Datasets:
File size: 14,886 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 | -- mysql_013 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 1: notebook_span_info
CREATE TABLE IF NOT EXISTS notebook_span_info_mysql_013 (
databus_imp_date VARCHAR(256) NOT NULL COMMENT '数据导入日期',
trace_id VARCHAR(256) NOT NULL COMMENT '追踪ID',
span_kind VARCHAR(256) DEFAULT NULL COMMENT 'Span类型',
error_code VARCHAR(256) DEFAULT NULL COMMENT '错误码',
service_name VARCHAR(256) DEFAULT NULL COMMENT '服务名称',
message VARCHAR(256) DEFAULT NULL COMMENT '消息',
parent_span_id VARCHAR(256) DEFAULT NULL COMMENT '父Span ID',
span_name VARCHAR(256) DEFAULT NULL COMMENT 'Span名称',
duration BIGINT DEFAULT NULL COMMENT '持续时间',
span_id VARCHAR(256) DEFAULT NULL COMMENT 'Span ID',
space_id VARCHAR(256) DEFAULT NULL COMMENT '空间ID',
span_type VARCHAR(256) DEFAULT NULL COMMENT 'Span类型',
start_time VARCHAR(256) DEFAULT NULL COMMENT '开始时间(毫秒时间戳)',
end_time VARCHAR(256) DEFAULT NULL COMMENT '结束时间(毫秒时间戳)',
service_instance VARCHAR(256) DEFAULT NULL COMMENT '服务实例',
status_code INT DEFAULT NULL COMMENT '状态码',
datawd_project_id VARCHAR(256) DEFAULT NULL COMMENT '项目ID',
datawd_task_id VARCHAR(256) DEFAULT NULL COMMENT '任务ID',
datawd_task_instance_id VARCHAR(256) DEFAULT NULL COMMENT '任务实例ID',
compute_type VARCHAR(256) DEFAULT NULL COMMENT '计算类型'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Input table 2: dwd_gputj_service_instance_map
CREATE TABLE IF NOT EXISTS dwd_gputj_service_instance_map_mysql_013 (
dt VARCHAR(256) NOT NULL COMMENT '日期',
service_name VARCHAR(256) DEFAULT NULL COMMENT '服务名称',
instance_uuid VARCHAR(256) NOT NULL COMMENT '实例UUID',
service_id BIGINT DEFAULT NULL COMMENT '服务ID',
version_id BIGINT DEFAULT NULL COMMENT '版本ID',
`desc` VARCHAR(256) DEFAULT NULL COMMENT '描述',
create_time DOUBLE DEFAULT NULL COMMENT '创建时间',
update_time DOUBLE DEFAULT NULL COMMENT '更新时间',
workload_name VARCHAR(256) DEFAULT NULL COMMENT '工作负载名称'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Input table 3: dwd_ml_platform_instance_podname
CREATE TABLE IF NOT EXISTS dwd_ml_platform_instance_podname_mysql_013 (
dt VARCHAR(256) NOT NULL COMMENT '日期',
instance_uuid VARCHAR(256) NOT NULL COMMENT '实例UUID',
pod_name VARCHAR(256) DEFAULT NULL COMMENT 'Pod名称',
pod_phase VARCHAR(256) DEFAULT NULL COMMENT 'Pod阶段',
pod_create_time BIGINT DEFAULT NULL COMMENT 'Pod创建时间',
pod_update_time BIGINT DEFAULT NULL COMMENT 'Pod更新时间',
namespace VARCHAR(256) DEFAULT NULL COMMENT '命名空间',
trial_job_name VARCHAR(256) DEFAULT NULL COMMENT '试用任务名称',
create_time BIGINT DEFAULT NULL COMMENT '创建时间',
modify_time BIGINT DEFAULT NULL COMMENT '修改时间',
fix_modify_time BIGINT DEFAULT NULL COMMENT '修正修改时间'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Input table 4: gputj_gpu_info_parsed_agg_1min
CREATE TABLE IF NOT EXISTS gputj_gpu_info_parsed_agg_1min_mysql_013 (
dt VARCHAR(256) NOT NULL COMMENT '日期',
pod_name VARCHAR(256) DEFAULT NULL COMMENT 'Pod名称',
pkg_agg_time VARCHAR(256) DEFAULT NULL COMMENT '聚合时间',
k8s_container_vgpu_gpu_util_sum DOUBLE DEFAULT NULL COMMENT 'GPU利用率总和',
k8s_container_vgpu_gpu_util_count BIGINT DEFAULT NULL COMMENT 'GPU利用率计数',
