MySQL 慢查询日报（线上 prod8891）2026-09-13

统计概览

Top10 明细（按单条耗时）

高频慢查询模式（指纹聚合，取样 19,251 条）

按条数 Top5

按累计耗时 Top5

备份模式全天 0 条 / 0.0s，未触发深度分析（如条数环比异常翻倍再人工介入）。

触发深度分析的模式（条数>100 或 累计>30min，非备份，最多 8 个）

1. select * from t_member_devices where (m_id = ? and hash = ?) limit ?; —— 4,181 次 × 5.15s = 5.99h

• 代表性 SQL：

select * from `t_member_devices` where (`m_id` = 342660 and `hash` = 'cb520558775c35407c91c71c4411eb91') limit 1;

• 库表：t8891.t_member_devices；实例 alias：prod-8891/master
• explain SQL：

select * from `t8891`.`t_member_devices` where (`m_id` = 342660 and `hash` = 'cb520558775c35407c91c71c4411eb91') limit 1;

• 执行计划（EXPLAIN 表节点，按 JOIN 顺序）：

• 慢因：扫描行数远大于返回行数(3,613,298/0)
• 建议：补索引（按 WHERE 等值列在前、范围列收尾建复合索引）; 用 EXPLAIN 验证 key 命中

2. select f_id, COUNT(*) count from t_carinfo_favorite where m_id IN (?...) and type = ? and exists (select * from t_carinfo_search_base_kind where t_carinfo_favor —— 2,957 次 × 4.98s = 4.09h

• 代表性 SQL：

select f_id, COUNT(*) count from `t_carinfo_favorite` where `m_id` in (0, 294835, 1299074, 1590067) and `type` = 3 and exists (select * from `t_carinfo_search_base_kind` where `t_carinfo_favorite`.`f_id` = `t_carinfo_search_base_kind`.`kind_id` and `sale_stop` = 0) group by `f_id` order by `count` desc limit 6;

• 库表：t8891.t_carinfo_favorite；实例 alias：prod-8891/master
• explain SQL：

select f_id, COUNT(*) count from `t8891`.`t_carinfo_favorite` where `m_id` in (0, 294835, 1299074, 1590067) and `type` = 3 and exists (select * from `t8891`.`t_carinfo_search_base_kind` where `t_carinfo_favorite`.`f_id` = `t_carinfo_search_base_kind`.`kind_id` and `sale_stop` = 0) group by `f_id` order by `count` desc limit 6;

• 执行计划（EXPLAIN 表节点，按 JOIN 顺序）：

• 计划标志：⚠️ filesort 排序、⚠️ 产生临时表
• 慢因：扫描行数远大于返回行数(1,829,356/6)、DISTINCT/GROUP BY 产生临时表(大范围去重/聚合)、排序未走索引(filesort)
• 建议：补索引（按 WHERE 等值列在前、范围列收尾建复合索引）; 用 EXPLAIN 验证 key 命中; 缩小聚合/去重范围(补时间等过滤条件), 或预聚合到中间表/定时任务; 把 ORDER BY 列纳入复合索引, 或减小排序前扫描范围

3. select t_carinfo_coupon_activity.* from t_carinfo_coupon_activity left join t_carinfo_coupon_activity_callback as b on t_carinfo_coupon_activity.id = b.activity —— 24 次 × 270.13s = 1.80h

• 代表性 SQL：

select t_carinfo_coupon_activity.* from `t_carinfo_coupon_activity` left join `t_carinfo_coupon_activity_callback` as `b` on `t_carinfo_coupon_activity`.`id` = `b`.`activity_item_id` left join `t_carinfo_agent_call_to_bidding` as `c` on `t_carinfo_coupon_activity`.`m_id` = `c`.`m_id` and `c`.`type` = 'callback' and `phase` = 4 and `c`.`created_at` > 't_carinfo_coupon_activity.created_at' where (`t_carinfo_coupon_activity`.`type` = 4) and `b`.`payment_time` is null and `t_carinfo_coupon_activity`.`m_id` > 0 and `c`.`id` is null;

• 库表：t8891.t_carinfo_coupon_activity；实例 alias：prod-8891/master
• explain SQL：

select t_carinfo_coupon_activity.* from `t8891`.`t_carinfo_coupon_activity` left join `t8891`.`t_carinfo_coupon_activity_callback` as `b` on `t_carinfo_coupon_activity`.`id` = `b`.`activity_item_id` left join `t8891`.`t_carinfo_agent_call_to_bidding` as `c` on `t_carinfo_coupon_activity`.`m_id` = `c`.`m_id` and `c`.`type` = 'callback' and `phase` = 4 and `c`.`created_at` > 't_carinfo_coupon_activity.created_at' where (`t_carinfo_coupon_activity`.`type` = 4) and `b`.`payment_time` is null and `t_carinfo_coupon_activity`.`m_id` > 0 and `c`.`id` is null;

• 执行计划（EXPLAIN 表节点，按 JOIN 顺序）：

• 慢因：扫描行数远大于返回行数(640,741/2,040)、EXPLAIN 全表扫描/未用索引
• 建议：补索引（按 WHERE 等值列在前、范围列收尾建复合索引）; 用 EXPLAIN 验证 key 命中

4. select * from t_carinfo_inquiry_agent where contact_status = ? and expire_status = ?; —— 1,438 次 × 1.93s = 46.3min

• 代表性 SQL：

select * from `t_carinfo_inquiry_agent` where `contact_status` = 0 and `expire_status` = 0;

• 库表：t8891.t_carinfo_inquiry_agent；实例 alias：prod-8891/master
• explain SQL：

select * from `t8891`.`t_carinfo_inquiry_agent` where `contact_status` = 0 and `expire_status` = 0;

