轻松安装Redis解压版（redis解压版安装）

Redis是一个基于内存的开源数据库，具有高性能和可靠性，广泛应用于Web应用程序中。如果您正在准备使用Redis，那么您需要知道如何安装和配置Redis。在这篇文章中，我们将分享如何轻松安装Redis解压版。

下载Redis解压版

您需要从Redis官方网站下载Redis解压版。在网站上选择最新的稳定版本，并下载适合您操作系统的压缩包。由于Redis支持多个操作系统，您可以根据自己的操作系统下载并安装Redis。

解压Redis压缩包

当您下载完Redis压缩包后，您需要解压缩Redis压缩包到您的计算机上的一个文件夹或目录。您可以使用命令行或Windows资源管理器解压缩Redis。在Windows操作系统上，您可以右键单击Redis压缩包，然后单击“提取到当前文件夹”。

配置Redis

配置Redis有多种方式，而您可能面临的最常见的配置是管理Redis端口和密码。这可以通过编辑Redis配置文件来完成。

要配置Redis，请打开解压缩的Redis文件夹，在其中找到“redis.conf”文件，并用文本编辑器打开。在文件中，您可以找到以下内容。

# 可以指定绑定的主机IP地址

# bind 127.0.0.1

# 设置端口

# port 6379

# 设置密码

# requirepass foobared

通过取消注释并编辑这些设置，您可以配置实际上运行Redis的方式。确保您保存了更改。

启动Redis

完成配置之后，您可以启动Redis。在Redis解压版中，您可以使用以下命令来启动Redis。

$ cd /path/to/redis

$ ./redis-server

激活Redis客户端连接

一旦Redis正在运行，您可以连接到Redis服务器，并使用Redis客户端建立连接。Redis客户端可以使用命令行方式或UI工具来连接到Redis服务器。在命令行命令# redis-cli命令下，Redis客户端可以启动以下命令来连接Redis实例。

$ redis-cli -h 127.0.0.1

您也可以使用该命令：# code :$ redis-cli -p 6379，以连接到不同的端口。

结论

Redis由于其高性能和可靠性而被广泛使用。但是，正确配置和安装Redis非常重要。在本文中，我们介绍了如何轻松安装Redis解压版。您可以通过从Redis官网下载，解压缩Redis文件夹，配置Redis，启动Redis等步骤来完成Redis的安装。

