Files
java-template/docs/scheduler_optimization.sql
T
BrunoGaoandClaude 3248bb0a2a feat: 完成消息系统V2优化 - 基于user_id的高性能索引重构
## 主要更改

### 1. 数据库表结构增强
- **t_device_message_v2**: 新增7个关键字段
  - priority_level: 优先级数值(1-5)
  - channels: 分发渠道JSON
  - require_ack: 是否需要确认
  - metadata: 扩展元数据JSON
  - target_count: 目标用户总数
  - version: 乐观锁版本号

- **t_device_message_detail_v2**: 新增8个关键字段
  - distribution_id: 分发唯一ID
  - device_sn: 设备序列号
  - user_id: 用户ID(核心查询字段)
  - response_duration: 响应耗时
  - delivery_details: 分发详情JSON
  - client_info: 客户端信息JSON
  - location_info: 位置信息JSON
  - last_retry_time: 最后重试时间

### 2. 索引优化重构 (基于user_id)
- 删除原有device_sn相关索引
- 新建5个user_id高性能复合索引:
  - idx_customer_user_time: 客户+用户+时间
  - idx_customer_user_status: 客户+用户+状态
  - idx_customer_user_type: 客户+用户+类型
  - idx_user_org_priority: 用户+组织+优先级
  - idx_user_status_time: 用户+状态+时间

- detail表新建4个user_id相关索引:
  - uk_message_user_target: 唯一约束
  - idx_customer_user_status: 客户+用户+状态
  - idx_user_channel_time: 用户+渠道+时间
  - idx_user_delivery_status: 用户+分发状态

### 3. 数据迁移和初始化
- 自动生成distribution_id
- 根据urgency设置priority_level
- 初始化默认channels配置
- 保持现有数据完整性

### 4. 性能提升预期
- 用户消息查询: 预计10-20倍性能提升
- 确认状态查询: 支持快速人员清单检索
- 存储空间: JSON字段替代冗余VARCHAR
- 查询覆盖: 所有user_id查询都能命中索引

### 5. 文档和脚本
- 完整的V2优化SQL脚本
- 消息机制设计文档
- 数据库备份(22MB)
- 性能验证查询

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>
2025-09-15 07:56:03 +08:00

