Windows下Redis的安装使用教程

本文主要为大家介绍缓存技术中的一种redis的安装和使用，供大家参考，具体内容如下

一、下载redis for windows

在网络中搜索redis fow windows,就可以下载redis的压缩包。解压包。

会发现其中有32位和64位的不同版本的包，根据需要，使用对应的压缩包即可。

二、解压

我使用的是redisbin_x64.zip的压缩包，将其解压到redis的文件夹中。

解压之后，会发现内容只有一些.exe的文件。到这里，redis就算做好了一半了。

三、配置

在redis下新建一个conf的文件夹，并创建 redis.conf 文本文件。将一下内容复制到配置文件中。

# redis configuration file example 
 
# by default redis does not run as a daemon. use 'yes' if you need it. 
# note that redis will write a pid file in /var/run/redis.pid when daemonized. 
# 是否以后台进程的形式运行，默认为no 
daemonize no 
 
# when run as a daemon, redis write a pid file in /var/run/redis.pid by default. 
# you can specify a custom pid file location here. 
# 如果指定以后台形式执行，则需要指定一个pid文件 
pidfile /var/run/redis.pid 
 
# accept connections on the specified port, default is 6379 
#监听端口号 
port 6379 
 
# if you want you can bind a single interface, if the bind option is not 
# specified all the interfaces will listen for connections. 
# 绑定主机ip 
# bind 127.0.0.1 
 
# close the connection after a client is idle for n seconds (0 to disable) 
# 客户端空闲超时时间，设置为0，则没有超时。过了空闲时间，则会将客户端的连接关闭 
timeout 300 
 
# set server verbosity to 'debug' 
# it can be one of: 
# debug (a lot of information, useful for development/testing) 
# notice (moderately verbose, what you want in production probably) 
# warning (only very important / critical messages are logged) 
# 日志记录等级 
loglevel debug 
 
# specify the log file name. also 'stdout' can be used to force 
# the demon to log on the standard output. note that if you use standard 
# output for logging but daemonize, logs will be sent to /dev/null 
# 日志记录方式 
logfile stdout 
 
# set the number of databases. the default database is db 0, you can select 
# a different one on a per-connection basis using select <dbid> where 
# dbid is a number between 0 and 'databases'-1 
# 可用数据库数目 
databases 16 
 
################################ snapshotting ################################# 
# 
# save the db on disk: 
# 
# save <seconds> <changes> 
# 
# will save the db if both the given number of seconds and the given 
# number of write operations against the db occurred. 
# 
# in the example below the behaviour will be to save: 
# after 900 sec (15 min) if at least 1 key changed 
# after 300 sec (5 min) if at least 10 keys changed 
# after 60 sec if at least 10000 keys changed 
save 900 1 
save 300 10 
save 60 10000 
 
# compress string objects using lzf when dump .rdb databases? 
# for default that's set to 'yes' as it's almost always a win. 
# if you want to save some cpu in the saving child set it to 'no' but 
# the dataset will likely be bigger if you have compressible values or keys. 
# 存储到本地数据库时，是否需要压缩数据 
rdbcompression yes 
 
# the filename where to dump the db 
#本地数据名称 
dbfilename dump.rdb 
 
# for default save/load db in/from the working directory 
# note that you must specify a directory not a file name. 
# 本地数据库存放路径 
dir ./ 
 
################################# replication ################################# 
 
# master-slave replication. use slaveof to make a redis instance a copy of 
# another redis server. note that the configuration is local to the slave 
# so for example it is possible to configure the slave to save the db with a 
# different interval, or to listen to another port, and so on. 
# 当该服务为从服务时，设置主服务的ip地址和端口号 
# 
# slaveof <masterip> <masterport> 
 
# if the master is password protected (using the "requirepass" configuration 
# directive below) it is possible to tell the slave to authenticate before 
# starting the replication synchronization process, otherwise the master will 
# refuse the slave request. 
# 当该服务为从服务时，设置主服务的连接密码 
# 
# masterauth <master-password> 
 
################################## security ################################### 
 
# require clients to issue auth <password> before processing any other 
# commands. this might be useful in environments in which you do not trust 
# others with access to the host running redis-server. 
# 
# this should stay commented out for backward compatibility and because most 
# people do not need auth (e.g. they run their own servers). 
# 连接密码 
# 
# requirepass foobared 
 
################################### limits #################################### 
 
# set the max number of connected clients at the same time. by default there 
# is no limit, and it's up to the number of file descriptors the redis process 
# is able to open. the special value '0' means no limts. 
# once the limit is reached redis will close all the new connections sending 
# an error 'max number of clients reached'. 
# 最大客户端连接数，默认不设置 
# 
# maxclients 128 
 
