Redis【性能 02】Redis-5.0.14伪集群和Docker集群搭建及延迟和性能测试（均无法提升性能）-阿里云开发者社区

1.伪集群搭建

1.1 环境

使用的是腾讯的云服务器1核心2G内存50G存储，系统信息如下：

[root@tcloud ~]# rpm -qi centos-release
Name        : centos-release
Version     : 7
Release     : 9.2009.1.el7.centos
Architecture: x86_64
Install Date: Tue 19 Jan 2021 06:23:16 PM CST
Group       : System Environment/Base
Size        : 44787
License     : GPLv2
Signature   : RSA/SHA256, Thu 03 Dec 2020 12:35:28 AM CST, Key ID 24c6a8a7f4a80eb5
Source RPM  : centos-release-7-9.2009.1.el7.centos.src.rpm
Build Date  : Mon 23 Nov 2020 11:08:41 PM CST
Build Host  : x86-01.bsys.centos.org
Relocations : (not relocatable)
Packager    : CentOS BuildSystem <http://bugs.centos.org>
Vendor      : CentOS
Summary     : CentOS Linux release file
Description :
CentOS Linux release files

1.2 搭建

每个Redis节点必须要有一个备机，例如搭建3个节点的集群就要有6个Redis实例。
数据按照slots分布式存储在不同的Redis节点上，节点中的数据可共享，可以动态调整数据的分布。
可扩展性强，可以动态增删节点，最多可扩展1000+节点。

1.2.1 集群配置

使用相对性能较好的5.0.14版本进行搭建：

# 1.复制单机版并修改配置
cp -r ./redis-5.0.14 ./redis-5.0.14-0
# 修改【redis-5.0.14-0】的配置信息如下
################################## NETWORK #####################################
protected-mode no
port 6370
################################# GENERAL #####################################
daemonize yes
################################ REDIS CLUSTER  ###############################
cluster-enabled yes
cluster-config-file nodes-6370.conf
cluster-node-timeout 15000

1.2.2 生成其他5个节点配置

# 2.复制5个节点并修改配置
cp -r ./redis-5.0.14-0 ./redis-5.0.14-1
cp -r ./redis-5.0.14-0 ./redis-5.0.14-2
cp -r ./redis-5.0.14-0 ./redis-5.0.14-3
cp -r ./redis-5.0.14-0 ./redis-5.0.14-4
cp -r ./redis-5.0.14-0 ./redis-5.0.14-5
# 修改每个节点的配置
sed 's/6370/6371/g' ./redis-5.0.14-1/redis.conf > ./redis-5.0.14-1/redis-6371.conf
sed 's/6370/6372/g' ./redis-5.0.14-2/redis.conf > ./redis-5.0.14-2/redis-6372.conf
sed 's/6370/6373/g' ./redis-5.0.14-3/redis.conf > ./redis-5.0.14-3/redis-6373.conf
sed 's/6370/6374/g' ./redis-5.0.14-4/redis.conf > ./redis-5.0.14-4/redis-6374.conf
sed 's/6370/6375/g' ./redis-5.0.14-5/redis.conf > ./redis-5.0.14-5/redis-6375.conf

1.2.3 启动并验证节点状态

# 3.启动6个节点并验证启动状态
./redis-5.0.14-0/bin/redis-server ./redis-5.0.14-0/redis.conf
./redis-5.0.14-1/bin/redis-server ./redis-5.0.14-1/redis-6371.conf
./redis-5.0.14-2/bin/redis-server ./redis-5.0.14-2/redis-6372.conf
./redis-5.0.14-3/bin/redis-server ./redis-5.0.14-3/redis-6373.conf
./redis-5.0.14-4/bin/redis-server ./redis-5.0.14-4/redis-6374.conf
./redis-5.0.14-5/bin/redis-server ./redis-5.0.14-5/redis-6375.conf
[root@tcloud local]# ps -ef | grep redis
root      1866     1  0 17:12 ?        00:00:00 ./redis-5.0.14-0/bin/redis-server 127.0.0.1:6370 [cluster]
root      1871     1  0 17:12 ?        00:00:00 ./redis-5.0.14-1/bin/redis-server 127.0.0.1:6371 [cluster]
root      1876     1  0 17:12 ?        00:00:00 ./redis-5.0.14-2/bin/redis-server 127.0.0.1:6372 [cluster]
root      1881     1  0 17:12 ?        00:00:00 ./redis-5.0.14-3/bin/redis-server 127.0.0.1:6373 [cluster]
root      1886     1  0 17:12 ?        00:00:00 ./redis-5.0.14-4/bin/redis-server 127.0.0.1:6374 [cluster]
root      1896     1  0 17:12 ?        00:00:00 ./redis-5.0.14-5/bin/redis-server 127.0.0.1:6375 [cluster]
root      1957  1522  0 17:12 pts/0    00:00:00 grep --color=auto redis

