📋 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 20,565 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 prod8591)2026-09-17

统计概览

项目值
统计范围2026-09-17 00:00:00 ~ 23:59:59(Asia/Shanghai)
环境prod-8591
慢日志条数(ES mysql-slow_*)59,408 条(指纹聚合取样 20,565 条,覆盖率 35%,超过 2 万条上限截断)
Top10 单条最慢5,631.82 s(user=bi,ZHDX_t8591_107)
非备份模式最大累计2.87h(2892 次 × 3.58 s)
备份模式(user 含 backup/databasus_backup)646 条、累计 9.91h(单独标注,不触发深析)
监控巡检类(jmysql/proxysql_monitor 或 information_schema)1,107 条、累计 36.6min(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0/8(0%) ⚠️ 规则退化告警:explain 获取率过低,慢因多为兜底';其他',请检查 MCP 实例映射/超时
数据来源ES mysql-slow_*(@timestamp)+ MCP 只读 MySQL(describe_schema/explain)
生成时间2026-09-18 09:52(Asia/Shanghai)

Top10 明细(按单条耗时)

#耗时(s)库.表行数 sent/examineduser / server慢因分类
15,631.82None.t8_mall_stat163,727,933 / 327,455,866bi / ZHDX_t8591_107其他(需结合 SQL 与执行计划人工判断)
23,829.94None.t8_mall_stat163,901,993 / 327,803,986bi / ZHDX_t8591_107其他(需结合 SQL 与执行计划人工判断)
33,595.56None.t8_ware_order3,004,176 / 36,899,223bi / ZHDX_t8591_107扫描行数远大于返回行数(36,899,223/3,004,176)
43,402.93a8591.t8_ware_item_desc23,134,159 / 23,134,159databasus_backup / ZHDX_t8591_52其他(需结合 SQL 与执行计划人工判断)
53,058.53None.ware_item_history70 / 32,017,791bi / ZHDX_t8591_107扫描行数远大于返回行数(32,017,791/70)
63,031.27None.t8_mall_stat163,839,043 / 327,678,086bi / ZHDX_t8591_107其他(需结合 SQL 与执行计划人工判断)
73,024.71None.t8_mall_stat163,964,794 / 327,929,588bi / ZHDX_t8591_107其他(需结合 SQL 与执行计划人工判断)
82,572.66None.t8_ware_order_item21,035,581 / 21,035,581bi / ZHDX_t8591_107其他(需结合 SQL 与执行计划人工判断)
92,511.92None.ware_item_history1,161,308 / 10,029,499bi / ZHDX_t8591_107其他(需结合 SQL 与执行计划人工判断)
102,493.85t8_game.t8_embeddings_cache718,137 / 718,137databasus_backup / ZHDX_t8591_91其他(需结合 SQL 与执行计划人工判断)

高频慢查询模式(指纹聚合,取样 20,565 条)

