Redis 简介
Redis 是完全开源免费的,遵守BSD协议,是一个高性能的key-value数据库。
Redis 与其他 key - value 缓存产品有以下三个特点:
- Redis支持数据的持久化,可以将内存中的数据保存在磁盘中,重启的时候可以再次加载进行使用。
- Redis不仅仅支持简单的key-value类型的数据,同时还提供list,set,zset,hash等数据结构的存储。
- Redis支持数据的备份,即master-slave模式的数据备份。
Redis 优势
- 性能极高 – Redis能读的速度是110000次/s,写的速度是81000次/s 。
- 丰富的数据类型 – Redis支持二进制案例的 Strings, Lists, Hashes, Sets 及 Ordered Sets 数据类型操作。
- 原子 – Redis的所有操作都是原子性的,意思就是要么成功执行要么失败完全不执行。单个操作是原子性的。多个操作也支持事务,即原子性,通过MULTI和EXEC指令包起来。
- 丰富的特性 – Redis还支持 publish/subscribe, 通知, key 过期等等特性。
Redis与其他key-value存储有什么不同?
Redis有着更为复杂的数据结构并且提供对他们的原子性操作,这是一个不同于其他数据库的进化路径。Redis的数据类型都是基于基本数据结构的同时对程序员透明,无需进行额外的抽象。
Redis运行在内存中但是可以持久化到磁盘,所以在对不同数据集进行高速读写时需要权衡内存,因为数据量不能大于硬件内存。在内存数据库方面的另一个优点是,相比在磁盘上相同的复杂的数据结构,在内存中操作起来非常简单,这样Redis可以做很多内部复杂性很强的事情。同时,在磁盘格式方面他们是紧凑的以追加的方式产生的,因为他们并不需要进行随机访问。
Redis的安装和部署
基本知识
1、Redis的数据类型:
字符串、列表(lists)、集合(sets)、有序集合(sorts sets)、哈希表(hashs)
2、Redis和memcache相比的独特之处:
(1)redis可以用来做存储(storge)、而memcache是来做缓存(cache)。这个特点主要是因为其有“持久化”功能
(2)存储的数据有“结构”,对于memcache来说,存储的数据,只有一种类型——“字符串”,而redis则可以存储字符串、链表、集合、有序集合、哈序结构
3、持久化的两种方式:
Redis将数据存储于内存中,或被配置为使用虚拟内存。
实现数据持久化的两种方式:(1)使用截图的方式,将内存中的数据不断写入磁盘(性能高,但可能会引起一定程度的数据丢失)
(2)使用类似mysql的方式,记录每次更新的日志
4、Redis的主从同步:对提高读取性能非常有益
5、Redis服务端的默认端口是6379
Linux下安装Redis
1、先到Redis官网(redis.io)下载redis安装包
2、将其下载到我的/lamp目录下
3、解压并进入其目录
4、编译源程序
make
cd src
make install PREFIX=/usr/local/redis
5、将配置文件移动到redis目录
6、启动redis服务
7、默认情况,Redis不是在后台运行,我们需要把redis放在后台运行
vim /usr/local/redis/etc/redis.conf
将daemonize的值改为yes
8、客户端连接
/usr/local/redis/bin/redis-cli
9、停止redis实例
/usr/local/redis/bin/redis-cli shutdown
或者
pkill redis-server
10、让redis开机自启
vim /etc/rc.local
加入
/usr/local/redis/bin/redis-server /usr/local/redis/etc/redis-conf
11、接下来我们看看/usr/local/redis/bin目录下的几个文件时什么
redis-benchmark:redis性能测试工具
redis-check-aof:检查aof日志的工具
redis-check-dump:检查rdb日志的工具
redis-cli:连接用的客户端
redis-server:redis服务进程
Ubuntu下安装
sudo apt-get install redis-server
Redis的配置
daemonize:如需要在后台运行,把该项的值改为yes
pdifile:把pid文件放在/var/run/redis.pid,可以配置到其他地址
bind:指定redis只接收来自该IP的请求,如果不设置,那么将处理所有请求,在生产环节中最好设置该项
port:监听端口,默认为6379
timeout:设置客户端连接时的超时时间,单位为秒
loglevel:等级分为4级,debug,revbose,notice和warning。生产环境下一般开启notice
logfile:配置log文件地址,默认使用标准输出,即打印在命令行终端的端口上
database:设置数据库的个数,默认使用的数据库是0
save:设置redis进行数据库镜像的频率
rdbcompression:在进行镜像备份时,是否进行压缩
dbfilename:镜像备份文件的文件名
dir:数据库镜像备份的文件放置的路径
slaveof:设置该数据库为其他数据库的从数据库
masterauth:当主数据库连接需要密码验证时,在这里设定
requirepass:设置客户端连接后进行任何其他指定前需要使用的密码
maxclients:限制同时连接的客户端数量
maxmemory:设置redis能够使用的最大内存
appendonly:开启appendonly模式后,redis会把每一次所接收到的写操作都追加到appendonly.aof文件中,当redis重新启动时,会从该文件恢复出之前的状态
appendfsync:设置appendonly.aof文件进行同步的频率
vm_enabled:是否开启虚拟内存支持
vm_swap_file:设置虚拟内存的交换文件的路径
vm_max_momery:设置开启虚拟内存后,redis将使用的最大物理内存的大小,默认为0
vm_page_size:设置虚拟内存页的大小
vm_pages:设置交换文件的总的page数量
vm_max_thrrads:设置vm IO同时使用的线程数量
安装目录内容详解
查看redis安装目录(Yum安装):
rpm -ql redis
之后系统打印输出下面28个文件记录:
/etc/logrotate.d/redis
/etc/redis-sentinel.conf
/etc/redis.conf
/etc/systemd/system/redis-sentinel.service.d
/etc/systemd/system/redis-sentinel.service.d/limit.conf
/etc/systemd/system/redis.service.d
/etc/systemd/system/redis.service.d/limit.conf
