📋 目录统计概览Top10 明细(按单条耗时)高频慢查询模式(指纹聚合,取样 21,378 条触发深度分析的模式(条数>100 或 累计>30逐条优化建议汇总

MySQL 慢查询日报(线上 prod591)2026-09-21

统计概览

项目值
统计范围2026-09-21 00:00:00 ~ 23:59:59(Asia/Shanghai)
环境prod-591
慢日志条数(ES mysql-slow_*)35,160 条(指纹聚合取样 21,378 条,覆盖率 61%,超过 2 万条上限截断)
Top10 单条最慢5,789.21 s(user=bi,ZHDX_t591_148)
非备份模式最大累计15.06h(81 次 × 669.33 s)
备份模式(user 含 backup/databasus_backup)43 条、累计 1.41h(单独标注,不触发深析)
监控巡检类(jmysql/proxysql_monitor 或 information_schema)95 条、累计 1.9min(多为 # Schema: 空导致采集端 _grokparsefailure、无库名;单独标注,不触发深析)
深析模式 explain 成功率4/8(50%)
数据来源ES mysql-slow_*(@timestamp)+ MCP 只读 MySQL(describe_schema/explain)
生成时间2026-09-22 09:41(Asia/Shanghai)

Top10 明细(按单条耗时)

#耗时(s)库.表行数 sent/examineduser / server慢因分类
15,789.21t591_new.market_community_agent_bid_record_detail20,955 / 4,496,022,073bi / ZHDX_t591_148扫描行数远大于返回行数(4,496,022,073/20,955)、索引范围扫描量过大(market_community_agent_bid_record_detail: key=idx_created_at, rows=3,568,860)
21,687.05tw591_gateway.verify_log8,741,046 / 8,741,046databasus_backup / ZHDX_t591_118:3307其他(需结合 SQL 与执行计划人工判断)
31,260.43t5_pop_recmd.user_profile_latest8,440,219 / 8,440,219databasus_backup / ZHDX_t591_118:3307其他(需结合 SQL 与执行计划人工判断)
41,206.79t591.rent501 / 4,335,854Security591 / ZHDX_t591_207扫描行数远大于返回行数(4,335,854/501)、EXPLAIN 全表扫描/未用索引
51,068.24t591_new.market_voucher_use141 / 618,284,271bi / ZHDX_t591_148扫描行数远大于返回行数(618,284,271/141)
6937.83t591.rent600 / 4,335,759Security591 / ZHDX_t591_207扫描行数远大于返回行数(4,335,759/600)、EXPLAIN 全表扫描/未用索引
7929.31t591.house_rel5 / 38,954,035Security591 / ZHDX_t591_207扫描行数远大于返回行数(38,954,035/5)、EXPLAIN 全表扫描/未用索引
8859.27None.user_profile_latest0 / 3,329,670t5_pop_recmd / ZHDX_t591_34扫描行数远大于返回行数(3,329,670/0)
9857.94None.user_profile_latest0 / 3,326,618t5_pop_recmd / ZHDX_t591_34扫描行数远大于返回行数(3,326,618/0)
10857.80None.user_profile_latest0 / 3,325,137t5_pop_recmd / ZHDX_t591_34扫描行数远大于返回行数(3,325,137/0)

高频慢查询模式(指纹聚合,取样 21,378 条)

按条数 Top5

#模式(指纹摘要)条数平均(s)累计serveruser
1select count(*) as aggregate from sale where status = ? and closed = ? and community_id = ? and kind IN (?...) and posttime >= ? /* ms:tw591ms-cdc */;3,9721.671.85hZHDX_t591_207tw591
2select last_contacted_at, uid, is_sticked from im_conversations where conversation IN (?...) and uid != ? and im_conversations.deleted_at is null /* ms:hongyan-web-server */2,0103.011.68hRDS_IMhk591
3
select a.community_id, MIN(a.user_id) as user_id from t591.sale as a inner join t591_new.market_community_agent_bid_record as b on a.user_id = b.user_id inner j …(点击展开完整 SQL)
select a.community_id, MIN(a.user_id) as user_id from t591.sale as a inner join t591_new.market_community_agent_bid_record as b on a.user_id = b.user_id inner join t591_new.im_user_bind as im on im.im_uid=CONCAT(a.user_id,?) where a.community_id IN (?...) and b.start_time >= ? and b.end_time <= ? and b.status = ? and b.proc_status = ? and b.deleted = ? and a.status = ? and a.closed = ? group by a.community_id /* ms:tw591ms-community */;
1,7954.232.11hZHDX_t591_137,ZHDX_t591_181,ZHDX_t591_18tw591
4SELECT COUNT(*) AS total FROM t591_ivr.ivr_ext_service_call_t591 as a LEFT JOIN t591_ivr.ivr_ext_usr_number as b ON a.number = b.number AND a.send_id = b.send_id WHERE ? AND b.the_type=? AND b.the_id=? AND a.status IN (?...) AND a.start_time<=?;52310.231.49hZHDX_t591_113tw591
5select count(*) as aggregate from t591.rent where user_id = ? and status = ? and closed = ?;4871.7914.5minZHDX_t591_137,ZHDX_t591_181,ZHDX_t591_18tw591

