Redis和Memcached相似，也是NoSQL的一种，是一个基于内存的高性能key-value（k-v）数据库。php
Redis支持string、list、set、zset（sorted set）和hash类型数据，这些数据类型都支持push/pop、add/remove及取交集、并集和差集及更丰富的操做，对这些数据的操做都是原子性的。html
与memcached同样，为了保证效率，数据都是缓存在内存中。区别的是redis会周期性的把更新的数据写入磁盘或者把修改操做写入追加的记录文件，而且在此基础上实现了master-slave(主从)同步。redis的出现，很大程度补偿了memcached这类key/value存储的不足，在部 分场合能够对关系数据库起到很好的补充做用。它提供了Java，C/C++，C#，PHP，JavaScript，Perl，Object-C，Python，Ruby，Erlang等客户端，使用很方便。node
数据能够从主服务器向任意数量的从服务器上同步，从服务器能够是关联其余从服务器的主服务器。这使得Redis可执行单层树复制。存盘能够有意无心的对数据进行写操做。因为彻底实现了发布/订阅机制，使得从数据库在任何地方同步树时，可订阅一个频道并接收主服务器完整的消息发布记录。同步对读取操做的可扩展性和数据冗余颇有帮助。mysql
此外，Redis使用了两种文件格式：全量数据（RDB）和增量请求（aof）。全量数据格式是把内存中的数据写入磁盘，便于下次读取文件时进行加载；增量请求则是把内存中的数据序列转化为操做请求，用于读取文件进行replay获得数据，这种相似于mysql的binlog。Redis的存储分为内存存储、磁盘存储和log文件三部分。linux
Redis官网：https://redis.io/ ，最新版本4.0.11nginx
# cd /usr/local/src/# wget http://download.redis.io/releases/redis-4.0.11.tar.gz# tar zxf redis-4.0.11.tar.gz# cd redis-4.0.11# make && make install# echo $?0# redis- #按两次Tab键出现下面内容就说明安装成功redis-benchmark redis-check-rdb redis-sentinel redis-check-aof redis-cli redis-server
# cp redis.conf /etc/redis.conf# vim /etc/redis.conf #作下面更改daemonize yes #后台启动logfile "/var/log/redis.log" #设置日志存放路径dir /data/redis #设置RDB存放目录改成 appendonly yes# mkdir /data/redis
# redis-server /etc/redis.conf# ps aux |grep redisroot 11920 0.2 0.2 145308 2188 ? Ssl 22:51 0:00 redis-server 127.0.0.1:6379# less /var/log/redis.log #提示修改内核参数，若是不去修改也没很大影响11920:M 20 Jul 22:51:40.532 # WARNING overcommit_memory is set to 0! Background save may fail under low memory condition. To fix this issue add 'vm.overcommit_memory = 1' to /etc/sysctl.conf and then reboot or run the command 's ysctl vm.overcommit_memory=1' for this to take effect. 11920:M 20 Jul 22:51:40.533 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel /mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.# vim /etc/rc.local #修改内核参数，并开机执行sysctl vm.overcommit_memory=1echo never > /sys/kernel/mm/transparent_hugepage/enabled
Redis提供了两种持久化的方式：RDB（Redis DataBase）和AOFAppend Only File）。git
RDB，简而言之，就是在不一样的时间点，将redis存储的数据生成快照并存储到磁盘等介质上。github
AOF，则是将redis执行过的全部写指令记录下来，在下次redis从新启动时，只要把这些写指令从前到后再重复执行一遍，就能够实现数据恢复了。redis
RDB和AOF两种方式也能够同时使用，在这种状况下，若是redis重启，则会优先采用AOF方式来进行数据恢复，这是由于AOF方式的数据恢复完整度更高。若是没有数据持久化的需求，也能够彻底关闭RDB和AOF，这样的话，redis将变成一个纯内存数据库，就像memcached同样。算法
# cat /etc/redis.conf save 900 1 #表示900s内发生了1次更改save 300 10 #表示300s内发生了10次更改save 60 10000 #表示60s内发生了10000次更改
决定RDB何时将数据写入磁盘是由这些参数决定的。三选一，咱们就保持默认便可。
# cat /etc/redis.conf #作下面更改save ""#save 900 1#save 300 10#save 60 10000
# cat /etc/redis.conf# appendfsync always #一直记录，每次有变动就记录appendfsync everysec #每秒记录一次# appendfsync no #每隔一段时间记录一次，根据系统里面算法决定，不安全
前面已经讲过，Redis的数据类型有五种：string、list、set、zset、hash
string是最简单的类型，与Memcached同样的类型，一个key对应一个value，其支持的操做与Memcached的操做相似，不过功能更丰富，能够存二进制的对象。
# redis-cli #进入redis命令行127.0.0.1:6379> set mykey "123" OK 127.0.0.1:6379> get mykey"123"127.0.0.1:6379> MSET k1 1 k2 2 k3 3 #支持Tab键将命令能够自动补全OK 127.0.0.1:6379> mget k1 k2 k3 mykey 1) "1"2) "2"3) "3"4) "123"
list是一个链表结构，主要功能是push、pop、获取一个范围的全部值等。操做中key可理解为链表的名字。
使用list结构，能够轻松实现最新消息排行等功能（好比新浪微博的TimeLine）。list的另外一个应用就是消息队列，能够利用list的push操做将任务存在list中，而后工做线程再用pop操做将任务取出执行。
127.0.0.1:6379> LPUSH list1 "lzx" #LPUSH表示推动去(integer) 1 127.0.0.1:6379> LPUSH list1 "123"(integer) 2 127.0.0.1:6379> LPUSH list1 "aaa"(integer) 3 127.0.0.1:6379> LRANGE list1 0 -1 #0表示第一位，-1表示最后一位1) "aaa"2) "123"3) "lzx" #最早推动去的排在后面127.0.0.1:6379> LPOP list1 #LPOP表示取出来，取出最前面的"aaa"127.0.0.1:6379> LRANGE list1 0 -1 1) "123"2) "lzx" #取出来的数据就不在list1中了
set是集合，和咱们数学中的集合概念类似，对集合的操做有添加、删除元素，有对多个集合求交并差等操做。操做中key可理解为集合的名字。
好比在微博应用中，能够将一个用户全部的关注人存在一个集合中，将其全部粉丝存在一个集合中。由于Redis很是人性化地为集合提供了求交集、并集、差集等操做，那么能够很方便地实现如共同关注、共同爱好、二度好友等功能，对上面的全部集合操做，你还可使用不一样的命令选择将结果返回给客户端仍是存集到一个新的集合中。
127.0.0.1:6379> SADD set1 a(integer) 1 127.0.0.1:6379> SADD set1 b(integer) 1 127.0.0.1:6379> SADD set1 c(integer) 1 127.0.0.1:6379> SMEMBERS set1 1) "a"2) "b"3) "c"127.0.0.1:6379> SADD set2 1(integer) 1 127.0.0.1:6379> SADD set2 2(integer) 1 127.0.0.1:6379> SADD set2 c(integer) 1 127.0.0.1:6379> SMEMBERS set2 1) "2"2) "c"3) "1"127.0.0.1:6379> SUNION set1 set2 #SUNION表示求并集1) "2"2) "b"3) "c"4) "a"5) "1"127.0.0.1:6379> SINTER set1 set2 #SINTER表示求交集1) "c"127.0.0.1:6379> SDIFF set1 set2 #SDIFF表示求差集，针对set1求差集，去除交集的部分1) "a"2) "b"127.0.0.1:6379> SREM set1 b #SREM表示删除元素(integer) 1 127.0.0.1:6379> SMEMBERS set1 1) "a"2) "c"
zset是有序集合，它比set多了一个权重参数score，使集合中的元素可以按score进行有序排列。
好比一个存储全班同窗成绩的Sorted Sets，其集合中value能够是同窗的学号，而score就能够是其考试分数，这样在数据插入集合的时候，就已经进行了自然的排序。