k8s_container_resource_request_gpu_sum DOUBLE DEFAULT NULL COMMENT 'GPU申请量总和',
k8s_container_resource_request_gpu_count BIGINT DEFAULT NULL COMMENT 'GPU申请量计数'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Input table 5: notebook_engine_info
CREATE TABLE IF NOT EXISTS notebook_engine_info_mysql_013 (
databus_imp_date VARCHAR(256) NOT NULL COMMENT '数据导入日期',
trace_id VARCHAR(256) NOT NULL COMMENT '追踪ID',
service_name VARCHAR(256) DEFAULT NULL COMMENT '服务名称',
compute_type VARCHAR(256) DEFAULT NULL COMMENT '计算类型',
datawd_project_id VARCHAR(256) DEFAULT NULL COMMENT '项目ID',
datawd_task_id VARCHAR(256) DEFAULT NULL COMMENT '任务ID',
datawd_task_instance_id VARCHAR(256) DEFAULT NULL COMMENT '任务实例ID',
is_permanent VARCHAR(256) DEFAULT NULL COMMENT '是否永久',
serving_id VARCHAR(256) DEFAULT NULL COMMENT '服务ID',
user_name VARCHAR(256) DEFAULT NULL COMMENT '用户名',
is_model_service VARCHAR(256) DEFAULT NULL COMMENT '是否模型服务',
compute_info VARCHAR(256) DEFAULT NULL COMMENT '计算信息',
num_gpu VARCHAR(256) DEFAULT NULL COMMENT 'GPU数量',
replicas VARCHAR(256) DEFAULT NULL COMMENT '副本数',
gpu_type VARCHAR(256) DEFAULT NULL COMMENT 'GPU类型',
`timestamp` VARCHAR(256) DEFAULT NULL COMMENT '时间戳',
ray_job_id VARCHAR(256) DEFAULT NULL COMMENT 'Ray任务ID',
reason VARCHAR(256) DEFAULT NULL COMMENT '原因',
log_url VARCHAR(256) DEFAULT NULL COMMENT '日志URL',
dashboard_url VARCHAR(256) DEFAULT NULL COMMENT '仪表盘URL'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Output table: dwd_notebook_instance_pod_cross_day_detail_d_cand
CREATE TABLE IF NOT EXISTS dwd_notebook_instance_pod_cross_day_detail_d_cand_mysql_013 (
trace_id VARCHAR(256) NOT NULL COMMENT '追踪ID',
datawd_project_id VARCHAR(256) DEFAULT NULL COMMENT '项目ID',
datawd_task_id VARCHAR(256) DEFAULT NULL COMMENT '任务ID',
datawd_task_instance_id VARCHAR(256) DEFAULT NULL COMMENT '任务实例ID',
compute_type VARCHAR(256) DEFAULT NULL COMMENT '计算类型',
status_code INT DEFAULT NULL COMMENT '状态码',
instance_run_time INT DEFAULT NULL COMMENT '实例运行时长(秒)',
code_run_time INT DEFAULT NULL COMMENT '代码运行时长(秒)',
resource_wait_time INT DEFAULT NULL COMMENT '资源等待时长(秒)',
code_start_time VARCHAR(256) DEFAULT NULL COMMENT '代码开始时间',
code_end_time VARCHAR(256) DEFAULT NULL COMMENT '代码结束时间',
instance_start_time VARCHAR(256) DEFAULT NULL COMMENT '实例开始时间',
instance_end_time VARCHAR(256) DEFAULT NULL COMMENT '实例结束时间',
serving_id VARCHAR(256) DEFAULT NULL COMMENT '服务ID',
is_permanent TINYINT(1) DEFAULT NULL COMMENT '是否永久(0/1)',
apply_for_gpu_count INT DEFAULT NULL COMMENT '申请GPU数量',
pod_name VARCHAR(256) DEFAULT NULL COMMENT 'Pod名称',
pkg_agg_time VARCHAR(256) DEFAULT NULL COMMENT 'GPU聚合时间',
gpu_util DOUBLE DEFAULT NULL COMMENT 'GPU利用率',
gpu_count DOUBLE DEFAULT NULL COMMENT 'GPU数量',
p_date VARCHAR(256) DEFAULT NULL COMMENT '日期',
dt VARCHAR(256) NOT NULL COMMENT '分区日期'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- ============================================================
-- Seed data
-- ============================================================
-- notebook_span_info: 9 rows (trace001 with cross-day span, trace002 single-day)
-- Timestamps are in UTC+8: 1746460800000(+08)=2026-05-06 00:00:00, etc.