按累计耗时 Top5

#模式条数平均(s)累计serveruser
1DELETE FROM user_profile_latest WHERE create_time < ? LIMIT ?;81669.3315.06hZHDX_t591_34t5_pop_recmd
2
select a.community_id, MIN(a.user_id) as user_id from t591.sale as a inner join t591_new.market_community_agent_bid_record as b on a.user_id = b.user_id inner j …(点击展开完整 SQL)
select a.community_id, MIN(a.user_id) as user_id from t591.sale as a inner join t591_new.market_community_agent_bid_record as b on a.user_id = b.user_id inner join t591_new.im_user_bind as im on im.im_uid=CONCAT(a.user_id,?) where a.community_id IN (?...) and b.start_time >= ? and b.end_time <= ? and b.status = ? and b.proc_status = ? and b.deleted = ? and a.status = ? and a.closed = ? group by a.community_id /* ms:tw591ms-community */;
1,7954.232.11hZHDX_t591_137,ZHDX_t591_181,ZHDX_t591_18tw591
3select count(*) as aggregate from sale where status = ? and closed = ? and community_id = ? and kind IN (?...) and posttime >= ? /* ms:tw591ms-cdc */;3,9721.671.85hZHDX_t591_207tw591
4select last_contacted_at, uid, is_sticked from im_conversations where conversation IN (?...) and uid != ? and im_conversations.deleted_at is null /* ms:hongyan-web-server */2,0103.011.68hRDS_IMhk591
5
SELECT mcrd.id, mcbr.period_id as ?, mcrd.record_id ?, if(mcbr.parent_id!=?,mcbr.parent_id,null) ?, mcrd.oid ?, mcrd.user_id ?, case mcrd.payment_type when ? th …(点击展开完整 SQL)
SELECT mcrd.id, mcbr.period_id as ?, mcrd.record_id ?, if(mcbr.parent_id!=?,mcbr.parent_id,null) ?, mcrd.oid ?, mcrd.user_id ?, case mcrd.payment_type when ? then ? when ? then ? end ?, mcrd.money ?, mcrd. type ?, mcrd.rank ?, mcrd.community_id ?, -- mc.name ?, ar.name ?, ase.name ?, case when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcbr.source=? then ? when mcbr.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source=? then ? when mcrd.source>=? and mcrd.source<=? then ? else mcrd.source end ?, mcrd.deleted ?, -- ,?、為已刪,?、未未刪 case mcrd.pay_status when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? else mcrd.pay_status end ?, mcrd.created_at ?, mcrd.updated_at ? from t591_new.market_community_agent_bid_record_detail mcrd LEFT JOIN t591_new.market_community_agent_bid_record mcbr on mcrd.record_id=mcbr.id and mcrd.user_id=mcbr.user_id LEFT JOIN t591_new.market_community_bid_rules mcr on mcbr.community_id=mcr.community_id -- and mcbr.period_id=mcr.period_id LEFT JOIN t591_new.market_community mc on mcrd.community_id=mc.id left JOIN t591_new.area_region ar on mcr.regionid=ar.id left JOIN t591_new.area_section ase on mcr.sectionid=ase.id LEFT JOIN t591_new.market_community_agent_order mco on mcrd.oid=mco.id LEFT JOIN t591_new.market_voucher_use mvu on mcrd.user_id=mvu.user_id and mcrd.oid=mvu.oid and mvu.oid!=? LEFT join t591_new.market_voucher mv on mvu.voucher_id=mv.id LEFT join t591_new.market_voucher_config mvc on mv.config_id=mvc.id WHERE mcrd.created_at>=? and mcbr.parent_id!=? and (mcrd.created_at>=DATE_SUB(CURDATE(),INTERVAL ? DAY) or mcrd.updated_at>=DATE_SUB(CURDATE(),INTERVAL ? DAY));
15789.211.61hZHDX_t591_148bi
备份模式全天 43 条 / 1.41h,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. DELETE FROM user_profile_latest WHERE create_time < ? LIMIT ?; —— 81 次 × 669.33s = 15.06h

