redis-5.0 Linux 下安装

Linux 下安装

下载地址:http://redis.io/download,下载最新稳定版本。

本教程使用的最新文档版本为 5.0,下载并安装:

$ wget http://download.redis.io/releases/redis-5.0.4.tar.gz
$ tar xzf redis-2.8.17.tar.gz
$ cd redis-2.8.17
$ make

make完后 redis-2.8.17目录下会出现编译后的redis服务程序redis-server,还有用于测试的客户端程序redis-cli,两个程序位于安装目录 src 目录下:

下面启动redis服务.

$ cd src
$ ./redis-server

注意这种方式启动redis 使用的是默认配置。也可以通过启动参数告诉redis使用指定配置文件使用下面命令启动。

$ cd src
$ ./redis-server ../redis.conf

redis.conf 是一个默认的配置文件。我们可以根据需要使用自己的配置文件。

启动redis服务进程后,就可以使用测试客户端程序redis-cli和redis服务交互了。 比如:

$ cd src
$ ./redis-cli
redis> set foo bar
OK
redis> get foo
"bar"

Ubuntu 下安装

在 Ubuntu 系统安装 Redis 可以使用以下命令:

$sudo apt-get update
$sudo apt-get install redis-server

启动 Redis

$ redis-server

查看 redis 是否启动?

$ redis-cli

以上命令将打开以下终端:

redis 127.0.0.1:6379>

127.0.0.1 是本机 IP ,6379 是 redis 服务端口。现在我们输入 PING 命令。

redis 127.0.0.1:6379> ping
PONG

以上说明我们已经成功安装了redis。

python操作redis-过期时间

#!/usr/bin/python
#!coding:utf-8

import time
import redis

if __name__ == “__main__”:
try:
conn=redis.StrictRedis(host=’192.168.80.41′)
conn.set(‘name’,’大白兔’)
conn.expire(‘name’,10)
#设置键的过期时间为10s
for item in range(12):
value=conn.get(‘name’)
if value != None:
print(value.decode(‘utf8′))
else:
print(‘the key has been deleted…’)
break
time.sleep(1)
except Exception as err:
print(err)

EXPIRE key seconds

Set a timeout on key. After the timeout has expired, the key will automatically be deleted. A key with an associated timeout is often said to be volatile in Redis terminology.

The timeout will only be cleared by commands that delete or overwrite the contents of the key, including DELSETGETSET and all the *STOREcommands. This means that all the operations that conceptually alter the value stored at the key without replacing it with a new one will leave the timeout untouched. For instance, incrementing the value of a key with INCR, pushing a new value into a list with LPUSH, or altering the field value of a hash with HSET are all operations that will leave the timeout untouched.

The timeout can also be cleared, turning the key back into a persistent key, using the PERSIST command.

If a key is renamed with RENAME, the associated time to live is transferred to the new key name.

If a key is overwritten by RENAME, like in the case of an existing key Key_Athat is overwritten by a call like RENAME Key_B Key_A, it does not matter if the original Key_A had a timeout associated or not, the new key Key_A will inherit all the characteristics of Key_B.

Note that calling EXPIRE/PEXPIRE with a non-positive timeout orEXPIREAT/PEXPIREAT with a time in the past will result in the key beingdeleted rather than expired (accordingly, the emitted key event will be del, not expired).

Refreshing expires

It is possible to call EXPIRE using as argument a key that already has an existing expire set. In this case the time to live of a key is updated to the new value. There are many useful applications for this, an example is documented in the Navigation session pattern section below.

Differences in Redis prior 2.1.3

In Redis versions prior 2.1.3 altering a key with an expire set using a command altering its value had the effect of removing the key entirely. This semantics was needed because of limitations in the replication layer that are now fixed.

EXPIRE would return 0 and not alter the timeout for a key with a timeout set.

Return value

Integer reply, specifically:

  • 1 if the timeout was set.
  • 0 if key does not exist.

Examples

redis> SET mykey “Hello”

"OK"

redis> EXPIRE mykey 10

(integer) 1

redis> TTL mykey

(integer) 10

redis> SET mykey “Hello World”

"OK"

redis> TTL mykey

(integer) -1
redis> 

Pattern: Navigation session

Imagine you have a web service and you are interested in the latest N pagesrecently visited by your users, such that each adjacent page view was not performed more than 60 seconds after the previous. Conceptually you may consider this set of page views as a Navigation session of your user, that may contain interesting information about what kind of products he or she is looking for currently, so that you can recommend related products.

You can easily model this pattern in Redis using the following strategy: every time the user does a page view you call the following commands:

MULTI
RPUSH pagewviews.user:<userid> http://.....
EXPIRE pagewviews.user:<userid> 60
EXEC

If the user will be idle more than 60 seconds, the key will be deleted and only subsequent page views that have less than 60 seconds of difference will be recorded.

This pattern is easily modified to use counters using INCR instead of lists using RPUSH.

Appendix: Redis expires

Keys with an expire

Normally Redis keys are created without an associated time to live. The key will simply live forever, unless it is removed by the user in an explicit way, for instance using the DEL command.

The EXPIRE family of commands is able to associate an expire to a given key, at the cost of some additional memory used by the key. When a key has an expire set, Redis will make sure to remove the key when the specified amount of time elapsed.

The key time to live can be updated or entirely removed using the EXPIREand PERSIST command (or other strictly related commands).

Expire accuracy

In Redis 2.4 the expire might not be pin-point accurate, and it could be between zero to one seconds out.

Since Redis 2.6 the expire error is from 0 to 1 milliseconds.

Expires and persistence

Keys expiring information is stored as absolute Unix timestamps (in milliseconds in case of Redis version 2.6 or greater). This means that the time is flowing even when the Redis instance is not active.

For expires to work well, the computer time must be taken stable. If you move an RDB file from two computers with a big desync in their clocks, funny things may happen (like all the keys loaded to be expired at loading time).

Even running instances will always check the computer clock, so for instance if you set a key with a time to live of 1000 seconds, and then set your computer time 2000 seconds in the future, the key will be expired immediately, instead of lasting for 1000 seconds.

How Redis expires keys

Redis keys are expired in two ways: a passive way, and an active way.

A key is passively expired simply when some client tries to access it, and the key is found to be timed out.

Of course this is not enough as there are expired keys that will never be accessed again. These keys should be expired anyway, so periodically Redis tests a few keys at random among keys with an expire set. All the keys that are already expired are deleted from the keyspace.

Specifically this is what Redis does 10 times per second:

  1. Test 20 random keys from the set of keys with an associated expire.
  2. Delete all the keys found expired.
  3. If more than 25% of keys were expired, start again from step 1.

This is a trivial probabilistic algorithm, basically the assumption is that our sample is representative of the whole key space, and we continue to expire until the percentage of keys that are likely to be expired is under 25%

This means that at any given moment the maximum amount of keys already expired that are using memory is at max equal to max amount of write operations per second divided by 4.

How expires are handled in the replication link and AOF file

In order to obtain a correct behavior without sacrificing consistency, when a key expires, a DEL operation is synthesized in both the AOF file and gains all the attached replicas nodes. This way the expiration process is centralized in the master instance, and there is no chance of consistency errors.

However while the replicas connected to a master will not expire keys independently (but will wait for the DEL coming from the master), they’ll still take the full state of the expires existing in the dataset, so when a replica is elected to master it will be able to expire the keys independently, fully acting as a master.