• 执行计划（EXPLAIN 表节点，按 JOIN 顺序）：

• 慢因：扫描行数远大于返回行数(2,388,613/1,048)、EXPLAIN 全表扫描/未用索引
• 建议：补索引（按 WHERE 等值列在前、范围列收尾建复合索引）; 用 EXPLAIN 验证 key 命中
• 可执行 DDL（建议先在低峰期 EXPLAIN 验证再执行）：

ALTER TABLE `t8891`.`t_carinfo_inquiry_agent` ADD INDEX `idx_contact_st_expire_sta` (`contact_status`, `expire_status`);

5. select * from t_carinfo_inquiry_agent where expire_status = ? and expire_time <= ?; —— 1,440 次 × 1.80s = 43.3min

• 代表性 SQL：

select * from `t_carinfo_inquiry_agent` where `expire_status` = 0 and `expire_time` <= '2026-09-13 23:35:12';

• 库表：t8891.t_carinfo_inquiry_agent；实例 alias：prod-8891/master
• explain SQL：

select * from `t8891`.`t_carinfo_inquiry_agent` where `expire_status` = 0 and `expire_time` <= '2026-09-13 23:35:12';

• 执行计划（EXPLAIN 表节点，按 JOIN 顺序）：

• 慢因：扫描行数远大于返回行数(2,388,613/57)、EXPLAIN 全表扫描/未用索引
• 建议：补索引（按 WHERE 等值列在前、范围列收尾建复合索引）; 用 EXPLAIN 验证 key 命中
• 可执行 DDL（建议先在低峰期 EXPLAIN 验证再执行）：

ALTER TABLE `t8891`.`t_carinfo_inquiry_agent` ADD INDEX `idx_expire_sta_expire_tim` (`expire_status`, `expire_time`);

6. select max(record_time) as aggregate from t_carinfo_inquiry_call_log; —— 1,427 次 × 1.32s = 31.5min

• 代表性 SQL：

select max(`record_time`) as aggregate from `t_carinfo_inquiry_call_log`;

• 库表：t8891.t_carinfo_inquiry_call_log；实例 alias：prod-8891/master
• explain SQL：

select max(`record_time`) as aggregate from `t8891`.`t_carinfo_inquiry_call_log`;

• 执行计划（EXPLAIN 表节点，按 JOIN 顺序）：

• 慢因：扫描行数远大于返回行数(2,209,170/1)、EXPLAIN 全表扫描/未用索引
• 建议：补索引（按 WHERE 等值列在前、范围列收尾建复合索引）; 用 EXPLAIN 验证 key 命中

7. select brand_id from t_carinfo_inquiry where is_del = ? group by brand_id; —— 1,013 次 × 1.08s = 18.2min

• 代表性 SQL：

select `brand_id` from `t_carinfo_inquiry` where `is_del` = 0 group by `brand_id`;

• 库表：t8891.t_carinfo_inquiry；实例 alias：prod-8891/master
• explain SQL：

select `brand_id` from `t8891`.`t_carinfo_inquiry` where `is_del` = 0 group by `brand_id`;

• 执行计划（EXPLAIN 表节点，按 JOIN 顺序）：

• 慢因：扫描行数远大于返回行数(692,030/30)、全索引扫描(t_carinfo_inquiry: key=brand_id, rows=703,942，缺更优过滤索引)
• 建议：补索引（按 WHERE 等值列在前、范围列收尾建复合索引）; 用 EXPLAIN 验证 key 命中; 扩复合索引: 把其余 WHERE 等值列追加到现有索引尾部, 避免 10 万+ 行回表
• 可执行 DDL（建议先在低峰期 EXPLAIN 验证再执行）：

ALTER TABLE `t8891`.`t_carinfo_inquiry` ADD INDEX `idx_is_del` (`is_del`);

8. select t_vincheck_supervision.* from t_vincheck_supervision left join t_vincheck_supervision_info on t_vincheck_supervision_info.vincheck_supervision_id = t_vin —— 288 次 × 3.64s = 17.5min

• 代表性 SQL：

select `t_vincheck_supervision`.* from `t_vincheck_supervision` left join `t_vincheck_supervision_info` on `t_vincheck_supervision_info`.`vincheck_supervision_id` = `t_vincheck_supervision`.`id` where `t_vincheck_supervision`.`is_exist` = 1 and `t_vincheck_supervision`.`type` = 1 and `t_vincheck_supervision_info`.`id` is null order by `t_vincheck_supervision`.`id` asc limit 500;

• 库表：t8891.t_vincheck_supervision；实例 alias：prod-8891/master
• explain SQL：

select `t_vincheck_supervision`.* from `t8891`.`t_vincheck_supervision` left join `t8891`.`t_vincheck_supervision_info` on `t_vincheck_supervision_info`.`vincheck_supervision_id` = `t_vincheck_supervision`.`id` where `t_vincheck_supervision`.`is_exist` = 1 and `t_vincheck_supervision`.`type` = 1 and `t_vincheck_supervision_info`.`id` is null order by `t_vincheck_supervision`.`id` asc limit 500;

• 执行计划（EXPLAIN 表节点，按 JOIN 顺序）：

• 慢因：扫描行数远大于返回行数(987,285/104)
• 建议：补索引（按 WHERE 等值列在前、范围列收尾建复合索引）; 用 EXPLAIN 验证 key 命中

逐条优化建议汇总

P 行 = 深析模式（指纹聚合，按全天累计耗时降序 P1 最大，是优化主战场）；T 行 = 单条耗时 Top3 的一次性慢 SQL（多为 bi/导出查询，治理手段通常是限流/降频/移到从库，而非建索引）。

*采集脚本 .agents/scripts/mysql_slow_prod_report.py，中间数据 outputs/slow_report_prod8891_20260913.json；全程只读。*