| 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) |
| # | 耗时(s) | 库.表 | 行数 sent/examined | user / server | 慢因分类 |
|---|---|---|---|---|---|
| 1 | 5,631.82 | None.t8_mall_stat | 163,727,933 / 327,455,866 | bi / ZHDX_t8591_107 | 其他(需结合 SQL 与执行计划人工判断) |
| 2 | 3,829.94 | None.t8_mall_stat | 163,901,993 / 327,803,986 | bi / ZHDX_t8591_107 | 其他(需结合 SQL 与执行计划人工判断) |
| 3 | 3,595.56 | None.t8_ware_order | 3,004,176 / 36,899,223 | bi / ZHDX_t8591_107 | 扫描行数远大于返回行数(36,899,223/3,004,176) |
| 4 | 3,402.93 | a8591.t8_ware_item_desc | 23,134,159 / 23,134,159 | databasus_backup / ZHDX_t8591_52 | 其他(需结合 SQL 与执行计划人工判断) |
| 5 | 3,058.53 | None.ware_item_history | 70 / 32,017,791 | bi / ZHDX_t8591_107 | 扫描行数远大于返回行数(32,017,791/70) |
| 6 | 3,031.27 | None.t8_mall_stat | 163,839,043 / 327,678,086 | bi / ZHDX_t8591_107 | 其他(需结合 SQL 与执行计划人工判断) |
| 7 | 3,024.71 | None.t8_mall_stat | 163,964,794 / 327,929,588 | bi / ZHDX_t8591_107 | 其他(需结合 SQL 与执行计划人工判断) |
| 8 | 2,572.66 | None.t8_ware_order_item | 21,035,581 / 21,035,581 | bi / ZHDX_t8591_107 | 其他(需结合 SQL 与执行计划人工判断) |
| 9 | 2,511.92 | None.ware_item_history | 1,161,308 / 10,029,499 | bi / ZHDX_t8591_107 | 其他(需结合 SQL 与执行计划人工判断) |
| 10 | 2,493.85 | t8_game.t8_embeddings_cache | 718,137 / 718,137 | databasus_backup / ZHDX_t8591_91 | 其他(需结合 SQL 与执行计划人工判断) |
| # | 模式(指纹摘要) | 条数 | 平均(s) | 累计 | server | user |
|---|---|---|---|---|---|---|
| 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 c.id ASC,c.id LIMIT ?; | 2,892 | 3.58 | 2.87h | ZHDX_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 ?; | 2,839 | 1.41 | 1.11h | ZHDX_t8591_73 | a591 |
| 3 | SELECT id FROM ware_item WHERE id > ? AND status > ? AND (actionTime BETWEEN ? AND ? ) ORDER BY id ASC LIMIT ?; | 1,080 | 1.47 | 26.4min | ZHDX_t8591_61 | a8591 |
| 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 ?; | 1,080 | 1.83 | 32.9min | ZHDX_t8591_136 | a8591 |
| 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; | 845 | 2.01 | 28.4min | ZHDX_t8591_143,ZHDX_t8591_16,ZHDX_t8591_ | jmysql |
| # | 模式 | 条数 | 平均(s) | 累计 | server | user |
|---|---|---|---|---|---|---|
| 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 c.id ASC,c.id LIMIT ?; | 2,892 | 3.58 | 2.87h | ZHDX_t8591_143,ZHDX_t8591_16,ZHDX_t8591_ | a8591 |
| 2 | SELECT * FROM t8_mall_stat ORDER BY created_at DESC; | 2 | 4331.55 | 2.41h | ZHDX_t8591_107 | bi |
| 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 by wallet; | 146 | 55.04 | 2.23h | ZHDX_t8591_61 | a8591 |
| 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 ?; | 2,839 | 1.41 | 1.11h | ZHDX_t8591_73 | a591 |
| 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; | 1 | 3595.56 | 59.9min | ZHDX_t8591_107 | bi |
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)。
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;
prod-8591/8591-aALTER TABLE `t8_user_id_card_number_list` ADD INDEX `idx_img_type_status_ocr_result` (`img_type`, `status`, `ocr_result`);
SELECT *
FROM t8_mall_stat
ORDER BY created_at DESC;
prod-8591/8591-aselect 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`;
prod-8591/8591-aALTER TABLE `a8591`.`t8_money_trade_log` ADD INDEX `idx_account_created_at` (`account`, `created_at`);
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;
prod-8591/100ALTER TABLE `t1_design_img` ADD INDEX `idx_check_stat_is_show_is_hide_publish_ti` (`check_status`, `is_show`, `is_hide`, `publish_time`);
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;
prod-8591/8591-aALTER TABLE `t8_ware_order` ADD INDEX `idx_set_type_id_order_crea` (`set_type`, `id`, `order_createtime`);
SELECT
order_id,
ware_id
FROM
t8_ware_order_item;
prod-8591/8591-aSELECT
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;
prod-8591/8591-aALTER TABLE `ware_item` ADD INDEX `idx_set_type_id_postTime` (`set_type`, `id`, `postTime`);
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;
prod-8591/8591-bALTER TABLE `t8_ware_mall_logging` ADD INDEX `idx_action_typ` (`action_type`);
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 |
| P3 | a8591.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); |
| T1 | Top1(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 |
| T2 | Top2(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 |
| T3 | Top3(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。*