首先连接上mysql：
$ mysql -h 192.168.0.x -P3306 -uusername -p123456
进入Mysql之后，查询general_log：
mysql> SHOW VARIABLES LIKE "general_log%"; +------------------+----------------------------+ | Variable_name | Value | +------------------+----------------------------+ | general_log | OFF | | general_log_file | /var/run/mysqld/mysqld.log | +------------------+----------------------------+ 2 rows in set (0.00 sec)
如果这个时候general_log是关闭的，可用命令设置为ON：
mysql> SET GLOBAL general_log = 'ON'; Query OK, 0 rows affected (0.00 sec)
同理也可以设置文件路径：
mysql> SET GLOBAL general_log_file = '/var/run/mysqld/mysqld.log'; Query OK, 0 rows affected (0.06 sec)
打开/var/run/mysqld/mysqld.log文件看到的是如下展示：
Time Id Command Argument 190529 22:26:07 4 Query REPLACE INTO * 1 Query REPLACE INTO * 4 Query REPLACE INTO * 1 Query REPLACE INTO *
从该文件可以看出来，秒数发生改变的时候，才会打印带日期的日志。那么可用通过该文件两个带日期的行之间的行数差距，即可算出其QPS：
- 筛选带有日期的行，带上行号转存到文件
$ grep "^1905" -n mysqld.log > Line.txt
- 编写一个Python脚本，计算QPS
1 #coding=utf-8 2 import os,sys 3 4 if __name__ == '__main__': 5 file = open('Line.txt', 'r') 6 if file == None: 7 print "open file failed" 8 sys.exit(1) 9 outFile = open("QPS.csv", 'w') 10 outFile.write("Time,QPS"); 11 lastLine = 0 12 for line in file: 13 params = line.split(' ') 14 if len(params) < 2: 15 continue 16 17 time = params[1] 18 lineAndDate = params[0] 19 subParams = lineAndDate.split(':') 20 if len(subParams) < 2: 21 continue 22 line = int(subParams[0]) 23 date = subParams[1] 24 fullDate = "%s %s" %(date, time) 25 QPS = line - lastLine 26 lastLine = line 27 28 outFile.write(" %s,%d"%(fullDate,QPS)) 29 outFile.close() 30 file.close()
然后执行脚本，计算结果导出到QPS.csv：
