---
title: oeAware性能调优示例——通过SMC-D优化redis-官方技术文章-鲲鹏社区
description: 本文介绍oeaware通过SMC-D插件优化redis
keywords: Aware,性能调优示例,SMC,优化,官方技术文章,鲲鹏社区,境准备,准备,安装
url: https://www.hikunpeng.com/developer/techArticles/20251209-11?envFlag=1
section: (其他)
---

# oeAware性能调优示例——通过SMC-D优化redis-官方技术文章-鲲鹏社区

URL: https://www.hikunpeng.com/developer/techArticles/20251209-11?envFlag=1
描述: 本文介绍oeaware通过SMC-D插件优化redis
关键词: Aware,性能调优示例,SMC,优化,官方技术文章,鲲鹏社区,境准备,准备,安装

官方技术文章 [了解详情](https://www.hikunpeng.com/zh/developer/techArticles)

oeAware性能调优示例——通过SMC-D优化redis

oeAware性能调优示例——通过SMC-D优化redis

openEuler

发表于 2025/12/09

0

## 境准备

| 依赖 | 版本 |
| --- | ---|
| 服务器 | kunpeng 920 |
| OS | openEuler 2403 LTS SP1 |
| oeAware-manager | >=v2.1.0-1 |
| numafast | >=v2.4.1-1 |
| redis | 6.2.7 |

安装numactl 和防火墙、selinux

```hljs
yum install numactl
systemctl stop firewalld.service
setenforce 0
```

## 准备 redis

```hljs
wget https://download.redis.io/releases/redis-6.2.7.tar.gz --no-check-certificate
tar -zxvf redis-6.2.7.tar.gz
cd redis-6.2.7
make -j 32
```

## 安装 oeAware

```hljs
[root@master ~]# yum install oeAware-manager
```

## 测试场景

测试 Redis 在高并发（32 个连接）下处理 500,000 次 set 和 get 命令的性能。 通过 -r 500000 避免缓存命中，更贴近真实场景。使用 32 个连接和 6 个线程模拟多线程并发请求。-l 保持测试持续进行，直到手动停止。

## 基线测试

停止所有调优

```hljs
systemctl stop oeaware
```

启动redis服务端和客户端测试基线数据，注意，此优化项非NUMA调优，为了减少线程在NUMA间调度对性能的影响，测试时将服务端和客户端绑定在相同NUMA上。

```hljs
[root@master redis-6.2.7]# numactl -N 0 ./src/redis-server ./redis.conf
[root@master redis-6.2.7]# numactl -N 0 ./src/redis-benchmark -t set,get -c 32 -n 500000 -r 500000 --threads 6 -l -q --csv
```

部分结果如下，

```hljs
[root@master redis-6.2.7]# numactl -N 0 ./src/redis-benchmark -t set,get -c 32 -n 500000 -r 500000 --threads 6 -l -q --csv
"test","rps","avg_latency_ms","min_latency_ms","p50_latency_ms","p95_latency_ms","p99_latency_ms","max_latency_ms"
"SET","117591.73","0.259","0.064","0.255","0.327","0.503","1.967"
"SET","117619.38","0.260","0.032","0.255","0.335","0.503","2.127"
"SET","117619.38","0.259","0.040","0.255","0.335","0.503","2.471"
"SET","117619.38","0.260","0.048","0.255","0.335","0.503","2.023"
"SET","117619.38","0.260","0.040","0.255","0.335","0.503","1.255"
"SET","117619.38","0.258","0.040","0.255","0.327","0.503","2.055"
```

## 调优测试

启动 oeaware 的 smc_tune 调优插件进行numa调优。

```hljs
[root@master ~]# systemctl start oeaware
[root@master ~]# oeawarectl -e smc_tune
Instance enabled successfully.
```

启动redis服务端和客户端，进行性能测试，注意需要重启redis服务端。

```hljs
[root@master redis-6.2.7]# numactl -N 0 ./src/redis-server ./redis.conf
...
[root@master redis-6.2.7]# numactl -N 0 ./src/redis-benchmark -t set,get -c 32 -n 500000 -r 500000 --threads 6 -l -q --csv
"test","rps","avg_latency_ms","min_latency_ms","p50_latency_ms","p95_latency_ms","p99_latency_ms","max_latency_ms"
"SET","181752.09","0.168","0.016","0.159","0.247","0.319","1.815"
"GET","181752.09","0.165","0.024","0.159","0.263","0.319","1.735"
"SET","166666.67","0.174","0.016","0.167","0.255","0.327","1.895"
"GET","181818.19","0.165","0.032","0.159","0.263","0.319","0.615"
"SET","166611.14","0.171","0.024","0.159","0.255","0.327","1.807"
"GET","181818.19","0.163","0.024","0.159","0.247","0.319","0.543"
"SET","166611.14","0.172","0.016","0.167","0.263","0.327","1.911"
```

总结：redis 本地测试，启动oeaware的smc_tune进行本地网络调优后，get 性能提升（120069.1733->181796.1567, 33.95%）, set 性能提升 (117619.38->171676.6333，31.48%)

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