python-memcached client 性能有关问题

python-memcached client 性能问题线上发现memcached偶发超过100ms的情况,刚开始以为是memcached server连

python-memcached client 性能问题

线上发现memcached偶发超过100ms的情况,刚开始以为是memcached server连接数过多的问题,后台测试发现本地也存在这个问题,应该是memcached-client实现导致大并发下,性能太差:

ab -n1000 -c20 http://127.0.0.1:7299/category/life/


python-memcached client 性能有关问题

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测试pylibmc性能很好,同样并发下面很少有耗时超过1毫秒的:


python-memcached client 性能有关问题

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pylibmc的连接数也很稳定:

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python-memcached client 性能有关问题

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# -*- coding: utf-8 -*-import timeimport pylibmcmc = pylibmc.Client(["127.0.0.1"])class Client():        def __init__(self, servers):        '''            忽略掉memcached的server配置,使用cache_server        '''            def get(self,key):        starttime = time.time()        val =  mc.get(key)        endtime = time.time()        exe_time = (endtime - starttime)*1000        if exe_time>100:            print "memcache3 get %s cost:%s"%(key,exe_time)        return val        def set(self, key, val, time=0, min_compress_len=100):        return mc.set(key,val,time)        def delete(self,key, time=0):        return mc.delete(key)        def incr(self, key, delta=1):        return mc.incr(key,delta)    
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由于dboss-client是模仿python memcached? client实现的,也很慢,通过打点发现,瓶颈在:

def readline(self):        buf = self.buffer        recv = self.socket.recv        while True:            index = buf.find('\r\n')            if index >= 0:                break            data = recv(4096)            if not data:                self.mark_dead('Connection closed while reading from %s'                        % repr(self))                self.buffer = ''                return ''            buf += data        self.buffer = buf[index+2:]        return buf[:index]

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dboss测试对比了性能,和原来的差别不大:

AB:

memcached:
Percentage of the requests served within a certain time (ms)
? 50%??? 785
? 66%??? 931
? 75%?? 1041
? 80%?? 1102
? 90%?? 1266
? 95%?? 1428
? 98%?? 1595
? 99%?? 1682
?100%?? 1811 (longest request)


dboss:
Percentage of the requests served within a certain time (ms)
? 50%??? 799
? 66%??? 918
? 75%??? 992
? 80%?? 1038
? 90%?? 1228
? 95%?? 1382
? 98%?? 1689
? 99%?? 1998
?100%?? 2432 (longest request)

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统计get的执行时间(20个并发)

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dboss:

total: 75243

?0.014%? 10ms? -? 563ms(count:1100)

99.986%? <10ms

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memcached:

total: 77508

0.014%? 10ms? -? 660ms(count:1100)

99.986%? <10ms

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redis:

total: 2400

10%? 4.2ms~127ms

90%? <4.2ms

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最后看看恐怖的pylibmc:


python-memcached client 性能有关问题

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