127.0.0.1:6379> ZADD set3 12 abc(integer) 1 127.0.0.1:6379> ZADD set3 2 "cde 123"(integer) 1 127.0.0.1:6379> ZADD set3 24 "lzx"(integer) 1 127.0.0.1:6379> ZADD set3 4 "linux"(integer) 1 127.0.0.1:6379> ZRANGE set3 0 -1 #顺序排列set3，0表示第一位，-1表示最后一位1) "cde 123"2) "linux"3) "abc"4) "lzx"127.0.0.1:6379> ZREVRANGE set3 0 -1 #倒序排列set31) "lzx"2) "abc"3) "linux"4) "cde 123"
hash，Redis和Memcached相似，在Memcached中，咱们常常将一些结构化的信息打包成hashmap，在客户端序列化后存储为一个字符串的值（通常是JSON格式），好比用户的昵称、年龄、性别、积分等。
127.0.0.1:6379> HSET hash1 name lzx (integer) 1 127.0.0.1:6379> HSET hash1 age 20(integer) 1 127.0.0.1:6379> HSET hash1 job it //添加了3对子元素，每一对子元素均可以看作是一个key-value(integer) 1 127.0.0.1:6379> HSET hash1 name lzx(integer) 1 127.0.0.1:6379> HSET hash1 age 20(integer) 1 127.0.0.1:6379> HSET hash1 job it(integer) 1 127.0.0.1:6379> HGET hash1 name #查看hash1中name"lzx"127.0.0.1:6379> HGET hash1 age"20"127.0.0.1:6379> HGET hash1 job"it"127.0.0.1:6379> HGETALL hash1 #查看hash1所有1) "name"2) "lzx"3) "age"4) "20"5) "job"6) "it"
127.0.0.1:6379> set key1 lzx OK 127.0.0.1:6379> set key2 123 OK 127.0.0.1:6379> set key1 aaa OK 127.0.0.1:6379> get key1 "aaa" #第二次赋值将以前赋值覆盖
127.0.0.1:6379> SETNX key1 linux #key1存在，因此返回0(integer) 0 127.0.0.1:6379> get key1 "aaa" #而且不改变key1的value127.0.0.1:6379> SETNX key3 111 #key3不存在，因此直接建立，返回1(integer) 1 127.0.0.1:6379> get key3"111"
127.0.0.1:6379> set key3 111 ex 10 #给key3设置过时时间，为10s，set时ex不可省略OK 127.0.0.1:6379> get key3 #过10s以后查看，value为空(nil)127.0.0.1:6379> SETEX key3 1000 222 #SETEX设置过时时间为1000s，后面222为value，若key3已存在则覆盖OK 127.0.0.1:6379> get key3"222"
127.0.0.1:6379> LPUSH list2 aaa(integer) 1 127.0.0.1:6379> LPUSH list2 bbb(integer) 2 127.0.0.1:6379> LPUSH list2 ccc(integer) 3 127.0.0.1:6379> LRANGE list2 0 -1 1) "ccc"2) "bbb"3) "aaa"127.0.0.1:6379> LPOP list2 #取出的是最后加入的值"ccc"127.0.0.1:6379> LRANGE list2 0 -1 #取出的值已经不在list2中1) "bbb"2) "aaa"127.0.0.1:6379> RPOP list2 #取出最早加入的值，跟LPOP相反"aaa"
127.0.0.1:6379> LRANGE list2 0 -1 1) "bbb"127.0.0.1:6379> LINSERT list2 before bbb 111 #LINSERT表示插入，在bbb前面插入111(integer) 2 127.0.0.1:6379> LINSERT list2 after bbb ddd #在bbb后面插入ddd(integer) 3 127.0.0.1:6379> LINSERT list2 after ddd fff(integer) 4 127.0.0.1:6379> LRANGE list2 0 -1 1) "111"2) "bbb"3) "ddd"4) "fff"
127.0.0.1:6379> LSET list2 1 123 #LSET表示修改，将第2个值改成123OK 127.0.0.1:6379> LSET list2 3 abc #将第4个值改成abcOK 127.0.0.1:6379> LRANGE list2 0 -1 1) "111"2) "123"3) "ddd"4) "abc"
127.0.0.1:6379> LINDEX list2 1 #LINDEX表示查看，查看第2个值"123"127.0.0.1:6379> LINDEX list2 3 #查看第4个值"abc"
127.0.0.1:6379> LLEN list2 #LLEN查看列表中有几个元素(integer) 4 #表示list2中有4个元素
127.0.0.1:6379> SADD set1 aaa #SADD表示添加元素，添加元素aaa(integer) 1 127.0.0.1:6379> SADD set1 bbb(integer) 1 127.0.0.1:6379> SADD set1 ccc(integer) 1 127.0.0.1:6379> SMEMBERS set1 #SMEMBERS表示查看集合中全部元素1) "bbb"2) "aaa"3) "ccc"
127.0.0.1:6379> SREM set1 aaa #SREM表示删除元素，删除元素aaa(integer) 1 127.0.0.1:6379> SMEMBERS set1 1) "bbb"2) "ccc"
127.0.0.1:6379> SPOP set1 1 #SPOP表示取出元素，1表示第2个元素1) "ccc"127.0.0.1:6379> SMEMBERS set1 1) "bbb" #取出的元素就再也不在set1中
127.0.0.1:6379> SADD set1 aaa(integer) 1 127.0.0.1:6379> SADD set1 ccc(integer) 1 127.0.0.1:6379> SADD set1 222(integer) 1 127.0.0.1:6379> SMEMBERS set1 1) "bbb"2) "aaa"3) "222"4) "ccc"127.0.0.1:6379> SADD set2 aaa(integer) 1 127.0.0.1:6379> SADD set2 ccc(integer) 1 127.0.0.1:6379> SADD set2 111(integer) 1 127.0.0.1:6379> SMEMBERS set2 1) "aaa"2) "111"3) "ccc"127.0.0.1:6379> SDIFF set1 set2 #SDIFF表示求差集，set1在前面就是以set1为标准1) "bbb"2) "222"127.0.0.1:6379> SDIFF set2 set1 1) "111"
127.0.0.1:6379> SDIFFSTORE set3 set1 set2 #SDIFFSTORE表示求出差集并保存到新集合中，set3为新集合(integer) 2 127.0.0.1:6379> SMEMBERS set3 1) "bbb"2) "222"
127.0.0.1:6379> SINTER set1 set2 #SINTER表示求交集1) "aaa"2) "ccc"
127.0.0.1:6379> SINTERSTORE set4 set1 set2 #SINTERSTORE表示求交集并保存到新集合中，set4为新集合(integer) 2 127.0.0.1:6379> SMEMBERS set4 1) "aaa"2) "ccc"
127.0.0.1:6379> SUNION set1 set2 #SUNION表示求并集1) "ccc"2) "222"3) "bbb"4) "aaa"5) "111"
127.0.0.1:6379> SUNIONSTORE set5 set1 set2 #SUNIONSTORE表示求并集并保存到新集合中，set5为新集合(integer) 5 127.0.0.1:6379> SMEMBERS set5 1) "ccc"2) "222"3) "bbb"4) "aaa"5) "111"
127.0.0.1:6379> SISMEMBER set1 1 #SISMEMBER表示判断一个元素是否在集合中(integer) 0 #返回0表示不存在127.0.0.1:6379> SISMEMBER set1 aaa(integer) 1 #返回1表示存在
127.0.0.1:6379> SRANDMEMBER set1 #SRANDMEMBER表示随机取出元素，但不删除"ccc"127.0.0.1:6379> SRANDMEMBER set1 2 #2表示随机取出2个元素1) "ccc"2) "222"127.0.0.1:6379> SMEMBERS set1 1) "bbb"2) "aaa"3) "222"4) "ccc"
127.0.0.1:6379> ZADD zset1 11 123 #ZADD表示添加元素(integer) 1 127.0.0.1:6379> ZADD zset1 2 lab(integer) 1 127.0.0.1:6379> ZADD zset1 25 k (integer) 1 127.0.0.1:6379> ZRANGE zset1 0 -1 #ZRANGE表示查看元素，按顺序显示，0表示第一位，-1表示最后一位1) "lab"2) "123"3) "k"
127.0.0.1:6379> ZREM zset1 123 #ZREM表示删除元素，123为具体的值（输入score（11）则不对）(integer) 1 127.0.0.1:6379> ZRANGE zset1 0 -1 1) "lab"2) "k"