DELETE FROM user_profile_latest
    WHERE create_time < '2026-03-18 00:00:03'
    LIMIT 5000;
ALTER TABLE `user_profile_latest` ADD INDEX `idx_create_tim` (`create_time`);

2. select a.community_id, MIN(a.user_id) as user_id from t591.sale as a inner join t591_new.market_community_agent_bid_record as b on a.user_id = b.user_id inner j —— 1,795 次 × 4.23s = 2.11h

select a.community_id, MIN(a.user_id) as user_id from t591.sale as a inner join `t591_new`.`market_community_agent_bid_record` as `b` on `a`.`user_id` = `b`.`user_id` inner join `t591_new`.`im_user_bind` as `im` on im.im_uid=CONCAT(a.user_id,"") where `a`.`community_id` in ('105035', '3695078', '105075') and `b`.`start_time` >= '2026-09-21 00:00:00' and `b`.`end_time` <= '2026-09-21 23:59:59' and `b`.`status` = '3' and `b`.`proc_status` = '3' and `b`.`deleted` = '0' and `a`.`status` = '2' and `a`.`closed` = '0' group by `a`.`community_id` /* ms:tw591ms-community */;
SELECT * FROM `t591`.`sale` WHERE `start_time` >= '2026-09-21 00:00:00' LIMIT 10
#表访问类型使用索引候选索引预扫行数过滤后
1sale❌ 全表扫描——17,771,10333.33%
ALTER TABLE `t591`.`sale` ADD INDEX `idx_start_time` (`start_time`);

3. select count(*) as aggregate from sale where status = ? and closed = ? and community_id = ? and kind IN (?...) and posttime >= ? /* ms:tw591ms-cdc */; —— 3,972 次 × 1.67s = 1.85h

select count(*) as aggregate from `sale` where `status` = '2' and `closed` = '0' and `community_id` = '25812' and `kind` in ('6', '8', '9', '10', '24') and `posttime` >= '1788624000' /* ms:tw591ms-cdc */;
select count(*) as aggregate from `t591`.`sale` where `status` = '2' and `closed` = '0' and `community_id` = '25812' and `kind` in ('6', '8', '9', '10', '24') and `posttime` >= '1788624000' /* ms:tw591ms-cdc */;
#表访问类型使用索引候选索引预扫行数过滤后
1salerefidx_community_idposttime,idx_community_id5,9120.01%
ALTER TABLE `t591`.`sale` ADD INDEX `idx_status_closed_community__kind_posttime` (`status`, `closed`, `community_id`, `kind`, `posttime`);

4. select last_contacted_at, uid, is_sticked from im_conversations where conversation IN (?...) and uid != ? and im_conversations.deleted_at is null /* ms:hongyan- —— 2,010 次 × 3.01s = 1.68h

select `last_contacted_at`, `uid`, `is_sticked` from `im_conversations` where `conversation` in (select `conversation` from `im_conversations` where `app_id` = '3' and `uid` = '1001' and `deleted_at` is null) and `uid` != '1001' and `im_conversations`.`deleted_at` is null /* ms:hongyan-web-server */
ALTER TABLE `im_conversations` ADD INDEX `idx_app_id_uid_conversati` (`app_id`, `uid`, `conversation`);

5. SELECT mcrd.id, mcbr.period_id as ?, mcrd.record_id ?, if(mcbr.parent_id!=?,mcbr.parent_id,null) ?, mcrd.oid ?, mcrd.user_id ?, case mcrd.payment_type when ? th —— 1 次 × 5789.21s = 1.61h

