resilience4j小试牛刀

codecraft

本文主要研究下resilience4j的基本功能

maven

        <dependency>
            <groupId>io.github.resilience4j</groupId>
            <artifactId>resilience4j-circuitbreaker</artifactId>
            <version>0.13.0</version>
        </dependency>
        <dependency>
            <groupId>io.github.resilience4j</groupId>
            <artifactId>resilience4j-ratelimiter</artifactId>
            <version>0.13.0</version>
        </dependency>
        <dependency>
            <groupId>io.github.resilience4j</groupId>
            <artifactId>resilience4j-retry</artifactId>
            <version>0.13.0</version>
        </dependency>
        <dependency>
            <groupId>io.github.resilience4j</groupId>
            <artifactId>resilience4j-bulkhead</artifactId>
            <version>0.13.0</version>
        </dependency>
        <dependency>
            <groupId>io.github.resilience4j</groupId>
            <artifactId>resilience4j-circularbuffer</artifactId>
            <version>0.13.0</version>
        </dependency>
        <dependency>
            <groupId>io.github.resilience4j</groupId>
            <artifactId>resilience4j-timelimiter</artifactId>
            <version>0.13.0</version>
        </dependency>

CircuitBreaker

    @Test
    public void testCircuitBreaker(){
        // Create a CircuitBreaker (use default configuration)
        CircuitBreakerConfig circuitBreakerConfig = CircuitBreakerConfig
                .custom()
                .enableAutomaticTransitionFromOpenToHalfOpen()
                .build();
        CircuitBreaker circuitBreaker = CircuitBreaker
                .of("backendName",circuitBreakerConfig);
        String result = circuitBreaker.executeSupplier(() -> backendService.doSomethingWithArgs("world"));
        System.out.println(result);
    }
CircuitBreaker主要是实现针对接口异常的断路统计以及断路处理

Timelimiter

    @Test
    public void testTimelimiter(){
        ExecutorService executorService = Executors.newSingleThreadExecutor();
        TimeLimiterConfig config = TimeLimiterConfig.custom()
                .timeoutDuration(Duration.ofMillis(600))
                .cancelRunningFuture(true)
                .build();
        TimeLimiter timeLimiter = TimeLimiter.of(config);

        Supplier<Future<String>> futureSupplier = () -> {
            return executorService.submit(backendService::doSomethingThrowException);
        };
        Callable<String> restrictedCall = TimeLimiter.decorateFutureSupplier(timeLimiter,futureSupplier);
        Try.of(restrictedCall::call)
                .onFailure(throwable -> System.out.println("We might have timed out or the circuit breaker has opened."));
    }
主要是实现超时的控制

Bulkhead

    /**
     * A Bulkhead can be used to limit the amount of parallel executions
     */
    @Test
    public void testBulkhead(){
        Bulkhead bulkhead = Bulkhead.of("test", BulkheadConfig.custom()
                .maxConcurrentCalls(1)
                .build());
        Supplier<String> decoratedSupplier = Bulkhead.decorateSupplier(bulkhead, backendService::doSomethingSlowly);
        IntStream.rangeClosed(1,2)
                .parallel()
                .forEach(i -> {
                    String result = Try.ofSupplier(decoratedSupplier)
                            .recover(throwable -> "Hello from Recovery").get();
                    System.out.println(result);
                });

    }
Bulkhead目前来看是用来控制并行(parallel)调用的次数

RateLimiter

    @Test
    public void testRateLimiter(){
        // Create a custom RateLimiter configuration
        RateLimiterConfig config = RateLimiterConfig.custom()
                .timeoutDuration(Duration.ofMillis(100))
                .limitRefreshPeriod(Duration.ofSeconds(1))
                .limitForPeriod(1)
                .build();
        // Create a RateLimiter
        RateLimiter rateLimiter = RateLimiter.of("backendName", config);

        // Decorate your call to BackendService.doSomething()
        Supplier<String> restrictedSupplier = RateLimiter
                .decorateSupplier(rateLimiter, backendService::doSomething);

        IntStream.rangeClosed(1,5)
                .parallel()
                .forEach(i -> {
                    Try<String> aTry = Try.ofSupplier(restrictedSupplier);
                    System.out.println(aTry.isSuccess());
                });
    }
用来做流控

Fallback

    @Test
    public void testFallback(){
        // Execute the decorated supplier and recover from any exception
        String result = Try.ofSupplier(() -> backendService.doSomethingThrowException())
                .recover(throwable -> "Hello from Recovery").get();
        System.out.println(result);
    }

    @Test
    public void testCircuitBreakerAndFallback(){
        CircuitBreaker circuitBreaker = CircuitBreaker.ofDefaults("backendName");
        Supplier<String> decoratedSupplier = CircuitBreaker
                .decorateSupplier(circuitBreaker, backendService::doSomethingThrowException);
        String result = Try.ofSupplier(decoratedSupplier)
                .recover(throwable -> "Hello from Recovery").get();
        System.out.println(result);
    }
fallback基本上是高可用操作的标配

Retry

    @Test
    public void testRetry(){
        CircuitBreaker circuitBreaker = CircuitBreaker.ofDefaults("backendName");
        // Create a Retry with at most 3 retries and a fixed time interval between retries of 500ms
        Retry retry = Retry.ofDefaults("backendName");

        // Decorate your call to BackendService.doSomething() with a CircuitBreaker
        Supplier<String> decoratedSupplier = CircuitBreaker
                .decorateSupplier(circuitBreaker, backendService::doSomething);

        // Decorate your call with automatic retry
        decoratedSupplier = Retry
                .decorateSupplier(retry, decoratedSupplier);

        // Execute the decorated supplier and recover from any exception
        String result = Try.ofSupplier(decoratedSupplier)
                .recover(throwable -> "Hello from Recovery").get();
        System.out.println(result);
    }
retry用来控制重试

小结

resilience4j是一款受hystrix启发的容错组件,提供了如下几款核心组件:

  • resilience4j-circuitbreaker: Circuit breaking
  • resilience4j-ratelimiter: Rate limiting
  • resilience4j-bulkhead: Bulkheading
  • resilience4j-retry: Automatic retrying (sync and async)
  • resilience4j-cache: Response caching

这里主要演示了关于circuitbreaker、ratelimiter、bulkhead、retry以及timelimiter。其特色就是使用装饰者模式,可以多个功能组合在一起。其他的话,timelimiter的使用比起hystrix稍微费劲些。

doc

阅读 6.8k

code-craft
spring boot , docker and so on 欢迎关注微信公众号: geek_luandun

当一个代码的工匠回首往事时,不因虚度年华而悔恨,也不因碌碌无为而羞愧,这样,当他老的时候,可以很...

11.6k 声望
1.9k 粉丝
0 条评论
你知道吗?

当一个代码的工匠回首往事时,不因虚度年华而悔恨,也不因碌碌无为而羞愧,这样,当他老的时候,可以很...

11.6k 声望
1.9k 粉丝
文章目录
宣传栏