142 lines
5.7 KiB
SQL

-- 健康数据处理定时任务优化SQL脚本
-- 删除旧的分散任务,添加新的统一任务
-- 1. 删除重复和过时的定时任务
DELETE FROM mon_scheduler WHERE job_name IN (
'HealthTableArchive', -- 与 MonthlyDataArchive 重复
'UserHealthBaseline', -- 替换为统一任务
'DepartmentHealthBaseline', -- 替换为统一任务
'OrgHealthBaseline', -- 替换为统一任务
'UserHealthScore', -- 替换为统一任务
'DepartmentHealthScore', -- 替换为统一任务
'OrgHealthScore', -- 替换为统一任务
'HealthRecommendation' -- 替换为统一任务
);
-- 2. 添加统一健康数据处理任务 (每日凌晨02:00执行)
INSERT INTO mon_scheduler (
id, job_name, job_group, trigger_name, trigger_group,
job_data, trigger_data, create_user, create_user_id, create_time
) VALUES (
UNIX_TIMESTAMP() * 1000 + FLOOR(RAND() * 1000000),
'UnifiedHealthProcessing',
'HealthGroup',
'UnifiedHealthProcessingTrigger',
'HealthTriggerGroup',
'[{"key":"jobClass","value":"com.ljwx.modules.health.job.UnifiedHealthProcessingJob"},{"key":"description","value":"统一健康数据处理任务(基线→评分→建议)"}]',
'[{"key":"cronExpression","value":"0 0 2 * * ?"},{"key":"description","value":"每日凌晨02:00执行统一健康数据处理"}]',
'system',
1,
NOW()
);
-- 3. 添加分步骤健康数据处理任务(用于手动或独立执行)
-- 健康基线生成任务
INSERT INTO mon_scheduler (
id, job_name, job_group, trigger_name, trigger_group,
job_data, trigger_data, create_user, create_user_id, create_time
) VALUES (
UNIX_TIMESTAMP() * 1000 + FLOOR(RAND() * 1000000),
'HealthBaselineProcessing',
'HealthGroup',
'HealthBaselineProcessingTrigger',
'HealthTriggerGroup',
'[{"key":"jobClass","value":"com.ljwx.modules.health.job.HealthBaselineProcessingJob"},{"key":"description","value":"健康基线生成任务"}]',
'[{"key":"cronExpression","value":"0 0 0 1 1 ? 2099"},{"key":"description","value":"健康基线生成任务(手动执行)"}]',
'system',
1,
NOW()
);
-- 健康评分生成任务
INSERT INTO mon_scheduler (
id, job_name, job_group, trigger_name, trigger_group,
job_data, trigger_data, create_user, create_user_id, create_time
) VALUES (
UNIX_TIMESTAMP() * 1000 + FLOOR(RAND() * 1000000),
'HealthScoreProcessing',
'HealthGroup',
'HealthScoreProcessingTrigger',
'HealthTriggerGroup',
'[{"key":"jobClass","value":"com.ljwx.modules.health.job.HealthScoreProcessingJob"},{"key":"description","value":"健康评分生成任务"}]',
'[{"key":"cronExpression","value":"0 0 0 1 1 ? 2099"},{"key":"description","value":"健康评分生成任务(手动执行)"}]',
'system',
1,
NOW()
);
-- 健康预测生成任务
INSERT INTO mon_scheduler (
id, job_name, job_group, trigger_name, trigger_group,
job_data, trigger_data, create_user, create_user_id, create_time
) VALUES (
UNIX_TIMESTAMP() * 1000 + FLOOR(RAND() * 1000000),
'HealthPredictionProcessing',
'HealthGroup',
'HealthPredictionProcessingTrigger',
'HealthTriggerGroup',
'[{"key":"jobClass","value":"com.ljwx.modules.health.job.HealthPredictionProcessingJob"},{"key":"description","value":"健康预测生成任务"}]',
'[{"key":"cronExpression","value":"0 0 0 1 1 ? 2099"},{"key":"description","value":"健康预测生成任务(手动执行)"}]',
'system',
1,
NOW()
);
-- 健康建议生成任务
INSERT INTO mon_scheduler (
id, job_name, job_group, trigger_name, trigger_group,
job_data, trigger_data, create_user, create_user_id, create_time
) VALUES (
UNIX_TIMESTAMP() * 1000 + FLOOR(RAND() * 1000000),
'HealthRecommendationProcessing',
'HealthGroup',
'HealthRecommendationProcessingTrigger',
'HealthTriggerGroup',
'[{"key":"jobClass","value":"com.ljwx.modules.health.job.HealthRecommendationProcessingJob"},{"key":"description","value":"健康建议生成任务"}]',
'[{"key":"cronExpression","value":"0 0 0 1 1 ? 2099"},{"key":"description","value":"健康建议生成任务(手动执行)"}]',
'system',
1,
NOW()
);
-- 健康档案生成任务
INSERT INTO mon_scheduler (
id, job_name, job_group, trigger_name, trigger_group,
job_data, trigger_data, create_user, create_user_id, create_time
) VALUES (
UNIX_TIMESTAMP() * 1000 + FLOOR(RAND() * 1000000),
'HealthProfileProcessing',
'HealthGroup',
'HealthProfileProcessingTrigger',
'HealthTriggerGroup',
'[{"key":"jobClass","value":"com.ljwx.modules.health.job.HealthProfileProcessingJob"},{"key":"description","value":"健康档案生成任务"}]',
'[{"key":"cronExpression","value":"0 0 0 1 1 ? 2099"},{"key":"description","value":"健康档案生成任务(手动执行)"}]',
'system',
1,
NOW()
);
-- 保留必要的任务:
-- WeightConfigValidation (权重配置验证) - 01:00
-- MonthlyDataArchive (月度数据归档) - 每月1日00:00
-- HealthDataCleanup (数据清理) - 05:00
-- 查看优化后的任务列表
SELECT
job_name,
job_group,
JSON_EXTRACT(job_data, '$[1].value') as description,
JSON_EXTRACT(trigger_data, '$[0].value') as cron_expression,
create_time
FROM mon_scheduler
WHERE job_group = 'HealthGroup'
ORDER BY
CASE
WHEN JSON_EXTRACT(trigger_data, '$[0].value') = '0 0 1 * * ?' THEN 1 -- 01:00
WHEN JSON_EXTRACT(trigger_data, '$[0].value') = '0 0 2 * * ?' THEN 2 -- 02:00
WHEN JSON_EXTRACT(trigger_data, '$[0].value') = '0 0 5 * * ?' THEN 3 -- 05:00
WHEN JSON_EXTRACT(trigger_data, '$[0].value') = '0 0 0 1 * ?' THEN 4 -- 每月1日
ELSE 5
END,
job_name;