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README
Apache-2.0

1.简介

基于令牌桶算法和漏桶算法实现的纳秒级分布式无锁限流插件,完美嵌入SpringBoot、SpringCloud应用,支持接口限流、方法限流、系统限流、IP限流、用户限流等规则,支持设置系统启动保护时间(保护时间内不允许访问),提供快速失败与CAS阻塞两种限流方案,开箱即用。

1555848355646

2.Maven

<dependency>
  <groupId>cn.yueshutong</groupId>
  <artifactId>spring-boot-starter-current-limiting</artifactId>
  <version>0.0.2.RELEASE</version>
</dependency>

3.方法限流

在需要限流的方法上使用 @CurrentLimiter 注解,不局限于Controller方法,示例代码如下:

@RestController
public class MyController {

    @RequestMapping("/hello")
    @CurrentLimiter(QPS = 2)
    public String hello(){
        return "hello";
    }

}

@CurrentLimiter 注解参数说明:

属性 说明 默认值
QPS 每秒并发量 20
initialDelay 初始延迟时间 0
failFast 是否快速失败 true
overflow 是否严控速率 false

关于属性的具体说明请参见下方介绍。

4.系统限流

对整个应用的限流只需要在配置文件中配置即可,示例代码如下:

current.limiting.enabled=true #开启系统限流
current.limiting.part-enabled=false #使限流注解的作用失效
current.limiting.qps=100 #每秒并发量,支持小数、分数。计算规则:次数/时间(秒级)
current.limiting.fail-fast=true #快速失败
current.limiting.initial-delay=0 #系统启动保护时间为0
current.limiting.overflow=true #切换为漏桶算法

参数说明:

属性 说明 默认值
enabled 是否开启非注解的限流器 FALSE
part-enabled 是否开启注解限流的作用。FALSE可使注解限流失效 TRUE
qps 每秒并发量。支持小数、分数,计算规则:次数/时间(秒级),为0禁止访问 100
fail-fast 是否执行快速失败,FALSE可切换为阻塞 TRUE
initial-delay 首次放入令牌(即允许访问)的延迟时间,可作为系统启动保护,单位:毫秒 0
overflow 是否严格控制请求速率和次数,TRUE即切换为漏桶算法 false

5.拒绝策略

提供快速失败与CAS阻塞两种限流方案。如果是阻塞则不需要拒绝策略,当获取到令牌后依旧会继续执行,可以当做一种限制速率的措施。这里只讨论快速失败的拒绝策略。

快速失败的默认策略是统一返回“服务不可用”的英文说明文字,如果用户需要自定义拒绝策略,提供两种接口供实现。

针对被注解的方法进行自定义拒绝策略是实现CurrentAspectHandler接口,示例代码:

@Component
public class MyAspectHandler implements CurrentAspectHandler {
    @Override
    public Object around(ProceedingJoinPoint pjp, CurrentLimiter rateLimiter) throws Throwable {
        //被注解修饰的方法返回值,慎用!
        //可以结合Controller返回自定义视图
        return "fail";
    }
}

针对系统级别的拒绝策略是实现CurrentInterceptorHandler接口,示例代码:

@Component
public class MyInterceptorHandler implements CurrentInterceptorHandler {
    @Override
    public void preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
        response.getWriter().print("fail");
    }

}

需要注意的是,以上实现类在Application中只能注入一个。

6.集群限流

集群限流的目的是对相同实例(即ApplicationName)的集群进行统一的限流,前提是已经开启并配置好Redis,直接开启即可:

spring.redis.host=127.0.0.1
spring.redis.password=
spring.redis.port=6379
#一行开启
current.limiting.cloud-enabled=true

例如QPS为2,两个实例组成集群,效果图如下:

7.自定义限流规则

在实际场景中,我们的限流规则并不只是简单的对整个系统或单个接口进行流控,需要考虑的是更复杂的场景。例如:

  1. 对请求的目标URL进行限流(例如:某个URL每分钟只允许调用多少次)
  2. 对客户端的访问IP进行限流(例如:某个IP每分钟只允许请求多少次)
  3. 对某些特定用户或者用户组进行限流(例如:非VIP用户限制每分钟只允许调用100次某个API等)
  4. 多维度混合的限流。此时,就需要实现一些限流规则的编排机制。与、或、非等关系。

在本插件中实现这些业务需求是非常轻量简便的,只需要一个实现 CurrentRuleHandler 接口并返回CurrentProperty 对象的 Bean 即可。示例代码如下:

@Component
public class MyRule implements CurrentRuleHandler {
    private Logger logger = LoggerFactory.getLogger(getClass());

    @Override
    public CurrentProperty rule(HttpServletRequest request) {
        request.getServletPath(); // /hello
        request.getMethod(); // GET
        request.getRemoteHost(); // 127.0.0.1
        request.getSession(); // session
        return new CurrentProperty("Default",3,0,true,true);
    }
}

CurrentProperty 构造方法参数说明:

参数 说明
id 标识名。若为IP地址则为IP地址限流,若为用户名则为用户限流,若为访问的URL则为接口限流。
qps 每秒并发量。支持小数、分数,计算规则:次数/时间(秒)。为0禁止访问。
initialDelay 首次放入令牌(即允许访问)延迟时间,可作为系统启动保护时间,单位/毫秒。
failFast 是否需开启快速失败。false即切换为阻塞。
overflow 是否严格控制请求速率和次数,true即切换为漏桶算法。

例如:对接口进行限流,只需要 request.getServletPath() 作为参数 id 的值即可。

7.更新日志

0.0.1.RELEASE:单机版限流,注解+全局配置

0.0.2.RELEASE:结合Redis实现集群限流

0.0.3.RELEASE:可自定义规则限流、增加令牌桶算法与漏桶算法的切换,纳秒级并发控制。

8.关于作者

博客:http://www.yueshutong.cn

邮箱:yster@foxmail.com

Github:https://github.com/yueshutong/spring-boot-starter-current-limiting

Gitee:https://gitee.com/zyzpp/spring-boot-starter-current-limiting

交流QQ群:781927207

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简介

基于令牌桶算法和漏桶算法实现的纳秒级分布式无锁限流插件,完美嵌入SpringBoot、SpringCloud应用,支持接口限流、方法限流、系统限流、IP限流、用户限流等规则,支持设置系统启动保护时间(保护时间内不允许访问),提供快速失败与CAS阻塞两种限流方案,开箱即用。 展开 收起
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