标签：10 系列 no Redis alive host 测试 requests configuration
01、服务器环境
| 参数 | linux指令 | 值 |
| 系统 | cat /etc/redhat-release | CentOS Linux release 7.8.2003 (Core) |
| 内存 | free -h | total：3.7G available：3.0G |
| CPU数量 | cat /proc/cpuinfo | cpu cores ：2 |
| HZ | cat /proc/cpuinfo |grep MHz|uniq | cpu MHz : 2100.000 |
Redis之redis-benchmark
redis 提供了 redis-benchmark 工具便于我们做性能测试，可以使用 redis-benchmark- h 查看参数。
| 命令 | 描述 | 默认值 |
| -h <hostname> | 指定服务器主机名 | 127.0.0.1 |
| -p <port> | 指定服务器端口 | 6379 |
| -s <socket> | 指定服务器 socket | |
| -a <password> | Redis 认证密码 | |
| -c <clients> | 指定并发连接数 | 50 |
| -n <requests> | 指定请求数 | 10000 |
| -d <size> | 以字节（Byte）的形式指定 SET/GET 值的数据大小 | 3 |
| --dbnum <db> | 选择 Redis 数据库编号 | 0 |
| --threads <num> | 启用多线程模式 | redis6以上才有 |
| -k <boolean> | 是否保持连接 1=keep alive 0=reconnect | 1 |
| -r <keyspacelen> | SET/GET/INCR 使用随机 KEY ，SADD 使用随机值 | |
| -P <numreq> | 默认情况下，Redis 客户端一次请求只发起一个命令。通过 -P 参数，可以设置使用 pipelining功能，一次发起指定个请求，从而提升 QPS | 1 |
| -e | 如果 Redis Server 返回错误，是否将错误打印出来。默认情况下不打印，通过该参数开启 | |
| -q | 强制退出 redis。仅显示 query/sec 值 | |
| --csv | 以 CSV 格式输出 | |
| -l (L) | 生成循环，永久执行测试 | |
| -t <tests> | 指定需要测试的 Redis 命令，多个命令通过逗号分隔。想测试 SET/GET 命令，则可以 -t SET,GET 来指定 | |
| -I (i) | Idle 模式。仅打开 N 个 idle 连接并等待。 |
01、Docker Redis测试
单并发测试
测试命令：
./redis-benchmark -c 1 -n 20000 -d 30720 -t set,get
测试结果每秒是 8000+的QPS
多并发测试
====== SET ======
20000 requests completed in 1.06 seconds
10 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
18903.59 requests per second====== GET ======
20000 requests completed in 1.30 seconds
10 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
15360.98 requests per second测试 -P 命令
====== SET ======
20007 requests completed in 0.47 seconds
50 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
42933.48 requests per second====== GET ======
20002 requests completed in 0.44 seconds
50 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
45253.39 requests per second02、redis6 安装版测试
单并发测试
====== SET ======
200000 requests completed in 20.20 seconds
1 parallel clients 3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
9900.01 requests per second====== GET ======
200000 requests completed in 20.01 seconds
1 parallel clients
3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
9995.50 requests per second多并发测试
====== SET ======
200000 requests completed in 3.00 seconds
10 parallel clients
3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
66622.25 requests per second====== GET ======
200000 requests completed in 3.02 seconds
10 parallel clients
3 bytes payload
keep alive:1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
66137.57 requests per second03、-P 测试
单并发测试
====== SET ======
200000 requests completed in 2.20 seconds
1 parallel clients
3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
90991.81 requests per second====== GET ======
200000 requests completed in 2.15 seconds
1 parallel clients 3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
92980.01 requests per second多并发测试
====== SET ======
200010 requests completed in 0.42 seconds
10 parallel clients 3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
480793.25 requests per second====== GET ======
200000 requests completed in 0.34 seconds
10 parallel clients
3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
586510.25 requests per second02、换服务器测试
| 参数 | linux指令 | 值 |
| 系统 | cat /etc/redhat-release | CentOS Linux release 7.7.1908 (Core) |
| 内存 | free -h | total：3.6G ，available：782M |
| CPU数量 | cat /proc/cpuinfo | cpu cores : 1 |
