https://github.com/gengu/rate-limiter-spring-boot-starter
QPS流量控制starter
https://github.com/gengu/rate-limiter-spring-boot-starter
Last synced: 5 months ago
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QPS流量控制starter
- Host: GitHub
- URL: https://github.com/gengu/rate-limiter-spring-boot-starter
- Owner: gengu
- Created: 2017-07-14T03:37:38.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2023-05-08T11:19:21.000Z (about 3 years ago)
- Last Synced: 2024-03-15T08:22:07.270Z (over 2 years ago)
- Language: Java
- Homepage: https://www.genxiaogu.com/
- Size: 45.9 KB
- Stars: 29
- Watchers: 6
- Forks: 24
- Open Issues: 5
-
Metadata Files:
- Readme: Readme.md
Awesome Lists containing this project
- awesome-java - Rate Limiter Spring Boot Starter
README
# 读我
## 功能
集群QPS控制，在方法上添加注解即可限制QPS
## 使用方法
### 注解定义
```java
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.METHOD})
public @interface Limiter {
/**
* 限流route
* @return
*/
String route();
/**
* 限流次数
* @return
*/
int limit() default 10;
}
```
### 资源
> 在pom.xml中添加依赖
```xml
com.genxiaogu
rate-limiter-spring-boot-starter
1.1.0
```
> 在application.properties中添加redis资源
```properties
spring.redis.database=0
spring.redis.host=127.0.0.1
spring.redis.port=8888
spring.redis.password=xxx
spring.redis.pool.max-active=50000
spring.redis.pool.max-wait=-1
spring.redis.pool.max-idle=10
spring.redis.pool.min-idle=0
spring.redis.timeout=500
```
> 在需要进行流量控制的方法上添加注解例如
```java
在mapping方法上
@Limiter(route = "test", limit = 100)
@RequestMapping("/test")
public String check(){
return dataPermissionTest.test() ;
}
或者在普通方法上
@Limiter(route = "test", limit = 100)
public String test(){
return "test" ;
}
```
***注意，Limiter的route参数指代控制方法的唯一key，limit表示1s内允许访问多少次***
## DEMO
[spring-boot-rate-limiter-demo](https://github.com/gengu/spring-boot-demos/tree/master/spring-boot-rate-limiter-demo)
## 使用siege测试
> 总结
> > 我尝试把系统的QPS压测到100
```javascript
siege -c 50 -t 1 'http://localhost:8080/test'
```
```properties
Transactions: 1125 hits
Availability: 98.00 %
Elapsed time: 11.80 secs
Data transferred: 0.01 MB
Response time: 0.00 secs
Transaction rate: 95.34 trans/sec
Throughput: 0.00 MB/sec
Concurrency: 0.41
Successful transactions: 1125
Failed transactions: 23
Longest transaction: 0.14
Shortest transaction: 0.00
```
## TOList
* [ ] 统计每个route的拦截次数以及通过次数
* [ ] 统计被拦截的IP地址信息等，预防DDOS很有用
* [ ] 现在抛异常的方案太过粗暴，可以定义接口由客户端来实现逻辑
* [ ] 针对不同的用户进行不同的流量控制