1.2.4 创建集群

# 4.创建集群
[root@tcloud redis-5.0.14-0]# ./bin/redis-cli --cluster create 127.0.0.1:6370 127.0.0.1:6371 127.0.0.1:6372 127.0.0.1:6373 127.0.0.1:6374 127.0.0.1:6375 --cluster-replicas 1
>>> Performing hash slots allocation on 6 nodes...
Master[0] -> Slots 0 - 5460
Master[1] -> Slots 5461 - 10922
Master[2] -> Slots 10923 - 16383
Adding replica 127.0.0.1:6374 to 127.0.0.1:6370
Adding replica 127.0.0.1:6375 to 127.0.0.1:6371
Adding replica 127.0.0.1:6373 to 127.0.0.1:6372
>>> Trying to optimize slaves allocation for anti-affinity
[WARNING] Some slaves are in the same host as their master
M: 60772cf691608a8ae8e6f519b1a95b52c84b2457 127.0.0.1:6370
   slots:[0-5460] (5461 slots) master
M: ffe9663d3fd1fc55c74c7bea6c70069fb742a69f 127.0.0.1:6371
   slots:[5461-10922] (5462 slots) master
M: 6bb4e92cec0464c9969397eccaf1de1ce54b3e56 127.0.0.1:6372
   slots:[10923-16383] (5461 slots) master
S: e793d2b868dbcd0b701bae10ea4d689b13a1c650 127.0.0.1:6373
   replicates ffe9663d3fd1fc55c74c7bea6c70069fb742a69f
S: baae7ed422dc563bbbd22e1ac2d859ba4835dd63 127.0.0.1:6374
   replicates 6bb4e92cec0464c9969397eccaf1de1ce54b3e56
S: 2fddd068ad1ae78d816d2932f012fae025e4e1f8 127.0.0.1:6375
   replicates 60772cf691608a8ae8e6f519b1a95b52c84b2457
Can I set the above configuration? (type 'yes' to accept): yes
>>> 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 127.0.0.1:6370)
M: 60772cf691608a8ae8e6f519b1a95b52c84b2457 127.0.0.1:6370
   slots:[0-5460] (5461 slots) master
   1 additional replica(s)
M: 6bb4e92cec0464c9969397eccaf1de1ce54b3e56 127.0.0.1:6372
   slots:[10923-16383] (5461 slots) master
   1 additional replica(s)
M: ffe9663d3fd1fc55c74c7bea6c70069fb742a69f 127.0.0.1:6371
   slots:[5461-10922] (5462 slots) master
   1 additional replica(s)
S: baae7ed422dc563bbbd22e1ac2d859ba4835dd63 127.0.0.1:6374
   slots: (0 slots) slave
   replicates 6bb4e92cec0464c9969397eccaf1de1ce54b3e56
S: 2fddd068ad1ae78d816d2932f012fae025e4e1f8 127.0.0.1:6375
   slots: (0 slots) slave
   replicates 60772cf691608a8ae8e6f519b1a95b52c84b2457
S: e793d2b868dbcd0b701bae10ea4d689b13a1c650 127.0.0.1:6373
   slots: (0 slots) slave
   replicates ffe9663d3fd1fc55c74c7bea6c70069fb742a69f
[OK] All nodes agree about slots configuration.
>>> Check for open slots...
>>> Check slots coverage...
[OK] All 16384 slots covered.

