tasks/offline-compute/MySQL/mysql_008/init/init_db.sql

-- mysql_008 database initialization: create tables + load seed data
-- Executed via: mysql -u root < init_db.sql

-- Fix: MySQL root default auth_socket blocks pymysql TCP connections,
-- switch to mysql_native_password so pymysql (Python) can connect.
ALTER USER 'root'@'localhost' IDENTIFIED WITH mysql_native_password BY 'root123';
FLUSH PRIVILEGES;

CREATE DATABASE IF NOT EXISTS internal_platform_db
  DEFAULT CHARACTER SET utf8mb4
  DEFAULT COLLATE utf8mb4_unicode_ci;

USE internal_platform_db;

-- Input table: mq consumption feature daily increase
CREATE TABLE IF NOT EXISTS dws_mq_consumption_feature_d_increase_mysql_008 (
    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',
    topic                       VARCHAR(256)  COMMENT '消费组消费的topic',
    cluster_set                 VARCHAR(256)  COMMENT 'cluster_set',
    tenant                      VARCHAR(256)  COMMENT 'tenant',
    namespaces                  VARCHAR(256)  COMMENT 'namespaces',
    consumergroup               VARCHAR(256)  COMMENT '消费组',
    system_belong               VARCHAR(256)  COMMENT 'topic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',
    dw_appgroup                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',
    usage_desc                  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',
    is_reader                   TINYINT       COMMENT '消费组是否以reader的方式消费',
    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',
    is_produce                  TINYINT       COMMENT '当天topic是否有生产',
    total_produce_pkg_d         BIGINT        COMMENT '当天topic生产的消息数的总量',
    is_consume                  TINYINT       COMMENT '当天消费组是否有消费',
    total_consume_pkg_d         BIGINT        COMMENT '当天消费组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(%)',
    is_backlog                  TINYINT       COMMENT '当天消费组是否有消费堆积',
    total_backlog_d             BIGINT        COMMENT '当天消费组的消费堆积增量',
    backlog_ratio               VARCHAR(256)  COMMENT '当天消费组消费积压生产比例(%)',
    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',
    is_consume_all_7d           TINYINT       COMMENT '是否消费组近7天每天都有消费',
    consume_days_last_7d        TINYINT       COMMENT '消费组近7天消费天数',
    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(%)',
    is_consume_all_30d          TINYINT       COMMENT '是否消费组近30天每天都有消费',
    consume_days_last_30d       TINYINT       COMMENT '消费组近30天消费天数',
    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(%)',
    is_consume_all_90d          TINYINT       COMMENT '是否消费组近90天每天都有消费',
    consume_days_last_90d       TINYINT       COMMENT '消费组近90天消费天数',
    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(%)',
    is_backlog_all_7d           TINYINT       COMMENT '是否消费组近7天每天新增积压',
    backlog_days_last_7d        TINYINT       COMMENT '消费组近7天有新增积压的天数',
    total_backlog_last_7d       BIGINT        COMMENT '近7天的消费堆积增量',
    backlog_ratio_last_7d       VARCHAR(256)  COMMENT '消费组近7天的生产积压比例(%)',
    is_backlog_all_30d          TINYINT       COMMENT '是否消费组近30天每天新增积压',
    backlog_days_last_30d       INT           COMMENT '消费组近30天有新增积压的天数',
    total_backlog_last_30d      BIGINT        COMMENT '近30天的消费堆积增量',
    backlog_ratio_last_30d      VARCHAR(256)  COMMENT '消费组近30天的生产积压比例(%)',
    is_backlog_all_90d          TINYINT       COMMENT '是否消费组近90天每天新增积压',
    backlog_days_last_90d       TINYINT       COMMENT '消费组近90天有新增积压的天数',
    total_backlog_last_90d      BIGINT        COMMENT '近90天的消费堆积增量',
    backlog_ratio_last_90d      VARCHAR(256)  COMMENT '消费组近90天的生产积压比例(%)'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- Output table: consumergroup governance item detail
CREATE TABLE IF NOT EXISTS ads_mq_consumergroup_governance_item_d_cand_mysql_008 (
    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;