/usr/bin/redis-benchmark
/usr/bin/redis-check-aof
/usr/bin/redis-check-rdb
/usr/bin/redis-cli
/usr/bin/redis-sentinel
/usr/bin/redis-server
/usr/bin/redis-shutdown
/usr/lib/systemd/system/redis-sentinel.service
/usr/lib/systemd/system/redis.service
/usr/lib/tmpfiles.d/redis.conf
/usr/share/doc/redis-3.2.3
/usr/share/doc/redis-3.2.3/00-RELEASENOTES
/usr/share/doc/redis-3.2.3/BUGS
/usr/share/doc/redis-3.2.3/CONTRIBUTING
/usr/share/doc/redis-3.2.3/MANIFESTO
/usr/share/doc/redis-3.2.3/README.md
/usr/share/licenses/redis-3.2.3
/usr/share/licenses/redis-3.2.3/COPYING
/var/lib/redis
/var/log/redis
/var/run/redis
文件记录含义解析:
/etc/logrotate.d/redis
/etc/logrotate.d/ : 用来存储文件日志文件的轮循(切割转储)设置,(logrotate 程序是一个日志文件管理工具。用来把旧的日志文件删除,并创建新的日志文件,我们把它叫做“转储”。我们可以根据日志文件的大小,也可以根据其天数来转储,这个过程一般通过 cron 程序来执行。
logrotate 程序还可以用于压缩日志文件,以及发送日志到指定的E-mail 。)
/etc/logrotate.d/文件夹下的redis文件,也就是设置了redis的日志文件的轮循参数配置文件。
[root@aidev02 logrotate.d]# cat redis
/var/log/redis/*.log {
weekly
rotate 10
copytruncate
delaycompress
compress
notifempty
missingok
}
解析 :
weekly : 指定所有的日志文件每周转储一次。
rotate 10 : 指定转储文件保存10份
copytruncate :用于还在打开中的日志文件,把当前日志备份并截断.
delaycompress:和 compress 一起使用时,转储的日志文件到下一次转储时才压缩。
compress:指定压缩转储文件,通过gzip 压缩转储以后的日志,如果不需要压缩,添加注释就可以了 #compress。
notifempty:如果是空文件的话,不转储
missingok:如果日志文件不存在,继续处理下一个文件而不产生报错信息.
/etc/redis-sentinel.conf
Redis 的 Sentinel 系统用于管理多个 Redis 服务器(instance), 该系统执行以下三个任务.
监控(Monitoring): Sentinel 会不断地检查你的主服务器和从服务器是否运作正常。
提醒(Notification): 当被监控的某个 Redis 服务器出现问题时, Sentinel 可以通过 API 向管理员或者其他应用程序发送通知。
自动故障迁移(Automatic failover): 当一个主服务器不能正常工作时, Sentinel 会开始一次自动故障迁移操作, 它会将失效主服务器的其中一个从服务器升级为新的主服务器, 并让失效主服务器的其他从服务器改为复制新的主服务器; 当客户端试图连接失效的主服务器时, 集群也会向客户端返回新主服务器的地址, 使得集群可以使用新主服务器代替失效服务器。
Redis Sentinel 是一个分布式系统, 你可以在一个架构中运行多个 Sentinel 进程(progress), 这些进程使用流言协议(gossip protocols)来接收关于主服务器是否下线的信息, 并使用投票协议(agreement protocols)来决定是否执行自动故障迁移, 以及选择哪个从服务器作为新的主服务器。
/etc/redis.conf
redis的配置信息文件,里面包含redis的host/ip设置、集群设置、日志设置、数据持久化配置等信息。
可以通过命令redis-server redis.conf 指定redis配置来启动redis。
/etc/systemd/system/redis-sentinel.service.d
redis-sentinel.service.d是用来存储redis-sentinel在系统服务中相关设置的文件夹。
Systemd 是 Linux 系统中最新的初始化系统(init),它主要的设计目标是克服 sysvinit 固有的缺点,提高系统的启动速度Systemd 的很多概念来源于苹果 Mac OS 操作系统上的 launchd。
systemd单元文件可以从两个地方加载,优先级从低到高分别是:/usr/lib/systemd/system/: 软件包安装的单元,/etc/systemd/system/ 系统管理员安装的单元。
当systemd运行在用户模式下时,使用的加载路径是完全不同的。
/etc/systemd/system/redis-sentinel.service.d/limit.conf
limit.conf 文件是 Linux PAM(插入式认证模块,Pluggable Authentication Modules)中 pam_limits.so 的配置文件,而且只针对于单个会话。
cat lomit.conf
—– #If you need to change max open file limit. for example, when you change maxclient in configuration, you can change the LimitNOFILE value below, see “man systemd.exec” for information
[Service]
LimitNOFILE=10240
Group=groupName
/etc/systemd/system/redis.service.d
redis.service.d是用来存储redis在系统服务中相关设置的文件夹。
/etc/systemd/system/redis.service.d/limit.conf
和上面/etc/systemd/system/redis-sentinel.service.d/limit.conf配置一样。
/usr/bin/redis-benchmark
redis-benchmark为Redis性能测试工具。
/usr/bin存放的是一些用户命令, 是你在后期安装的一些软件的运行脚本。
/usr/sbin 放置一些用户安装的系统管理的必备程式.
