关于python语言使用redis时,连接是否需要关闭的问题

Python中使用Redis时,连接是由连接池管理的,通常无需手动关闭。Redis的StrictRedis实例不直接提供close或quit方法,但连接池的disconnect方法可强制断开所有连接。当对象超出作用域时,连接会自动清理。了解如何通过连接池管理Redis连接。

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python操作完redis,需要关闭连接的吧,怎么关闭呢

1人赞   回复

 

 redis-server会关闭空闲超时的连接
redis.conf中可以设置超时时间:
timeout 300

 

2017.10.21 11:16   回复

 

 如果使用连接池就不需要关闭。

 

当我们用Redis和StrictRedis创建连接时,其实内部实现并没有主动给我创建一个连接,我们获得的连接是连接池提供的连接,这个连接由连接池管理,所以我们无需关注连接是否需要主动释放的问题。另外连接池有自己的关闭连接的接口,一旦调用该接口,所有连接都将被关闭。

附:

Redis in python, how do you close the connection?

up vote 0 down vote favorite
1
https://github.com/andymccurdy/redis-py

I know in ruby we use the quit() method. I can't find anything here for python

python:

import redis
r = redis.StrictRedis(host='localhost', port=6379, db=0)
r.set('foo', 'bar')
print r.get('foo')
#r.close() doesn't work
ruby

require "redis"
redis = Redis.new
redis.set("mykey", "hello world")
puts redis.get("mykey")
redis.quit()
python redis
share|improve this question
asked Jul 21 at 22:20

nevermind
555319
 
 
Looking at the source code, StrictRedis doesn't implement close or quit methods. – jonrsharpe Jul 21 at 22:33
 
is it okay that we don't close the connection, I don't think I understand connection to redis ... – nevermind Jul 21 at 22:39
 
@nevermind I see r.client_kill, but to find out, which client to kill, you have to list them by r.client_list(). Checking $ netstat | grep 6379 I saw, the connection got into "closing" state. There is also r.execute_command("QUIT"). But I am still not sure, if it does, what you ask for. – Jan Vlcinsky Jul 21 at 22:44
 
do we need to kill it? can I safely use StrictRedis and not worry about the connection? – nevermind Jul 21 at 23:48
add a comment |
2 Answers 2
active oldest votes
up vote 1 down vote accepted
Just use redis.Redis. It uses a connection pool under the hood, so you don't have to worry about managing at that level.

If you absolutely have to use a low level connection, you need to do the response handling that is normally done for you by redis.Redis.

Here's an example of executing a single command using the low level connection:

def execute_low_level(command, *args, **kwargs):
connection = redis.Connection(**kwargs)
try:
connection.connect()
connection.send_command(command, *args)
response = connection.read_response()
if command in redis.Redis.RESPONSE_CALLBACKS:
return redis.Redis.RESPONSE_CALLBACKS[command](response)
return response
finally:
del connection
Example usage:

response = execute_low_level(
'HGET', 'redis:key', 'hash:key', host='localhost', port=6379)
But as I said before, redis.Redis is the way to go in 99.9% of cases.

share|improve this answer
answered Jul 22 at 0:09

SpiritMachine
972411
 
 
add a comment |

up vote 0 down vote
StrictRedis doesn't implement connection semantics itself, instead it uses a connection pool, which is available as a property of a StrictRedis instance: S.connection_pool. The connection_pool object has a disconnect method to force an immediate disconnect of all connections in the pool if necessary, however when your StrictRedis object goes out of scope, the individual connections in the pool all clean themselves up without your intervention (see redis/connection.py:392-396)

share|improve this answer
edited Jul 22 at 7:13

answered Jul 21 at 22:41

sirlark
856615
 
 
If I decide to go with Strict, do I need to worry about the connection? – nevermind Jul 21 at 23:25
---------------------
作者:ysh_ysh
来源:优快云
原文:https://blog.youkuaiyun.com/woshikalz/article/details/40130555
版权声明:本文为博主原创文章,转载请附上博文链接!

 

 

手动关闭

r.connection_pool.disconnect()

 

转载于:https://www.cnblogs.com/ExMan/p/9807290.html

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