【问题标题】:KafkaListenerEndpointContainer Could not create Kafka transaction with Spring KafkaKafkaListenerEndpointContainer 无法使用 Spring Kafka 创建 Kafka 事务
【发布时间】:2019-11-30 17:59:12
【问题描述】:

我正在使用 spring-Kafka 2.2.2.RELEASE(org.apache.kafka:kafka-clients:jar:2.0.1) 和 spring-boot(2.1.1)。我无法执行事务,因为我的侦听器无法获得分配的分区。我只为一次消费者创建了建议的配置。我正在尝试配置事务侦听器容器和恰好一次处理

我使用事务管理器配置了生产者和消费者,生产者使用事务 id,消费者使用isolation.level=read_committed。

@Bean(name = "producerFactory")
        public ProducerFactory<String, MyObject> producerFactory() {
            Map<String, Object> configProps = new HashMap<>();
            configProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapAddress);
            configProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
            configProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, JsonSerializer.class);
            configProps.put(JsonSerializer.ADD_TYPE_INFO_HEADERS, false);
            configProps.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG,true);
            configProps.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG,"txApp");
            DefaultKafkaProducerFactory<String, KafkaSerializer> producerFactory = new DefaultKafkaProducerFactory<>(configProps);
            producerFactory.setTransactionIdPrefix("tx.");

                    return producerFactory;
        }



@Bean
    public KafkaTransactionManager<?, ?> kafkaTransactionManager() {
        KafkaTransactionManager<?, ?> kafkaTransactionManager = new KafkaTransactionManager<>(producerFactory());
        // ...
        return kafkaTransactionManager;
    }

@Bean(name="appTemplate")
    public KafkaTemplate<String,MyObject> kafkaTemplate(){
        KafkaTemplate<String, MyObject> kafkaTemplate = new KafkaTemplate<>(
                producerFactory());
        return kafkaTemplate;
    }

//Consumer

@Bean("kafkaListenerContainerFactory")
    public ConcurrentKafkaListenerContainerFactory<?, ?> kafkaListenerContainerFactory(ConcurrentKafkaListenerContainerFactoryConfigurer configurer,
                                                                          ConsumerFactory kafkaConsumerFactory,
                                                                          KafkaTransactionManager kafkaTransactionManager) {
        ConcurrentKafkaListenerContainerFactory<Object, Object> factory = new ConcurrentKafkaListenerContainerFactory<>();
        configurer.configure(factory, kafkaConsumerFactory);
        factory.getContainerProperties().setTransactionManager(kafkaTransactionManager());
        return factory;
    }

//in the Consumer
   @KafkaListener(topics = "myTopic", groupId = "ingest", concurrency = "4")
    public void listener(@Payload MyObject message,
                         @Header(KafkaHeaders.RECEIVED_PARTITION_ID) int partition) throws ExecutionException, InterruptedException {

...

// In my producer

myTemplate.executeInTransaction(t-> t.send(kafkaConfig.getTopicName(), myMessage));

我希望看到消息到达我的侦听器,但是当我执行生产者时,我收到以下错误:

22-07-2019 10:21:55.283 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] ERROR  o.a.k.c.c.i.ConsumerCoordinator.onJoinComplete request.id= request.caller=  - [Consumer clientId=consumer-2, groupId=ingest] User provided listener org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer$ListenerConsumerRebalanceListener failed on partition assignment 
org.springframework.transaction.CannotCreateTransactionException: Could not create Kafka transaction; nested exception is org.apache.kafka.common.errors.TimeoutException: Timeout expired while initializing transactional state in 60000ms.
    at org.springframework.kafka.transaction.KafkaTransactionManager.doBegin(KafkaTransactionManager.java:150)
    at org.springframework.transaction.support.AbstractPlatformTransactionManager.getTransaction(AbstractPlatformTransactionManager.java:378)
    at org.springframework.transaction.support.TransactionTemplate.execute(TransactionTemplate.java:137)
    at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer$ListenerConsumerRebalanceListener.onPartitionsAssigned(KafkaMessageListenerContainer.java:1657)
    at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.onJoinComplete(ConsumerCoordinator.java:283)
    at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.joinGroupIfNeeded(AbstractCoordinator.java:422)
    at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureActiveGroup(AbstractCoordinator.java:352)
    at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureActiveGroup(AbstractCoordinator.java:337)
    at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.poll(ConsumerCoordinator.java:343)
    at org.apache.kafka.clients.consumer.KafkaConsumer.updateAssignmentMetadataIfNeeded(KafkaConsumer.java:1218)
    at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1175)
    at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1154)
    at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.pollAndInvoke(KafkaMessageListenerContainer.java:719)
    at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.run(KafkaMessageListenerContainer.java:676)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.kafka.common.errors.TimeoutException: Timeout expired while initializing transactional state in 60000ms.

【问题讨论】:

    标签: java spring-boot apache-kafka kafka-consumer-api spring-kafka


    【解决方案1】:

    查看服务器日志;很可能您没有足够的副本来支持事务(默认为 3)。如果您只是测试,可以将其设置为 1。

    查看代理属性transaction.state.log.replication.factormin.insync.replicas

    事务主题的复制因子(设置更高以确保可用性)。在集群大小满足此复制因子要求之前,内部主题创建将失败。

    当生产者将确认设置为“all”(或“-1”)时,此配置指定必须确认写入才能被视为成功的最小副本数。如果无法满足此最小值,则生产者将引发异常(NotEnoughReplicas 或 NotEnoughReplicasAfterAppend)。 当一起使用时,min.insync.replicas 和 acks 允许您强制执行更大的持久性保证。一个典型的场景是创建一个复制因子为 3 的主题,将 min.insync.replicas 设置为 2,并使用“all”的 acks 生成。如果大多数副本没有收到写入,这将确保生产者引发异常。

    【讨论】:

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