Centos下Redis集群的搭建实现读写分离

Centos下Redis一主多从架构搭建

　　搭建目标:因为自己笔记本电脑配置较低的原因，模拟两台机器之间搭建一主一从的架构，主节点Redis主要用来写数据，数据写入到主节点的Redis,然后从节点就可以同步主节点的所有数据，从节点只能读取数据，禁止写入任何数据，这样就可以实现主节点写数据，从节点读数据的读写分离架构，实现思路如下

1、在两台机器分别安装Redis

　　具体安装步骤，参考这篇博文安装: http://www.cnblogs.com/sunny1009/articles/7866034.html

2、主从集群配置

　　两台机器ip：

　　　　192.168.1.140-->作为主节点

　　　　192.168.1.142-->作为从节点

(1)、在6379.conf下配置，首先在142机器6379.conf上配置，slaveof标示代表此机器代表从节点

#配置主节点的ip地址
slaveof 192.168.1.140 

(2)、强制读写分离，配置子节点为只读状态，会拒绝所有的写操作

slave-read-only yes

3、集群安全认证(在主节点配置)

#master上启用安全认证
requirepass admin@master

　　admin@master为主节点的安全口令

4、从节点开启密码认证(从节点配置)

配置与主节点安全口令一致

#从节点开启密码认证
masterauth admin@master

5、分别在主节点的从节点开启Redis对外访问

#绑定本机的ip地址
bind 192.168..X
protected-mode no

6、启动主节点和从节点Redis进行验证

登录主节点Redis

cd /etc/init.d/
./redis_6379 start
redis-cli -h 192.168.1.140 -p  -a admin@master

执行命令

info replication

aaarticlea/png;base64,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" alt="" />

可以看到所属的角色和主节点下从节点的信息

登录从节点Redis

cd /etc/init.d/
./redis_6379 start
redis-cli -h 192.168.1.140 -p  -a

info replication

aaarticlea/png;base64,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" alt="" />

可以看到所属的角色和对应连接的主节点信息

查看主节点和从节点下是否有缓存key

keys *

aaarticlea/png;base64,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" alt="" />aaarticlea/png;base64,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" alt="" />

查看主节点和从节点数据都为空，没任何缓存数据

测试从节点是否能写入数据

aaarticlea/png;base64,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" alt="" />

不能写入，说明配置成功，从节点只能读数据不能写数据，如果再实现主节点写数据，将数据同步到从节点接可以实现读写分离的架构

测试往主节点写数据，查看从节点是否可以同步到从节点的数据

set key1 value1
get key1

往主节点写了一条数据，key为key1，值为value1

aaarticlea/png;base64,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" alt="" />

直接到从节点查看是否可以同步到主节点的数据

get key1

aaarticlea/png;base64,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" alt="" />发现从节点已经同步到主节点的数据了，到此，最基本的主从架构实现读写分离搭建成功，按照以上步骤还可以配置多个从节点实现一主多从的集群架构，从而实现缓存的高性能，高可用和水平扩展；当然在大流量的情况下会出现主节点或者其他从节点宕机的情况，这些后续会慢慢一步一步解决，例如:Redis的容灾备份，雪崩，哨兵等等。。。

7、对读写分离集群QPS压测

利用Redis提供的压测工具方便快捷，具体压测步骤如下

cd /usr/local/redis-3.2./src
 ./redis-benchmark -h 192.168.1.140

由于自己的集群搭建在虚拟机下，配置:单核1G的cpu，性能很差，所以采用默认参数压测即可

-c <clients>       Number of parallel connections (default 50)
-n <requests>      Total number of requests (default 100000)
-d <size>          Data size of SET/GET value in bytes (default 2)

====== PING_INLINE ======
   requests completed in 2.51 seconds
   parallel clients
   bytes payload
  keep alive: 

89.64% <=  milliseconds
98.37% <=  milliseconds
99.45% <=  milliseconds
99.59% <=  milliseconds
99.75% <=  milliseconds
99.80% <=  milliseconds
99.82% <=  milliseconds
99.85% <=  milliseconds
99.86% <=  milliseconds
99.86% <=  milliseconds
99.87% <=  milliseconds
99.89% <=  milliseconds
99.91% <=  milliseconds
99.94% <=  milliseconds
99.95% <=  milliseconds
99.95% <=  milliseconds
99.97% <=  milliseconds
100.00% <=  milliseconds
39824.77 requests per second

====== PING_BULK ======
   requests completed in 2.80 seconds
   parallel clients
   bytes payload
  keep alive: 

