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) + "
" 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 ]) + ' ' + i[ 1 ] |
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