SELECT 
mcrd.`id`,
mcbr.period_id as '期数',
mcrd.`record_id` '竞价ID',
if(mcbr.parent_id!=0,mcbr.parent_id,null) '父竞价ID',
mcrd.oid '订单ID',
mcrd.`user_id` '会员ID',
case mcrd.`payment_type` when 1 then '竞价' when 2 then '调价' end '出价类型',
mcrd.`money` '(出价/调价)金额',
mcrd. `type` '竞价类型',
mcrd.`rank` '预排名',
mcrd.`community_id` '社区ID',
-- mc.`name` '社区名称',
ar.`name` '社区县市',
ase.`name` '社区乡镇',
case when mcrd.`source`=1 then '推荐' when mcrd.`source`=2 then '搜寻' when mcrd.`source`=3 then '收藏' when mcrd.`source`=4 then '上期' 
when mcrd.`source`=5 then '历史' when mcrd.`source`=6 then '续购' when mcrd.`source`=7 then '物件管理页' when mcrd.`source`=8 then '会员中心推荐社区弹窗' when mcrd.`source`=9 then '召集令活动页' when mcrd.`source`=10 then '企业号触屏' when mcrd.`source`=11 then '精准营销弹窗' when mcrd.`source`=12 then '物件刊登成功页' when mcrd.`source`=13 then '物件管理页顶部推荐' when mcrd.`source`=14 then '最新续购' 
when mcrd.`source`=15 then '优质社区推荐'
when mcrd.`source`=16 then '弹窗复购'
when mcrd.`source`=17 then '弹窗續費'
when mcrd.`source`=18 then '中古屋詳情頁PC端'
when mcrd.`source`=19 then '中古屋詳情頁觸屏端'
when mcrd.`source`=20 then '中古屋詳情頁APP端'
when mcrd.`source`=21 then '租屋詳情頁PC端'
when mcrd.`source`=22 then '租屋詳情頁觸屏端'
when mcrd.`source`=23 then '租詳情頁APP端'
when mcrd.`source`=24 then 'PC-会员中心优惠券'
when mcrd.`source`=25 then '触屏-会员中心'
when mcrd.`source`=26 then 'APP-会员中心'
when mcrd.`source`=27 then '四端-金牌专家版位'
when mcrd.`source`=28 then '四端-介绍页'
when mcrd.`source`=29 then '待办事项提醒续费'
when mcrd.`source`=30 then '待办事项体系到期复购'
when mcrd.`source`=31 then 'PC-现金券列表'
when mcrd.`source`=32 then '触屏-现金券列表'
when mcrd.`source`=33 then 'PC-领取成功弹窗社区推荐'
when mcrd.`source`=34 then 'PC-待使用弹窗社区推荐' 
when mcrd.`source`=35 then '物件管理页顶部推荐(物件推荐)'
when mcrd.`source`=37 then '曝光失败弹窗复购'
when mcrd.`source`=38 then '即将到期一键续购'
when mcrd.`source`=39 then '已到期一键续购'
when mcbr.`source`=40 then '即将到期一键续购-触屏'
when mcbr.`source`=41 then '即将到期一键续购-APP'
when mcrd.`source`=101 then '其他'
when mcrd.`source`=102 then 'pc金牌专家购买列表'
when mcrd.`source`=103 then '触屏金牌专家购买列表'
when mcrd.`source`=104 then 'PC物件管理页列表'
when mcrd.`source`=105 then 'PC弹窗引导'
when mcrd.`source`>=100 and mcrd.`source`<=200 then '自定义' else mcrd.`source` end '订单入口来源',
mcrd.`deleted` '是否刪除',  -- ,1、為已刪,0、未未刪
case mcrd.`pay_status` when 1 then '待支付' when 2 then '已支付' when 3 then '退款' when 4 then '取消' when 5 then '失败' else mcrd.`pay_status` end '支付状态',
mcrd.`created_at` '创建时间',
mcrd.`updated_at` '更新时间' 
from t591_new.market_community_agent_bid_record_detail mcrd 
LEFT JOIN t591_new.market_community_agent_bid_record mcbr on mcrd.record_id=mcbr.id and mcrd.user_id=mcbr.user_id 
LEFT JOIN t591_new.market_community_bid_rules mcr on mcbr.`community_id`=mcr.community_id -- and mcbr.period_id=mcr.period_id
LEFT JOIN t591_new.`market_community` mc on mcrd.community_id=mc.id 
left JOIN t591_new.area_region ar on mcr.`regionid`=ar.id
left JOIN t591_new.`area_section` ase on mcr.sectionid=ase.id 
LEFT JOIN t591_new.market_community_agent_order mco on mcrd.oid=mco.id 
LEFT JOIN t591_new.market_voucher_use mvu on mcrd.user_id=mvu.user_id and mcrd.oid=mvu.oid and mvu.oid!=0
LEFT join t591_new.market_voucher mv on mvu.voucher_id=mv.id
LEFT join t591_new.market_voucher_config mvc on mv.config_id=mvc.id 
WHERE mcrd.created_at>='2023-08-21' and mcbr.parent_id!=0
and (mcrd.created_at>=DATE_SUB(CURDATE(),INTERVAL 2 DAY) or mcrd.updated_at>=DATE_SUB(CURDATE(),INTERVAL 2 DAY));
SELECT * FROM `t591_new`.`market_community_agent_bid_record_detail` WHERE created_at>='2023-08-21' LIMIT 10
#表访问类型使用索引候选索引预扫行数过滤后
1market_community_agent_bid_record_detailrangeidx_created_atidx_created_at3,568,860100.0%