83.94% <=  milliseconds
96.93% <=  milliseconds
98.54% <=  milliseconds
99.04% <=  milliseconds
99.38% <=  milliseconds
99.58% <=  milliseconds
99.68% <=  milliseconds
99.73% <=  milliseconds
99.78% <=  milliseconds
99.80% <=  milliseconds
99.82% <=  milliseconds
99.83% <=  milliseconds
99.86% <=  milliseconds
99.87% <=  milliseconds
99.88% <=  milliseconds
99.94% <=  milliseconds
99.94% <=  milliseconds
99.99% <=  milliseconds
100.00% <=  milliseconds
35752.59 requests per second

====== SET ======
   requests completed in 2.70 seconds
   parallel clients
   bytes payload
  keep alive: 

86.10% <=  milliseconds
97.34% <=  milliseconds
98.72% <=  milliseconds
99.17% <=  milliseconds
99.30% <=  milliseconds
99.42% <=  milliseconds
99.47% <=  milliseconds
99.52% <=  milliseconds
99.61% <=  milliseconds
99.70% <=  milliseconds
99.79% <=  milliseconds
99.82% <=  milliseconds
99.84% <=  milliseconds
99.85% <=  milliseconds
99.88% <=  milliseconds
99.88% <=  milliseconds
99.89% <=  milliseconds
99.89% <=  milliseconds
99.93% <=  milliseconds
99.94% <=  milliseconds
99.96% <=  milliseconds
99.98% <=  milliseconds
99.98% <=  milliseconds
99.98% <=  milliseconds
100.00% <=  milliseconds
37009.62 requests per second

====== GET ======
   requests completed in 2.67 seconds
   parallel clients
   bytes payload
  keep alive: 

87.35% <=  milliseconds
97.68% <=  milliseconds
99.00% <=  milliseconds
99.26% <=  milliseconds
99.42% <=  milliseconds
99.55% <=  milliseconds
99.62% <=  milliseconds
99.69% <=  milliseconds
99.74% <=  milliseconds
99.79% <=  milliseconds
99.82% <=  milliseconds
99.83% <=  milliseconds
99.85% <=  milliseconds
99.86% <=  milliseconds
99.86% <=  milliseconds
99.91% <=  milliseconds
99.92% <=  milliseconds
99.95% <=  milliseconds
99.96% <=  milliseconds
99.96% <=  milliseconds
99.96% <=  milliseconds
99.99% <=  milliseconds
100.00% <=  milliseconds
37467.21 requests per second

====== INCR ======
   requests completed in 2.65 seconds
   parallel clients
   bytes payload
  keep alive: 

88.43% <=  milliseconds
97.81% <=  milliseconds
98.96% <=  milliseconds
99.33% <=  milliseconds
99.48% <=  milliseconds
99.49% <=  milliseconds
99.55% <=  milliseconds
99.57% <=  milliseconds
99.66% <=  milliseconds
99.76% <=  milliseconds
99.81% <=  milliseconds
99.83% <=  milliseconds
99.85% <=  milliseconds
99.87% <=  milliseconds
99.90% <=  milliseconds
99.92% <=  milliseconds
99.92% <=  milliseconds
99.94% <=  milliseconds
99.98% <=  milliseconds
100.00% <=  milliseconds
37792.89 requests per second

====== LPUSH ======
   requests completed in 2.62 seconds
   parallel clients
   bytes payload
  keep alive: 

86.97% <=  milliseconds
97.55% <=  milliseconds
99.01% <=  milliseconds
99.38% <=  milliseconds
99.47% <=  milliseconds
99.55% <=  milliseconds
99.67% <=  milliseconds
99.74% <=  milliseconds
99.75% <=  milliseconds
99.78% <=  milliseconds
99.83% <=  milliseconds
99.84% <=  milliseconds
99.86% <=  milliseconds
99.87% <=  milliseconds
99.89% <=  milliseconds
99.89% <=  milliseconds
99.89% <=  milliseconds
99.92% <=  milliseconds
99.94% <=  milliseconds
99.95% <=  milliseconds
99.97% <=  milliseconds
100.00% <=  milliseconds
38109.76 requests per second

====== RPUSH ======
   requests completed in 2.89 seconds
   parallel clients
   bytes payload
  keep alive: 

