Kafka一次传送就流式传输

时间:2018-06-19 17:57:56

标签: apache-kafka apache-kafka-streams spring-kafka

我的目标是作为单个原子动作从主题A消费,进行一些处理并产生到主题B。为此,我看到两个选择:

  1. 按照here所述,使用spring-kafka @Kafkalistener和KafkaTemplate。
  2. 使用Streams eos(一次)功能。

我已经成功验证了选项#1。所谓成功,是指如果我的处理失败(引发IllegalArgumentException),则主题A的已消费消息将继续被KafkaListener消费。这是我期望的,因为未提交偏移量,并且使用了DefaultAfterRollbackProcessor

如果我不是使用KafkaListener而是使用流从主题A进行消费,处理并发送到主题B(选项#2),则希望看到相同的行为。但是,即使在我处理IllegalArgumentException时,流也只消耗一次消息。这是预期的行为吗?

在Streams情况下,我唯一的配置如下:

@Configuration
@EnableKafkaStreams
public class KafkaStreamsConfiguration {

    @Bean(name = KafkaStreamsDefaultConfiguration.DEFAULT_STREAMS_CONFIG_BEAN_NAME)
    public StreamsConfig  kStreamsConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "http://localhost:9092");
        props.put(StreamsConfig.APPLICATION_ID_CONFIG, "calculate-tax-sender-invoice-stream");        
        props.put(AbstractKafkaAvroSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, "http://localhost:8082");
        // this should be enough to enable transactions
        props.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, StreamsConfig.EXACTLY_ONCE);
        return new StreamsConfig(props);
    }
}

//required to create and start a new KafkaStreams, as when an exception is thrown the stream dies
// see here: https://docs.spring.io/spring-kafka/reference/html/_reference.html#after-rollback
@Bean(name = KafkaStreamsDefaultConfiguration.DEFAULT_STREAMS_BUILDER_BEAN_NAME)
public StreamsBuilderFactoryBean myKStreamBuilder(StreamsConfig streamsConfig) {
    StreamsBuilderFactoryBean streamsBuilderFactoryBean = new StreamsBuilderFactoryBean(streamsConfig);
    streamsBuilderFactoryBean.setUncaughtExceptionHandler(new Thread.UncaughtExceptionHandler() {
        @Override
        public void uncaughtException(Thread t, Throwable e) {
            log.debug("StopStartStreamsUncaughtExceptionHandler caught exception {}, stopping StreamsThread ..", e);
            streamsBuilderFactoryBean.stop();
            log.debug("creating and starting a new StreamsThread ..");
            streamsBuilderFactoryBean.start();
        }
    });
    return streamsBuilderFactoryBean;
}

我的流是这样的:

@Autowired
public SpecificAvroSerde<InvoiceEvents> eventSerde;

@Autowired
private TaxService taxService;

@Bean
public KStream<String, InvoiceEvents> kStream(StreamsBuilder builder) {

    KStream<String, InvoiceEvents> kStream = builder.stream("A",
            Consumed.with(Serdes.String(), eventSerde));

      kStream
        .mapValues(v -> 
            {
                // get tax from possibly remote service
                // an IllegalArgumentException("Tax calculation failed") is thrown by getTaxForInvoice()
                int tax = taxService.getTaxForInvoice(v);
                // create a TaxCalculated event
                InvoiceEvents taxCalculatedEvent = InvoiceEvents.newBuilder().setType(InvoiceEvent.TaxCalculated).setTax(tax).build();
                log.debug("Generating TaxCalculated event: {}", taxCalculatedEvent);
                return taxCalculatedEvent;
            })
        .to("B", Produced.with(Serdes.String(), eventSerde));

    return kStream;
}

快乐路径流场景有效:如果在处理过程中未引发任何异常,则消息将正确显示在主题B中。

我的单元测试:

@Test
public void calculateTaxForInvoiceTaxCalculationFailed() throws Exception {
    log.debug("running test calculateTaxForInvoiceTaxCalculationFailed..");
    Mockito.when(taxService.getTaxForInvoice(any(InvoiceEvents.class)))
                        .thenThrow(new IllegalArgumentException("Tax calculation failed"));

    InvoiceEvents invoiceCreatedEvent = createInvoiceCreatedEvent();
    List<KeyValue<String, InvoiceEvents>> inputEvents = Arrays.asList(
            new KeyValue<String, InvoiceEvents>("A", invoiceCreatedEvent));

     Properties producerConfig = new Properties();
     producerConfig.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "http://localhost:9092");
     producerConfig.put(ProducerConfig.ACKS_CONFIG, "all");
     producerConfig.put(ProducerConfig.RETRIES_CONFIG, 1);
     producerConfig.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
     producerConfig.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, KafkaAvroSerializer.class.getName());
     producerConfig.put(AbstractKafkaAvroSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, "http://localhost:8082");
     producerConfig.put(ProducerConfig.CLIENT_ID_CONFIG, "unit-test-producer");