1.2.5 集群信息

# 5.集群并查看节点数据
[root@tcloud redis-5.0.14-0]# ./bin/redis-cli -c -p 6370
127.0.0.1:6370> cluster nodes
6bb4e92cec0464c9969397eccaf1de1ce54b3e56 127.0.0.1:6372@16372 master - 0 1683192656954 3 connected 10923-16383
ffe9663d3fd1fc55c74c7bea6c70069fb742a69f 127.0.0.1:6371@16371 master - 0 1683192657956 2 connected 5461-10922
60772cf691608a8ae8e6f519b1a95b52c84b2457 127.0.0.1:6370@16370 myself,master - 0 1683192655000 1 connected 0-5460
baae7ed422dc563bbbd22e1ac2d859ba4835dd63 127.0.0.1:6374@16374 slave 6bb4e92cec0464c9969397eccaf1de1ce54b3e56 0 1683192655951 5 connected
2fddd068ad1ae78d816d2932f012fae025e4e1f8 127.0.0.1:6375@16375 slave 60772cf691608a8ae8e6f519b1a95b52c84b2457 0 1683192655000 6 connected
e793d2b868dbcd0b701bae10ea4d689b13a1c650 127.0.0.1:6373@16373 slave ffe9663d3fd1fc55c74c7bea6c70069fb742a69f 0 1683192653000 4 connected

1.3 测试

# 延迟测试
./bin/redis-cli -c -p 6370 --intrinsic-latency 10
# 性能测试
./bin/redis-benchmark -h 127.0.0.1 -p 6370 -q

延迟测试结果

# 1
150971628 total runs (avg latency: 0.0662 microseconds / 66.24 nanoseconds per run).
Worst run took 117245x longer than the average latency.
# 2
149243181 total runs (avg latency: 0.0670 microseconds / 67.00 nanoseconds per run).
Worst run took 155735x longer than the average latency.
# 3
150936098 total runs (avg latency: 0.0663 microseconds / 66.25 nanoseconds per run).
Worst run took 87950x longer than the average latency.

性能测试结果

# 1
PING_INLINE: 62814.07
PING_BULK: 64143.68
SET: 61087.36
GET: 62344.14
INCR: 59665.87
LPUSH: 54945.05
RPUSH: 56785.91
LPOP: 55991.04
RPOP: 57208.24
SADD: 62932.66
HSET: 59347.18
SPOP: 63091.48
LPUSH (needed to benchmark LRANGE): 56211.35
LRANGE_100 (first 100 elements): 34614.05
LRANGE_300 (first 300 elements): 16131.63
LRANGE_500 (first 450 elements): 11568.72
LRANGE_600 (first 600 elements): 9214.89
MSET (10 keys): 54644.81
# 2
PING_INLINE: 61881.19
PING_BULK: 64267.35
SET: 61881.19
GET: 61804.70
INCR: 61387.36
LPUSH: 55555.56
RPUSH: 55370.98
LPOP: 56369.79
RPOP: 57736.72
SADD: 61614.29
HSET: 61387.36
SPOP: 63613.23
LPUSH (needed to benchmark LRANGE): 53792.36
LRANGE_100 (first 100 elements): 33681.38
LRANGE_300 (first 300 elements): 15637.22
LRANGE_500 (first 450 elements): 11828.72
LRANGE_600 (first 600 elements): 9221.69
MSET (10 keys): 52826.20
# 3
PING_INLINE: 63091.48
PING_BULK: 63572.79
SET: 61012.81
GET: 60569.35
INCR: 60459.49
LPUSH: 55463.12
RPUSH: 56850.48
LPOP: 55617.35
RPOP: 57570.52
SADD: 60790.27
HSET: 60168.47
SPOP: 62695.92
LPUSH (needed to benchmark LRANGE): 55679.29
LRANGE_100 (first 100 elements): 34435.26
LRANGE_300 (first 300 elements): 16064.26
LRANGE_500 (first 450 elements): 11496.90
LRANGE_600 (first 600 elements): 9180.21
MSET (10 keys): 53648.07

2.Docker集群

2.1 环境

[root@tcloud ~]# docker -v
Docker version 20.10.13, build a224086

Redis的官方Docker镜像地址：https://hub.docker.com/_/redis

2.2 搭建

2.2.1 创建专用网络

# 创建桥接网卡
docker network create redis --subnet 172.81.0.0/16
# 查看所有 网卡
docker network ls
# 查看网卡详情
docker network inspect NETWORKID
[
    {
        "Name": "redis",
        "Id": "79a62c1104195f5f077665fcdd8d4e1c92697af7db227c1fd1a92219f22c2501",
        "Created": "2023-05-05T10:38:24.604493511+08:00",
        "Scope": "local",
        "Driver": "bridge",
        "EnableIPv6": false,
        "IPAM": {
            "Driver": "default",
            "Options": {},
            "Config": [
                {
                    "Subnet": "172.81.0.0/16",
                    "Gateway": "172.81.0.1"
                }
            ]
        },
        "Internal": false,
        "Attachable": false,
        "Ingress": false,
        "ConfigFrom": {
            "Network": ""
        },
        "ConfigOnly": false,
        "Containers": {},
        "Options": {},
        "Labels": {}
    }
]