| HZ | cat /proc/cpuinfo |grep MHz|uniq | cpu MHz : 2500.002 |
01、Docker Redis
单并发测试
====== SET ======
20000 requests completed in 1.22 seconds
1 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
16420.36 requests per second====== GET ======
20000 requests completed in 1.42 seconds
1 parallel clients 30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
14094.43 requests per second多并发测试
====== SET ======
20000 requests completed in 0.66 seconds
10 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
30395.14 requests per second====== GET ======
20000 requests completed in 0.81 seconds
10 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
24721.88 requests per second02、-P 测试
单并发测试
====== SET ======
20000 requests completed in 0.59 seconds
1 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
33726.81 requests per second====== GET ======
20000 requests completed in 0.50 seconds
1 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
39682.54 requests per second多并发测试
====== SET ======
20008 requests completed in 0.31 seconds
10 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
64750.81 requests per second====== GET ======
20017 requests completed in 0.27 seconds
10 parallel clients
30720 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
73591.91 requests per second03、Redis 安装版
单并发测试
====== SET ======
200000 requests completed in 7.21 seconds
1 parallel clients 3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
27735.40 requests per second====== GET ======
200000 requests completed in 7.06 seconds
1 parallel clients 3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
28312.57 requests per second多并发测试
====== SET =====
200000 requests completed in 2.31 seconds
10 parallel clients
3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
86730.27 requests per second===== GET ======
200000 requests completed in 2.29 seconds
10 parallel clients 3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
87221.98 requests per second04、-P 测试
单并发
====== SET ======
200000 requests completed in 0.89 seconds
1 parallel clients
3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
223964.16 requests per second====== GET ======
200000 requests completed in 0.81 seconds
1 parallel clients 3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
247524.75 requests per second多并发
====== SET ======
200000 requests completed in 0.29 seconds
10 parallel clients
3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
687285.19 requests per second====== GET ======
200000 requests completed in 0.27 seconds
10 parallel clients 3 bytes payload
keep alive: 1
host configuration "save": 900 1 300 10 60 10000
host configuration "appendonly": no
multi-thread: no
751879.69 requests per second明显可以看出 换了一台的服务器，CPU没有上一台多，可用内存剩余少，单单只是HZ不一样，但结果相差甚大。
其他运行测试，当一台32G的内存服务器，Redis跑到 7G 的时候 QPS 从 20W+ 一路下跌，跑到31G的时候QPS大约为 3W+。(这个大家可以自测 把 -d 值给大就行)
如果我的博客对你有帮助、如果你喜欢我的博客内容，请 “点赞” “评论” “收藏” 一键三连哦！
最后基础知识、Linux必备、Shell、互联网程序原理、Mysql数据库、抓包工具专题、接口测试工具、测试进阶-Python编程、Web自动化测试、APP自动化测试、接口自动化测试、测试高级持续集成、测试架构开发测试框架、性能测试、安全测试等配套学习资源【免费】。
标签：10,系列,no,Redis,alive,host,测试,requests,configuration 来源： https://blog.csdn.net/jiangjunsss/article/details/123181668
本站声明： 1. iCode9 技术分享网（下文简称本站）提供的所有内容，仅供技术学习、探讨和分享； 2. 关于本站的所有留言、评论、转载及引用，纯属内容发起人的个人观点，与本站观点和立场无关； 3. 关于本站的所有言论和文字，纯属内容发起人的个人观点，与本站观点和立场无关； 4. 本站文章均是网友提供，不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属；如您发现该文章侵犯了您的权益，可联系我们第一时间进行删除； 5. 本站为非盈利性的个人网站，所有内容不会用来进行牟利，也不会利用任何形式的广告来间接获益，纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。