response = execute_low_level('HGET','redis:key','hash:key', host='localhost', port=6379) But as I said before,redis.Redisis the way to go in 99.9% of cases. you dont need worry about it when you use ConnectionPool.look at the source code: defexecute_command(self, *args, **opti...
1 #!/usr/bin/env python 2 # -*- coding:utf-8 -*- 3 4 import redis 5 6 pool = redis.ConnectionPool(host='192.168.22.132', port=6379) 7 r = redis.Redis(connection_pool=pool) 8 9 # pipe = r.pipeline(transaction=False) 10 pipe = r.pipeline(transaction=True) 11 12 pipe.set('...
连接创建,调用的是ConnectionPool的get_connection:pool.get_connection(command_name, **options) connection = self ._available_connections.pop()),否则创建一个连接( connection = self .make_connection()): 释放连接:pool.release(conn) 连接池对象调用release方法, 将连接从_in_use_connections 放回 _availab...
import redis # 导入redis模块,通过python操作redis 也可以直接在redis主机的服务端操作缓存数据库 pool = redis.ConnectionPool(host='localhost', port=6379, decode_responses=True) # host是redis主机,需要redis服务端和客户端都起着 redis默认端口是6379 r = redis.Redis(connection_pool=pool) r.set('gender...
from redisimportConnectionPool,Redis #获取redis服务器连接 defgetRedis():whileTrue:try:pool=ConnectionPool(host='192.168.8.211',port=6379,db=0,password=None,decode_responses=True,health_check_interval=30)redis=Redis(connection_pool=pool)redis.ping()except Exceptionase:print('redis连接失败,正在尝试重...
connection=self.make_connection()self._in_use_connections.add(connection)try:# ensure this connection is connected to Redisconnection.connect()# connections that the pool provides should be ready to send# a command. if not, the connection was either returned to the# pool before all data has ...
4.执行Python 代码 (代码来源:极客时间) #!/usr/bin/env python #-*-coding:utf-8-*- # @Author : clover # @Time : 2019/9/17 8: import redis import time print (redis.__file__) #创建redis连接 pool=redis.ConnectionPool(host='localhost',port=6379) ...
redis-python使用connection pool来管理对一个redis server的所有连接,避免每次建立、释放连接的开销。默认,每个Redis实例都会维护一个自己的连接池。可以直接建立一个连接池,然后作为参数Redis,这样就可以实现多个Redis实例共享一个连接池 import redis # 设计模式:https://www.cnblogs.com/liuqingzheng/p/10038958.html...
ConnectionPool(host='localhost', port=6379, decode_responses=True) r = redis.Redis(connection_pool=pool) r.set('food', 'mutton', ex=3) # key是"food" value是"mutton" 将键值对存入redis缓存 print(r.get('food')) # mutton 取出键food对应的值 2.px - 过期时间(豪秒) 这里过期时间是3豪...
pool = redis.ConnectionPool(connection_class=YourConnectionClass, your_arg='...', ...) 解析器Parsers redis-py有两种paser类,PythonParser和HiredisParser。默认的,redis-py会试图使用HiredisParser如果已安装hiredis模块,且否则使用PythonParser。使用Hiredis可以大大提高解析返回结果的速度。