume_last_90d <> 0 AND total_consume_last_90d IS NOT NULL) |
| AND is_reader = 0 |
| Derive mq_full_topic, app_group, consumergroup_incharge, |
| consumergroup_description, hitted_gov_items, governance_benefit_estimate |
| Write to output table. |
| """ |
| import pymysql |
| import sys |
|
|
| DB_NAME = "internal_platform_db" |
| INPUT_TABLE = "dws_mq_consumption_feature_d_increase_mysql_008" |
| OUTPUT_TABLE = "ads_mq_consumergroup_governance_item_d_cand_mysql_008" |
|
|
| MYSQL_CONFIG = { |
| "host": "localhost", |
| "port": 3306, |
| "user": "root", |
| "password": "root123", |
| "charset": "utf8mb4", |
| } |
|
|
| gt_sql = f""" |
| INSERT INTO {DB_NAME}.{OUTPUT_TABLE} |
| (dt, business_id, business_name, cluster_set, mq_full_topic, topic, |
| consumergroup, system_belong, bg, category_name, app_group, |
| consumergroup_incharge, last_operator, consumergroup_description, |
| create_time, modify_time, bid_incharge, cluster_id, has_metadata, |
| total_produce_pkg_d, total_consume_pkg_d, consume_ratio, |
| total_produce_pkg_last_7d, total_produce_pkg_last_30d, total_produce_pkg_last_90d, |
| total_consume_last_7d, consume_ratio_last_7d, backlog_ratio_last_7d, |
| total_consume_last_30d, consume_ratio_last_30d, backlog_ratio_last_30d, |
| total_consume_last_90d, consume_ratio_last_90d, backlog_ratio_last_90d, |
| backlog_days_last_30d, hitted_gov_items, governance_benefit_estimate) |
| SELECT |
| '20260507' AS dt, |
| business_id, |
| business_name, |
| cluster_set, |
| IF(tenant IS NOT NULL AND namespaces IS NOT NULL, |
| CONCAT('persistent://', tenant, '/', namespaces, '/', topic), |
| topic) AS mq_full_topic, |
| topic, |
| consumergroup, |
| system_belong, |
| bg, |
| category_name, |
| dw_appgroup AS app_group, |
| COALESCE(consumergroup_incharge, bid_incharge) AS consumergroup_incharge, |
| last_operator, |
| usage_desc AS consumergroup_description, |
| create_time, |
| modify_time, |
| bid_incharge, |
| cluster_id, |
| has_metadata, |
| total_produce_pkg_d, |
| total_consume_pkg_d, |
| consume_ratio, |
| total_produce_pkg_last_7d, |
| total_produce_pkg_last_30d, |
| total_produce_pkg_last_90d, |
| total_consume_last_7d, |
| consume_ratio_last_7d, |
| backlog_ratio_last_7d, |
| total_consume_last_30d, |
| consume_ratio_last_30d, |
| backlog_ratio_last_30d, |
| total_consume_last_90d, |
| consume_ratio_last_90d, |
| backlog_ratio_last_90d, |
| backlog_days_last_30d, |
| NULL AS hitted_gov_items, |
| NULL AS governance_benefit_estimate |
| FROM {DB_NAME}.{INPUT_TABLE} |
| WHERE dt = '20260507' |
| AND (total_consume_last_90d <> 0 AND total_consume_last_90d IS NOT NULL) |
| AND is_reader = 0 |
| """ |
|
|
|
|
| def main(): |
| conn = pymysql.connect(**MYSQL_CONFIG) |
|
|
| try: |
| with conn.cursor() as cur: |
| |
| cur.execute(f""" |
| CREATE TABLE IF NOT EXISTS {DB_NAME}.{OUTPUT_TABLE} ( |
| dt VARCHAR(8) COMMENT '天分区', |
| business_id VARCHAR(256) COMMENT '消费组所属的business_id', |
| business_name VARCHAR(256) COMMENT 'business_name', |
| cluster_set VARCHAR(256) COMMENT 'cluster_set', |
| mq_full_topic VARCHAR(512) COMMENT 'mq的完整topic名', |
| topic VARCHAR(256) COMMENT '消费组消费的topic', |
| consumergroup VARCHAR(256) COMMENT '消费组', |
| system_belong VARCHAR(256) COMMENT 'bid所属的系统（数据总线/流处理平台）', |
| bg VARCHAR(256) COMMENT '消费组所属的bg', |
| category_name VARCHAR(256) COMMENT '消费组所归属的产品', |
| app_group VARCHAR(256) COMMENT '消费组所属的应用组', |
| consumergroup_incharge VARCHAR(256) COMMENT '消费组负责人', |
| last_operator VARCHAR(256) COMMENT '消费组最后一次的操作人', |
| consumergroup_description VARCHAR(256) COMMENT '消费组使用描述', |
| create_time VARCHAR(256) COMMENT '消费组创建时间', |
| modify_time VARCHAR(256) COMMENT '消费组修改时间', |
| bid_incharge VARCHAR(256) COMMENT 'bid负责人', |
| cluster_id VARCHAR(256) COMMENT 'bid所属集群id', |
| has_metadata TINYINT COMMENT '消费组是否在数据总线/流处理平台中有元数据', |
| total_produce_pkg_d BIGINT COMMENT '当天上游的消息数的总量', |
| total_consume_pkg_d BIGINT COMMENT '当天消费者消费的消息数的总量', |
| consume_ratio VARCHAR(256) COMMENT '当天消费组的消费生产比例(%)', |
| total_produce_pkg_last_7d BIGINT COMMENT '近7天topic生产的消息数的总量', |
| total_produce_pkg_last_30d BIGINT COMMENT '近30天topic生产的消息数的总量', |
| total_produce_pkg_last_90d BIGINT COMMENT '近90天topic生产的消息数的总量', |
| total_consume_last_7d BIGINT COMMENT '消费组近7天总消费量', |
| consume_ratio_last_7d VARCHAR(256) COMMENT '消费组近7天的生产消费比例(%)', |
| backlog_ratio_last_7d VARCHAR(256) COMMENT '消费组近7天的生产积压比例(%)', |
| total_consume_last_30d BIGINT COMMENT '消费组近30天总消费量', |
| consume_ratio_last_30d VARCHAR(256) COMMENT '消费组近30天的生产消费比例(%)', |
| backlog_ratio_last_30d VARCHAR(256) COMMENT '消费组近30天的生产积压比例(%)', |
| total_consume_last_90d BIGINT COMMENT '消费组近90天总消费量', |
| consume_ratio_last_90d VARCHAR(256) COMMENT '消费组近90天的生产消费比例(%)', |
| backlog_ratio_last_90d VARCHAR(256) COMMENT '消费组近90天的生产积压比例(%)', |
| backlog_days_last_30d INT COMMENT '消费组近30天有新增积压的天数', |
| hitted_gov_items VARCHAR(256) COMMENT '命中治理项', |
| governance_benefit_estimate DOUBLE COMMENT '预估治理收益（集群单元/月）' |
| ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci |
| """) |
|
|
| |
| cur.execute(f"TRUNCATE TABLE {DB_NAME}.{OUTPUT_TABLE}") |
| cur.execute(gt_sql) |
|
|
| conn.commit() |
| print("mysql_008 ground_truth done: rows written to output table") |
| except Exception as e: |
| print(f"ground_truth error: {e}", file=sys.stderr) |
| conn.rollback() |
| sys.exit(1) |
| finally: |
| conn.close() |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
