Kafka Spring 批量消费者 - 提交单个偏移量

Kafka Spring Batch Consumer - Commit single offset

我在 SpringBoot 中使用 Kafka 批处理监听器时遇到问题。

@Bean
public Map<String, Object> consumerConfigs() {
Map<String, Object> props = new HashMap<>();

props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, this.bootstrapServers);
props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, this.maxPollRecords);
props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false);
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, this.autoOffsetReset);

props.put(ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG, this.maxFetchBytesMaxPartition);
props.put(ConsumerConfig.FETCH_MAX_BYTES_CONFIG, this.maxFetchBytesMax);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, ErrorHandlingDeserializer2.class);
props.put(ErrorHandlingDeserializer2.VALUE_DESERIALIZER_CLASS, ByteArrayDeserializer.class);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);

props.put(ConsumerConfig.RECEIVE_BUFFER_CONFIG, receiveBuffer);
props.put(ConsumerConfig.HEARTBEAT_INTERVAL_MS_CONFIG, heartbeatInterval);
props.put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, pollInterval);
props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, sessionTimeout);
props.put(ConsumerConfig.FETCH_MIN_BYTES_CONFIG, minFetch);
props.put(ConsumerConfig.FETCH_MAX_WAIT_MS_CONFIG, maxWaitFetch);
return props;
}

@Bean
public DefaultKafkaConsumerFactory<String, byte[]> consumerFactory() {
    return new DefaultKafkaConsumerFactory<>(consumerConfigs());
}


@Bean
public KafkaListenerContainerFactory<?> kafkaListenerContainerFactory() {
    ConcurrentKafkaListenerContainerFactory<String, byte[]> factory = new ConcurrentKafkaListenerContainerFactory<>();

    try {
        factory.setConsumerFactory(consumerFactory());
        factory.getContainerProperties().setAckOnError(false);
        factory.setBatchListener(true);
        factory.getContainerProperties().setSyncCommits(false);
        factory.setBatchErrorHandler(new SeekToCurrentBatchErrorHandler());
        factory.getContainerProperties().setAckMode(AckMode.MANUAL_IMMEDIATE);
    } catch(Exception e) {
        logger.error("Error KafkaListenerContainerFactory: {}", e.getMessage());
    }

    return factory;
}

所以,这是@KafkaListener

@KafkaListener(autoStartup = "${kafka-startup}", groupId = "${kafka-group}", topics = "${queue}",
        containerFactory = "kafkaListenerContainerFactory", concurrency = "${concurrency}")
public void listen(@Payload List<byte[]> messages,
                   @Header(KafkaHeaders.RECEIVED_MESSAGE_KEY) List<String> keys,
                   @Header(KafkaHeaders.RECEIVED_PARTITION_ID) List<Integer> partitions,
                   @Header(KafkaHeaders.RECEIVED_TIMESTAMP) List<Long> timestamps,
                   @Header(KafkaHeaders.OFFSET) List<Long> offsets,
                   Acknowledgment ack) throws Exception {

    int indexQueue = new Random().nextInt(queues.size());

    for (int i = 0; i < messages.size(); i++) {
        //Do somethings
        ack.acknowledge();
    }
}

此解决方案对我的问题不起作用,因为 ack.acknowledge() 批处理提交。 对于我的解决方案,我需要提交单个消息的偏移量。

我曾尝试将 KafkaConsumer<String, byte[]> consumerconsumer.commitAsync() 一起使用,但情况是一样的。 为了对其进行测试,脚本读取了一批(由 3 个 mex 组成):在第三条消息中,脚本启动了一个异常。

例如:消息1 -> 偏移量10;消息 2 -> 偏移量 11,消息 3 -> 偏移量 12

脚本正在读取:

在下一个循环中,脚本重新读取偏移量为 10 的消息 1,但我希望消息 3 的偏移量为 12。

你有什么想法吗? 你能帮帮我吗?

谢谢

批处理侦听器的 Acknowledgment 只能调用一次。

您现在可以(自 2.3 起)调用 acknowledgment.nack(thisOneFailed, sleep);

https://docs.spring.io/spring-kafka/docs/current/reference/html/#committing-offsets

Starting with version 2.3, the Acknowledgment interface has two additional methods nack(long sleep) and nack(int index, long sleep). The first one is used with a record listener, the second with a batch listener. Calling the wrong method for your listener type will throw an IllegalStateException.