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NICE源码。
