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https://issues.apache.org/jira/browse/KAFKA-7508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16656854#comment-16656854
]
Manikumar commented on KAFKA-7508:
----------------------------------
[~sathish051] Please add Kafka and Java version details. Why is PermSize is
small. Try increasing PermGen size.
PermGen space is replaced by MetaSpace in Java 8. Suggested settings:
http://kafka.apache.org/documentation/#java
We need to monitor heap size and if required may need to take heap dump.
Profiling helps us to find out the root cause.
You can also take periodic Jmap command output for memory analysis
$jmap -histo:live <pid> //to print histogram of live java object heap
> Kafka broker anonymous disconnected from Zookeeper
> --------------------------------------------------
>
> Key: KAFKA-7508
> URL: https://issues.apache.org/jira/browse/KAFKA-7508
> Project: Kafka
> Issue Type: Task
> Components: admin, config
> Reporter: Sathish Yanamala
> Priority: Blocker
>
> Hello Team,
>
> We are facing below Error , Kafka broker unable to connect Zookeeper , Please
> check and suggest is there any configuration changes required on Kafka Broker.
>
> ERROR:
> 2018-10-15 12:24:07,502 WARN kafka.network.Processor: Attempting to send
> response via channel for which there is no open connection, connection id
> -<Broker IP Address> -:9093--<Broker IP Address> -:47542-25929
> 2018-10-15 12:24:09,428 INFO kafka.coordinator.group.GroupCoordinator:
> [GroupCoordinator 3]: Group KMOffsetCache-xxxxxxx with generation 9 is now
> empty (__consumer_offsets-22)
> 2018-10-15 12:24:09,428 INFO kafka.server.epoch.LeaderEpochFileCache: Updated
> PartitionLeaderEpoch. New: \{epoch:1262, offset:151}, Current: \{epoch:1261,
> offset144} for Partition: __consumer_offsets-22. Cache now contains 15
> entries.
> {color:#d04437}*2018-10-15 12:24:10,905 ERROR kafka.utils.KafkaScheduler:
> Uncaught exception in scheduled task 'highwatermark-checkpoint'*{color}
> {color:#d04437}*java.lang.OutOfMemoryError: Java heap space*{color}
> {color:#d04437} at{color}
> scala.collection.convert.DecorateAsScala$$Lambda$214/xxxxx.get$Lambda(Unknown
> Source)
> at
> java.lang.invoke.LambdaForm$DMH/xxxxxxx.invokeStatic_LL_L(LambdaForm$DMH)
> at
> java.lang.invoke.LambdaForm$MH/xxxxxx.linkToTargetMethod(LambdaForm$MH)
> at
> scala.collection.convert.DecorateAsScala.collectionAsScalaIterableConverter(DecorateAsScala.scala:45)
> at
> scala.collection.convert.DecorateAsScala.collectionAsScalaIterableConverter$(DecorateAsScala.scala:44)
> at
> scala.collection.JavaConverters$.collectionAsScalaIterableConverter(JavaConverters.scala:73)
> at kafka.utils.Pool.values(Pool.scala:85)
> at
> kafka.server.ReplicaManager.nonOfflinePartitionsIterator(ReplicaManager.scala:397)
> at
> kafka.server.ReplicaManager.checkpointHighWatermarks(ReplicaManager.scala:1340)
> at
> kafka.server.ReplicaManager.$anonfun$startHighWaterMarksCheckPointThread$1(ReplicaManager.scala:253)
> at
> kafka.server.ReplicaManager$$Lambda$608/xxxxxx.apply$mcV$sp(Unknown Source)
> at
> kafka.utils.KafkaScheduler.$anonfun$schedule$2(KafkaScheduler.scala:110)
> at
> kafka.utils.KafkaScheduler$$Lambda$269/xxxxxxxx.apply$mcV$sp(Unknown Source)
> at kafka.utils.CoreUtils$$anon$1.run(CoreUtils.scala:61)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
>
> Thank you,
> Sathish Yanamala
> M:832-382-4487
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