Python查询MySQL慢日志

系统运维

1.1、安装依赖pymysql
cd /usr/local/src/
wget https://files.pythonhosted.org/packages/44/39/6bcb83cae0095a31b6be4511707fdf2009d3e29903a55a0494d3a9a2fac0/PyMysql-0.8.1.tar.gz
tar xf PyMYSQL-0.8.1.tar.gz
cd PyMySQL-0.8.1
python setup.py install
查看pymysql是否安装成功:
python

成都创新互联公司服务项目包括二连浩特网站建设、二连浩特网站制作、二连浩特网页制作以及二连浩特网络营销策划等。多年来,我们专注于互联网行业,利用自身积累的技术优势、行业经验、深度合作伙伴关系等,向广大中小型企业、政府机构等提供互联网行业的解决方案,二连浩特网站推广取得了明显的社会效益与经济效益。目前,我们服务的客户以成都为中心已经辐射到二连浩特省份的部分城市,未来相信会继续扩大服务区域并继续获得客户的支持与信任!

import pymysql
pymysql.VERSION
(0, 8, 1, None)
exit()

看到版本信息即为安装完成!
1.2、安装依赖MysqlDb
cd /usr/local/src/
wget https://sourceforge.net/projects/mysql-python/files/mysql-python/1.2.3/MySQL-python-1.2.3.tar.gz/download
tar xf download
cd MySQL-python-1.2.3
python setup.py build
python setup.py install

1.3、Python脚本
more /opt/shell/templates/mysql_slowlog.py
#!/usr/bin/python
import sys
import MySQLdb
import time
import datetime
import MySQLdb.cursors
mysql_ip = sys.argv[1]
mysql_user = sys.argv[2]
mysql_password = sys.argv[3]
query_time = "00:0" + sys.argv[4] + ":00"
start_time = sys.argv[5] + " 00:00:00"
end_time = sys.argv[5] + " 23:59:59"

db = MySQLdb.connect(host=mysql_ip, user=mysql_user, passwd=mysql_password, db="mysql", port=3306)
cur = db.cursor()
query = "select t.start_time,t.query_time,t.user_host,t.rows_sent,t.rows_examined,t.sql_text from mysql.slow_log t where t.start_time>=\'%s\' and t.start_time<\'%s\' and t.query_time >=\'%s\'" %(start_time,end_time,query_time)
cur.execute(query)
r = cur.fetchall()
for a in r:
start_time =a[0]
query_time = a[1]
user_host = a[2]
rows_sent = a[3]
rows_examinetd = a[4]
sql_text =a[5]
print "\\n"
print "%s\\t%s\\t%s\\t%d\\t%d\\t%s" %(start_time,query_time,user_host,rows_sent,rows_examinetd,sql_text)
db.close()
1.3.1、执行Python脚本:IP 用户 密码 超过2秒 查询的时间
python /opt/shell/templates/mysql_slowlog.py 10.0.0.12 root 7$JlI@cgZc5$rW7N 2 2019-12-119


新闻标题:Python查询MySQL慢日志
链接URL:http://ybzwz.com/article/cjspic.html