MySQL的監控方式也有很多種：

慢查詢日志slow_log

優點：MySQL自帶，記錄的慢SQL語句完整；

缺點：需要登錄mysql服務器；如果slow_log文件太大，還需要利用其他工具分析日志，比如mysqldumpslow；

performance_shema

優點：MySQL自帶，只要有查詢權限即可；

缺點：記錄的SQL語句可能不完整(SQL語句過長，依稀記得是這樣)

授權語句：grant select on performance_schema.* to 'test'@'%';

常用查詢語句：

****查詢平均響應時間最多****

SELECT AVG_TIMER_WAIT/1000000000000 as AVG_TIMER_WAIT_S,essbd.*

FROM performance_schema.events_statements_summary_by_digest essbd

ORDER BY AVG_TIMER_WAIT DESC limit 100;

****查詢行讀最多****

SELECT SUM_ROWS_EXAMINED/COUNT_STAR as AVG_ROWS_EXAMINED,essbd.*

FROM performance_schema.events_statements_summary_by_digest essbd

ORDER BY SUM_ROWS_EXAMINED/COUNT_STAR DESC limit 100;

**** 查詢執行次數最多 ****

SELECT *

FROM performance_schema.events_statements_summary_by_digest

ORDER BY COUNT_STAR??DESC limit 100;

**** 查詢排序次數最多 ****

SELECT SUM_SORT_ROWS/COUNT_STAR as AVG_SORT_ROWS,essbd.*

FROM performance_schema.events_statements_summary_by_digest essbd

ORDER BY SUM_SORT_ROWS/COUNT_STAR DESC limit 100;

**** 查詢返回結果集最多 ****

SELECT SUM_ROWS_SENT/COUNT_STAR as AVG_ROWS_SENT, essbd.*

FROM performance_schema.events_statements_summary_by_digest essbd

ORDER BY SUM_ROWS_SENT/COUNT_STAR??DESC limit 100;

**** 查詢是否無索引 ****

SELECT SUM_NO_INDEX_USED/COUNT_STAR as AVG_NO_INDEX_USED, essbd.*

FROM performance_schema.events_statements_summary_by_digest essbd

ORDER BY SUM_NO_INDEX_USED/COUNT_STAR??DESC limit 100;

**** 查詢鎖定時間最多 ****

SELECT SUM_LOCK_TIME/COUNT_STAR/1000000000000 as AVG_LOCK_TIME, essbd.*

FROM performance_schema.events_statements_summary_by_digest essbd

ORDER BY SUM_LOCK_TIME/COUNT_STAR??DESC limit 100;

**** 查詢IO最多 ****

SELECT AVG_TIMER_READ/1000000000000 as AVG_TIMER_READ_S,

AVG_TIMER_FETCH /1000000000000 as AVG_TIMER_FETCH_S,tiwsbtt.*

FROM performance_schema.table_io_waits_summary_by_table tiwsbtt

order by AVG_TIMER_READ desc limit 100;

druid monitor

如果服務端是用的druid連接池，那么可以配置druid monitor來進行監控。

優點：從應用層直接進行監控，還可以看到連接池的使用情況；

缺點：需要額外配置druid monitor，如果是微服務框架，貌似每個服務都需要獨立去查看監控數據；

總結

以上是生活随笔為你收集整理的mysql的topsql_TOP SQL监控之MySQL篇的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。