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

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