[jira] [Commented] (KAFKA-4271) The console consumer fails on Windows with new consumer is used

["Vahid Hashemian (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/KAFKA-4271?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15684468#comment-15684468 ] 

Vahid Hashemian commented on KAFKA-4271:
----------------------------------------

[~huxi] Thanks for responding. I checked the RAM, and out of 4 GB available there's plenty left (about half) when I run the consumer.
I also set the config you mentioned to 4 times the default size, but no luck. I still get the same error.

> The console consumer fails on Windows with new consumer is used 
> ----------------------------------------------------------------
>
>                 Key: KAFKA-4271
>                 URL: https://issues.apache.org/jira/browse/KAFKA-4271
>             Project: Kafka
>          Issue Type: Bug
>    Affects Versions: 0.10.0.1
>            Reporter: Vahid Hashemian
>
> When I try to consume message using the new consumer (Quickstart Step 5) I get an exception on the broker side. The old consumer works fine.
> {code}
> java.io.IOException: Map failed
>         at sun.nio.ch.FileChannelImpl.map(Unknown Source)
>         at kafka.log.AbstractIndex.<init>(AbstractIndex.scala:61)
>         at kafka.log.OffsetIndex.<init>(OffsetIndex.scala:51)
>         at kafka.log.LogSegment.<init>(LogSegment.scala:67)
>         at kafka.log.Log.loadSegments(Log.scala:255)
>         at kafka.log.Log.<init>(Log.scala:108)
>         at kafka.log.LogManager.createLog(LogManager.scala:362)
>         at kafka.cluster.Partition.getOrCreateReplica(Partition.scala:94)
>         at kafka.cluster.Partition$$anonfun$4$$anonfun$apply$2.apply(Partition.scala:174)
>         at kafka.cluster.Partition$$anonfun$4$$anonfun$apply$2.apply(Partition.scala:174)
>         at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
>         at kafka.cluster.Partition$$anonfun$4.apply(Partition.scala:174)
>         at kafka.cluster.Partition$$anonfun$4.apply(Partition.scala:168)
>         at kafka.utils.CoreUtils$.inLock(CoreUtils.scala:234)
>         at kafka.utils.CoreUtils$.inWriteLock(CoreUtils.scala:242)
>         at kafka.cluster.Partition.makeLeader(Partition.scala:168)
>         at kafka.server.ReplicaManager$$anonfun$makeLeaders$4.apply(ReplicaManager.scala:740)
>         at kafka.server.ReplicaManager$$anonfun$makeLeaders$4.apply(ReplicaManager.scala:739)
>         at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
>         at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
>         at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
>         at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
>         at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
>         at kafka.server.ReplicaManager.makeLeaders(ReplicaManager.scala:739)
>         at kafka.server.ReplicaManager.becomeLeaderOrFollower(ReplicaManager.scala:685)
>         at kafka.server.KafkaApis.handleLeaderAndIsrRequest(KafkaApis.scala:148)
>         at kafka.server.KafkaApis.handle(KafkaApis.scala:82)
>         at kafka.server.KafkaRequestHandler.run(KafkaRequestHandler.scala:60)
>         at java.lang.Thread.run(Unknown Source)
> Caused by: java.lang.OutOfMemoryError: Map failed
>         at sun.nio.ch.FileChannelImpl.map0(Native Method)
>         ... 29 more
> {code}
> This issue seems to break the broker and I have to clear out the logs so I can bring the broker back up again.
> Update: This issue seems to occur on 32-bit Windows only. I tried this on a Windows 32-bit VM. On a 64-bit machine I did not get the error.



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