2.2.2 生成配置文件

# 通过脚本创建6个Redis配置
# 这里一定要注意不要加 daemonize yes 否则无法启动
for port in $(seq 1 6); \
do \
mkdir -p /usr/local/redis-docker/node-${port}/conf
touch /usr/local/redis-docker/node-${port}/conf/redis.conf
cat << EOF >/usr/local/redis-docker/node-${port}/conf/redis.conf
bind 0.0.0.0
protected-mode no
port 637${port}
cluster-enabled yes
cluster-config-file nodes.conf
cluster-node-timeout 5000
cluster-announce-ip 172.81.0.1${port}
cluster-announce-port 637${port}
cluster-announce-bus-port 1637${port}
appendonly no
EOF
done

2.2.3 容器启动及验证

# 启动容器
for port in $(seq 1 6); \
do \
docker run -p 637${port}:637${port} -p 1637${port}:1637${port} --name redis-${port} \
-v /usr/local/redis-docker/node-${port}/data:/data \
-v /usr/local/redis-docker/node-${port}/conf/redis.conf:/etc/redis/redis.conf \
-d --net redis --ip 172.81.0.1${port} redis:5.0.14 redis-server /etc/redis/redis.conf
done
# 查看启动状态
[root@tcloud local]# docker ps | grep redis
a4e70ff2d840   redis:5.0.14     "docker-entrypoint.s…"   48 seconds ago   Up 46 seconds       0.0.0.0:6376->6376/tcp, :::6376->6376/tcp, 0.0.0.0:16376->16376/tcp, :::16376->16376/tcp, 6379/tcp   redis-6
854f8e023ce1   redis:5.0.14     "docker-entrypoint.s…"   49 seconds ago   Up 47 seconds       0.0.0.0:6375->6375/tcp, :::6375->6375/tcp, 0.0.0.0:16375->16375/tcp, :::16375->16375/tcp, 6379/tcp   redis-5
5165d1e61a7f   redis:5.0.14     "docker-entrypoint.s…"   50 seconds ago   Up 48 seconds       0.0.0.0:6374->6374/tcp, :::6374->6374/tcp, 0.0.0.0:16374->16374/tcp, :::16374->16374/tcp, 6379/tcp   redis-4
f08dbda27366   redis:5.0.14     "docker-entrypoint.s…"   51 seconds ago   Up 50 seconds       0.0.0.0:6373->6373/tcp, :::6373->6373/tcp, 0.0.0.0:16373->16373/tcp, :::16373->16373/tcp, 6379/tcp   redis-3
e5e0feb9546a   redis:5.0.14     "docker-entrypoint.s…"   52 seconds ago   Up 51 seconds       0.0.0.0:6372->6372/tcp, :::6372->6372/tcp, 0.0.0.0:16372->16372/tcp, :::16372->16372/tcp, 6379/tcp   redis-2
d8fae67a40b2   redis:5.0.14     "docker-entrypoint.s…"   54 seconds ago   Up 52 seconds       0.0.0.0:6371->6371/tcp, :::6371->6371/tcp, 0.0.0.0:16371->16371/tcp, :::16371->16371/tcp, 6379/tcp   redis-1

2.2.4 创建集群

# 创建集群
docker exec -it redis-1 /bin/sh 
# 容器内操作
cd /usr/local/bin
redis-cli --cluster create 172.81.0.11:6371 172.81.0.12:6372 172.81.0.13:6373 172.81.0.14:6374 172.81.0.15:6375 172.81.0.16:6376 --cluster-replicas 1
# 打印出来的信息不再贴出
# 连接集群
cd /usr/local/redis-5.0.14
./bin/redis-cli -p 6371 -c
cluster nodes
# 退出容器
exit

