因为MySQL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：
#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]
执行结果如下：