/bin,/sbin目录是在系统启动后挂载到根文件系统中的。
系统级的组件放在/bin、/lib;
根用户才能访问的放在/sbin;
系统repository提供的应用程序放在/usr/bin、/usr/lib;
用户自己编译的放在/usr/local/XXX。
/usr/bin/redis-check-aof
数据持久化时,用于修复出问题的AOF文件
/usr/bin/redis-check-rdb
用于修复出问题的dump.rdb文件
/usr/bin/redis-cli
redis的客户端
/usr/bin/redis-sentinel
用于集群管理
/usr/bin/redis-server
redis的服务端
/usr/bin/redis-shutdown
停止所有客户端,进行保存,清空所有追加仅文件(如果AOF启用),并退出服务器。
错误时答复简单字符串。成功时不返回任何结果,因为服务器退出并关闭连接。
/usr/lib/systemd/system/redis-sentinel.service
/usr/lib/ 程序或子系统的不变的数据文件,包括一些site-wide配置文件.名字lib来源于库(library); 编程的原始库存在/usr/lib 里.
/usr/lib/systemd/system/ 文件夹存储 创建单位用的系统配置文件。
redis-sentinel.service系统服务配置文件。
如下:
[Unit]
Description=Redis Sentinel
After=network.target
[Service]
ExecStart=/usr/bin/redis-sentinel /etc/redis-sentinel.conf –daemonize no
ExecStop=/usr/bin/redis-shutdown redis-sentinel
User=redis
Group=redis
[Install]
WantedBy=multi-user.target
/usr/lib/systemd/system/redis.service
同上:
[Unit]
Description=Redis persistent key-value database
After=network.target
[Service]
ExecStart=/usr/bin/redis-server /etc/redis.conf –daemonize no
ExecStop=/usr/bin/redis-shutdown
User=redis
Group=redis
[Install]
WantedBy=multi-user.target
/usr/lib/tmpfiles.d/redis.conf
/etc/tmpfiles.d/.conf
/run/tmpfiles.d/.conf
/usr/lib/tmpfiles.d/*.conf
systemd-tmpfiles 使用上述三个目录中的配置文件 来决定如何创建、删除、清理 易变文件与临时文件以及易变目录与临时目录。
这些文件与目录通常位于 /run, /var/run(指向 /run 的软连接), /tmp, /var/tmp, /sys, /proc, /var 目录中。
系统的守护进程经常需要在 /run 目录下拥有专属的运行时目录,以存放套接字或管道之类的文件
.#redis runtime directory
d /run/redis 0755 redis redis -
配置文件的格式是每行对应一个路径,包含下面字段:具体可参考[ http://www.jinbuguo.com/systemd/tmpfiles.d.html ]
| 类型 | 路径 | 权限 | 属主 | 属组 | 寿命 | 参数|
|Type | Path | Mode | UID | GID | Age | Argument|
d /run/user 0755 root root 10d -
L /tmp/foobar - - - - /dev/null
/usr/share/doc/redis-3.2.3
/usr/share/放置共享文件的地方
/usr/share/doc/redis-3.2.3/00-RELEASENOTES
版本说明
/usr/share/doc/redis-3.2.3/BUGS
bugs
/usr/share/doc/redis-3.2.3/CONTRIBUTING
github上code捐献信息
/usr/share/doc/redis-3.2.3/MANIFESTO
声明
/usr/share/doc/redis-3.2.3/README.md
readme文件
/usr/share/licenses/redis-3.2.3
存放redis的许可文件
/usr/share/licenses/redis-3.2.3/COPYING
redis的许可文件COPYING
/var/lib/redis
/var/lib文件夹 存储 系统正常运行时要改变的文件
指定redis本地数据库存放目录
[root@aidev02 redis-3.2.3]# cd /var/lib/redis
[root@aidev02 redis]# ls
dump.rdb
/var/log/redis
/var/log 文件夹 :各种程序的Log文件,特别是login (/var/log/wtmp log所有到系统的登录和注销) 和syslog (/var/log/messages 里存储所有核心和系统程序信息. /var/log 里的文件经常不确定地增长,应该定期清除.
指定redis本地日志存放目录
/var/run/redis
/var/run/文件夹 : 保存到下次引导前有效的关于系统的信息文件.例如, /var/run/utmp 包含当前登录的用户的信息.
