[ 
https://issues.apache.org/jira/browse/FLINK-8895?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Flink Jira Bot updated FLINK-8895:
----------------------------------
      Labels: auto-deprioritized-major auto-deprioritized-minor  (was: 
auto-deprioritized-major stale-minor)
    Priority: Not a Priority  (was: Minor)

This issue was labeled "stale-minor" 7 days ago and has not received any 
updates so it is being deprioritized. If this ticket is actually Minor, please 
raise the priority and ask a committer to assign you the issue or revive the 
public discussion.


> Job failed when one kafka broker shutdown
> -----------------------------------------
>
>                 Key: FLINK-8895
>                 URL: https://issues.apache.org/jira/browse/FLINK-8895
>             Project: Flink
>          Issue Type: Bug
>          Components: Connectors / Kafka
>    Affects Versions: 1.2.1
>            Reporter: Godfrey He
>            Priority: Not a Priority
>              Labels: auto-deprioritized-major, auto-deprioritized-minor
>
> I used a  FlinkKafkaConsumer08 to get records from kafka,but job failed when 
> a broker shutdown.
>  
> I want to know it is possible to filter the failed broker and get the records 
> with the others brokers?which need to modify Flink's source code.
>  
> And I get the following error:
> {code:java}
> // code placeholder
> java.net.SocketTimeoutException at 
> sun.nio.ch.SocketAdaptor$SocketInputStream.read(SocketAdaptor.java:211) at 
> sun.nio.ch.ChannelInputStream.read(ChannelInputStream.java:103) at 
> java.nio.channels.Channels$ReadableByteChannelImpl.read(Channels.java:385) at 
> kafka.utils.Utils$.read(Utils.scala:380) at 
> kafka.network.BoundedByteBufferReceive.readFrom(BoundedByteBufferReceive.scala:54)
>  at kafka.network.Receive$class.readCompletely(Transmission.scala:56) at 
> kafka.network.BoundedByteBufferReceive.readCompletely(BoundedByteBufferReceive.scala:29)
>  at kafka.network.BlockingChannel.receive(BlockingChannel.scala:111) at 
> kafka.consumer.SimpleConsumer.liftedTree1$1(SimpleConsumer.scala:79) at 
> kafka.consumer.SimpleConsumer.kafka$consumer$SimpleConsumer$$sendRequest(SimpleConsumer.scala:68)
>  at 
> kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SimpleConsumer.scala:112)
>  at 
> kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:112)
>  at 
> kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:112)
>  at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) at 
> kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply$mcV$sp(SimpleConsumer.scala:111)
>  at 
> kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:111)
>  at 
> kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:111)
>  at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) at 
> kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:110) at 
> kafka.javaapi.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:47) at 
> org.apache.flink.streaming.connectors.kafka.internals.SimpleConsumerThread.run(SimpleConsumerThread.java:220)
> {code}
>  



--
This message was sent by Atlassian Jira
(v8.20.1#820001)

Reply via email to