127.0.0.1:6379> ZADD zset1 9 la(integer) 1 127.0.0.1:6379> ZADD zset1 100 sss(integer) 1 127.0.0.1:6379> ZRANGE zset1 0 -1 1) "lab"2) "la"3) "k"4) "sss"127.0.0.1:6379> ZRANK zset1 k #ZRANK返回元素的索引值，索引值从0开始，按sore正向排序，score即value前面的值，如la的sore是9，sss的sore为100(integer) 2
127.0.0.1:6379> ZREVRANK zset1 k #ZREVRANK返回元素的索引值，索引值从0开始，按score反向排序(integer) 1
127.0.0.1:6379> ZREVRANGE zset1 0 -1 #ZREVRANGE表示反序排序1) "sss"2) "k"3) "la"4) "lab"
127.0.0.1:6379> ZCARD zset1 #ZCARD返回元素个数(integer) 4
127.0.0.1:6379> ZCOUNT zset1 1 10 #ZCOUNT返回score范围中的元素个数，1 10表示范围为1-10(integer) 2 #1-10的元素个数为2
127.0.0.1:6379> ZRANGEBYSCORE zset1 1 10 #ZRANGEBYSCORE返回score范围中的元素1) "lab"2) "la"
127.0.0.1:6379> ZREMRANGEBYRANK zset1 0 1 #ZREMRANGEBYRANK表示删除索引范围中的元素，0 1表示索引从第一位到第二位(integer) 2 127.0.0.1:6379> ZRANGE zset1 0 -1 1) "k"2) "sss"
127.0.0.1:6379> ZADD zset1 6 111(integer) 1 127.0.0.1:6379> ZADD zset1 31 all(integer) 1 127.0.0.1:6379> ZRANGE zset1 0 -1 1) "111"2) "k"3) "all"4) "sss"127.0.0.1:6379> ZREMRANGEBYSCORE zset1 1 10 #ZREMRANGEBYSCORE表示删除score（分值）范围中的元素，1 10表示范围为1-10(integer) 1 127.0.0.1:6379> ZRANGE zset1 0 -1 1) "k"2) "all"3) "sss"
127.0.0.1:6379> HSET usera name lzx #HSET创建hash(integer) 1 127.0.0.1:6379> HGET usera name #HGET查看"lzx"
127.0.0.1:6379> HMSET userb name lzx age 20 job it #HMSET批量建立键值对OK 127.0.0.1:6379> HMGET userb name age job #HMGET批量查看1) "lzx"2) "20"3) "it"127.0.0.1:6379> HGETALL userb #HGETALL查看hash中全部键值对，这样查看也能够1) "name"2) "lzx"3) "age"4) "20"5) "job"6) "it"
127.0.0.1:6379> HDEL userb age #HDEL删除对应的键值对(integer) 1 127.0.0.1:6379> HGETALL userb 1) "name"2) "lzx"3) "job"4) "it" #age对应的键值对消失
127.0.0.1:6379> HKEYS userb #HKEYS显示hash中全部的key1) "name"2) "job"
127.0.0.1:6379> HVALS userb #HVALS显示hash中全部的value1) "lzx"2) "it"
127.0.0.1:6379> HLEN userb #HLEN查看hash中有多少个键值对(integer) 2
127.0.0.1:6379> KEYS * #KEYS列出redis中全部的key 1) "key1" 2) "k2" 3) "set3" 4) "k3" 5) "seta" 6) "mykey" 7) "key2" 8) "set5" 9) "zset1"10) "k1"11) "set2"12) "set4"13) "list1"14) "userb"15) "usera"16) "hash1"17) "set1"18) "list2"
127.0.0.1:6379> KEYS my* #模糊匹配1) "mykey"
127.0.0.1:6379> EXISTS key1 #EXISTS查看是否存在某个键，存在返回1，不存在返回0(integer) 1
127.0.0.1:6379> DEL key1 #DEL删除某个键(integer) 1 127.0.0.1:6379> EXISTS key1(integer) 0
127.0.0.1:6379> EXPIRE k2 10 #EXPIRE给某个键设置过时时间，10表示10s(integer) 1 127.0.0.1:6379> GET k2"2"127.0.0.1:6379> GET k2 #过10s以后查看，k2的value为空(nil)
127.0.0.1:6379> EXPIRE key2 100(integer) 1 127.0.0.1:6379> TTL key2 #TTL查看键的过时时间(integer) 94 127.0.0.1:6379> TTL key2(integer) 90
127.0.0.1:6379> SELECT 1 #SELECT选择库，总共有16个库，默认为0库OK 127.0.0.1:6379[1]> KEYS * #[1]表示如今在1库(empty list or set) #1库没有数据127.0.0.1:6379[1]> SELECT 0 OK 127.0.0.1:6379> KEYS * 1) "set3" 2) "k3" 3) "seta" 4) "mykey" 5) "set5" 6) "zset1" 7) "k1" 8) "set2" 9) "set4"10) "list1"11) "userb"12) "usera"13) "hash1"14) "set1"15) "list2"
127.0.0.1:6379> MOVE set2 1 #MOVE移动数据到另外一个库(integer) 1 127.0.0.1:6379> SELECT 1 OK 127.0.0.1:6379[1]> KEYS * 1) "set2"
127.0.0.1:6379> EXPIRE set1 100(integer) 1 127.0.0.1:6379> TTL set1(integer) 94 127.0.0.1:6379> PERSIST set1 #PERSIST取消过时时间(integer) 1 127.0.0.1:6379> TTL set1(integer) -1 #-1表示没有过时时间，即永不过时
127.0.0.1:6379> RANDOMKEY #随机返回一个key"userb"127.0.0.1:6379> RANDOMKEY"k3"127.0.0.1:6379> RANDOMKEY"k1"
127.0.0.1:6379> RENAME set1 setc #RENAME表示重命名keyOK 127.0.0.1:6379> KEYS set* 1) "set3"2) "seta"3) "set5"4) "set4"5) "setc"
127.0.0.1:6379> TYPE zset1 #TYPE查看key类型zset 127.0.0.1:6379> TYPE list1 list 127.0.0.1:6379> TYPE setcset
127.0.0.1:6379> DBSIZE #DBSIZE返回当前数据库中key的数量(integer) 14
127.0.0.1:6379> INFO #返回redis数据库状态信息# Serverredis_version:4.0.11 redis_git_sha1:00000000 redis_git_dirty:0 redis_build_id:f1b08454f8b4e56c redis_mode:standalone os:Linux 3.10.0-693.el7.x86_64 x86_64 arch_bits:64 multiplexing_api:epoll atomicvar_api:atomic-builtin gcc_version:4.8.5 process_id:36457 run_id:d580da83e18929d6b37d826991dc705172de928c tcp_port:6379 uptime_in_seconds:24729 uptime_in_days:0 hz:10 lru_clock:3752638 executable:/usr/local/src/redis-4.0.11/redis-server config_file:/etc/redis.conf# Clientsconnected_clients:1 client_longest_output_list:0 client_biggest_input_buf:0 blocked_clients:0# Memoryused_memory:851096 used_memory_human:831.15K used_memory_rss:7970816 used_memory_rss_human:7.60M used_memory_peak:851096 used_memory_peak_human:831.15K used_memory_peak_perc:100.08% used_memory_overhead:837134 used_memory_startup:786584 used_memory_dataset:13962 used_memory_dataset_perc:21.64% total_system_memory:3958075392 total_system_memory_human:3.69G used_memory_lua:37888 used_memory_lua_human:37.00K maxmemory:0 