2.2.5 删除容器及配置文件

# 停止
for port in $(seq 1 6); \
do \
docker stop redis-${port} 
done
# 删除停止的容器
docker rm $(docker ps -qa)
# 删除配置及数据文件
rm -rf ./redis-docker

2.3.测试

# 延迟测试
./bin/redis-cli -c -p 6371 --intrinsic-latency 10
# 性能测试
./bin/redis-benchmark -h 172.81.0.1 -p 6371  -q

延迟测试结果

# 1
148915461 total runs (avg latency: 0.0672 microseconds / 67.15 nanoseconds per run).
Worst run took 172533x longer than the average latency.
# 2
148930804 total runs (avg latency: 0.0671 microseconds / 67.15 nanoseconds per run).
Worst run took 147203x longer than the average latency.
# 3
149999312 total runs (avg latency: 0.0667 microseconds / 66.67 nanoseconds per run).
Worst run took 119474x longer than the average latency.

性能测试结果

# 1
PING_INLINE: 49212.60
PING_BULK: 50327.12
SET: 48590.86
GET: 47846.89
INCR: 48923.68
LPUSH: 44863.16
RPUSH: 45106.00
LPOP: 45599.63
RPOP: 44682.75
SADD: 50377.83
HSET: 48239.27
SPOP: 50479.56
LPUSH (needed to benchmark LRANGE): 44345.89
LRANGE_100 (first 100 elements): 29691.21
LRANGE_300 (first 300 elements): 14858.84
LRANGE_500 (first 450 elements): 11119.76
LRANGE_600 (first 600 elements): 8946.94
MSET (10 keys): 43859.65
# 2
PING_INLINE: 49975.02
PING_BULK: 51493.30
SET: 47664.44
GET: 49358.34
INCR: 49358.34
LPUSH: 44822.95
RPUSH: 45146.73
LPOP: 44404.97
RPOP: 45703.84
SADD: 50125.31
HSET: 45829.52
SPOP: 49701.79
LPUSH (needed to benchmark LRANGE): 42643.92
LRANGE_100 (first 100 elements): 30349.01
LRANGE_300 (first 300 elements): 14641.29
LRANGE_500 (first 450 elements): 11111.11
LRANGE_600 (first 600 elements): 8964.59
MSET (10 keys): 44642.86
# 3
PING_INLINE: 50075.11
PING_BULK: 49900.20
SET: 48971.59
GET: 49164.21
INCR: 49925.11
LPUSH: 44130.62
RPUSH: 40950.04
LPOP: 40338.84
RPOP: 44111.16
SADD: 48449.61
HSET: 47687.18
SPOP: 49455.98
LPUSH (needed to benchmark LRANGE): 45004.50
LRANGE_100 (first 100 elements): 30637.26
LRANGE_300 (first 300 elements): 14788.52
LRANGE_500 (first 450 elements): 11183.18
LRANGE_600 (first 600 elements): 9005.76
MSET (10 keys): 45167.12

3.总结

我们跟之前的单机版本进行对比，延迟对比结果：

性能比对结果：

伪集群和在一台服务器上的Docker集群一样无法提升性能。

Redis【性能 02】Redis-5.0.14伪集群和Docker集群搭建及延迟和性能测试（均无法提升性能）

1.伪集群搭建

1.1 环境

1.2 搭建

1.2.1 集群配置

1.2.2 生成其他5个节点配置

1.2.3 启动并验证节点状态

1.2.4 创建集群

1.2.5 集群信息

1.3 测试

2.Docker集群

2.1 环境

2.2 搭建

2.2.1 创建专用网络

2.2.2 生成配置文件

2.2.3 容器启动及验证

2.2.4 创建集群

2.2.5 删除容器及配置文件

2.3.测试

3.总结

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Redis【性能 02】Redis-5.0.14伪集群和Docker集群搭建及延迟和性能测试（均无法提升性能）

1.伪集群搭建

1.1 环境

1.2 搭建

1.2.1 集群配置

1.2.2 生成其他5个节点配置

1.2.3 启动并验证节点状态

1.2.4 创建集群

1.2.5 集群信息

1.3 测试

2.Docker集群

2.1 环境

2.2 搭建

2.2.1 创建专用网络

2.2.2 生成配置文件

2.2.3 容器启动及验证

2.2.4 创建集群

2.2.5 删除容器及配置文件

2.3.测试

3.总结

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