按条数 Top5

#模式(指纹摘要)条数平均(s)累计serveruser
1SELECT c.* FROM t8_user_id_card_number_list AS c WHERE c.img_type = ? AND c.status = ? AND c.image != ? AND (c.ocr_result = ? or c.ocr_result is null) ORDER BY c.id ASC,c.id LIMIT ?;2,8923.582.87hZHDX_t8591_143,ZHDX_t8591_16,ZHDX_t8591_a8591
2
select t1_design_img.id, t1_design_img.views, t1_design_img.collection, t1_design_img.favor_count, t1_design_img.comment_count, t1_design_img.pin_share_count + …(点击展开完整 SQL)
select t1_design_img.id, t1_design_img.views, t1_design_img.collection, t1_design_img.favor_count, t1_design_img.comment_count, t1_design_img.pin_share_count + t1_design_img.fb_share_count + t1_design_img.line_share_count as share_count, t1_design_img.downs + t1_design_img.save_count + t1_design_img.screenshot_count as download_count from t1_design_img inner join t1_design_work on t1_design_img.w_id = t1_design_work.id where t1_design_work.check_status = ? and t1_design_work.is_show = ? and t1_design_work.is_hide = ? and t1_design_work.publish_time <= ? and t1_design_img.id > ? order by t1_design_img.id asc limit ?;
2,8391.411.11hZHDX_t8591_73a591
3SELECT id FROM ware_item WHERE id > ? AND status > ? AND (actionTime BETWEEN ? AND ? ) ORDER BY id ASC LIMIT ?;1,0801.4726.4minZHDX_t8591_61a8591
4
SELECT g.id AS game_id, g.name, pg.id AS platform_game_id, pg.platform_app_id FROM t8_platform_games pg INNER JOIN t8_games g ON g.id = pg.game_id WHERE pg.plat …(点击展开完整 SQL)
SELECT g.id AS game_id, g.name, pg.id AS platform_game_id, pg.platform_app_id FROM t8_platform_games pg INNER JOIN t8_games g ON g.id = pg.game_id WHERE pg.platform_id = ? AND pg.enable = ? AND pg.id > ? AND pg.platform_app_id IS NOT NULL AND pg.platform_app_id <> ? AND g.type = ? AND g.enable = ? AND NOT EXISTS ( SELECT ? FROM t8_platform_game_media pgm WHERE pgm.platform_game_id = pg.id AND pgm.scene_type = ? LIMIT ? ) ORDER BY pg.id ASC LIMIT ?;
1,0801.8332.9minZHDX_t8591_136a8591
5
SELECT t.table_schema, t.table_name, column_name, auto_increment, pow(?, case data_type when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? en …(点击展开完整 SQL)
SELECT t.table_schema, t.table_name, column_name, auto_increment, pow(?, case data_type when ? then ? when ? then ? when ? then ? when ? then ? when ? then ? end+(column_type like ?))-? as max_int FROM information_schema.columns c STRAIGHT_JOIN information_schema.tables t ON BINARY t.table_schema = c.table_schema AND BINARY t.table_name = c.table_name WHERE c.extra = ? AND t.auto_increment IS NOT NULL;
🔍监控
8452.0128.4minZHDX_t8591_143,ZHDX_t8591_16,ZHDX_t8591_jmysql

按累计耗时 Top5

#模式条数平均(s)累计serveruser
1SELECT c.* FROM t8_user_id_card_number_list AS c WHERE c.img_type = ? AND c.status = ? AND c.image != ? AND (c.ocr_result = ? or c.ocr_result is null) ORDER BY c.id ASC,c.id LIMIT ?;2,8923.582.87hZHDX_t8591_143,ZHDX_t8591_16,ZHDX_t8591_a8591
2SELECT * FROM t8_mall_stat ORDER BY created_at DESC;24331.552.41hZHDX_t8591_107bi
3select wallet, sum(if(type = ?, amount, ?)) - sum(if(type = ?, amount, ?)) as balance from a8591.t8_money_trade_log where account = ? and created_at <= ? group by wallet;14655.042.23hZHDX_t8591_61a8591
4
select t1_design_img.id, t1_design_img.views, t1_design_img.collection, t1_design_img.favor_count, t1_design_img.comment_count, t1_design_img.pin_share_count + …(点击展开完整 SQL)
select t1_design_img.id, t1_design_img.views, t1_design_img.collection, t1_design_img.favor_count, t1_design_img.comment_count, t1_design_img.pin_share_count + t1_design_img.fb_share_count + t1_design_img.line_share_count as share_count, t1_design_img.downs + t1_design_img.save_count + t1_design_img.screenshot_count as download_count from t1_design_img inner join t1_design_work on t1_design_img.w_id = t1_design_work.id where t1_design_work.check_status = ? and t1_design_work.is_show = ? and t1_design_work.is_hide = ? and t1_design_work.publish_time <= ? and t1_design_img.id > ? order by t1_design_img.id asc limit ?;
2,8391.411.11hZHDX_t8591_73a591
5
SELECT a.user_id AS buyerId, IFNULL(c.sellUser,IFNULL(d.sellUser,NULL)) AS sellerId, a.order_number AS orderNo, IFNULL(c.id,IFNULL(d.id,NULL)) AS txNo, a.order_ …(点击展开完整 SQL)
SELECT a.user_id AS buyerId, IFNULL(c.sellUser,IFNULL(d.sellUser,NULL)) AS sellerId, a.order_number AS orderNo, IFNULL(c.id,IFNULL(d.id,NULL)) AS txNo, a.order_status AS orderStatus, IFNULL(c.status,IFNULL(d.status,NULL)) AS txStatus, IFNULL(e.type,IFNULL(f.type,NULL)) AS gameType, CONVERT(CAST(IFNULL(e.name,IFNULL(f.name,NULL)) AS BINARY) USING utf8) AS gameName, CONVERT(CAST(IFNULL(g.type_name,IFNULL(h.type_name,NULL)) AS BINARY) USING utf8) AS goodsType, CONVERT(CAST(IFNULL(c.title,IFNULL(d.title,NULL)) AS BINARY) USING utf8) AS goodsTitle, a.pay_by AS payMethod, a.user_agent AS orderClient, IFNULL(c.price,IFNULL(d.price,NULL)) AS price, a.voucher_money AS couponAmount, i.active_id AS activityName, i.coupon_id AS couponId, IF(IFNULL(j.set_type,IFNULL(k.set_type,NULL)) = ?,?,?) AS IF_special, IF(a.order_createtime NOT LIKE ?, a.order_createtime, NULL) AS createTime, IF(a.order_paytime NOT LIKE ?, a.order_paytime, NULL) AS payTime, FROM_UNIXTIME( IFNULL(IF(c.actionTime=?,NULL,c.actionTime),IFNULL(IF(d.actionTime=?,NULL,d.actionTime),NULL)), ? ) AS actionTime, IF(a.order_canceltime NOT LIKE ?, a.order_canceltime, NULL) AS cancelTime FROM t8_ware_order a LEFT JOIN t8_ware_order_item b ON a.id = b.order_id LEFT JOIN ware_item c ON b.ware_id = c.id LEFT JOIN ware_item_history d ON b.ware_id = d.id LEFT JOIN gameList e ON c.gameName = e.id LEFT JOIN gameList f ON d.gameName = f.id LEFT JOIN t8_ware_type g ON c.wareType = g.id LEFT JOIN t8_ware_type h ON d.wareType = h.id LEFT JOIN t8_user_voucher i ON a.voucher_id = i.id LEFT JOIN ( SELECT * FROM ware_set WHERE set_type = ? ) j ON c.id = j.ware_id LEFT JOIN ( SELECT * FROM ware_set WHERE set_type = ? ) k ON d.id = k.ware_id WHERE a.order_createtime >= ? AND a.order_createtime < ? ORDER BY a.order_createtime DESC;
13595.5659.9minZHDX_t8591_107bi
备份模式全天 646 条 / 9.91h,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 c.* FROM t8_user_id_card_number_list AS c WHERE c.img_type = ? AND c.status = ? AND c.image != ? AND (c.ocr_result = ? or c.ocr_result is null) ORDER BY —— 2,892 次 × 3.58s = 2.87h