maxmemory_human:0B maxmemory_policy:noeviction mem_fragmentation_ratio:9.36 mem_allocator:jemalloc-4.0.3 active_defrag_running:0 lazyfree_pending_objects:0# Persistenceloading:0 rdb_changes_since_last_save:3 rdb_bgsave_in_progress:0 rdb_last_save_time:1530478637 rdb_last_bgsave_status:ok rdb_last_bgsave_time_sec:0 rdb_current_bgsave_time_sec:-1 rdb_last_cow_size:6545408 aof_enabled:1 aof_rewrite_in_progress:0 aof_rewrite_scheduled:0 aof_last_rewrite_time_sec:-1 aof_current_rewrite_time_sec:-1 aof_last_bgrewrite_status:ok aof_last_write_status:ok aof_last_cow_size:0 aof_current_size:3560 aof_base_size:0 aof_pending_rewrite:0 aof_buffer_length:0 aof_rewrite_buffer_length:0 aof_pending_bio_fsync:0 aof_delayed_fsync:0# Statstotal_connections_received:2 total_commands_processed:211 instantaneous_ops_per_sec:0 total_net_input_bytes:7390 total_net_output_bytes:24177 instantaneous_input_kbps:0.00 instantaneous_output_kbps:0.00 rejected_connections:0 sync_full:0 sync_partial_ok:0 sync_partial_err:0 expired_keys:4 expired_stale_perc:0.00 expired_time_cap_reached_count:0 evicted_keys:0 keyspace_hits:97 keyspace_misses:10 pubsub_channels:0 pubsub_patterns:0 latest_fork_usec:927 migrate_cached_sockets:0 slave_expires_tracked_keys:0 active_defrag_hits:0 active_defrag_misses:0 active_defrag_key_hits:0 active_defrag_key_misses:0# Replicationrole:master connected_slaves:0 master_replid:91c7968e04d1852516098681ea3bbd3e052b4252 master_replid2:0000000000000000000000000000000000000000 master_repl_offset:0 second_repl_offset:-1 repl_backlog_active:0 repl_backlog_size:1048576 repl_backlog_first_byte_offset:0 repl_backlog_histlen:0# CPUused_cpu_sys:17.50 used_cpu_user:8.47 used_cpu_sys_children:0.32 used_cpu_user_children:0.00# Clustercluster_enabled:0# Keyspacedb0:keys=14,expires=0,avg_ttl=0 db1:keys=1,expires=0,avg_ttl=0
127.0.0.1:6379> FLUSHDB #FLUSHDB清空当前数据库中全部的keyOK 127.0.0.1:6379> KEYS *(empty list or set)
127.0.0.1:6379> FLUSHALL #FLUSHALL清空全部库中全部的keyOK 127.0.0.1:6379> KEYS *(empty list or set)127.0.0.1:6379> SELECT 1 OK 127.0.0.1:6379[1]> KEYS *(empty list or set)
127.0.0.1:6379> BGSAVE #保存数据到磁盘，在后台运行Background saving started
127.0.0.1:6379> save #保存数据到磁盘，在前台运行OK
127.0.0.1:6379> CONFIG GET * #获取全部配置参数
127.0.0.1:6379> CONFIG GET dir #获取配置参数1) "dir"2) "/data/redis"127.0.0.1:6379> CONFIG GET dbfilename 1) "dbfilename"2) "dump.rdb"
127.0.0.1:6379> CONFIG SET timeout 100 #更改配置参数OK 127.0.0.1:6379> CONFIG GET timeout1) "timeout"2) "100"
redis数据恢复：首先定义或者肯定dir目录和dbfilename，而后把备份的rdb文件放到dir目录下面，重启redis服务便可恢复数据。
# vim /etc/redis.confbind 127.0.0.1 192.168.1.1 #设置内网IP，能够是多个，用空格分隔
# vim /etc/redis.confport 16000 #不要设置为默认端口6379
# vim /etc/redis.confrequirepass 123123 #密码为123123# redis-cli -a '123123' #重启服务以后再次登陆redis
# vim /etc/redis.confrename-command CONFIG lzx #把config命令改成lzx命令，保存退出重启服务
# vim /etc/redis.confrename-command CONFIG "" #保存退出重启服务
# vim /etc/redis.conf #默认配置slowlog-log-slower-than 10000 //单位：μs，即10ms slowlog-max-len 128
针对慢查询日志，能够设置两个参数，一个是执行时长，另外一个是慢查询日志的长度。当一个新的命令被写入日志时，最老的一条会从命令日志队列中移除出去。
在redis命令行下，
slowlog get #列出全部的慢查询日志slowlog get 2 #只列出2条slowlog len #查看慢查询日志条数
# cd /usr/local/src/# wget https://codeload.github.com/phpredis/phpredis/zip/develop# mv develop phpredis.zip# unzip phpredis.zip# cd phpredis-develop/# /usr/local/php-fpm/bin/phpize
# ./configure --with-php-config=/usr/local/php-fpm/bin/php-config # echo $?0# make# echo $?0# make install# echo $?0# vim /usr/local/php-fpm/etc/php.ini #增长一行extension=redis.so# /usr/local/php-fpm/bin/php -m[PHP Modules]Core ctypecurldatedom ereg exif fileinfo filterftpgdhashiconvjson libxml mbstring mcrypt mysql openssl pcre PDO pdo_sqlite Phar posix redis #有redis说明没问题Reflection session SimpleXML soap SPL sqlite3 standard tokenizer xml xmlreader xmlwriter zlib[Zend Modules]# /etc/init.d/php-fpm restart #重启php-fpm服务Gracefully shutting down php-fpm . doneStarting php-fpm done
# vim /usr/local/php-fpm/etc/php-fpm.confphp_value[session.save_handler] = redis php_value[session.save_path] = "tcp://127.0.0.1:6379"
# vim session.php #写入下面内容<?php
session_start();if (!isset($_SESSION['TEST'])) {$_SESSION['TEST'] = time();}$_SESSION['TEST3'] = time();print $_SESSION['TEST'];print "
";print $_SESSION['TEST3'];print "
";print session_id();?># mv session.php /usr/local/nginx/html/