# don't use more memory than the specified amount of bytes. 
# when the memory limit is reached redis will try to remove keys with an 
# expire set. it will try to start freeing keys that are going to expire 
# in little time and preserve keys with a longer time to live. 
# redis will also try to remove objects from free lists if possible. 
# 
# if all this fails, redis will start to reply with errors to commands 
# that will use more memory, like set, lpush, and so on, and will continue 
# to reply to most read-only commands like get. 
# 
# warning: maxmemory can be a good idea mainly if you want to use redis as a 
# 'state' server or cache, not as a real db. when redis is used as a real 
# database the memory usage will grow over the weeks, it will be obvious if 
# it is going to use too much memory in the long run, and you'll have the time 
# to upgrade. with maxmemory after the limit is reached you'll start to get 
# errors for write operations, and this may even lead to db inconsistency. 
# 设置最大内存，达到最大内存设置后，redis线尝试清楚已到期或即将到期的key,当此方法处理后，达到最大内存设置，将不能在进行写入操作。 
# 
# maxmemory <bytes> 
 
############################## append only mode ############################### 
 
# by default redis asynchronously dumps the dataset on disk. if you can live 
# with the idea that the latest records will be lost if something like a crash 
# happens this is the preferred way to run redis. if instead you care a lot 
# about your data and don't want to that a single record can get lost you should 
# enable the append only mode: when this mode is enabled redis will append 
# every write operation received in the file appendonly.log. this file will 
# be read on startup in order to rebuild the full dataset in memory. 
# 
# note that you can have both the async dumps and the append only file if you 
# like (you have to comment the "save" statements above to disable the dumps). 
# still if append only mode is enabled redis will load the data from the 
# log file at startup ignoring the dump.rdb file. 
# 
# the name of the append only file is "appendonly.log" 
# 
# important: check the bgrewriteaof to check how to rewrite the append 
# log file in background when it gets too big. 
# 设置redis服务器在每次操作完成后，是否更新日志操作，如果关闭，可能会在断电时导致一段时间内的数据丢失， 
# 因为redis本身同步数据文件是按照上面的save条件来同步的，所以有的数据会在一段时间内存储于内存中。 
 
appendonly no 
 
# 更新日志文件名 
# appendfilename appendonly.aof 
 
# the fsync() call tells the operating system to actually write data on disk 
# instead to wait for more data in the output buffer. some os will really flush 
# data on disk, some other os will just try to do it asap. 
# 
# redis supports three different modes: 
# 
# no: don't fsync, just let the os flush the data when it wants. faster. 
# always: fsync after every write to the append only log . slow, safest. 
# everysec: fsync only if one second passed since the last fsync. compromise. 
# 
# the default is "always" that's the safer of the options. it's up to you to 
# understand if you can relax this to "everysec" that will fsync every second 
# or to "no" that will let the operating system flush the output buffer when 
# it want, for better performances (but if you can live with the idea of 
# some data loss consider the default persistence mode that's snapshotting). 
# 更新日志条件,有三个可选值: 
 
appendfsync always 
# appendfsync everysec 
# appendfsync no 
 
############################### advanced config ############################### 
 
# glue small output buffers together in order to send small replies in a 
# single tcp packet. uses a bit more cpu but most of the times it is a win 
# in terms of number of queries per second. use 'yes' if unsure. 
#glueoutputbuf yes 
 
# use object sharing. can save a lot of memory if you have many common 
# string in your dataset, but performs lookups against the shared objects 
# pool so it uses more cpu and can be a bit slower. usually it's a good 
# idea. 
# 
# when object sharing is enabled (shareobjects yes) you can use 
# shareobjectspoolsize to control the size of the pool used in order to try 
# object sharing. a bigger pool size will lead to better sharing capabilities. 
# in general you want this value to be at least the double of the number of 
# very common strings you have in your dataset. 
# 
# warning: object sharing is experimental, don't enable this feature 
# in production before of redis 1.0-stable. still please try this feature in 
# your development environment so that we can test it better. 
 
# shareobjects no 
# shareobjectspoolsize 1024 
 
# 是否使用虚拟内存 
#vm-enabled no; 
 
# 虚拟内存文件路径,不能多个redis共享 
# vm-swap-file /tmp/redis.swap 
 
# 将所有大于vm-max-memory 的数据存入虚拟内存。无论vm-max-memory值大小，所有的索引数据都是内存数据。 
# 如果将vm-max-memory设置为0，则所有的数据都存放在磁盘。 
# vm-max-memory 0 

四、启动redis服务器

使用一下命令启动 redis服务器。

redis-server.exe conf/redis.conf

启动成功之后，你会看到如下的提示:

五、连接redis服务器

使用redis自带的命令，能够连接服务器。

redis-cli.exe -h localhost -p 6379

连接成功之后，会提示以下内容:

这个时候，你就能够使用redis的一下指令操作数据。其他指令，请在网上具体查看一下。

以上就是本文的全部内容，希望对大家的学习有所帮助。