-- service_instance links to dwd_gputj_service_instance_map.instance_uuid
INSERT INTO notebook_span_info_mysql_013 VALUES
('2026050700','trace001','','','notebook-runner','','','runner.execute',0,'','','','1777996800000','1778097600000','uuid001',0,'proj01','task01','inst01','ray'),
('2026050700','trace001','','','notebook-runner','','','execute.code',0,'','','','1778000400000','1778090400000','uuid001',0,'proj01','task01','inst01','ray'),
-- NOTE: set.permanent.compute for trace001 lives ONLY at databus_imp_date=2026050400 (an
-- earlier import date inside the [0504,0507] window). The baseline still picks it up, so
-- resource_wait_time=600. This is the 诱饵 for the "outer date window lower bound" rule:
-- tightening the lower bound to 0507 drops this row -> resource_wait_time becomes NULL.
('2026050400','trace001','','','notebook-runner','','','runner.execute',0,'','','','1777996800000','1778097600000','uuid001',0,'proj01','task01','inst01','ray'),
('2026050400','trace001','','','notebook-runner','','','execute.code',0,'','','','1778000400000','1778090400000','uuid001',0,'proj01','task01','inst01','ray'),
('2026050400','trace001','','','notebook-runner','','','set.permanent.compute',0,'','','','1777996800000','1777997400000','uuid001',0,'proj01','task01','inst01','ray'),
('2026050700','trace002','','','notebook-runner','','','runner.execute',0,'','','','1778083200000','1778086800000','uuid002',1,'proj02','task02','inst02','ray'),
('2026050700','trace002','','','notebook-runner','','','client.execute.code',0,'','','','1778083800000','1778086200000','uuid002',1,'proj02','task02','inst02','ray'),
('2026050700','trace002','','','notebook-runner','','','create.non.permanent.compute',0,'','','','1778083200000','1778083500000','uuid002',1,'proj02','task02','inst02','ray'),
-- ===== 诱饵 traces for the cross-day anchor filters (anchor subquery on dt=2026050700) =====
-- trace_d1: ray + notebook-runner but NO runner.execute span -> excluded by the
-- "span_name='runner.execute'" anchor condition. If that condition is dropped, it leaks in.
('2026050700','trace_d1','','','notebook-runner','','','execute.code',0,'','','','1778083800000','1778086200000','uuidd1',0,'projd1','taskd1','instd1','ray'),
-- trace_d2: has runner.execute + notebook-runner but compute_type='spark' -> excluded by the
-- anchor "compute_type='ray'" condition. Dropping it leaks this trace in.
('2026050700','trace_d2','','','notebook-runner','','','runner.execute',0,'','','','1778083200000','1778086800000','uuidd2',0,'projd2','taskd2','instd2','spark'),
-- trace_d3: has runner.execute + ray but service_name='other-svc' -> excluded by the anchor
-- "service_name='notebook-runner'" condition. Dropping it leaks this trace in.
