-- 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);