指定redis引导信息的存放目录
Redis配置
# redis 配置文件示例
# 当你需要为某个配置项指定内存大小的时候,必须要带上单位,
# 通常的格式就是 1k 5gb 4m 等酱紫:
#
# 1k => 1000 bytes
# 1kb => 1024 bytes
# 1m => 1000000 bytes
# 1mb => 1024*1024 bytes
# 1g => 1000000000 bytes
# 1gb => 1024*1024*1024 bytes
#
# 单位是不区分大小写的,你写 1K 5GB 4M 也行
################################## INCLUDES ###################################
# 假如说你有一个可用于所有的 redis server 的标准配置模板,
# 但针对某些 server 又需要一些个性化的设置,
# 你可以使用 include 来包含一些其他的配置文件,这对你来说是非常有用的。
#
# 但是要注意哦,include 是不能被 config rewrite 命令改写的
# 由于 redis 总是以最后的加工线作为一个配置指令值,所以你最好是把 include 放在这个文件的最前面,
# 以避免在运行时覆盖配置的改变,相反,你就把它放在后面(外国人真啰嗦)。
#
# include /path/to/local.conf
# include /path/to/other.conf
################################ 常用 #####################################
# 默认情况下 redis 不是作为守护进程运行的,如果你想让它在后台运行,你就把它改成 yes。
# 当redis作为守护进程运行的时候,它会写一个 pid 到 /var/run/redis.pid 文件里面。
daemonize no
# 当redis作为守护进程运行的时候,它会把 pid 默认写到 /var/run/redis.pid 文件里面,
# 但是你可以在这里自己制定它的文件位置。
pidfile /var/run/redis.pid
# 监听端口号,默认为 6379,如果你设为 0 ,redis 将不在 socket 上监听任何客户端连接。
port 6379
# TCP 监听的最大容纳数量
#
# 在高并发的环境下,你需要把这个值调高以避免客户端连接缓慢的问题。
# Linux 内核会一声不响的把这个值缩小成 /proc/sys/net/core/somaxconn 对应的值,
# 所以你要修改这两个值才能达到你的预期。
tcp-backlog 511
# 默认情况下,redis 在 server 上所有有效的网络接口上监听客户端连接。
# 你如果只想让它在一个网络接口上监听,那你就绑定一个IP或者多个IP。
#
# 示例,多个IP用空格隔开:
#
# bind 192.168.1.100 10.0.0.1
# bind 127.0.0.1
# 指定 unix socket 的路径。
#
# unixsocket /tmp/redis.sock
# unixsocketperm 755
# 指定在一个 client 空闲多少秒之后关闭连接(0 就是不管它)
timeout 0
# tcp 心跳包。
#
# 如果设置为非零,则在与客户端缺乏通讯的时候使用 SO_KEEPALIVE 发送 tcp acks 给客户端。
# 这个之所有有用,主要由两个原因:
#
# 1) 防止死的 peers
# 2) Take the connection alive from the point of view of network
# equipment in the middle.
#
# On Linux, the specified value (in seconds) is the period used to send ACKs.
# Note that to close the connection the double of the time is needed.
# On other kernels the period depends on the kernel configuration.
#
# A reasonable value for this option is 60 seconds.
# 推荐一个合理的值就是60秒
tcp-keepalive 0
# 定义日志级别。
# 可以是下面的这些值:
# debug (适用于开发或测试阶段)
# verbose (many rarely useful info, but not a mess like the debug level)
# notice (适用于生产环境)
# warning (仅仅一些重要的消息被记录)
loglevel notice
# 指定日志文件的位置
logfile ""