('2026050700','trace_d3','','','other-svc','','','runner.execute',0,'','','','1778083200000','1778086800000','uuidd3',0,'projd3','taskd3','instd3','ray');
-- dwd_gputj_service_instance_map: 2 valid rows + 1 stale-dt 诱饵
INSERT INTO dwd_gputj_service_instance_map_mysql_013 VALUES
('2026050700','svc1','uuid001',12345,1,'desc1',0.0,0.0,'wl1'),
('2026050700','svc2','uuid002',67890,1,'desc2',0.0,0.0,'wl2'),
-- 诱饵 (map dt filter): stale dt maps service_id 12345 to uuid002 (=> pod-xyz-002). The
-- gputj_dim t1.dt filter keeps only dt='2026050700', so this is excluded in baseline.
-- If that dt filter is dropped, trace001 (serving 12345) also joins pod-xyz-002 -> extra rows.
('2025010100','svc1stale','uuid002',12345,1,'descstale',0.0,0.0,'wlstale');
-- dwd_ml_platform_instance_podname: 2 valid rows + 1 stale-dt 诱饵
INSERT INTO dwd_ml_platform_instance_podname_mysql_013 VALUES
('2026050700','uuid001','pod-abc-001','Running',0,0,'ns1','job1',0,0,0),
('2026050700','uuid002','pod-xyz-002','Running',0,0,'ns2','job2',0,0,0),
-- 诱饵 (podname dt filter): stale dt maps uuid001 to an extra pod. The gputj_dim t2.dt filter
-- keeps only dt='2026050700', so excluded in baseline. If dropped, uuid001 -> 2 pods -> extra rows.
('2025010100','uuid001','pod-stale-001','Running',0,0,'ns1','job1',0,0,0);
-- gputj_gpu_info_parsed_agg_1min: 2 valid rows + 2 诱饵 (count>0 filter, time-window join)
INSERT INTO gputj_gpu_info_parsed_agg_1min_mysql_013 VALUES
('2026050600','pod-abc-001','2026-05-06 10:30:00',150.0,2,3.0,2),
('2026050700','pod-xyz-002','2026-05-07 00:30:00',80.0,1,1.0,1),
-- 诱饵 (count>0 filter): pod-abc-001 inside trace001's instance window but both counts=0 ->
-- excluded by "(util_count>0 OR request_count>0)". If dropped it leaks (gpu_util=NULL) -> extra row.
('2026050600','pod-abc-001','2026-05-06 11:00:00',0.0,0,0.0,0),
-- 诱饵 (gpu time-window join): pod-abc-001 with valid counts but pkg_agg_time on 2026-05-04,
-- BEFORE trace001's instance_start_time (2026-05-06) -> excluded by the time-window join.
-- If the window predicate is replaced with TRUE, it leaks -> extra row for trace001.
('2026050400','pod-abc-001','2026-05-04 10:00:00',60.0,2,2.0,2);
-- notebook_engine_info
-- trace001: num_gpu=1 * replicas=2 = apply_for_gpu_count=2 (replicas != 1 so the
-- "apply = replicas*num_gpu" rule is observable: dropping the replicas factor -> 1).
-- trace002: num_gpu=1 * replicas=1 = 1.
INSERT INTO notebook_engine_info_mysql_013 VALUES
('2026050700','trace001','notebook-runner','ray','proj01','task01','inst01','true','12345','user1','false','info1','1','2','V100','ts1','rj1','','',''),
('2026050700','trace002','notebook-runner','ray','proj02','task02','inst02','false','67890','user2','false','info2','1','1','A100','ts2','rj2','','',''),
-- 诱饵 (engine compute_type filter): same trace002 but compute_type='spark' -> excluded by
-- "compute_type='ray'". If that filter is dropped it leaks, changing serving_id/is_permanent/apply.
('2026050700','trace002','notebook-runner','spark','proj02','task02','inst02','true','99999','userX','false','infoX','3','2','A100','tsX','rjX','','',''),
-- 诱饵 (engine service_name filter): same trace002 but service_name='other-svc' compute_type='ray'
-- -> excluded by "service_name='notebook-runner'". Dropping that filter leaks it.
('2026050700','trace002','other-svc','ray','proj02','task02','inst02','true','99999','userY','false','infoY','3','2','A100','tsY','rjY','','','');
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