Datasets:
File size: 5,668 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 | -- mysql_012 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: Notebook instance pod detail (daily)
CREATE TABLE IF NOT EXISTS dwd_notebook_instance_pod_detail_d_mysql_012 (
dt VARCHAR(8) COMMENT '天分区',
trace_id VARCHAR(256) COMMENT '',
p_date VARCHAR(256) COMMENT '',
datawd_project_id VARCHAR(256) COMMENT '',
datawd_task_id VARCHAR(256) COMMENT '',
datawd_task_instance_id VARCHAR(256) COMMENT '',
compute_type VARCHAR(256) COMMENT '',
status_code INT COMMENT '',
instance_run_time INT COMMENT '',
code_run_time INT COMMENT '',
resource_wait_time INT COMMENT '',
code_start_time VARCHAR(256) COMMENT '',
code_end_time VARCHAR(256) COMMENT '',
instance_start_time VARCHAR(256) COMMENT '',
instance_end_time VARCHAR(256) COMMENT '',
serving_id VARCHAR(256) COMMENT '',
is_permanent TINYINT(1) COMMENT '布尔型',
apply_for_gpu_count INT COMMENT '',
pod_name VARCHAR(256) COMMENT '',
pkg_agg_time VARCHAR(256) COMMENT '分钟级时间戳',
gpu_util DOUBLE COMMENT 'GPU利用率',
gpu_count INT COMMENT 'GPU数'
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Output table: Notebook instance execute minute stat (daily)
CREATE TABLE IF NOT EXISTS dws_notebook_instance_execute_minute_stat_d_cand_mysql_012 (
dt VARCHAR(8) COMMENT '天分区',
trace_id VARCHAR(256) COMMENT '',
p_date VARCHAR(256) COMMENT '',
pkg_agg_time VARCHAR(256) COMMENT '分钟级时间戳',
datawd_project_id VARCHAR(256) COMMENT '',
datawd_task_id VARCHAR(256) COMMENT '',
datawd_task_instance_id VARCHAR(256) COMMENT '',
compute_type VARCHAR(256) COMMENT '',
status_code INT COMMENT '',
instance_run_time INT COMMENT '',
code_run_time INT COMMENT '',
resource_wait_time INT COMMENT '',
code_start_time VARCHAR(256) COMMENT '',
code_end_time VARCHAR(256) COMMENT '',
instance_start_time VARCHAR(256) COMMENT '',
instance_end_time VARCHAR(256) COMMENT '',
serving_id VARCHAR(256) COMMENT '',
is_permanent TINYINT(1) COMMENT '布尔型',
apply_for_gpu_count INT COMMENT '',
code_gpu_count INT COMMENT '',
instance_gpu_util DOUBLE COMMENT '',
code_gpu_util DOUBLE COMMENT '',
is_code_running INT COMMENT '',
used_gpu_count DOUBLE COMMENT '',
code_used_gpu_count DOUBLE COMMENT ''
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='Notebook 管道任务实例分钟级运行统计信息';
-- Seed data: 9 rows (8 for dt='20260507', 1 for dt='20260506' as noise)
INSERT INTO dwd_notebook_instance_pod_detail_d_mysql_012 VALUES
('20260507','trace_001','2026-05-07','proj_01','task_01','inst_01','GPU',0,120,100,20,'2026-05-07 10:00:00','2026-05-07 10:05:00','2026-05-07 09:58:00','2026-05-07 10:06:00','srv_01',1,2,'pod_a','2026-05-07 10:01:00',75.0,2),
('20260507','trace_001','2026-05-07','proj_01','task_01','inst_01','GPU',0,120,100,20,'2026-05-07 10:00:00','2026-05-07 10:05:00','2026-05-07 09:58:00','2026-05-07 10:06:00','srv_01',1,2,'pod_a','2026-05-07 10:02:00',80.0,2),
('20260507','trace_001','2026-05-07','proj_01','task_01','inst_01','GPU',0,120,100,20,'2026-05-07 10:00:00','2026-05-07 10:05:00','2026-05-07 09:58:00','2026-05-07 10:06:00','srv_01',1,2,'pod_a','2026-05-07 10:06:00',60.0,2),
('20260507','trace_001','2026-05-07','proj_01','task_01','inst_01','GPU',0,120,100,20,'2026-05-07 10:00:00','2026-05-07 10:05:00','2026-05-07 09:58:00','2026-05-07 10:06:00','srv_01',1,2,'pod_b','2026-05-07 10:01:00',85.0,2),
('20260507','trace_002','2026-05-07','proj_02','task_02','inst_02','CPU',1,200,150,50,NULL,NULL,'2026-05-07 11:00:00','2026-05-07 11:10:00','srv_02',0,0,'pod_b','2026-05-07 11:01:00',NULL,NULL),
('20260507','trace_002','2026-05-07','proj_02','task_02','inst_02','CPU',1,200,150,50,NULL,NULL,'2026-05-07 11:00:00','2026-05-07 11:10:00','srv_02',0,0,'pod_b','2026-05-07 11:02:00',50.0,1),
('20260507','trace_003','2026-05-07','proj_03','task_03','inst_03','GPU',0,300,250,50,'2026-05-07 12:00:00','2026-05-07 12:10:00','2026-05-07 11:58:00','2026-05-07 12:12:00','srv_03',1,4,'pod_c','2026-05-07 12:05:00',90.0,4),
('20260507','trace_003','2026-05-07','proj_03','task_03','inst_03','GPU',0,300,250,50,'2026-05-07 12:00:00','2026-05-07 12:10:00','2026-05-07 11:58:00','2026-05-07 12:12:00','srv_03',1,4,'pod_c','2026-05-07 12:15:00',NULL,4),
('20260506','trace_001','2026-05-06','proj_01','task_01','inst_01','GPU',0,100,80,20,'2026-05-06 10:00:00','2026-05-06 10:03:00','2026-05-06 09:58:00','2026-05-06 10:04:00','srv_01',1,2,'pod_a','2026-05-06 10:01:00',70.0,2);
|