# 要想把日志记录到系统日志,就把它改成 yes,
# 也可以可选择性的更新其他的syslog 参数以达到你的要求
# syslog-enabled no
# 设置 syslog 的 identity。
# syslog-ident redis
# 设置 syslog 的 facility,必须是 USER 或者是 LOCAL0-LOCAL7 之间的值。
# syslog-facility local0
# 设置数据库的数目。
# 默认数据库是 DB 0,你可以在每个连接上使用 select <dbid> 命令选择一个不同的数据库,
# 但是 dbid 必须是一个介于 0 到 databasees - 1 之间的值
databases 16
################################ 快照 ################################
#
# 存 DB 到磁盘:
#
# 格式:save <间隔时间(秒)> <写入次数>
#
# 根据给定的时间间隔和写入次数将数据保存到磁盘
#
# 下面的例子的意思是:
# 900 秒内如果至少有 1 个 key 的值变化,则保存
# 300 秒内如果至少有 10 个 key 的值变化,则保存
# 60 秒内如果至少有 10000 个 key 的值变化,则保存
#
# 注意:你可以注释掉所有的 save 行来停用保存功能。
# 也可以直接一个空字符串来实现停用:
# save ""
save 900 1
save 300 10
save 60 10000
# 默认情况下,如果 redis 最后一次的后台保存失败,redis 将停止接受写操作,
# 这样以一种强硬的方式让用户知道数据不能正确的持久化到磁盘,
# 否则就会没人注意到灾难的发生。
#
# 如果后台保存进程重新启动工作了,redis 也将自动的允许写操作。
#
# 然而你要是安装了靠谱的监控,你可能不希望 redis 这样做,那你就改成 no 好了。
stop-writes-on-bgsave-error yes
# 是否在 dump .rdb 数据库的时候使用 LZF 压缩字符串
# 默认都设为 yes
# 如果你希望保存子进程节省点 cpu ,你就设置它为 no ,
# 不过这个数据集可能就会比较大
rdbcompression yes
# 是否校验rdb文件
rdbchecksum yes
# 设置 dump 的文件位置
dbfilename dump.rdb
# 工作目录
# 例如上面的 dbfilename 只指定了文件名,
# 但是它会写入到这个目录下。这个配置项一定是个目录,而不能是文件名。
dir ./
################################# 主从复制 #################################
# 主从复制。使用 slaveof 来让一个 redis 实例成为另一个reids 实例的副本。
# 注意这个只需要在 slave 上配置。
#
# slaveof <masterip> <masterport>
# 如果 master 需要密码认证,就在这里设置
# masterauth <master-password>
# 当一个 slave 与 master 失去联系,或者复制正在进行的时候,
# slave 可能会有两种表现:
#
# 1) 如果为 yes ,slave 仍然会应答客户端请求,但返回的数据可能是过时,
# 或者数据可能是空的在第一次同步的时候
#
# 2) 如果为 no ,在你执行除了 info he salveof 之外的其他命令时,
# slave 都将返回一个 "SYNC with master in progress" 的错误,
#
slave-serve-stale-data yes
# 你可以配置一个 slave 实体是否接受写入操作。
# 通过写入操作来存储一些短暂的数据对于一个 slave 实例来说可能是有用的,
# 因为相对从 master 重新同步数而言,据数据写入到 slave 会更容易被删除。
# 但是如果客户端因为一个错误的配置写入,也可能会导致一些问题。
#
# 从 redis 2.6 版起,默认 slaves 都是只读的。
#
# Note: read only slaves are not designed to be exposed to untrusted clients
# on the internet. It's just a protection layer against misuse of the instance.
# Still a read only slave exports by default all the administrative commands
# such as CONFIG, DEBUG, and so forth. To a limited extent you can improve
# security of read only slaves using 'rename-command' to shadow all the
# administrative / dangerous commands.
# 注意:只读的 slaves 没有被设计成在 internet 上暴露给不受信任的客户端。
# 它仅仅是一个针对误用实例的一个保护层。
slave-read-only yes
# Slaves 在一个预定义的时间间隔内发送 ping 命令到 server 。
# 你可以改变这个时间间隔。默认为 10 秒。
#
# repl-ping-slave-period 10
# The following option sets the replication timeout for:
# 设置主从复制过期时间
#
# 1) Bulk transfer I/O during SYNC, from the point of view of slave.
# 2) Master timeout from the point of view of slaves (data, pings).
# 3) Slave timeout from the point of view of masters (REPLCONF ACK pings).
#
# It is important to make sure that this value is greater than the value
# specified for repl-ping-slave-period otherwise a timeout will be detected
# every time there is low traffic between the master and the slave.
# 这个值一定要比 repl-ping-slave-period 大
#
# repl-timeout 60
# Disable TCP_NODELAY on the slave socket after SYNC?
#
# If you select "yes" Redis will use a smaller number of TCP packets and
# less bandwidth to send data to slaves. But this can add a delay for
# the data to appear on the slave side, up to 40 milliseconds with
# Linux kernels using a default configuration.
#
# If you select "no" the delay for data to appear on the slave side will
# be reduced but more bandwidth will be used for replication.
#
# By default we optimize for low latency, but in very high traffic conditions
# or when the master and slaves are many hops away, turning this to "yes" may
# be a good idea.
repl-disable-tcp-nodelay no
# 设置主从复制容量大小。这个 backlog 是一个用来在 slaves 被断开连接时
# 存放 slave 数据的 buffer,所以当一个 slave 想要重新连接,通常不希望全部重新同步,
# 只是部分同步就够了,仅仅传递 slave 在断开连接时丢失的这部分数据。
#
# The biggest the replication backlog, the longer the time the slave can be
# disconnected and later be able to perform a partial resynchronization.
# 这个值越大,salve 可以断开连接的时间就越长。
#
# The backlog is only allocated once there is at least a slave connected.
#
# repl-backlog-size 1mb
# After a master has no longer connected slaves for some time, the backlog
# will be freed. The following option configures the amount of seconds that
# need to elapse, starting from the time the last slave disconnected, for
# the backlog buffer to be freed.
# 在某些时候,master 不再连接 slaves,backlog 将被释放。
#
# A value of 0 means to never release the backlog.
# 如果设置为 0 ,意味着绝不释放 backlog 。
#
# repl-backlog-ttl 3600
# 当 master 不能正常工作的时候,Redis Sentinel 会从 slaves 中选出一个新的 master,
# 这个值越小,就越会被优先选中,但是如果是 0 , 那是意味着这个 slave 不可能被选中。
#
# 默认优先级为 100。
slave-priority 100
# It is possible for a master to stop accepting writes if there are less than
# N slaves connected, having a lag less or equal than M seconds.
#
# The N slaves need to be in "online" state.
#
# The lag in seconds, that must be <= the specified value, is calculated from
# the last ping received from the slave, that is usually sent every second.
#
# This option does not GUARANTEES that N replicas will accept the write, but
# will limit the window of exposure for lost writes in case not enough slaves
# are available, to the specified number of seconds.
#
# For example to require at least 3 slaves with a lag <= 10 seconds use:
#
# min-slaves-to-write 3
# min-slaves-max-lag 10
#
# Setting one or the other to 0 disables the feature.
#
# By default min-slaves-to-write is set to 0 (feature disabled) and
# min-slaves-max-lag is set to 10.
################################## 安全 ###################################