# curl localhost/session.php 1530489156<br><br>1530489156<br><br>st5k899dgb370g9ul54kalhf14# curl localhost/session.php1530489158<br><br>1530489158<br><br>nt89nio8q5s81imr51op8as6i4# curl localhost/session.php1530489159<br><br>1530489159<br><br>fjn7oi5tn0dmus2fds18earvr6# curl localhost/session.php1530489160<br><br>1530489160<br><br>gpc9vtajh3sdsv7h0hufmembb7# curl localhost/session.php1530489163<br><br>1530489163<br><br>q03c4qq5j6ts781d5su3lmqr73# redis-cli127.0.0.1:6379> KEYS * 1) "PHPREDIS_SESSION:gpc9vtajh3sdsv7h0hufmembb7"2) "PHPREDIS_SESSION:q03c4qq5j6ts781d5su3lmqr73"3) "PHPREDIS_SESSION:nt89nio8q5s81imr51op8as6i4"4) "PHPREDIS_SESSION:st5k899dgb370g9ul54kalhf14"5) "PHPREDIS_SESSION:fjn7oi5tn0dmus2fds18earvr6"127.0.0.1:6379> GET PHPREDIS_SESSION:fjn7oi5tn0dmus2fds18earvr6 #查询对应key的value"TEST|i:1530489159;TEST3|i:1530489159;" #查出来的这个value能够和上面curl出来的对应
这就说明，咱们上面的配置没有问题，Redis中保存了session。
Redis的主从配置比MySQL的主从配置要简单，这里为了方便测试，我直接在一台机器上配置。
# cp /etc/redis.conf /etc/redis2.conf# vim !$port 6380 #不能与主冲突pidfile /var/run/redis_6380.pid #pid文件不能相同logfile "/var/log/redis2.log" #日志文件不能相同dir /data/redis2 #dir不能相同slaveof 127.0.0.1 6379 #说明它是哪一个的从，salveof 主IP 主服务端口
若是主上设置了密码，那么从也须要增长一行：
masterauth 123123 #设置从的密码，假设主的密码为123123
# mkdir /data/redis2# redis-server /etc/redis2.conf# ps aux |grep redisroot 36457 0.1 0.2 147356 9900 ? Ssl 7月01 0:39 redis-server 127.0.0.1:6379 root 81816 1.0 0.2 147356 9720 ? Ssl 08:16 0:00 redis-server 127.0.0.1:6380
从不须要手动去同步数据，它会自动同步主上面的数据：
# redis-cli127.0.0.1:6379> KEYS *(empty list or set)127.0.0.1:6379> set key1 10 OK 127.0.0.1:6379> KEYS * 1) "key1"127.0.0.1:6379> set key2 100 OK# redis-cli -h 127.0.0.1 -p 6380127.0.0.1:6380> KEYS * 1) "key1"2) "key2" #能够看到刚刚在主上建立的key，在从上能够看到127.0.0.1:6380> CONFIG GET dir1) "dir"2) "/data/redis2"127.0.0.1:6380> CONFIG GET dbfilename 1) "dbfilename"2) "dump.rdb"127.0.0.1:6380> set key3 aaa(error) READONLY You can't write against a read only slave. #slave上不能够写入数据，配置文件里面有定义
整个过程十分简单，Redis主从配置完成。
当数据量达到很大时，单台的Redis服务器是没法知足需求的，这时候，就须要对Redis进行集群，由多台机器组成分布式的Redis集群，这样新增节点很是方便。
Redis集群有如下特色：
1. 多个redis节点网络互联，数据共享 2. 全部的节点都是一主一从（也能够是一主多从），其中从不提供服务，仅做为备用 3. 不支持同时处理多个key（如MSET/MGET），由于redis须要把key均匀分布在各个节点上， 并发量很高的状况下同时建立key-value会下降性能并致使不可预测的行为 4. 支持在线增长、删除节点 5. 客户端能够连任何一个主节点进行读写
场景设置：
两台机器，关闭防火墙和SElinux，分别开启三个redis服务（端口） 机器A：192.168.100.150 7000 7002 7004 机器B：192.168.100.160 7001 7003 7005
# cd /etc/# vim redis_7000.confport 7000 bind 192.168.100.150 daemonize yespidfile /var/run/redis_7000.piddir /data/redis_data/7000 cluster-enabled yescluster-config-file nodes_7000.conf cluster-node-timeout 10100 appendonly yes
# vim redis_7002.confport 7002 bind 192.168.100.150 daemonize yespidfile /var/run/redis_7002.piddir /data/redis_data/7002 cluster-enabled yescluster-config-file nodes_7002.conf cluster-node-timeout 10100 appendonly yes
# vim redis_7004.confport 7004 bind 192.168.100.150 daemonize yespidfile /var/run/redis_7004.piddir /data/redis_data/7004 cluster-enabled yescluster-config-file nodes_7004.conf cluster-node-timeout 10100 appendonly yes
# mkdir -p /data/redis_data/{7000,7002,7004}# redis-server /etc/redis_7000.conf #启动7000端口的redis服务13375:C 23 Aug 21:37:11.272 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo13375:C 23 Aug 21:37:11.272 # Redis version=4.0.11, bits=64, commit=00000000, modified=0, pid=13375, just started13375:C 23 Aug 21:37:11.272 # Configuration loaded# redis-server /etc/redis_7002.conf #启动7002端口的redis服务13380:C 23 Aug 21:38:18.483 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo13380:C 23 Aug 21:38:18.483 # Redis version=4.0.11, bits=64, commit=00000000, modified=0, pid=13380, just started13380:C 23 Aug 21:38:18.483 # Configuration loaded# redis-server /etc/redis_7004.conf #启动7004端口的redis服务13385:C 23 Aug 21:38:23.564 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo13385:C 23 Aug 21:38:23.564 # Redis version=4.0.11, bits=64, commit=00000000, modified=0, pid=13385, just started13385:C 23 Aug 21:38:23.564 # Configuration loaded # ps aux |grep redisroot 13376 0.1 0.1 145312 7572 ? Ssl 21:37 0:00 redis-server 192.168.100.150:7000 [cluster]root 13381 0.1 0.1 145312 7572 ? Ssl 21:38 0:00 redis-server 192.168.100.150:7002 [cluster]root 13386 0.1 0.1 145312 7576 ? Ssl 21:38 0:00 redis-server 192.168.100.150:7004 [cluster]
# cd /etc/# vim redis_7001.confport 7001 bind 192.168.100.160 daemonize yespidfile /var/run/redis_7001.piddir /data/redis_data/7001 cluster-enabled yescluster-config-file nodes_7001.conf cluster-node-timeout 10100 appendonly yes
# vim redis_7003.confport 7003 bind 192.168.100.160 daemonize yespidfile /var/run/redis_7003.piddir /data/redis_data/7003 cluster-enabled yescluster-config-file nodes_7003.conf cluster-node-timeout 10100 appendonly yes
# vim redis_7005.confport 7005 bind 192.168.100.160 daemonize yespidfile /var/run/redis_7005.piddir /data/redis_data/7005 cluster-enabled yescluster-config-file