tcpdump 学习(3):MySQL Query
在MySQL线上环境我们一般只打开了binary log,slow log,有时我们需要查看general log呢?因为该log记录所有的请求,打开该日志肯定给磁盘造成很大压力,IO能力有所下降,所以该日志线上一般不打开的,这就到tcpdump闪亮登场了。
tcpdump用法也不算复杂,输出就比较复杂了,如果非常熟悉TCP/IP协议,那么输出对于你来说就是小kiss啦。我们这里只关心MySQL的Query,所以输出还是非常简单,就是日常的查询语句。
1.简单使用(shell结合perl过滤查询)
[root@yayun-mysql-server ~]# cat query.sh
#!/bin/bash tcpdump -i any -s -l -w - dst port | strings | perl -e '
while(<>) { chomp; next if /^[^ ]+[ ]*$/;
if(/^(SELECT|UPDATE|DELETE|INSERT|SET|COMMIT|ROLLBACK|CREATE|DROP|ALTER|CALL)/i)
{
if (defined $q) { print "$q\n"; }
$q=$_;
} else {
$_ =~ s/^[ \t]+//; $q.=" $_";
}
}'
[root@yayun-mysql-server ~]#
关于各个参数说明请阅读文章最后给的链接。
执行上面脚本,在另外一个窗口执行查询,我使用了sysbench进行压力测试,最后抓取到的结果如下:
tcpdump: listening on any, link-type LINUX_SLL (Linux cooked), capture size bytes
{ @ H{ @ H` @ ?h 'f$ ?h ;f$ ?h Of$ ?h cf$ ?h wf$ ?h" f$ ?h# f% ?h# f% H| @ Lg @ ?h+ f% <X _ ?h/ f% ?h/ f% Ha @ #d +/ #d ?/ #d S/ #d g/ #d {/ Hh @ H} @ <e _ L| @ Hb @ ?h? f& ?hM f' ?hN f' ?hZ f( #d3 / H @ Hi @ <x _ <x _ H~ @ Hc @ H} @ S 5 r ,) r @) r T) r h) r v) r! ) ?h~ f+ r+ ) N9 O f+#: f+#: #dM / Lj @ Hd @ #d_ / SHOW TABLE STATUS LIKE 'sbtest'
SELECT c from sbtest where id=?
SELECT c from sbtest where id between ? and ?
SELECT SUM(K) from sbtest where id between ? and ?
SELECT c from sbtest where id between ? and ? order by c
SELECT DISTINCT c from sbtest where id between ? and ? order by c
UPDATE sbtest set k=k+ where id=?
UPDATE sbtest set c=? where id=?
DELETE from sbtest where id=?
INSERT INTO sbtest values(?,,' ','aaaaaaaaaaffffffffffrrrrrrrrrreeeeeeeeeeyyyyyyyyyy')
SELECT c from sbtest where id=?
SELECT c from sbtest where id between ? and ?
SELECT SUM(K) from sbtest where id between ? and ?
SELECT c from sbtest where id between ? and ? order by c
SELECT DISTINCT c from sbtest where id between ? and ? order by c
UPDATE sbtest set k=k+ where id=?
UPDATE sbtest set c=? where id=?
DELETE from sbtest where id=?
INSERT INTO sbtest values(?,,' ','aaaaaaaaaaffffffffffrrrrrrrrrreeeeeeeeeeyyyyyyyyyy')
SELECT c from sbtest where id=?
SELECT c from sbtest where id between ? and ?
SELECT SUM(K) from sbtest where id between ? and ?
SELECT c from sbtest where id between ? and ? order by c
SELECT DISTINCT c from sbtest where id between ? and ? order by c
UPDATE sbtest set k=k+ where id=?
UPDATE sbtest set c=? where id=?
DELETE from sbtest where id=?
INSERT INTO sbtest values(?,,' ','aaaaaaaaaaffffffffffrrrrrrrrrreeeeeeeeeeyyyyyyyyyy')
SELECT c from sbtest where id=?
SELECT c from sbtest where id between ? and ?
SELECT SUM(K) from sbtest where id between ? and ?
SELECT c from sbtest where id between ? and ? order by c
SELECT DISTINCT c from sbtest where id between ? and ? order by c
UPDATE sbtest set k=k+ where id=?
UPDATE sbtest set c=? where id=?
DELETE from sbtest where id=?
其实还有更简单的方法,那就是使用tcpflow
抓取数据的命令如下:
[root@yayun-mysql-server ~]# tcpflow -c -p -i any dst port | grep -i -E "select|insert|update|delete|replace" | sed 's%\(.*\)\([.]\{4\}\)\(.*\)%\3%'
输出结果如下:
tcpflow[]: listening on any
SELECT c from sbtest where id=?