# 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).
#
# Warning: since Redis is pretty fast an outside user can try up to
# 150k passwords per second against a good box. This means that you should
# use a very strong password otherwise it will be very easy to break.
#
# 设置认证密码
# requirepass foobared
# Command renaming.
#
# It is possible to change the name of dangerous commands in a shared
# environment. For instance the CONFIG command may be renamed into something
# hard to guess so that it will still be available for internal-use tools
# but not available for general clients.
#
# Example:
#
# rename-command CONFIG b840fc02d524045429941cc15f59e41cb7be6c52
#
# It is also possible to completely kill a command by renaming it into
# an empty string:
#
# rename-command CONFIG ""
#
# Please note that changing the name of commands that are logged into the
# AOF file or transmitted to slaves may cause problems.
################################### 限制 ####################################
# Set the max number of connected clients at the same time. By default
# this limit is set to 10000 clients, however if the Redis server is not
# able to configure the process file limit to allow for the specified limit
# the max number of allowed clients is set to the current file limit
# minus 32 (as Redis reserves a few file descriptors for internal uses).
#
# 一旦达到最大限制,redis 将关闭所有的新连接
# 并发送一个‘max number of clients reached’的错误。
#
# maxclients 10000
# 如果你设置了这个值,当缓存的数据容量达到这个值, redis 将根据你选择的
# eviction 策略来移除一些 keys。
#
# 如果 redis 不能根据策略移除 keys ,或者是策略被设置为 ‘noeviction’,
# redis 将开始响应错误给命令,如 set,lpush 等等,
# 并继续响应只读的命令,如 get
#
# This option is usually useful when using Redis as an LRU cache, or to set
# a hard memory limit for an instance (using the 'noeviction' policy).
#
# WARNING: If you have slaves attached to an instance with maxmemory on,
# the size of the output buffers needed to feed the slaves are subtracted
# from the used memory count, so that network problems / resyncs will
# not trigger a loop where keys are evicted, and in turn the output
# buffer of slaves is full with DELs of keys evicted triggering the deletion
# of more keys, and so forth until the database is completely emptied.
#
# In short... if you have slaves attached it is suggested that you set a lower
# limit for maxmemory so that there is some free RAM on the system for slave
# output buffers (but this is not needed if the policy is 'noeviction').
#
# 最大使用内存
# maxmemory <bytes>
# 最大内存策略,你有 5 个选择。
#
# volatile-lru -> remove the key with an expire set using an LRU algorithm
# volatile-lru -> 使用 LRU 算法移除包含过期设置的 key 。
# allkeys-lru -> remove any key accordingly to the LRU algorithm
# allkeys-lru -> 根据 LRU 算法移除所有的 key 。
# volatile-random -> remove a random key with an expire set
# allkeys-random -> remove a random key, any key
# volatile-ttl -> remove the key with the nearest expire time (minor TTL)
# noeviction -> don't expire at all, just return an error on write operations
# noeviction -> 不让任何 key 过期,只是给写入操作返回一个错误
#
# Note: with any of the above policies, Redis will return an error on write
# operations, when there are not suitable keys for eviction.
#
# At the date of writing this commands are: set setnx setex append
# incr decr rpush lpush rpushx lpushx linsert lset rpoplpush sadd
# sinter sinterstore sunion sunionstore sdiff sdiffstore zadd zincrby
# zunionstore zinterstore hset hsetnx hmset hincrby incrby decrby
# getset mset msetnx exec sort
#
# The default is:
#
# maxmemory-policy noeviction
# LRU and minimal TTL algorithms are not precise algorithms but approximated
# algorithms (in order to save memory), so you can tune it for speed or
# accuracy. For default Redis will check five keys and pick the one that was
# used less recently, you can change the sample size using the following
# configuration directive.
#
# The default of 5 produces good enough results. 10 Approximates very closely
# true LRU but costs a bit more CPU. 3 is very fast but not very accurate.
#
# maxmemory-samples 5
############################## APPEND ONLY MODE ###############################
# By default Redis asynchronously dumps the dataset on disk. This mode is
# good enough in many applications, but an issue with the Redis process or
# a power outage may result into a few minutes of writes lost (depending on
# the configured save points).
#
# The Append Only File is an alternative persistence mode that provides
# much better durability. For instance using the default data fsync policy
# (see later in the config file) Redis can lose just one second of writes in a
# dramatic event like a server power outage, or a single write if something
# wrong with the Redis process itself happens, but the operating system is
# still running correctly.
#
# AOF and RDB persistence can be enabled at the same time without problems.
# If the AOF is enabled on startup Redis will load the AOF, that is the file
# with the better durability guarantees.
#
# Please check http://redis.io/topics/persistence for more information.
appendonly no
# The name of the append only file (default: "appendonly.aof")
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 one time every second. Compromise.
