鄙人蠢，读不懂redis源码～
有一天用redis-py连上Redis备用服务器，想看一下某类型的key有多少个。
rds = redis.Redis(ip, host)
print len(rds.keys('xxx_*'))
最后有大概400w个，阻塞了很久才算出来结果。
令我疑惑的是，这个客户端进程CPU占用率一直在100%以上（为什么会超过100%我也不知道），反倒内存占用率不高。
理论上keys的运算结果应该是服务端计算出来的，客户端接收数据顶多就是内存消耗多点儿，为什么实际情况中客户端CPU占用率如此之高，客户端自己做了什么奇怪的计算？
PHPz2017-04-21 11:17:47
Traversing matches is definitely slow. The author has said that try not to use the keys command
伊谢尔伦2017-04-21 11:17:47
The reason for the high CPU is mainly decoding the transmission format and converting it into a python object
PHP中文网2017-04-21 11:17:47
Are you using top to watch? More than 100% is probably because of the multi-core CPU
It is best not to use key. You can use redis-rdb-tools, a small tool of redis. Someone seems to have mentioned how to use it here