SELECT c from sbtest where id between ? and ?
SELECT SUM(K) from sbtest where id between ? and ?
SELECT c from sbtest where id between ? and ? order by c
SELECT DISTINCT c from sbtest where id between ? and ? order by c
UPDATE sbtest set k=k+ where id=?
UPDATE sbtest set c=? where id=?
DELETE from sbtest where id=?
INSERT INTO sbtest values(?,,' ','aaaaaaaaaaffffffffffrrrrrrrrrreeeeeeeeeeyyyyyyyyyy')
SELECT c from sbtest where id=?
SELECT c from sbtest where id between ? and ?
SELECT SUM(K) from sbtest where id between ? and ?
SELECT c from sbtest where id between ? and ? order by c
SELECT DISTINCT c from sbtest where id between ? and ? order by c
UPDATE sbtest set k=k+ where id=?
UPDATE sbtest set c=? where id=?
DELETE from sbtest where id=?
INSERT INTO sbtest values(?,,' ','aaaaaaaaaaffffffffffrrrrrrrrrreeeeeeeeeeyyyyyyyyyy')
SELECT c from sbtest where id=?
SELECT c from sbtest where id between ? and ?
SELECT SUM(K) from sbtest where id between ? and ?
SELECT c from sbtest where id between ? and ? order by c
SELECT DISTINCT c from sbtest where id between ? and ? order by c
最后说说pt-query-digest,这工具包含在percona-toolkit,在分析慢查询方面是非常的好使,具体的用法大家自己前往官网查阅。
我们通过tcpdump抓包以后,通过--type tcpdump选项来分析一下,简单的用法如下:
[root@yayun-mysql-server ~]# tcpdump -s -x -nn -q -tttt -i any -c port > mysql.tcp.txt
tcpdump: verbose output suppressed, use -v or -vv for full protocol decode
listening on any, link-type LINUX_SLL (Linux cooked), capture size bytes
packets captured
packets received by filter
packets dropped by kernel
[root@yayun-mysql-server ~]#
然后使用pt-query-digest工具来进行分析一下,用法也比较简单
[root@yayun-mysql-server ~]# pt-query-digest --type tcpdump mysql.tcp.txt # 340ms user time, 50ms system time, 24.38M rss, 205.10M vsz
# Current date: Thu Jun ::
# Hostname: yayun-mysql-server
# Files: mysql.tcp.txt
# Overall: total, unique, 115.61 QPS, .02x concurrency _____________
# Time range: -- ::11.127883 to ::11.300885
# Attribute total min max avg % stddev median
# ============ ======= ======= ======= ======= ======= ======= =======
# Exec time 3ms 51us 862us 171us 568us 191us 84us
# Rows affecte
# Query size
# Warning coun # Profile
# Rank Query ID Response time Calls R/Call V/M Item
# ==== ================== ============= ===== ====== ===== =====
# 0x85FFF5AA78E5FF6A 0.0034 100.0% 0.0002 0.00 BEGIN # Query : 115.61 QPS, .02x concurrency, ID 0x85FFF5AA78E5FF6A at byte
# This item is included in the report because it matches --limit.
# Scores: V/M = 0.00
# Time range: -- ::11.127883 to ::11.300885
# Attribute pct total min max avg % stddev median
# ============ === ======= ======= ======= ======= ======= ======= =======
# Count
# Exec time 3ms 51us 862us 171us 568us 191us 84us
# Rows affecte
# Query size
# Warning coun
# String:
# Hosts 192.168.1.20
# Query_time distribution
# 1us
# 10us ################################################################
# 100us ####################################################
# 1ms
# 10ms
# 100ms
# 1s
# 10s+
BEGIN\G
[root@yayun-mysql-server ~]#
参考资料:
http://www.megalinux.net/using-tcpdump-for-mysql-query-logging/
http://www.xfocus.net/articles/200105/172.html
http://www.mysqlperformanceblog.com/2008/11/07/poor-mans-query-logging/
http://www.percona.com/doc/percona-toolkit/2.2/pt-query-digest.html
tcpdump 学习(3):MySQL Query的更多相关文章
- MySQl Study学习之--MySQl二进制日志管理
MySQl Study学习之--MySQl二进制日志管理 MySQL二进制日志(Binary Log) a.它包括的内容及作用例如以下: 包括了全部更新了数据或者已经潜在更新了数据(比方没 ...
- Discuz! X3搬家后UCenter出现UCenter info: MySQL Query Error解决方案
Discuz! X3 X2.5论坛搬家后 登录UCenter出现报错:UCenter info: MySQL Query ErrorSQL:SELECT value FROM [Table]vars ...
