org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.

GitHub | raju-divakaran | 6 months ago
  1. 0

    ERROR Commit of WorkerSinkTask id + offsets threw an unexpected exception:

    GitHub | 6 months ago | raju-divakaran
    org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.
  2. 0

    ERROR Commit of WorkerSinkTask id + offsets threw an unexpected exception

    Google Groups | 6 months ago | Raju Divakaran
    org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.
  3. 0

    Commit offset failed when spark streaming get kafka message per 10 secord

    Stack Overflow | 4 days ago | Chris
    org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.
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    Confluent Kafka connector- cannot stop rebalancing

    Stack Overflow | 3 weeks ago | Vico_Wu
    org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.
  6. 0

    reconsume Kafka 0.10.1 topic in Spring

    Stack Overflow | 2 months ago | Raf
    org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.

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    Root Cause Analysis

    1. org.apache.kafka.clients.consumer.CommitFailedException

      Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.

      at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle()
    2. org.apache.kafka
      ConsumerNetworkClient$RequestFutureCompletionHandler.onComplete
      1. org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:578)
      2. org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:519)
      3. org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:679)
      4. org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:658)
      5. org.apache.kafka.clients.consumer.internals.RequestFuture$1.onSuccess(RequestFuture.java:167)
      6. org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:133)
      7. org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:107)
      8. org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient$RequestFutureCompletionHandler.onComplete(ConsumerNetworkClient.java:426)
      8 frames
    3. Apache Kafka
      NetworkClient.poll
      1. org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:278)
      1 frame
    4. org.apache.kafka
      ConsumerNetworkClient.poll
      1. org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.clientPoll(ConsumerNetworkClient.java:360)
      2. org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:224)
      3. org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:201)
      3 frames
    5. Apache Kafka
      KafkaConsumer.poll
      1. org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:998)
      2. org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:937)
      2 frames
    6. org.apache.kafka
      WorkerTask.run
      1. org.apache.kafka.connect.runtime.WorkerSinkTask.pollConsumer(WorkerSinkTask.java:305)
      2. org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:222)
      3. org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:170)
      4. org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:142)
      5. org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:140)
      6. org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:175)
      6 frames
    7. Java RT
      Thread.run
      1. java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
      2. java.util.concurrent.FutureTask.run(FutureTask.java:266)
      3. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      4. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      5. java.lang.Thread.run(Thread.java:745)
      5 frames