高级----RateLimiter

注意事项

  RateLimiter rateLimiter = RateLimiter.create(2);表示:1秒钟只有两个线程跑,也就是,第二个线程等待第一个现场0.5秒,不是一次性两个线程同时跑,然后1秒之后又来两个线程跑。

Demo

RateLimiter堵塞使用

public class RateLimiterDemo {
    public static void main(String[] args) {

        //1秒钟只有两个线程跑,也就是,第二个线程等待第一个现场0.5秒
        RateLimiter rateLimiter = RateLimiter.create(2);
        List<Runnable> tasks = new ArrayList<Runnable>();
        for(int i = 0;i < 100; i++){
            tasks.add(new UserRequest(i));
        }
        ExecutorService threadPool = Executors.newCachedThreadPool();
        for (Runnable runnable : tasks){
            //每个线程需要等待1/4秒,rateLimiter.acquire()会造成线程堵塞
            System.out.println("等待时间:" + rateLimiter.acquire());
            threadPool.execute(runnable);
        }
    }

    private static class UserRequest implements Runnable {
        private int id;

        public UserRequest(int id) {
            this.id = id;
        }

        public void run() {
            try {
                Thread.sleep(5000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            System.out.println(id+"执行run");
        }
    }
}

RateLimiter非堵塞使用

public class RateLimiterDemo {
    public static void main(String[] args) {

        //1秒钟只有两个线程跑,也就是,第二个线程等待第一个线程500毫秒
        RateLimiter rateLimiter = RateLimiter.create(2);
        List<Runnable> tasks = new ArrayList<Runnable>();
        for(int i = 0;i < 100; i++){
            tasks.add(new UserRequest(i));
        }
        ExecutorService threadPool = Executors.newCachedThreadPool();
        for (Runnable runnable : tasks){
            //因为设置的是第二个线程需要等待第一个线程500毫秒,如果线程值等待400毫秒,就会失败
            if(rateLimiter.tryAcquire(400, TimeUnit.MILLISECONDS)) { //未请求到limiter则立即返回false
                //doSomething();
                System.out.println("成功");
            }else{
                //doSomethingElse();
                System.out.println("失败");
            }
            threadPool.execute(runnable);
        }
    }

    private static class UserRequest implements Runnable {
        private int id;

        public UserRequest(int id) {
            this.id = id;
        }

        public void run() {
            try {
                Thread.sleep(5000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            System.out.println(id+"执行run");
        }
    }
}

简单案例

@Controller
@RequestMapping("/seckill")
public class SeckillController implements InitializingBean {
    //基于令牌桶算法的限流实现类
    RateLimiter rateLimiter = RateLimiter.create(10);

    @RequestMapping(value = "/do_seckill", method = RequestMethod.POST)
    @ResponseBody
    public Result<Integer> list() {

        if (!rateLimiter.tryAcquire(1000, TimeUnit.MILLISECONDS)) {
            return  Result.error(CodeMsg.ACCESS_LIMIT_REACHED);
        }
}

RateLimiter+AOP

RateLimiter是guava提供的基于令牌桶算法的实现类,可以非常简单的完成限流特技,并且根据系统的实际情况来调整生成token的速率。

导入相关依赖包

<dependency>
    <groupId>com.google.guava</groupId>
    <artifactId>guava</artifactId>
    <version>20.0</version>
</dependency>

定义注解

@Inherited
    @Documented
    @Target(ElementType.METHOD)
    @Retention(RetentionPolicy.RUNTIME)
    public @interface RateLimit {
        double limitNum() default 20;  //默认每秒放入桶中的token
}

封装定义返回结果

public class MyResult {
        private Integer status;
        private String msg;
        private List<Object> data;
 
        public MyResult(Integer status, String msg, List<Object> data) {
            this.status = status;
            this.msg = msg;
            this.data = data;
        }
 
        public static MyResult OK(String msg, List<Object> data) {
            return new MyResult(200, msg, data);
        }
 
        public static MyResult Error(Integer status, String msg) {
            return new MyResult(status, msg, null);
        }
}

aop实现

@Component
@Scope
@Aspect
public class RateLimitAspect {
    private Logger log = LoggerFactory.getLogger(this.getClass());
    //用来存放不同接口的RateLimiter(key为接口名称,value为RateLimiter)
    private ConcurrentHashMap<String, RateLimiter> map = new ConcurrentHashMap<>();
 
    private static ObjectMapper objectMapper = new ObjectMapper();
 
    private RateLimiter rateLimiter;
 
    @Autowired
    private HttpServletResponse response;
 
    @Pointcut("@annotation(com.icat.retalimitaop.annotation.RateLimit)")
    public void serviceLimit() {
    }
 
    @Around("serviceLimit()")
    public Object around(ProceedingJoinPoint joinPoint) throws NoSuchMethodException {
        Object obj = null;
        //获取拦截的方法名
        Signature sig = joinPoint.getSignature();
        //获取拦截的方法名
        MethodSignature msig = (MethodSignature) sig;
        //返回被织入增加处理目标对象
        Object target = joinPoint.getTarget();
        //为了获取注解信息
        Method currentMethod = target.getClass().getMethod(msig.getName(), msig.getParameterTypes());
        //获取注解信息
        RateLimit annotation = currentMethod.getAnnotation(RateLimit.class);
        double limitNum = annotation.limitNum(); //获取注解每秒加入桶中的token
        String functionName = msig.getName(); // 注解所在方法名区分不同的限流策略
 
        //获取rateLimiter,functionName作为key在真实项目中是不允许的,不同的类中functionName可能一样。全限定类+方法名可以
         if(map.containsKey(functionName)){
             rateLimiter = map.get(functionName);
         }else {
             map.put(functionName, RateLimiter.create(limitNum));
             rateLimiter = map.get(functionName);
         }
 
        try {
            if (rateLimiter.tryAcquire()) {
                //执行方法
                obj = joinPoint.proceed();
            } else {
                //拒绝了请求(服务降级)
                String result = objectMapper.writeValueAsString(MyResult.Error(500, "系统繁忙!"));
                log.info("拒绝了请求:" + result);
                outErrorResult(result);
            }
        } catch (Throwable throwable) {
            throwable.printStackTrace();
        }
        return obj;
    }
    //将结果返回
    public void outErrorResult(String result) {
        response.setContentType("application/json;charset=UTF-8");
        try (ServletOutputStream outputStream = response.getOutputStream()) {
            outputStream.write(result.getBytes("utf-8"));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
 
    static {
        objectMapper.setSerializationInclusion(JsonInclude.Include.NON_NULL);
    }
 
}

给aciton接口添加注解

2个接口设定没秒限流5个和美妙限流10个 
    @RateLimit(limitNum = 5.0)
    public MyResult getResults() {
        log.info("调用了方法getResults");
        return MyResult.OK("调用了方法", null);
    }
 
    @RateLimit(limitNum = 10.0)
    public MyResult getResultTwo() {
        log.info("调用了方法getResultTwo");
        return MyResult.OK("调用了方法getResultTwo", null);
}

测试限流

Jmeter测试getResults接口

参考:https://blog.csdn.net/qq_39816039/article/details/83988517?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-3.add_param_isCf&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-3.add_param_isCf

 

posted @ 2020-10-04 14:41  小名的同学  阅读(330)  评论(0编辑  收藏  举报