nodes_7005.conf cluster-node-timeout 10100 appendonly yes
# mkdir -p /data/redis_data/{7001,7003,7005}# redis-server /etc/redis_7001.conf #启动7001端口的redis服务1855:C 23 Aug 21:39:43.723 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo1855:C 23 Aug 21:39:43.723 # Redis version=4.0.11, bits=64, commit=00000000, modified=0, pid=1855, just started1855:C 23 Aug 21:39:43.723 # Configuration loaded# redis-server /etc/redis_7003.conf ##启动7003端口的redis服务1860:C 23 Aug 21:39:48.375 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo1860:C 23 Aug 21:39:48.376 # Redis version=4.0.11, bits=64, commit=00000000, modified=0, pid=1860, just started1860:C 23 Aug 21:39:48.376 # Configuration loaded# redis-server /etc/redis_7005.conf #启动7005端口的redis服务1865:C 23 Aug 21:39:52.655 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo1865:C 23 Aug 21:39:52.656 # Redis version=4.0.11, bits=64, commit=00000000, modified=0, pid=1865, just started1865:C 23 Aug 21:39:52.656 # Configuration loaded# ps aux |grep redisroot 1856 0.1 0.1 145312 7576 ? Ssl 21:39 0:00 redis-server 192.168.100.160:7001 [cluster]root 1861 0.1 0.1 145312 7576 ? Ssl 21:39 0:00 redis-server 192.168.100.160:7003 [cluster]root 1866 0.1 0.1 145312 7576 ? Ssl 21:39 0:00 redis-server 192.168.100.160:7005 [cluster]
# yum -y groupinstall "Development Tools"# yum install -y gdbm-devel libdb4-devel libffi-devel libyaml libyaml-devel ncurses-devel openssl-devel readline-devel tcl-devel# mkdir -p rpmbuild/{BUILD,BUILDROOT,RPMS,SOURCES,SPECS,SRPMS}# wget http://cache.ruby-lang.org/pub/ruby/2.2/ruby-2.2.3.tar.gz -P rpmbuild/SOURCES# wget http://raw.githubusercontent.com/tjinjin/automate-ruby-rpm/master/ruby22x.spec -P rpmbuild/SPECS# rpmbuild -bb rpmbuild/SPECS/ruby22x.spec # ls rpmbuild/RPMS/x86_64/ruby-2.2.3-1.el7.centos.x86_64.rpm rpmbuild/RPMS/x86_64/ruby-2.2.3-1.el7.centos.x86_64.rpm# yum localinstall -y rpmbuild/RPMS/x86_64/ruby-2.2.3-1.el7.centos.x86_64.rpm #也能够rpm -ivh方式安装# gem install redis #主要是为了安装这个，用来配置集群Fetching: redis-4.0.2.gem (100%)Successfully installed redis-4.0.2
Parsing documentation for redis-4.0.2
Installing ri documentation for redis-4.0.2
Done installing documentation for redis after 1 seconds
1 gem installed
# cp /usr/local/src/redis-4.0.11/src/redis-trib.rb /usr/bin/# redis-trib.rb create --replicas 1 192.168.100.150:7000 192.168.100.150:7002 192.168.100.150:7004 192.168.100.160:7001 192.168.100.160:7003 192.168.100.160:7005 #上面的一切都是为了这条命令可以顺利执行>>> Creating cluster>>> Performing hash slots allocation on 6 nodes... Using 3 masters: 192.168.100.150:7000 192.168.100.160:7001 192.168.100.150:7002 #三个主分别是7000，7001,7002Adding replica 192.168.100.160:7005 to 192.168.100.150:7000 #7005是7000的从Adding replica 192.168.100.150:7004 to 192.168.100.160:7001 #7004是7001的从Adding replica 192.168.100.160:7003 to 192.168.100.150:7002 #7003是7002的从M: c007437678a379cd57e811843811e5b047337457 192.168.100.150:7000 slots:0-5460 (5461 slots) master M: 6d53d46c401de9804c1fd48c07685f22d693f39c 192.168.100.150:7002 slots:10923-16383 (5461 slots) master S: 9866e7651c9e26a533112e96f578477293de9670 192.168.100.150:7004 replicates 0550a444f45604dfc1f01191df67f513d5c5fc5b M: 0550a444f45604dfc1f01191df67f513d5c5fc5b 192.168.100.160:7001 slots:5461-10922 (5462 slots) master S: 3cb24dc6d295fa9c261e36df67fda11151de7ef7 192.168.100.160:7003 replicates 6d53d46c401de9804c1fd48c07685f22d693f39c S: bfc152ca2c9d140d980e3b8c3c1868239e32efe8 192.168.100.160:7005 replicates c007437678a379cd57e811843811e5b047337457 Can I set the above configuration? (type 'yes' to accept): yes #输入yes表示接受上面配置>>> Nodes configuration updated>>> Assign a different config epoch to each node>>> Sending CLUSTER MEET messages to join the cluster Waiting for the cluster to join.....>>> Performing Cluster Check (using node 192.168.100.150:7000)M: c007437678a379cd57e811843811e5b047337457 192.168.100.150:7000 slots:0-5460 (5461 slots) master 1 additional replica(s)S: bfc152ca2c9d140d980e3b8c3c1868239e32efe8 192.168.100.160:7005 slots: (0 slots) slave replicates c007437678a379cd57e811843811e5b047337457 S: 3cb24dc6d295fa9c261e36df67fda11151de7ef7 192.168.100.160:7003 slots: (0 slots) slave replicates 6d53d46c401de9804c1fd48c07685f22d693f39c M: 0550a444f45604dfc1f01191df67f513d5c5fc5b 192.168.100.160:7001 slots:5461-10922 (5462 slots) master 1 additional replica(s)S: 9866e7651c9e26a533112e96f578477293de9670 192.168.100.150:7004 slots: (0 slots) slave replicates 0550a444f45604dfc1f01191df67f513d5c5fc5b M: 6d53d46c401de9804c1fd48c07685f22d693f39c 192.168.100.150:7002 slots:10923-16383 (5461 slots) master 1 additional replica(s)[OK] All nodes agree about slots configuration.