SELECT c.* FROM t8_user_id_card_number_list AS c WHERE c.img_type = 2 AND c.status = 2 AND c.image != '' AND (c.ocr_result = '' or c.ocr_result is null) ORDER BY c.id ASC,`c`.`id` LIMIT 1;
ALTER TABLE `t8_user_id_card_number_list` ADD INDEX `idx_img_type_status_ocr_result` (`img_type`, `status`, `ocr_result`);

2. SELECT * FROM t8_mall_stat ORDER BY created_at DESC; —— 2 次 × 4331.55s = 2.41h

SELECT *
FROM t8_mall_stat
ORDER BY created_at DESC;

3. select wallet, sum(if(type = ?, amount, ?)) - sum(if(type = ?, amount, ?)) as balance from a8591.t8_money_trade_log where account = ? and created_at <= ? group —— 146 次 × 55.04s = 2.23h

select wallet, sum(if(type = 2, amount, 0)) - sum(if(type = 1, amount, 0)) as balance from `a8591`.`t8_money_trade_log` where `account` = 'A0100' and `created_at` <= '2026-09-17 00:05:50' group by `wallet`;
ALTER TABLE `a8591`.`t8_money_trade_log` ADD INDEX `idx_account_created_at` (`account`, `created_at`);

4. select t1_design_img.id, t1_design_img.views, t1_design_img.collection, t1_design_img.favor_count, t1_design_img.comment_count, t1_design_img.pin_share_count + —— 2,839 次 × 1.41s = 1.11h

select `t1_design_img`.`id`, `t1_design_img`.`views`, `t1_design_img`.`collection`, `t1_design_img`.`favor_count`, `t1_design_img`.`comment_count`, t1_design_img.pin_share_count + t1_design_img.fb_share_count + t1_design_img.line_share_count as share_count, t1_design_img.downs + t1_design_img.save_count + t1_design_img.screenshot_count as download_count from `t1_design_img` inner join `t1_design_work` on `t1_design_img`.`w_id` = `t1_design_work`.`id` where `t1_design_work`.`check_status` = 1 and `t1_design_work`.`is_show` = 1 and `t1_design_work`.`is_hide` = 0 and `t1_design_work`.`publish_time` <= '2026-09-17 00:04:51' and `t1_design_img`.`id` > 26551 order by `t1_design_img`.`id` asc limit 100;
ALTER TABLE `t1_design_img` ADD INDEX `idx_check_stat_is_show_is_hide_publish_ti` (`check_status`, `is_show`, `is_hide`, `publish_time`);

