因为数据库增删改突然暴增,需要查询是那些表的操作特别频繁,写了一个用来分析bin-log的小工具,找出增删改查的表,并按照操作次数降序排列,以下是代码:
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#for mysql5.5 binlog import os,sys
#python binlog.py binglog-0001 '2013-07-01 00:00:00' '2013-07-02 00:00:00' def log_w( type ,text):
logfile = "%s.txt" % ( type ,text)
#now = time.strftime("%Y-%m-%d %H:%M:%S")
tt = str (text) + "\n"
f = open (logfile, 'a+' )
f.write(tt)
f.close()
logname = sys.argv[ 1 ]
start_time = sys.argv[ 2 ]
end_time = sys.argv[ 3 ]
comn = "/usr/bin/mysqlbinlog --start-datetime='%s' --stop-datetime='%s' %s" % (start_time,end_time,logname)
aa = os.popen(comn).readlines()
mylist = []
for a in aa:
if ( 'UPDATE' in a):
update = ' ' .join(a.split()[: 2 ])
mylist.append(update)
if ( 'INSERT INTO' in a):
update = ' ' .join(a.split()[: 3 ]).replace( "INTO " ,"")
mylist.append(update)
if ( 'DELETE from' in a):
update = ' ' .join(a.split()[: 3 ]).replace( "from " ,"")
mylist.append(update)
mylist.sort() bb = list ( set (mylist))
bb.sort() cc = []
for item in bb:
cc.append([mylist.count(item),(item)])
cc.sort() cc.reverse() for i in cc:
print str (i[ 0 ]) + '\t' + i[ 1 ]
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执行结果如下:
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