6. SELECT COUNT(*) AS total FROM t591_ivr.ivr_ext_service_call_t591 as a LEFT JOIN t591_ivr.ivr_ext_usr_number as b ON a.number = b.number AND a.send_id = b.send_i —— 523 次 × 10.23s = 1.49h

SELECT COUNT(*) AS total FROM t591_ivr.`ivr_ext_service_call_t591` as a LEFT JOIN t591_ivr.`ivr_ext_usr_number` as b ON a.number = b.number AND a.send_id = b.send_id WHERE 1 AND b.the_type=8 AND b.the_id='105149' AND a.status IN('answer','busy','cancel','noanswer') AND a.start_time<='1789919999';
ALTER TABLE `t591_ivr`.`ivr_ext_service_call_t591` ADD INDEX `idx_the_type` (`the_type`);

7. select start_time, user_host, query_time, lock_time, rows_sent, rows_examined, db, sql_text from mysql.slow_log WHERE start_time >= DATE_SUB(NOW(), INTERVAL ? M —— 180 次 × 27.54s = 1.38h

select start_time, user_host, query_time, lock_time, rows_sent, rows_examined, db, sql_text from mysql.slow_log WHERE start_time >= DATE_SUB(NOW(), INTERVAL 5 MINUTE) AND start_time <= NOW()
ALTER TABLE `mysql`.`slow_log` ADD INDEX `idx_start_time` (`start_time`);

8. select * from t591.house_rel where user_id = ? and status = ? and closed = ? order by refreshtime desc limit ?; —— 14 次 × 336.91s = 1.31h

select * from `t591`.`house_rel` where `user_id` = 3736 and `status` = 2 and `closed` = 0 order by `refreshtime` desc limit 30;
select * from `t591`.`house_rel` where `user_id` = 3736 and `status` = 2 and `closed` = 0 order by `refreshtime` desc limit 30;
#表访问类型使用索引候选索引预扫行数过滤后
1house_rel⚠️ 全索引扫描refreshtimeuser_id,sc21,5830.0%

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)。
编号对象建议
P1?.user_profile_latest(81×669.3s)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; DDL: ALTER TABLE user_profile_latest ADD INDEX idx_create_tim (create_time);
P2t591.sale(1,795×4.2s)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; DDL: ALTER TABLE t591.sale ADD INDEX idx_start_time (start_time);; JOIN 两侧列改为同类型直连(如int列配int列), 或新增冗余绑定列建索引
P3t591.sale(3,972×1.7s)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; DDL: ALTER TABLE t591.sale ADD INDEX idx_status_closed_community__kind_posttime (status, closed, community_id, kind, posttime);
P4?.im_conversations(2,010×3.0s)改写为 JOIN/EXISTS 并验证子查询能下推; 该实例无 MCP 映射, 建议在库上手动 EXPLAIN 复核
P5t591_new.market_community_agent_bid_record_detail(1×5789.2s)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
P6t591_ivr.ivr_ext_service_call_t591(523×10.2s)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; DDL: ALTER TABLE t591_ivr.ivr_ext_service_call_t591 ADD INDEX idx_the_type (the_type);
P7mysql.slow_log(180×27.5s)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; DDL: ALTER TABLE mysql.slow_log ADD INDEX idx_start_time (start_time);
P8t591.house_rel(14×336.9s)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
T1Top1(同 P5 对象) 单条最慢 1.61h,user=bi t591_new.market_community_agent_bid_record_detail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; bi/导出类: 限流降频、移从库/离线跑, 避免高峰占用主库
T2Top2 单条最慢 28.1min,user=databasus_backup tw591_gateway.verify_log结合 SQL 文本与执行计划人工复核; 考虑降频/缓存; bi/导出类: 限流降频、移从库/离线跑, 避免高峰占用主库
T3Top3 单条最慢 21.0min,user=databasus_backup t5_pop_recmd.user_profile_latest结合 SQL 文本与执行计划人工复核; 考虑降频/缓存; bi/导出类: 限流降频、移从库/离线跑, 避免高峰占用主库

*采集脚本 .agents/scripts/mysql_slow_prod_report.py,中间数据 outputs/slow_report_prod591_20260921.json;全程只读。*