- MySQL Query Profile
MySQL Query Profiler, 可以查询到此 SQL 语句会执行多少, 并看出 CPU/Memory 使用量, 执行过程 System lock, Table lock 花多少时间等等.从 ...
- 前端学习数据库MYSQL
这篇文章主要写了 1.数据库MYSQL 2.基本上会遇到的所有SQL语句 数据库可视化软件------Navicat 数据库里边存放的是表,表与表之间是有关联的,而且可以对表进行相关操作(增,删,改, ...
- MySQL学习笔记-MySQL体系结构总览
MySQL体系结构总览 不管是用哪种数据库,了解数据库的体系结构都是极为重要的.MySQL体系结构主要由数据库和数据库实例构成. 数据库:物理操作系统文件或者其它文件的集合,在mysql中,数据库文件 ...
- Linux下安装MySQL管理工具MySQL Administrator和MySQL Query Browser(转载)
文章来源:http://blog.csdn.net/sunrier/article/details/7572299 Linux下MySQL Administrator和MySQL Query Brow ...
- Spring Boot 项目学习 (二) MySql + MyBatis 注解 + 分页控件 配置
0 引言 本文主要在Spring Boot 基础项目的基础上,添加 Mysql .MyBatis(注解方式)与 分页控件 的配置,用于协助完成数据库操作. 1 创建数据表 这个过程就暂时省略了. 2 ...
- MySQL Query Cache 相关的问题
最近经常有人问我 MySQL Query Cache 相关的问题,就整理一点 MySQL Query Cache 的内容,以供参考. 顾名思义,MySQL Query Cache 就是用来缓存和 Qu ...
- MySQL 总结篇 [在Oracle基础上学习的MySQL]
一.学习环境 MySQL 5.7社区版 Navicat for MySQL 百度网盘下载链接:https://pan.baidu.com/s/1yGnznwoZ8CaMgrCsDBhKAQ 二.MyS ...
- 今天来学习一下MySQl的 临时表,变量,行转列,预处理的一些相关技术的使用!
先来简单了解一下MySQL数据库有意思的简介 MySQL这个名字,起源不是很明确.一个比较有影响的说法是,基本指南和大量的库和工具带有前缀“my”已经有10年以上, 而且不管怎样,MySQL AB创始 ...
随机推荐
- 修改freemarker的ftl时,不重启tomcat的办法(使用了springMVC)
一.在使用Freemarker 时,需要在spring-mvc.xml 配置文件中作如下配置: <!-- 配置freeMarker的模板路径 --> <bean id="f ...
- linux下easy_install的安装与使用详解
Python中的easy_install工具用起来非常好用,它的作用类似于Php中的pear,或者Ruby中的gem,或者Perl中的cpan. 1.easy_install安装 如果想使用easy_ ...
- 基于SDN的IP RAN网络虚拟化技术
http://www.zte.com.cn/cndata/magazine/zte_technologies/2014/2014_4/magazine/201404/t20140421_422858. ...
- linux cfs 负载均衡
确定新的负载的时候,代码中给出的公式是: (old×(2^i-1) + new))/2^i 整理下来是: old + (new-old)/2^i i的范围是[1, 4],也就是说,i的层级越高,那么n ...
- Maven中mirrors和repository的关系
一.前言 之前没有搞清楚pom.xml里面配置的repositorys节点配置的仓库和mirrors里面配置的仓库的“镜像”间的关系,特意去搜索了相关内容,这边有篇文章讲得透彻,所以这边转载一下~ 二 ...
- MongoDB 存储日志数据
MongoDB 存储日志数据 https://www.cnblogs.com/nongchaoer/archive/2017/01/11/6274242.html 线上运行的服务会产生大量的运行及访问 ...
- Jprofiler分析WebSphere(配置WebSphereagent代理)
一. Windows+WebSphere+Jprofiler9 我们自己的windows机器监控本地的WebSphere,应该为服务器配置监控代理,供Jprofiler连接使用,具体步骤如下: 1 ...
- 【题解】CQOI2012交换棋子
感受到网络流的强大了……这道题目的关键在于: 前后颜色不变的,流入流出的次数相等:原本是黑色的最后变成了白色,流出比流入次数多1:原本是白色最后变成黑色,流入比流出次数多一.所以我们将每一点拆成3个点 ...
- [CF1076E]Vasya and a Tree
题目大意:给定一棵以$1$为根的树,$m$次操作,第$i$次为对以$v_i$为根的深度小于等于$d_i$的子树的所有节点权值加$x_i$.最后输出每个节点的值 题解:可以把操作离线,每次开始遍历到一个 ...
- 解析json方式之net.sf.json
前面转载了json解析的技术:fastjson,今天说下另外一种技术. 下载地址 本次使用版本:http://sourceforge.net/projects/json-lib/files/json- ...