Datasets:
File size: 13,219 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 | -- 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');
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