>>> Check for open slots...>>> Check slots coverage...[OK] All 16384 slots covered. #执行成功，集群搭建完毕# echo $?0
# redis-cli -c -h 192.168.100.150 -p 7000 #-c表示使用集群方式登陆192.168.100.150:7000> set key1 123 -> Redirected to slot [9189] located at 192.168.100.160:7001 #说明定位到7001上OK 192.168.100.160:7001> set key2 abc -> Redirected to slot [4998] located at 192.168.100.150:7000 #说明又定位到7000上OK 192.168.100.150:7000> set key3 aaa #没有提示表示回到了本机OK 192.168.100.150:7000> get key1 -> Redirected to slot [9189] located at 192.168.100.160:7001 "123"192.168.100.160:7001> get key2 -> Redirected to slot [4998] located at 192.168.100.150:7000"abc"
192.168.100.150:7000> CLUSTER NODES #列出节点bfc152ca2c9d140d980e3b8c3c1868239e32efe8 192.168.100.160:7005@17005 slave c007437678a379cd57e811843811e5b047337457 0 1535036884135 6 connected 3cb24dc6d295fa9c261e36df67fda11151de7ef7 192.168.100.160:7003@17003 slave 6d53d46c401de9804c1fd48c07685f22d693f39c 0 1535036885139 5 connected 0550a444f45604dfc1f01191df67f513d5c5fc5b 192.168.100.160:7001@17001 master - 0 1535036885140 4 connected 5461-10922 c007437678a379cd57e811843811e5b047337457 192.168.100.150:7000@17000 myself,master - 0 1535036884000 1 connected 0-5460 9866e7651c9e26a533112e96f578477293de9670 192.168.100.150:7004@17004 slave 0550a444f45604dfc1f01191df67f513d5c5fc5b 0 1535036885000 4 connected 6d53d46c401de9804c1fd48c07685f22d693f39c 192.168.100.150:7002@17002 master - 0 1535036886147 2 connected 10923-16383 192.168.100.150:7000> CLUSTER info #查看集群信息cluster_state:ok cluster_slots_assigned:16384 cluster_slots_ok:16384 cluster_slots_pfail:0 cluster_slots_fail:0 cluster_known_nodes:6 cluster_size:3 cluster_current_epoch:6 cluster_my_epoch:1 cluster_stats_messages_ping_sent:1021 cluster_stats_messages_pong_sent:967 cluster_stats_messages_sent:1988 cluster_stats_messages_ping_received:962 cluster_stats_messages_pong_received:1021 cluster_stats_messages_meet_received:5 cluster_stats_messages_received:1988 192.168.100.150:7000> CLUSTER MEET 192.168.100.160 7007 #添加节点，进行这一步以前，先在B机器上配置好7007服务OK 192.168.100.150:7000> CLUSTER NODES bfc152ca2c9d140d980e3b8c3c1868239e32efe8 192.168.100.160:7005@17005 slave c007437678a379cd57e811843811e5b047337457 0 1535037337457 6 connected 247db306c69342ce8642e2a276199349aa25c6e7 192.168.100.160:7007@17007 master - 0 1535037335448 0 connected #以master身份添加进来3cb24dc6d295fa9c261e36df67fda11151de7ef7 192.168.100.160:7003@17003 slave 6d53d46c401de9804c1fd48c07685f22d693f39c 0 1535037335000 5 connected 0550a444f45604dfc1f01191df67f513d5c5fc5b 192.168.100.160:7001@17001 master - 0 1535037335000 4 connected 5461-10922 c007437678a379cd57e811843811e5b047337457 192.168.100.150:7000@17000 myself,master - 0 1535037333000 1 connected 0-5460 9866e7651c9e26a533112e96f578477293de9670 192.168.100.150:7004@17004 slave 0550a444f45604dfc1f01191df67f513d5c5fc5b 0 1535037336000 4 connected 6d53d46c401de9804c1fd48c07685f22d693f39c 192.168.100.150:7002@17002 master - 0 1535037337000 2 connected 10923-16383 192.168.100.150:7000> CLUSTER MEET 192.168.100.150 7006 #进行这一步以前，先在A机器上配置好7006服务OK 192.168.100.150:7000> CLUSTER NODES bfc152ca2c9d140d980e3b8c3c1868239e32efe8 192.168.100.160:7005@17005 slave c007437678a379cd57e811843811e5b047337457 0 1535037595784 6 connected 247db306c69342ce8642e2a276199349aa25c6e7 192.168.100.160:7007@17007 master - 0 1535037596790 0 connected 3cb24dc6d295fa9c261e36df67fda11151de7ef7 192.168.100.160:7003@17003 slave 6d53d46c401de9804c1fd48c07685f22d693f39c 0 1535037595000 5 connected 0550a444f45604dfc1f01191df67f513d5c5fc5b 192.168.100.160:7001@17001 master - 0 1535037596087 4 connected 5461-10922 c007437678a379cd57e811843811e5b047337457 192.168.100.150:7000@17000 myself,master - 0 1535037596000 1 connected 0-5460 9866e7651c9e26a533112e96f578477293de9670 192.168.100.150:7004@17004 slave 0550a444f45604dfc1f01191df67f513d5c5fc5b 0 1535037595079 4 connected 6d53d46c401de9804c1fd48c07685f22d693f39c 192.168.100.150:7002@17002 master - 0 1535037595000 2 connected 10923-16383 a9fbe573f52ac2aa272963ff89131f0246055cfc 192.168.100.150:7006@17006 master - 0 1535037597793 0 connected #以master身份添加进来# redis-cli -c -h 192.168.100.150 -p 7006192.168.100.150:7006> CLUSTER REPLICATE 247db306c69342ce8642e2a276199349aa25c6e7 #将当前节点设置为指定节点的从，更改7006为7007的从，后面随机字符串为node_idOK 192.168.100.150:7006> CLUSTER NODES 0550a444f45604dfc1f01191df67f513d5c5fc5b 192.168.100.160:7001@17001 master - 0 1535037791000 4 connected 5461-10922 bfc152ca2c9d140d980e3b8c3c1868239e32efe8 192.168.100.160:7005@17005 slave c007437678a379cd57e811843811e5b047337457 