#
# The default is "everysec", as that's usually the right compromise between
# speed and data safety. It's up to you to understand if you can relax this to
# "no" that will let the operating system flush the output buffer when
# it wants, for better performances (but if you can live with the idea of
# some data loss consider the default persistence mode that's snapshotting),
# or on the contrary, use "always" that's very slow but a bit safer than
# everysec.
#
# More details please check the following article:
# http://antirez.com/post/redis-persistence-demystified.html
#
# If unsure, use "everysec".
# appendfsync always
appendfsync everysec
# appendfsync no
# When the AOF fsync policy is set to always or everysec, and a background
# saving process (a background save or AOF log background rewriting) is
# performing a lot of I/O against the disk, in some Linux configurations
# Redis may block too long on the fsync() call. Note that there is no fix for
# this currently, as even performing fsync in a different thread will block
# our synchronous write(2) call.
#
# In order to mitigate this problem it's possible to use the following option
# that will prevent fsync() from being called in the main process while a
# BGSAVE or BGREWRITEAOF is in progress.
#
# This means that while another child is saving, the durability of Redis is
# the same as "appendfsync none". In practical terms, this means that it is
# possible to lose up to 30 seconds of log in the worst scenario (with the
# default Linux settings).
#
# If you have latency problems turn this to "yes". Otherwise leave it as
# "no" that is the safest pick from the point of view of durability.
no-appendfsync-on-rewrite no
# Automatic rewrite of the append only file.
# Redis is able to automatically rewrite the log file implicitly calling
# BGREWRITEAOF when the AOF log size grows by the specified percentage.
#
# This is how it works: Redis remembers the size of the AOF file after the
# latest rewrite (if no rewrite has happened since the restart, the size of
# the AOF at startup is used).
#
# This base size is compared to the current size. If the current size is
# bigger than the specified percentage, the rewrite is triggered. Also
# you need to specify a minimal size for the AOF file to be rewritten, this
# is useful to avoid rewriting the AOF file even if the percentage increase
# is reached but it is still pretty small.
#
# Specify a percentage of zero in order to disable the automatic AOF
# rewrite feature.
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
################################ LUA SCRIPTING ###############################
# Max execution time of a Lua script in milliseconds.
#
# If the maximum execution time is reached Redis will log that a script is
# still in execution after the maximum allowed time and will start to
# reply to queries with an error.
#
# When a long running script exceed the maximum execution time only the
# SCRIPT KILL and SHUTDOWN NOSAVE commands are available. The first can be
# used to stop a script that did not yet called write commands. The second
# is the only way to shut down the server in the case a write commands was
# already issue by the script but the user don't want to wait for the natural
# termination of the script.
#
# Set it to 0 or a negative value for unlimited execution without warnings.
lua-time-limit 5000
################################ REDIS 集群 ###############################
#
# 启用或停用集群
# cluster-enabled yes
# Every cluster node has a cluster configuration file. This file is not
# intended to be edited by hand. It is created and updated by Redis nodes.
# Every Redis Cluster node requires a different cluster configuration file.
# Make sure that instances running in the same system does not have
# overlapping cluster configuration file names.
#
# cluster-config-file nodes-6379.conf
# Cluster node timeout is the amount of milliseconds a node must be unreachable
# for it to be considered in failure state.
# Most other internal time limits are multiple of the node timeout.
#
# cluster-node-timeout 15000
# A slave of a failing master will avoid to start a failover if its data
# looks too old.
#
# There is no simple way for a slave to actually have a exact measure of
# its "data age", so the following two checks are performed:
#
# 1) If there are multiple slaves able to failover, they exchange messages
# in order to try to give an advantage to the slave with the best
# replication offset (more data from the master processed).
# Slaves will try to get their rank by offset, and apply to the start
# of the failover a delay proportional to their rank.
#
# 2) Every single slave computes the time of the last interaction with
# its master. This can be the last ping or command received (if the master
# is still in the "connected" state), or the time that elapsed since the
# disconnection with the master (if the replication link is currently down).
# If the last interaction is too old, the slave will not try to failover
# at all.
#
# The point "2" can be tuned by user. Specifically a slave will not perform
# the failover if, since the last interaction with the master, the time
# elapsed is greater than:
#
# (node-timeout * slave-validity-factor) + repl-ping-slave-period
#
# So for example if node-timeout is 30 seconds, and the slave-validity-factor
# is 10, and assuming a default repl-ping-slave-period of 10 seconds, the
# slave will not try to failover if it was not able to talk with the master
# for longer than 310 seconds.
#
# A large slave-validity-factor may allow slaves with too old data to failover
# a master, while a too small value may prevent the cluster from being able to
# elect a slave at all.
#
# For maximum availability, it is possible to set the slave-validity-factor
# to a value of 0, which means, that slaves will always try to failover the
# master regardless of the last time they interacted with the master.
# (However they'll always try to apply a delay proportional to their
# offset rank).
#
# Zero is the only value able to guarantee that when all the partitions heal
# the cluster will always be able to continue.
#
# cluster-slave-validity-factor 10
# Cluster slaves are able to migrate to orphaned masters, that are masters
# that are left without working slaves. This improves the cluster ability
# to resist to failures as otherwise an orphaned master can't be failed over
# in case of failure if it has no working slaves.
#
# Slaves migrate to orphaned masters only if there are still at least a
# given number of other working slaves for their old master. This number
# is the "migration barrier". A migration barrier of 1 means that a slave
# will migrate only if there is at least 1 other working slave for its master
# and so forth. It usually reflects the number of slaves you want for every
# master in your cluster.
#
# Default is 1 (slaves migrate only if their masters remain with at least
# one slave). To disable migration just set it to a very large value.
# A value of 0 can be set but is useful only for debugging and dangerous
# in production.
#
# cluster-migration-barrier 1
# In order to setup your cluster make sure to read the documentation
# available at http://redis.io web site.
################################## SLOW LOG ###################################
# The Redis Slow Log is a system to log queries that exceeded a specified
# execution time. The execution time does not include the I/O operations
# like talking with the client, sending the reply and so forth,
# but just the time needed to actually execute the command (this is the only
# stage of command execution where the thread is blocked and can not serve
# other requests in the meantime).
#
# You can configure the slow log with two parameters: one tells Redis
# what is the execution time, in microseconds, to exceed in order for the
# command to get logged, and the other parameter is the length of the
# slow log. When a new command is logged the oldest one is removed from the
# queue of logged commands.
# The following time is expressed in microseconds, so 1000000 is equivalent
# to one second. Note that a negative number disables the slow log, while
# a value of zero forces the logging of every command.
slowlog-log-slower-than 10000
