kafka.common.KafkaException: fetching topic metadata for topics [Set(logmessage)] from broker [ArrayBuffer(id:0,host:XX.X.XX.XX,port:XX] failed

Stack Overflow | ram | 2 months ago
  1. 0

    Kafka producer Failed to collate messages by topic, partition due to: fetching topic metadata for topics [Set(logmessage)]

    Stack Overflow | 2 months ago | ram
    kafka.common.KafkaException: fetching topic metadata for topics [Set(logmessage)] from broker [ArrayBuffer(id:0,host:XX.X.XX.XX,port:XX] failed
  2. 0

    Exception fetchTopicMetadataFromZk- Failed to find leader

    Stack Overflow | 1 day ago | kannadhasan
    kafka.common.KafkaException: fetching topic metadata for topics [Set(mydata)] from broker [ArrayBuffer(id:0,host:MYServer,port:9082)] failed
  3. 0

    Kafka Producer error. - Hortonworks

    hortonworks.com | 1 year ago
    kafka.common.KafkaException: fetching topic metadata for topics [Set(test1)] from broker [ArrayBuffer(BrokerEndPoint(0,localhost,9092))] failed
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  5. 0

    Error using Kafkamessagedriven channel adapter

    Stack Overflow | 1 year ago | Prabhakar D
    org.springframework.context.ApplicationContextException: Failed to start bean 'org.springframework.integration.kafka.inbound.KafkaMessageDrivenChannelAdapter#0'; nested exception is kafka.common.KafkaException: fetching topic metadata for topics [Set(fulfillment.payments.autopay.listeddueaccounts)] from broker [List()] failed
  6. 0

    GitHub comment 48#32771562

    GitHub | 3 years ago | junrao
    kafka.common.KafkaException: fetching topic metadata for topics [Set(test)] from broker > [ArrayBuffer(id:0,host:192.168.195.177,port:9092)] failed

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Root Cause Analysis

  1. java.nio.channels.ClosedChannelException

    No message provided

    at kafka.network.BlockingChannel.send()
  2. Apache Kafka
    ClientUtils$.fetchTopicMetadata
    1. kafka.network.BlockingChannel.send(BlockingChannel.scala:100)
    2. kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:73)
    3. kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:72)
    4. kafka.producer.SyncProducer.send(SyncProducer.scala:113)
    5. kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:58)
    5 frames