0 1535037790000 1 connected 6d53d46c401de9804c1fd48c07685f22d693f39c 192.168.100.150:7002@17002 master - 0 1535037790000 2 connected 10923-16383 3cb24dc6d295fa9c261e36df67fda11151de7ef7 192.168.100.160:7003@17003 slave 6d53d46c401de9804c1fd48c07685f22d693f39c 0 1535037791000 2 connected a9fbe573f52ac2aa272963ff89131f0246055cfc 192.168.100.150:7006@17006 myself,slave 247db306c69342ce8642e2a276199349aa25c6e7 0 1535037791000 0 connected c007437678a379cd57e811843811e5b047337457 192.168.100.150:7000@17000 master - 0 1535037790742 1 connected 0-5460 247db306c69342ce8642e2a276199349aa25c6e7 192.168.100.160:7007@17007 master - 0 1535037791749 7 connected 9866e7651c9e26a533112e96f578477293de9670 192.168.100.150:7004@17004 slave 0550a444f45604dfc1f01191df67f513d5c5fc5b 0 1535037792751 4 connected 192.168.100.150:7006> CLUSTER FORGET 247db306c69342ce8642e2a276199349aa25c6e7 #删除指定节点，但没法删除master节点，并且不能删除自己节点（登陆节点）(error) ERR Can't forget my master!192.168.100.150:7006> CLUSTER FORGET bfc152ca2c9d140d980e3b8c3c1868239e32efe8 #删除7005节点OK 192.168.100.150:7006> CLUSTER NODES 0550a444f45604dfc1f01191df67f513d5c5fc5b 192.168.100.160:7001@17001 master - 0 1535038150000 4 connected 5461-10922 6d53d46c401de9804c1fd48c07685f22d693f39c 192.168.100.150:7002@17002 master - 0 1535038151864 2 connected 10923-16383 3cb24dc6d295fa9c261e36df67fda11151de7ef7 192.168.100.160:7003@17003 slave 6d53d46c401de9804c1fd48c07685f22d693f39c 0 1535038150860 2 connected a9fbe573f52ac2aa272963ff89131f0246055cfc 192.168.100.150:7006@17006 myself,slave 247db306c69342ce8642e2a276199349aa25c6e7 0 1535038151000 0 connected c007437678a379cd57e811843811e5b047337457 192.168.100.150:7000@17000 master - 0 1535038152867 1 connected 0-5460 247db306c69342ce8642e2a276199349aa25c6e7 192.168.100.160:7007@17007 master - 0 1535038151000 7 connected 9866e7651c9e26a533112e96f578477293de9670 192.168.100.150:7004@17004 slave 0550a444f45604dfc1f01191df67f513d5c5fc5b 0 1535038151000 4 connected# ls /data/redis_data/7000appendonly.aof dump.rdb nodes_7000.conf# redis-cli -c -h 192.168.100.150 -p 7000192.168.100.150:7000> CLUSTER SAVECONFIG #保存当前全部配置OK# cat /data/redis_data/7000/nodes_7000.conf bfc152ca2c9d140d980e3b8c3c1868239e32efe8 192.168.100.160:7005@17005 slave c007437678a379cd57e811843811e5b047337457 0 1535038376000 6 connected 247db306c69342ce8642e2a276199349aa25c6e7 192.168.100.160:7007@17007 master - 0 1535038377000 7 connected 3cb24dc6d295fa9c261e36df67fda11151de7ef7 192.168.100.160:7003@17003 slave 6d53d46c401de9804c1fd48c07685f22d693f39c 0 1535038376000 5 connected 0550a444f45604dfc1f01191df67f513d5c5fc5b 192.168.100.160:7001@17001 master - 0 1535038376777 4 connected 5461-10922 c007437678a379cd57e811843811e5b047337457 192.168.100.150:7000@17000 myself,master - 0 1535038375000 1 connected 0-5460 9866e7651c9e26a533112e96f578477293de9670 192.168.100.150:7004@17004 slave 0550a444f45604dfc1f01191df67f513d5c5fc5b 0 1535038378080 4 connected 6d53d46c401de9804c1fd48c07685f22d693f39c 192.168.100.150:7002@17002 master - 0 1535038378081 2 connected 10923-16383 a9fbe573f52ac2aa272963ff89131f0246055cfc 192.168.100.150:7006@17006 slave 247db306c69342ce8642e2a276199349aa25c6e7 0 1535038377779 7 connected vars currentEpoch 7 lastVoteEpoch 0 #文件内容发生变化，全部节点的配置文件都会发生变化
# redis-trib.rb check 192.168.100.150:7000>>> Performing Cluster Check (using node 192.168.100.150:7000)M: c007437678a379cd57e811843811e5b047337457 192.168.100.150:7000 slots:0-5460 (5461 slots) master 1 additional replica(s)S: bfc152ca2c9d140d980e3b8c3c1868239e32efe8 192.168.100.160:7005 slots: (0 slots) slave replicates c007437678a379cd57e811843811e5b047337457 M: 247db306c69342ce8642e2a276199349aa25c6e7 192.168.100.160:7007 slots: (0 slots) master 1 additional replica(s)S: 3cb24dc6d295fa9c261e36df67fda11151de7ef7 192.168.100.160:7003 slots: (0 slots) slave replicates 6d53d46c401de9804c1fd48c07685f22d693f39c M: 0550a444f45604dfc1f01191df67f513d5c5fc5b 192.168.100.160:7001 slots:5461-10922 (5462 slots) master 1 additional replica(s)S: 9866e7651c9e26a533112e96f578477293de9670 192.168.100.150:7004 slots: (0 slots) slave replicates 0550a444f45604dfc1f01191df67f513d5c5fc5b M: 6d53d46c401de9804c1fd48c07685f22d693f39c 192.168.100.150:7002 slots:10923-16383 (5461 slots) master 1 additional replica(s)S: a9fbe573f52ac2aa272963ff89131f0246055cfc 192.168.100.150:7006 slots: (0 slots) slave replicates 247db306c69342ce8642e2a276199349aa25c6e7[OK] All nodes agree about slots configuration.>>> Check for open slots...>>> Check slots coverage...[OK] All 16384 slots covered.
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