# There is no limit to this length. Just be aware that it will consume memory.
# You can reclaim memory used by the slow log with SLOWLOG RESET.
slowlog-max-len 128
############################# Event notification ##############################
# Redis can notify Pub/Sub clients about events happening in the key space.
# This feature is documented at http://redis.io/topics/keyspace-events
#
# For instance if keyspace events notification is enabled, and a client
# performs a DEL operation on key "foo" stored in the Database 0, two
# messages will be published via Pub/Sub:
#
# PUBLISH __keyspace@0__:foo del
# PUBLISH __keyevent@0__:del foo
#
# It is possible to select the events that Redis will notify among a set
# of classes. Every class is identified by a single character:
#
# K Keyspace events, published with __keyspace@<db>__ prefix.
# E Keyevent events, published with __keyevent@<db>__ prefix.
# g Generic commands (non-type specific) like DEL, EXPIRE, RENAME, ...
# $ String commands
# l List commands
# s Set commands
# h Hash commands
# z Sorted set commands
# x Expired events (events generated every time a key expires)
# e Evicted events (events generated when a key is evicted for maxmemory)
# A Alias for g$lshzxe, so that the "AKE" string means all the events.
#
# The "notify-keyspace-events" takes as argument a string that is composed
# by zero or multiple characters. The empty string means that notifications
# are disabled at all.
#
# Example: to enable list and generic events, from the point of view of the
# event name, use:
#
# notify-keyspace-events Elg
#
# Example 2: to get the stream of the expired keys subscribing to channel
# name __keyevent@0__:expired use:
#
# notify-keyspace-events Ex
#
# By default all notifications are disabled because most users don't need
# this feature and the feature has some overhead. Note that if you don't
# specify at least one of K or E, no events will be delivered.
notify-keyspace-events ""
############################### ADVANCED CONFIG ###############################
# Hashes are encoded using a memory efficient data structure when they have a
# small number of entries, and the biggest entry does not exceed a given
# threshold. These thresholds can be configured using the following directives.
hash-max-ziplist-entries 512
hash-max-ziplist-value 64
# Similarly to hashes, small lists are also encoded in a special way in order
# to save a lot of space. The special representation is only used when
# you are under the following limits:
list-max-ziplist-entries 512
list-max-ziplist-value 64
# Sets have a special encoding in just one case: when a set is composed
# of just strings that happens to be integers in radix 10 in the range
# of 64 bit signed integers.
# The following configuration setting sets the limit in the size of the
# set in order to use this special memory saving encoding.
set-max-intset-entries 512
# Similarly to hashes and lists, sorted sets are also specially encoded in
# order to save a lot of space. This encoding is only used when the length and
# elements of a sorted set are below the following limits:
zset-max-ziplist-entries 128
zset-max-ziplist-value 64
# HyperLogLog sparse representation bytes limit. The limit includes the
# 16 bytes header. When an HyperLogLog using the sparse representation crosses
# this limit, it is converted into the dense representation.
#
# A value greater than 16000 is totally useless, since at that point the
# dense representation is more memory efficient.
#
# The suggested value is ~ 3000 in order to have the benefits of
# the space efficient encoding without slowing down too much PFADD,
# which is O(N) with the sparse encoding. The value can be raised to
# ~ 10000 when CPU is not a concern, but space is, and the data set is
# composed of many HyperLogLogs with cardinality in the 0 - 15000 range.
hll-sparse-max-bytes 3000
# Active rehashing uses 1 millisecond every 100 milliseconds of CPU time in
# order to help rehashing the main Redis hash table (the one mapping top-level
# keys to values). The hash table implementation Redis uses (see dict.c)
# performs a lazy rehashing: the more operation you run into a hash table
# that is rehashing, the more rehashing "steps" are performed, so if the
# server is idle the rehashing is never complete and some more memory is used
# by the hash table.
#
# The default is to use this millisecond 10 times every second in order to
# active rehashing the main dictionaries, freeing memory when possible.
#
# If unsure:
# use "activerehashing no" if you have hard latency requirements and it is
# not a good thing in your environment that Redis can reply form time to time
# to queries with 2 milliseconds delay.
#
# use "activerehashing yes" if you don't have such hard requirements but
# want to free memory asap when possible.
activerehashing yes
# The client output buffer limits can be used to force disconnection of clients
# that are not reading data from the server fast enough for some reason (a
# common reason is that a Pub/Sub client can't consume messages as fast as the
# publisher can produce them).
#
# The limit can be set differently for the three different classes of clients:
#
# normal -> normal clients
# slave -> slave clients and MONITOR clients
# pubsub -> clients subscribed to at least one pubsub channel or pattern
#
# The syntax of every client-output-buffer-limit directive is the following:
#
# client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>
#
# A client is immediately disconnected once the hard limit is reached, or if
# the soft limit is reached and remains reached for the specified number of
# seconds (continuously).
# So for instance if the hard limit is 32 megabytes and the soft limit is
# 16 megabytes / 10 seconds, the client will get disconnected immediately
# if the size of the output buffers reach 32 megabytes, but will also get
# disconnected if the client reaches 16 megabytes and continuously overcomes
# the limit for 10 seconds.
#
# By default normal clients are not limited because they don't receive data
# without asking (in a push way), but just after a request, so only
# asynchronous clients may create a scenario where data is requested faster
# than it can read.
#
# Instead there is a default limit for pubsub and slave clients, since
# subscribers and slaves receive data in a push fashion.
#
# Both the hard or the soft limit can be disabled by setting them to zero.
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60
# Redis calls an internal function to perform many background tasks, like
# closing connections of clients in timeout, purging expired keys that are
# never requested, and so forth.
#
# Not all tasks are performed with the same frequency, but Redis checks for
# tasks to perform accordingly to the specified "hz" value.
#
# By default "hz" is set to 10. Raising the value will use more CPU when
# Redis is idle, but at the same time will make Redis more responsive when
# there are many keys expiring at the same time, and timeouts may be
# handled with more precision.
#
# The range is between 1 and 500, however a value over 100 is usually not
# a good idea. Most users should use the default of 10 and raise this up to
# 100 only in environments where very low latency is required.
hz 10
# When a child rewrites the AOF file, if the following option is enabled
# the file will be fsync-ed every 32 MB of data generated. This is useful
# in order to commit the file to the disk more incrementally and avoid
# big latency spikes.
aof-rewrite-incremental-fsync yes
Redis配置远程连接
1、防火墙添加6379端口
确保防火墙开启了对6379端口的放行。
2、修改redis.conf
在 redis.conf 中修改以下参数
# 允许任何主机连接、访问
bind 127.0.0.1 改为 bind 0.0.0.0
# 关闭保护模式
protected-mode yes 改为 protected-mode no
# 允许启动后在后台运行,即关闭命令行窗口后仍能运行
daemonize no 改为 daemonize yes
修改完成后,重启redis
./redis-server ../redis.conf
#或
/etc/init.d/redis-server restart