单节点Redis使用 Python pipline大批量插入数据

方法一：

import redis

import time

filename = 'redis_resulit.txt'

def openPool():

    pool = redis.ConnectionPool(host='10.200.22.110', port=16379)

    redis.Connection

    return redis.Redis(connection_pool=pool)

def showResult(key,value,result):

    with open(filename,'a') as f:

        outmsg = "key%s value%s :%s" % (key,value,result)

        f.write(outmsg+'\n')

def main():

    r=openPool()

    #pipe = r.pipeline()

    pipe = r.pipeline(transaction=False) #集群模式下使用pipeline

    num=0

    start=time.time()

    with open('redis_commands.txt') as f:

        for line in f:

            num +=1

            pipe.set(line.split()[1],line.split()[2])

            if num%10000==0:

                print("num:",num)

                pipe.execute()

                print("执行时间：",round(time.time()-start,2))

                start=time.time()

    pipe.execute()

  

if __name__ == '__main__':

  main()

方法二：

vi  redis_commands.txt

SET Key0 Value0
SET Key1 Value1
SET Key2 Value2
SET Key3 Value3
SET Key4 Value4
SET Key5 Value5
SET Key6 Value6 

cat redis_commands.txt | redis-cli -h 192.168.127.130 -p 6379 [-a "password"] -n 0 --pipe