32 lines
1.9 KiB
SQL
32 lines
1.9 KiB
SQL
-- 20261009 商户投递记录分页索引（可重复执行）
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--
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-- 背景：/app-message/pc/deliveries 页面查询（source_mch_id + recipient_user_id 过滤，
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-- create_time desc, id desc 排序）在 third_push_delivery 上仅有
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-- (tenant_id, source_mch_id, create_time, del_flag) 索引，recipient_user_id
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-- 不在索引中，需沿商户范围逐行回表过滤；表增长到约 21 万行后实测 COUNT 约 2.2 秒。
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-- 方案：新增与页面查询形态精确匹配的复合索引，等值(mch, recipient)后按 create_time 有序，
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-- 分页与 COUNT 均为索引前缀范围扫描；无 recipient 条件时退回既有商户时间索引，不受影响。
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-- 执行：Online DDL（INPLACE + LOCK=NONE，不锁表），21 万行预计 5~15 秒，建议低峰执行。
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-- 回滚：文末 DROP INDEX。
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USE pjcloudx_thirdparty;
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SET @ddl = IF(
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(SELECT COUNT(*) FROM information_schema.statistics
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WHERE table_schema = 'pjcloudx_thirdparty' AND table_name = 'third_push_delivery'
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AND index_name = 'idx_third_push_delivery_mch_recipient') = 0,
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'ALTER TABLE third_push_delivery ADD INDEX idx_third_push_delivery_mch_recipient (tenant_id, source_mch_id, recipient_user_id, create_time, id), ALGORITHM=INPLACE, LOCK=NONE',
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'SELECT ''skip: idx_third_push_delivery_mch_recipient 已存在'' AS msg');
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PREPARE stmt FROM @ddl;
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EXECUTE stmt;
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DEALLOCATE PREPARE stmt;
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ANALYZE TABLE third_push_delivery;
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-- ============ 执行后验证（期望 key=idx_third_push_delivery_mch_recipient） ============
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-- EXPLAIN SELECT id FROM pjcloudx_thirdparty.third_push_delivery
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-- WHERE tenant_id = 1 AND source_mch_id = 2078051759222632449
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-- AND recipient_user_id = 2034824566572941314
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-- ORDER BY create_time DESC, id DESC LIMIT 20;
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-- ============ 回滚（如需） ============
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-- ALTER TABLE pjcloudx_thirdparty.third_push_delivery DROP INDEX idx_third_push_delivery_mch_recipient;
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