5. SELECT a.user_id AS buyerId, IFNULL(c.sellUser,IFNULL(d.sellUser,NULL)) AS sellerId, a.order_number AS orderNo, IFNULL(c.id,IFNULL(d.id,NULL)) AS txNo, a.order_ —— 1 次 × 3595.56s = 59.9min

SELECT
	a.user_id AS buyerId,
	IFNULL(c.sellUser,IFNULL(d.sellUser,NULL)) AS sellerId,
	a.order_number AS orderNo,
	IFNULL(c.id,IFNULL(d.id,NULL)) AS txNo,
	a.order_status AS orderStatus,
	IFNULL(c.status,IFNULL(d.status,NULL)) AS txStatus,
  IFNULL(e.type,IFNULL(f.type,NULL)) AS gameType,
  CONVERT(CAST(IFNULL(e.name,IFNULL(f.name,NULL)) AS BINARY) USING utf8) AS gameName,
  CONVERT(CAST(IFNULL(g.type_name,IFNULL(h.type_name,NULL)) AS BINARY) USING utf8) AS goodsType,
  CONVERT(CAST(IFNULL(c.title,IFNULL(d.title,NULL)) AS BINARY) USING utf8) AS goodsTitle,
	a.pay_by AS payMethod,
	a.user_agent AS orderClient,
	IFNULL(c.price,IFNULL(d.price,NULL)) AS price,
	a.voucher_money AS couponAmount,
	i.active_id AS activityName,
	i.coupon_id AS couponId,
	IF(IFNULL(j.set_type,IFNULL(k.set_type,NULL)) = 'specifyBuyer','yes','no') AS IF_special,
	IF(a.order_createtime NOT LIKE '0000-00-00 00:00:00', a.order_createtime, NULL) AS createTime,
	IF(a.order_paytime NOT LIKE '0000-00-00 00:00:00', a.order_paytime, NULL) AS payTime,
	FROM_UNIXTIME( IFNULL(IF(c.actionTime=0,NULL,c.actionTime),IFNULL(IF(d.actionTime=0,NULL,d.actionTime),NULL)), '%Y-%m-%d %H:%i:%s' ) AS actionTime,
	IF(a.order_canceltime NOT LIKE '0000-00-00 00:00:00', a.order_canceltime, NULL) AS cancelTime
FROM
	t8_ware_order a
	LEFT JOIN t8_ware_order_item b ON a.id = b.order_id
	LEFT JOIN ware_item c ON b.ware_id = c.id
	LEFT JOIN ware_item_history d ON b.ware_id = d.id
	LEFT JOIN gameList e ON c.gameName = e.id
	LEFT JOIN gameList f ON d.gameName = f.id
	LEFT JOIN t8_ware_type g ON c.wareType = g.id
	LEFT JOIN t8_ware_type h ON d.wareType = h.id
	LEFT JOIN t8_user_voucher i ON a.voucher_id = i.id
	LEFT JOIN ( SELECT * FROM ware_set WHERE set_type = 'specifyBuyer' ) j ON c.id = j.ware_id
	LEFT JOIN ( SELECT * FROM ware_set WHERE set_type = 'specifyBuyer' ) k ON d.id = k.ware_id
WHERE 
	a.order_createtime >= '2026-01-01' AND a.order_createtime < '2027-01-01'
ORDER BY 
	a.order_createtime DESC;
ALTER TABLE `t8_ware_order` ADD INDEX `idx_set_type_id_order_crea` (`set_type`, `id`, `order_createtime`);

6. SELECT order_id, ware_id FROM t8_ware_order_item; —— 1 次 × 2572.66s = 42.9min

SELECT 
	order_id,
    ware_id
FROM 
	t8_ware_order_item;

7. SELECT a.buyUser AS buyerId, a.sellUser AS sellerId, c.order_number AS orderNo, a.id AS txNo, c.order_status AS orderStatus, a.status AS txStatus, d.type AS gam —— 1 次 × 2479.80s = 41.3min