85.96% <=  milliseconds
97.12% <=  milliseconds
98.62% <=  milliseconds
99.02% <=  milliseconds
99.20% <=  milliseconds
99.45% <=  milliseconds
99.59% <=  milliseconds
99.67% <=  milliseconds
99.68% <=  milliseconds
99.72% <=  milliseconds
99.75% <=  milliseconds
99.82% <=  milliseconds
99.83% <=  milliseconds
99.86% <=  milliseconds
99.88% <=  milliseconds
99.89% <=  milliseconds
99.93% <=  milliseconds
99.94% <=  milliseconds
99.95% <=  milliseconds
99.97% <=  milliseconds
99.97% <=  milliseconds
100.00% <=  milliseconds
34650.04 requests per second

====== LPOP ======
   requests completed in 2.67 seconds
   parallel clients
   bytes payload
  keep alive: 

86.79% <=  milliseconds
97.77% <=  milliseconds
98.91% <=  milliseconds
99.28% <=  milliseconds
99.52% <=  milliseconds
99.66% <=  milliseconds
99.73% <=  milliseconds
99.80% <=  milliseconds
99.80% <=  milliseconds
99.83% <=  milliseconds
99.84% <=  milliseconds
99.86% <=  milliseconds
99.88% <=  milliseconds
99.88% <=  milliseconds
99.88% <=  milliseconds
99.90% <=  milliseconds
99.91% <=  milliseconds
99.92% <=  milliseconds
99.94% <=  milliseconds
99.95% <=  milliseconds
99.97% <=  milliseconds
100.00% <=  milliseconds
37453.18 requests per second

====== RPOP ======
   requests completed in 2.54 seconds
   parallel clients
   bytes payload
  keep alive: 

89.33% <=  milliseconds
98.10% <=  milliseconds
99.42% <=  milliseconds
99.61% <=  milliseconds
99.69% <=  milliseconds
99.78% <=  milliseconds
99.80% <=  milliseconds
99.82% <=  milliseconds
99.84% <=  milliseconds
99.86% <=  milliseconds
99.88% <=  milliseconds
99.89% <=  milliseconds
99.90% <=  milliseconds
99.91% <=  milliseconds
99.93% <=  milliseconds
99.94% <=  milliseconds
99.95% <=  milliseconds
99.98% <=  milliseconds
99.98% <=  milliseconds
100.00% <=  milliseconds
39401.10 requests per second

====== SADD ======
   requests completed in 2.38 seconds
   parallel clients
   bytes payload
  keep alive: 

89.92% <=  milliseconds
98.57% <=  milliseconds
99.48% <=  milliseconds
99.68% <=  milliseconds
99.78% <=  milliseconds
99.78% <=  milliseconds
99.79% <=  milliseconds
99.87% <=  milliseconds
99.89% <=  milliseconds
99.91% <=  milliseconds
99.91% <=  milliseconds
99.95% <=  milliseconds
99.95% <=  milliseconds
99.96% <=  milliseconds
99.99% <=  milliseconds
100.00% <=  milliseconds
41928.72 requests per second

====== SPOP ======
   requests completed in 2.69 seconds
   parallel clients
   bytes payload
  keep alive: 

85.19% <=  milliseconds
97.62% <=  milliseconds
98.98% <=  milliseconds
99.34% <=  milliseconds
99.50% <=  milliseconds
99.67% <=  milliseconds
99.73% <=  milliseconds
99.75% <=  milliseconds
99.80% <=  milliseconds
99.84% <=  milliseconds
99.88% <=  milliseconds
99.89% <=  milliseconds
99.92% <=  milliseconds
99.94% <=  milliseconds
99.96% <=  milliseconds
99.97% <=  milliseconds
100.00% <=  milliseconds
37133.31 requests per second

====== LPUSH (needed to benchmark LRANGE) ======
   requests completed in 2.50 seconds
   parallel clients
   bytes payload
  keep alive: 

88.30% <=  milliseconds
98.12% <=  milliseconds
99.26% <=  milliseconds
99.40% <=  milliseconds
99.52% <=  milliseconds
99.62% <=  milliseconds
99.63% <=  milliseconds
99.71% <=  milliseconds
99.80% <=  milliseconds
99.81% <=  milliseconds
99.83% <=  milliseconds
99.86% <=  milliseconds
99.86% <=  milliseconds
99.88% <=  milliseconds
99.91% <=  milliseconds
99.91% <=  milliseconds
99.93% <=  milliseconds
100.00% <=  milliseconds
39952.06 requests per second

====== LRANGE_100 (first  elements) ======
   requests completed in 2.63 seconds
   parallel clients
   bytes payload
  keep alive: 