【代码】

# redis.conf sample configuration file.

# The filename of the dump file.

dbfilename dump.rdb

# The working directory.

dir /var/lib/redis

# Uncomment the next line to bind to all interfaces instead.

# bind 127.0.0.1

# If you need to free up memory fast then it’s useful to

# enable the no-appendfsync-on-rewrite option.

#

# The default is to use appendfsync always.

# no-appendfsync-on-rewrite no

# Redis 2.0 has a “Fast eviction” feature that allows to avoid

# doing a full scan of the memory to reclm more space.

# It is turned on by default and it is replaced by an improved

# implementation in Redis 2.2 that is turned off by default.

#

# If you have very big databases chances are fast eviction is

# hurting you even with Redis 2.2 so it’s suggested that you try

# the improved LRU implementation. To do so uncomment the following

# line. Note that after doing this your memory usage may grow at

# a faster pace than it currently does so you should keep an eye

# on it if you switch to the improved LRU implementation.

#

# maxmemory-policy volatile-lru

# Uncomment the following line to use the Redis 2.4 eviction

# instead of the Redis 2.0 one. it is slower but more accurate.

# eviction-policy testing

# Set the max number of clients connected at the same time.

# The default is 10000 clients, 9998 are normal clients and 2

# are reserved for superuser on ACL-enabled servers.

# MaxClients 10000

# Set the max memory cache size each Redis worker can use.

# This value should match your avlable Memory.

# MaxMemory 5G

# Maxseconds to wt before a responding when a client connects.

# ClientTimeout 300

# Max number of keys that the worker thread can handle at the same time.

# MaxKeysPerWorker 1000

# Max number of idle workers.

# MaxIdleWorkers 16

# Max number of subscribers (not including master) per Redis node.

# MaxSubscribersPerNode 10

# Maxmemory memory usage policy.

# MaxmemoryUsedPolicy volatile-lru

# Maxmemory samples policy.

# MaxmemorySamples 5

# Maxservice time in MS.

# MaxServiceTime 10

# Maxretry threshold.

# MaxRetry 3

# Maxretry interval in MS.

# MaxRetryInterval 100

# Maxnode key count.

# MaxNodeKeyCount 1200000

# Maxnode memory size in bytes.

# MaxNodeSize 524288000

# Maxnode ACL tokens.

# MaxNodeACL 10000

# Maxnode ACL users.

# MaxNodeACLUsers 10000

# Maxnode ACL passwords.

# MaxNodeACLPasswords 10000

# Maxnode ACL authorizations.

# MaxNodeACLAuthorizations 10000

# Maxnode ACL patterns.

# MaxNodeACLPatterns 1000

# Maxnode ACL allowed commands.

# MaxNodeACLAllowedCommands 10000

# Maxnode ACL allowed patterns.

# MaxNodeACLAllowedPatterns 1000

# Maxnode ACL roles.

# MaxNodeACLRoles 10

# Maxnode ACL rules.

# MaxNodeACLRules 100

# Maxnode ACL rule length.

# MaxNodeACLRulesLength 512

# Maxnode slaves.

# MaxNodeSlaves 100

# Maxnode connected clients.

# MaxNodeConnectedClients 100

# Maxnode commands in batch.

# MaxNodeCommandsInBatch 1000

# Maxnode adds in batch.

# MaxNodeAddsInBatch 1000

# Maxnode removes in batch.

# MaxNodeRemovesInBatch 1000

# Maxreplica backlog size in bytes.

# MaxReplicaBacklogSize 1000000

# Maxreplica databases.

# MaxReplicaDatabases 256

# Maxreplica queue size.

# MaxReplicaQueueSize 20

# Maxinput buffer size.

# MaxInputBufferSize 1024

# Disable these logs.

# DisableLogs 4 21 14 25

# Save snapshot only if both the given number of seconds and the given

# number of writes occurred, or if you stop the server without being able to

# execute a SHUTDOWN because of a crash or power outage.

#

# For example to perform a snapshotting every 60 seconds if at least 1000

# keys changed hands use:

#

# save 60 1000

#

# Note: you can disable saving at all commenting all the “save” lines.

save 900 1

save 300 10

save 60 10000

# stop-writes-on-bgsave-error no

# Set alternative event loop implementation (if avlable on your system).

#

# This event loop uses a epoll/kqueue/port/etc. in order to wake up the

# Redis server when some event occurs, instead of using a poll(2) loop.

#

# Redis must be compiled with a low level socket library in order to support

# such an event loop, otherwise the server will refuse to start.

#linux-kernel-events

#eventloop-library ae

# To enable db hash indexes uncomment the following line.

# hash_indexes_autoload yes

# The client can use AUTH to authenticate with the server.

#

# AUTH disable

# AUTH mypassword

# Uncomment the following line if you want to disable the less useful

# commands in the default Redis command set.

# weakcommands no

# Optionally create a pidfile.

# pidfile /var/run/redis.pid

# Set the max number of slaves that the master can support.

# This value must be configured in the master config file.

# max-slaves 100

# Set the IFACE ip address of the slave you want to listen to.

# slave-iface 127.0.0.1

# Set the timeout for read and write client connections to the given value.

# Default is 0 for client connections, so the system timeout is used (300 seconds).

# timeout 0

# Enable an optional in-memory data structure that can be used to cache data

# in a very optimized way (memory used, read/write efficiency) for particular