统计最近N秒内的QPS值(包括每秒select，insert等值)

mysql> select variable_name,sum(per_sec) as qps from (select straight_join   lower(gs0.variable_name) as variable_name,  (gs1.variable_value - gs0.variable_value)/5 as per_sec from (     select variable_name ,variable_value     from information_schema.global_status where variable_name in ('com_select','com_update','com_insert','com_replace','com_delete')     union all     select '',sleep(5) from dual   ) as gs0    join information_schema.global_status gs1 using (variable_name)) t  group by variable_name with rollup;

+---------------+---------+
| variable_name | qps     |
+---------------+---------+
| com_delete    |       0 |
| com_insert    |     2.2 |
| com_replace   |       0 |
| com_select    | 11524.8 |
| com_update    |       3 |
| NULL          |   11530 |
+---------------+---------+
6 rows in set (5.00 sec)

统计db启动以来的qps值，慢查询数量等信息

mysql> \s
--------------
mysql  Ver 14.14 Distrib 5.5.35, for Linux (x86_64) using readline 5.1


Connection id: 98313987
Current database: udb
Current user: ucloud@172.23.0.48
SSL: Not in use
Current pager: stdout
Using outfile: ''
Using delimiter: ;
Server version: 5.5.35-log MySQL Community Server (GPL) by Remi
Protocol version: 10
Connection: 172.23.9.201 via TCP/IP
Server characterset: utf8
Db     characterset: utf8
Client characterset: utf8
Conn.  characterset: utf8
TCP port: 3206
Uptime: 274 days 1 hour 22 min 29 sec


Threads: 172  Questions: 7559640986  Slow queries: 150149138  Opens: 7799  Flush tables: 15  Open tables: 973  Queries per second avg: 319.261

以上这篇超简单的qps统计方法(推荐)就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。