-- Seed data: 8 rows. 4 pass filter (bid001, bid002, bid003, bid007). Decoys:
--   bid004 is_reader=1 -> filtered by is_reader=0
--   bid005 total_consume_last_90d=0 -> filtered by <>0
--   bid006 total_consume_last_90d=NULL -> filtered by IS NOT NULL
--   bid008 dt='20260506' (passes all value filters) -> filtered by dt='20260507' partition filter
-- Positive-branch coverage: bid001/bid002 hit mq CONCAT branch; bid003 hits mq ELSE->topic branch (tenant/ns NULL)
--   and COALESCE fallback (consumergroup_incharge NULL -> bid_incharge); bid007 both incharge NULL (COALESCE -> NULL edge)
INSERT INTO dws_mq_consumption_feature_d_increase_mysql_008 VALUES
('20260507','bid001','account_streaming','topic_order','cluster_a','tenant1','ns1','cg_order_proc','数据总线','DEPT_I','product_a','appgroup1','user_a','op_user1','order processing','2025-01-01 10:00:00','2026-05-01 12:00:00',0,'bid_admin1','cls001',1,1,50000,1,48000,'96.0',0,0,'0.0',350000,1500000,4500000,1,7,340000,'97.1',1,30,1450000,'96.7',1,90,4400000,'97.8',0,2,10000,'2.9',0,5,50000,'3.3',0,10,100000,'2.2'),
('20260507','bid002','account_log','topic_log','cluster_b','tenant2','ns2','cg_log_reader','流处理平台','DEPT_T','product_b','appgroup2','user_b','op_user2','log consumption','2024-06-15 08:00:00','2026-04-20 09:30:00',0,'bid_admin2','cls002',1,1,100000,1,95000,'95.0',1,5000,'5.0',700000,3000000,9000000,1,7,680000,'97.1',1,30,2900000,'96.7',1,90,8800000,'97.8',1,7,20000,'2.9',1,15,100000,'3.3',1,30,200000,'2.2'),
('20260507','bid003','account_event','topic_event','cluster_a',NULL,NULL,'cg_event_sink','数据总线','DEPT_P','product_c','appgroup3',NULL,'op_user3','event sink','2025-03-10 14:00:00','2026-05-06 10:00:00',0,'bid_admin3','cls003',0,1,20000,1,18000,'90.0',0,0,'0.0',140000,600000,1800000,1,7,135000,'96.4',1,30,580000,'96.7',1,90,1750000,'97.2',0,1,5000,'3.6',0,3,18000,'3.0',0,8,50000,'2.8'),
('20260507','bid004','account_metric','topic_metric','cluster_c','tenant3','ns3','cg_metric_agg','流处理平台','DEPT_C','product_d','appgroup4','user_d','op_user4','metric aggregation','2024-12-01 16:00:00','2026-05-05 18:00:00',1,'bid_admin4','cls004',1,1,30000,1,29000,'96.7',0,0,'0.0',210000,900000,2700000,1,7,200000,'95.2',1,30,870000,'96.7',1,90,2650000,'98.1',0,0,0,'0.0',0,0,0,'0.0',0,0,0,'0.0'),
('20260507','bid005','account_alert','topic_alert','cluster_b','tenant4','ns4','cg_alert_handler','数据总线','DEPT_D','product_e','appgroup5','user_e','op_user5','alert handling','2025-02-20 09:00:00','2026-05-07 07:00:00',0,'bid_admin5','cls005',1,0,0,0,0,'0.0',0,0,'0.0',0,0,0,0,0,0,'0.0',0,0,0,'0.0',0,0,0,'0.0',0,0,0,'0.0',0,0,0,'0.0',0,0,0,'0.0'),
('20260507','bid006','account_null_consume','topic_null_consume','cluster_a','tenant5','ns5','cg_null_consume','数据总线','DEPT_I','product_f','appgroup6','user_f','op_user6','null consume test','2025-04-01 11:00:00','2026-05-06 14:00:00',0,'bid_admin6','cls006',1,1,40000,1,38000,'95.0',0,0,'0.0',280000,1200000,3600000,1,7,270000,'96.4',1,30,1150000,'95.8',1,90,NULL,NULL,0,1,5000,'1.8',0,2,20000,'1.7',0,5,40000,'1.1'),
('20260507','bid007','account_no_incharge','topic_no_incharge','cluster_c','tenant6','ns6','cg_no_incharge','流处理平台','DEPT_C','product_g','appgroup7',NULL,'op_user7','no incharge test','2025-05-15 09:00:00','2026-05-07 08:00:00',0,NULL,'cls007',1,1,25000,1,24000,'96.0',0,0,'0.0',175000,750000,2250000,1,7,170000,'97.1',1,30,730000,'97.3',1,90,2200000,'97.8',0,0,0,'0.0',0,0,0,'0.0',0,0,0,'0.0'),
('20260506','bid008','account_wrong_dt','topic_wrong_dt','cluster_d','tenant7','ns7','cg_wrong_dt','数据总线','DEPT_W','product_h','appgroup8','user_h','op_user8','wrong dt partition decoy','2025-06-01 10:00:00','2026-05-06 11:00:00',0,'bid_admin8','cls008',1,1,60000,1,57000,'95.0',0,0,'0.0',420000,1800000,5400000,1,7,410000,'97.6',1,30,1750000,'97.2',1,90,5300000,'98.1',0,0,0,'0.0',0,0,0,'0.0',0,0,0,'0.0');