kafka消费报错 Offset commit cannot be completed since the consumer is not part of an active group for auto partition assignment;

1、kafka消费报错

2020-12-02 23:04:32.290 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] ERROR o.s.k.l.KafkaMessageListenerContainer$ListenerConsumer - Consumer exception
org.springframework.kafka.KafkaException: Seek to current after exception; nested exception is org.apache.kafka.clients.consumer.CommitFailedException: Offset commit cannot be completed since the consumer is not part of an active group for auto partition assignment; it is likely that the consumer was kicked out of the group.
        at org.springframework.kafka.listener.SeekToCurrentBatchErrorHandler.handle(SeekToCurrentBatchErrorHandler.java:72)
        at org.springframework.kafka.listener.RecoveringBatchErrorHandler.handle(RecoveringBatchErrorHandler.java:124)
        at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.handleConsumerException(KafkaMessageListenerContainer.java:1378)
        at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.run(KafkaMessageListenerContainer.java:1085)
        at java.util.concurrent.Executors$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.clients.consumer.CommitFailedException: Offset commit cannot be completed since the consumer is not part of an active group for auto partition assignment; it is likely that the consumer was kicked out of the group.
        at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.sendOffsetCommitRequest(ConsumerCoordinator.java:1134)
        at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.commitOffsetsSync(ConsumerCoordinator.java:999)
        at org.apache.kafka.clients.consumer.KafkaConsumer.commitSync(KafkaConsumer.java:1504)
        at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.doCommitSync(KafkaMessageListenerContainer.java:2331)
        at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.commitSync(KafkaMessageListenerContainer.java:2326)

2、kafka版本kafka_2.11-2.4.0

3、设置了手动commit,配置代码如下

@Configuration
@EnableKafka
public class KafkaConfig {
    @Autowired
    private PropsConfig propsConfig;


    @Bean
    KafkaListenerContainerFactory<?> batchFactory() {
        ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(new DefaultKafkaConsumerFactory<>(consumerConfigs()));
        // 开启批量监听
        factory.setBatchListener(true);
        factory.getContainerProperties().setPollTimeout(propsConfig.getPollTimeout());
        factory.getContainerProperties().setAckMode(ContainerProperties.AckMode.MANUAL);
        return factory;
    }

    @Bean
    public Map<String, Object> consumerConfigs() {
        Map<String, Object> propsMap = new HashMap<>();
        propsMap.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, propsConfig.getServers());
        propsMap.put(ConsumerConfig.GROUP_ID_CONFIG, propsConfig.getGroupId());
        propsMap.put(ConsumerConfig.CLIENT_ID_CONFIG, propsConfig.getClientId());
        propsMap.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, propsConfig.getEnableAutoCommit());
        propsMap.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "1000");
        // 如果没有offset则从最后的offset开始读
        propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest");
        // 必须大于session.timeout.ms的设置
        propsMap.put(ConsumerConfig.REQUEST_TIMEOUT_MS_CONFIG, "40000");
        // 默认为30秒
        propsMap.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "30000");
        propsMap.put(ConsumerConfig.ISOLATION_LEVEL_CONFIG, "read_committed");
        //设置每次接收Message的数量
        propsMap.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, 1000);
        propsMap.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        propsMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, MessageDeserializer.class.getName());
        return propsMap;
    }

}

# kafka配置
  kafka:
    bootstrap-servers: 192.168.54.150:9092
    consumer:
      topic: example_wk_new
      # 是否自动提交offset
      enable-auto-commit: false
      properties:
        group-id: example_wk_new
        pollTimeout: 3000
      client-id: example_wk_new_1

    listener:
      # 消费端监听的topic不存在时，项目启动会报错(关掉)
      missing-topics-fatal: false

请问这是怎么回事？需要修改什么？

默认情况下，消息处理时间超过了30秒，kafka将该消费者从组中移除了，认为其已经无效。所以将组中移除，所以提交offset失败了。

可以参考这个问题的第一个回答，来调整你的参数：https://www.orchome.com/893

回答于 4年前

半兽人

杨小姐 -> 半兽人 4年前

所以为了能够在30秒内消费完消息，使每次的消息量减少，是不是可以减小 max.poll.records 值得设置

或者哪个配置可以增加消息处理时间？还是需要增加几个分区，增加消费者数量

半兽人 -> 杨小姐 4年前

不用调整max.poll.records，一个批次中一条消息别超过30秒即可（阻塞）。

heartbeat.interval.ms
session.timeout.ms
..忘了（程序会报错，你根据报错提示追加即可）

参考：https://www.orchome.com/535

然后，他的这一次消费失败，是不是自动将消息重新投递到其他分区的消费者消费？

对会重复消费，因为你没优先提交offset。

谢谢大佬的解答

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kafka消费报错 Offset commit cannot be completed since the consumer is not part of an active group for auto partition assignment;

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