    // produce with key
    IntegrationTestUtils.produceKeyValuesSynchronously("A", inputEvents, producerConfig);

    // wait for 30 seconds - I should observe re-consumptions of invoiceCreatedEvent, but I do not
    Thread.sleep(30000);
// ...
}

更新: 在单元测试中,我发送了50个invoiceEvents(orderId = 1,...,50),我对其进行处理并将其发送到目标主题。

在我的日志中,我看到的行为如下:

invoiceEvent.orderId = 43 → consumed and successfully processed
invoiceEvent.orderId = 44 → consumed and IlleagalArgumentException thrown
..new stream starts..
invoiceEvent.orderId = 44 → consumed and successfully processed
invoiceEvent.orderId = 45 → consumed and successfully processed
invoiceEvent.orderId = 46 → consumed and successfully processed
invoiceEvent.orderId = 47 → consumed and successfully processed
invoiceEvent.orderId = 48 → consumed and successfully processed
invoiceEvent.orderId = 49 → consumed and successfully processed
invoiceEvent.orderId = 50 → consumed and IlleagalArgumentException thrown
...
[29-0_0-producer] task [0_0] Error sending record (key A value {"type": ..., "payload": {**"id": "46"**, ... }}} timestamp 1529583666036) to topic invoice-with-tax.t due to {}; No more records will be sent and no more offsets will be recorded for this task.
..new stream starts..
invoiceEvent.**orderId = 46** → consumed and successfully processed
invoiceEvent.orderId = 47 → consumed and successfully processed
invoiceEvent.orderId = 48 → consumed and successfully processed
invoiceEvent.orderId = 49 → consumed and successfully processed
invoiceEvent.orderId = 50 → consumed and successfully processed

为什么第二次失败后,它会从invoiceEvent中重新使用。 orderId = 46

1 个答案:

答案 0 :(得分:0)

使选项2(流事务)起作用的关键点是:

  • 分配一个Thread.UncaughtExceptionHandler(),以便在发生任何未捕获的异常的情况下启动新的StreamThread(默认情况下,StreamThread死亡-请参见后面的代码片段)。如果向Kafka经纪人的生产失败,甚至与流中的业务逻辑代码无关,甚至会发生这种情况。
  • 请考虑设置一个策略来处理消息的脱轨(使用时)。检查DEFAULT_DESERIALIZATION_EXCEPTION_HANDLER_CLASS_CONFIG(javadoc)。例如,您应该忽略并使用下一条消息还是停止从相关的Kafka分区中使用。
  • 对于Streams,即使设置MAX_POLL_RECORDS_CONFIG = 1(每个轮询/批处理一个记录),仍然消耗的偏移量和产生的消息不会按消息提交。这种情况导致出现问题中描述的情况(请参阅“为什么第二次失败后,它会从invoiceEvent.orderId = 46重新使用?”。)
  • Kafka事务根本无法在Windows上运行。该修复程序将在Kafka 1.1.1(https://issues.apache.org/jira/browse/KAFKA-6052)中提供。
  • 考虑检查如何处理序列化异常(或生产过程中的一般异常)(herehere

    @Configuration
    @EnableKafkaStreams
    public class KafkaStreamsConfiguration {
        @Bean(name = KafkaStreamsDefaultConfiguration.DEFAULT_STREAMS_CONFIG_BEAN_NAME)
        public StreamsConfig  kStreamsConfigs() {
            Map<String, Object> props = new HashMap<>();
            props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "http://localhost:9092");
            props.put(StreamsConfig.APPLICATION_ID_CONFIG, "blabla");
            props.put(AbstractKafkaAvroSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, "http://localhost:8082");
            // this should be enough to enable transactions
            props.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, StreamsConfig.EXACTLY_ONCE);
            return new StreamsConfig(props);
        }
    }
    
    @Bean(name = KafkaStreamsDefaultConfiguration.DEFAULT_STREAMS_BUILDER_BEAN_NAME)
    public StreamsBuilderFactoryBean myKStreamBuilder(StreamsConfig streamsConfig) 
    {
        StreamsBuilderFactoryBean streamsBuilderFactoryBean = new StreamsBuilderFactoryBean(streamsConfig);
        streamsBuilderFactoryBean.setUncaughtExceptionHandler(new Thread.UncaughtExceptionHandler() {
            @Override
            public void uncaughtException(Thread t, Throwable e) {
                log.debug("StopStartStreamsUncaughtExceptionHandler caught exception {}, stopping StreamsThread ..", e);
                streamsBuilderFactoryBean.stop();
                log.debug("creating and starting a new StreamsThread ..");
                streamsBuilderFactoryBean.start();
            }
        });
        return streamsBuilderFactoryBean;
    }
    
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