88.45% <=  milliseconds
97.64% <=  milliseconds
98.84% <=  milliseconds
99.06% <=  milliseconds
99.26% <=  milliseconds
99.34% <=  milliseconds
99.41% <=  milliseconds
99.46% <=  milliseconds
99.59% <=  milliseconds
99.61% <=  milliseconds
99.65% <=  milliseconds
99.69% <=  milliseconds
99.70% <=  milliseconds
99.72% <=  milliseconds
99.75% <=  milliseconds
99.79% <=  milliseconds
99.83% <=  milliseconds
99.84% <=  milliseconds
99.86% <=  milliseconds
99.89% <=  milliseconds
99.89% <=  milliseconds
99.91% <=  milliseconds
99.93% <=  milliseconds
99.94% <=  milliseconds
99.99% <=  milliseconds
99.99% <=  milliseconds
100.00% <=  milliseconds
100.00% <=  milliseconds
38022.81 requests per second

====== LRANGE_300 (first  elements) ======
   requests completed in 2.91 seconds
   parallel clients
   bytes payload
  keep alive: 

84.62% <=  milliseconds
95.68% <=  milliseconds
97.95% <=  milliseconds
98.55% <=  milliseconds
98.94% <=  milliseconds
99.16% <=  milliseconds
99.34% <=  milliseconds
99.44% <=  milliseconds
99.52% <=  milliseconds
99.63% <=  milliseconds
99.65% <=  milliseconds
99.70% <=  milliseconds
99.74% <=  milliseconds
99.77% <=  milliseconds
99.79% <=  milliseconds
99.83% <=  milliseconds
99.83% <=  milliseconds
99.86% <=  milliseconds
99.90% <=  milliseconds
99.92% <=  milliseconds
99.92% <=  milliseconds
99.96% <=  milliseconds
99.98% <=  milliseconds
100.00% <=  milliseconds
34411.56 requests per second

====== LRANGE_500 (first  elements) ======
   requests completed in 2.61 seconds
   parallel clients
   bytes payload
  keep alive: 

87.74% <=  milliseconds
98.11% <=  milliseconds
99.33% <=  milliseconds
99.46% <=  milliseconds
99.56% <=  milliseconds
99.62% <=  milliseconds
99.69% <=  milliseconds
99.76% <=  milliseconds
99.79% <=  milliseconds
99.82% <=  milliseconds
99.83% <=  milliseconds
99.84% <=  milliseconds
99.87% <=  milliseconds
99.88% <=  milliseconds
99.89% <=  milliseconds
99.92% <=  milliseconds
99.93% <=  milliseconds
99.94% <=  milliseconds
99.94% <=  milliseconds
99.95% <=  milliseconds
99.98% <=  milliseconds
99.98% <=  milliseconds
100.00% <=  milliseconds
38372.98 requests per second

====== LRANGE_600 (first  elements) ======
   requests completed in 2.61 seconds
   parallel clients
   bytes payload
  keep alive: 

86.53% <=  milliseconds
97.54% <=  milliseconds
98.95% <=  milliseconds
99.41% <=  milliseconds
99.64% <=  milliseconds
99.79% <=  milliseconds
99.80% <=  milliseconds
99.85% <=  milliseconds
99.88% <=  milliseconds
99.89% <=  milliseconds
99.89% <=  milliseconds
99.91% <=  milliseconds
99.93% <=  milliseconds
99.94% <=  milliseconds
99.98% <=  milliseconds
100.00% <=  milliseconds
38328.86 requests per second

====== MSET ( keys) ======
   requests completed in 2.83 seconds
   parallel clients
   bytes payload
  keep alive: 

82.10% <=  milliseconds
95.96% <=  milliseconds
98.25% <=  milliseconds
98.87% <=  milliseconds
99.25% <=  milliseconds
99.34% <=  milliseconds
99.48% <=  milliseconds
99.49% <=  milliseconds
99.57% <=  milliseconds
99.60% <=  milliseconds
99.65% <=  milliseconds
99.76% <=  milliseconds
99.77% <=  milliseconds
99.83% <=  milliseconds
99.85% <=  milliseconds
99.86% <=  milliseconds
99.88% <=  milliseconds
99.88% <=  milliseconds
99.89% <=  milliseconds
99.91% <=  milliseconds
99.94% <=  milliseconds
99.95% <=  milliseconds
99.95% <=  milliseconds
99.97% <=  milliseconds
100.00% <=  milliseconds
35298.27 requests per second

测试结果分析：并发模拟Redis一列列的命令执行发送请求响应的时间