SELECT
	a.buyUser AS buyerId,
	a.sellUser AS sellerId,
	c.order_number AS orderNo,
	a.id AS txNo,
	c.order_status AS orderStatus,
	a.status AS txStatus,
	d.type AS gameType,
	CONVERT ( CAST( d.NAME AS BINARY ) USING utf8 ) AS gameName,
	CONVERT ( CAST( e.type_name AS BINARY ) USING utf8 ) AS goodsType,
	CONVERT ( CAST( a.title AS BINARY ) USING utf8 ) AS goodsTitle,
	c.pay_by AS payMethod,
	c.user_agent AS orderClient,
	a.price AS price,
	f.money AS couponAmount,
	f.active_id AS activityName,
	f.coupon_id AS couponId,
	IF ( g.set_type = 'specifyBuyer', 'yes', 'no' ) AS IF_special,
	IF ( c.order_createtime != '0000-00-00 00:00:00', c.order_createtime, NULL ) AS createTime,
	IF ( c.order_paytime != '0000-00-00 00:00:00', c.order_paytime, NULL ) AS payTime,
	FROM_UNIXTIME( IF ( a.actionTime = 0, NULL, a.actionTime ), '%Y-%m-%d %H:%i:%s' ) AS actionTime,
	IF ( c.order_canceltime != '0000-00-00 00:00:00', c.order_canceltime, NULL ) AS cancelTime
FROM
	ware_item a
	LEFT JOIN t8_ware_order_item b ON a.id = b.ware_id 
	LEFT JOIN t8_ware_order c ON b.order_id = c.id
	LEFT JOIN gameList d ON a.gameName = d.id
	LEFT JOIN t8_ware_type e ON a.wareType = e.id
	LEFT JOIN t8_user_voucher f ON b.ware_id = f.id
	LEFT JOIN ( SELECT * FROM ware_set WHERE set_type = 'specifyBuyer' ) g ON a.id = g.ware_id
WHERE
	a.postTime >= 1546272000 
	AND c.order_number IS NULL
ORDER BY 
	actionTime DESC;
ALTER TABLE `ware_item` ADD INDEX `idx_set_type_id_postTime` (`set_type`, `id`, `postTime`);

8. SELECT GROUP_CONCAT(mall_id) AS del_mall_ids FROM (SELECT mall_id FROM t8_ware_mall_logging WHERE action_time BETWEEN ? AND ? AND action_type = ? LIMIT ?) a; —— 299 次 × 7.92s = 39.5min

SELECT GROUP_CONCAT(mall_id) AS del_mall_ids FROM (SELECT mall_id FROM t8_ware_mall_logging WHERE action_time BETWEEN '2026-08-20 04:30:02' AND '2026-09-03 04:30:02' AND action_type = 'del' LIMIT 100) a;
ALTER TABLE `t8_ware_mall_logging` ADD INDEX `idx_action_typ` (`action_type`);

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?.t8_user_id_card_number_list(2,892×3.6s)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 t8_user_id_card_number_list ADD INDEX idx_img_type_status_ocr_result (img_type, status, ocr_result);
P2?.t8_mall_stat(2×4331.5s)改分页/按需列, 避免 SELECT * 整表捞取; 大导出走离线通道
P3a8591.t8_money_trade_log(146×55.0s)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 a8591.t8_money_trade_log ADD INDEX idx_account_created_at (account, created_at);
P4?.t1_design_img(2,839×1.4s)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 t1_design_img ADD INDEX idx_check_stat_is_show_is_hide_publish_ti (check_status, is_show, is_hide, publish_time);
P5?.t8_ware_order(1×3595.6s)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 t8_ware_order ADD INDEX idx_set_type_id_order_crea (set_type, id, order_createtime);
P6?.t8_ware_order_item(1×2572.7s)结合 SQL 文本与执行计划人工复核; 考虑降频/缓存
P7?.ware_item(1×2479.8s)结合 SQL 文本与执行计划人工复核; 考虑降频/缓存
P8?.t8_ware_mall_logging(299×7.9s)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; DDL: ALTER TABLE t8_ware_mall_logging ADD INDEX idx_action_typ (action_type);
T1Top1(同 P2 对象) 单条最慢 1.56h,user=bi ?.t8_mall_stat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
T2Top2(同 P2 对象) 单条最慢 1.06h,user=bi ?.t8_mall_stat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(同 P5 对象) 单条最慢 59.9min,user=bi ?.t8_ware_order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

*采集脚本 .agents/scripts/mysql_slow_prod_report.py,中间数据 outputs/slow_report_prod8591_20260917.json;全程只读。*