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Kafka >> mail # dev >> [jira] [Commented] (KAFKA-273) Occassional GZIP errors on the server while writing compressed data to disk


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[jira] [Commented] (KAFKA-273) Occassional GZIP errors on the server while writing compressed data to disk

    [ https://issues.apache.org/jira/browse/KAFKA-273?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13706377#comment-13706377 ]

Jay Kreps commented on KAFKA-273:
---------------------------------

Is this still happening?
                
> Occassional GZIP errors on the server while writing compressed data to disk
> ---------------------------------------------------------------------------
>
>                 Key: KAFKA-273
>                 URL: https://issues.apache.org/jira/browse/KAFKA-273
>             Project: Kafka
>          Issue Type: Bug
>          Components: core
>    Affects Versions: 0.7
>            Reporter: Neha Narkhede
>            Assignee: Neha Narkhede
>         Attachments: kafka-273.patch
>
>
> Occasionally, we see the following errors on the Kafka server -
> 2012/02/08 14:58:21.832 ERROR [KafkaRequestHandlers] [kafka-processor-6] [kafka] Error processing MultiProducerRequest on NusImpressionSetEvent:0
> java.io.EOFException: Unexpected end of ZLIB input stream
>         at java.util.zip.InflaterInputStream.fill(InflaterInputStream.java:223)
>         at java.util.zip.InflaterInputStream.read(InflaterInputStream.java:141)
>         at java.util.zip.GZIPInputStream.read(GZIPInputStream.java:92)
>         at java.io.FilterInputStream.read(FilterInputStream.java:90)
>         at kafka.message.GZIPCompression.read(CompressionUtils.scala:52)
>         at kafka.message.CompressionUtils$$anonfun$decompress$1.apply$mcI$sp(CompressionUtils.scala:143)
>         at kafka.message.CompressionUtils$$anonfun$decompress$1.apply(CompressionUtils.scala:143)
>         at kafka.message.CompressionUtils$$anonfun$decompress$1.apply(CompressionUtils.scala:143)
>         at scala.collection.immutable.Stream$$anonfun$continually$1.apply(Stream.scala:598)
>         at scala.collection.immutable.Stream$$anonfun$continually$1.apply(Stream.scala:598)
>         at scala.collection.immutable.Stream$Cons.tail(Stream.scala:555)
>         at scala.collection.immutable.Stream$Cons.tail(Stream.scala:549)
>         at scala.collection.immutable.Stream$$anonfun$takeWhile$1.apply(Stream.scala:394)
>         at scala.collection.immutable.Stream$$anonfun$takeWhile$1.apply(Stream.scala:394)
>         at scala.collection.immutable.Stream$Cons.tail(Stream.scala:555)
>         at scala.collection.immutable.Stream$Cons.tail(Stream.scala:549)
>         at scala.collection.immutable.Stream.foreach(Stream.scala:255)
>         at kafka.message.CompressionUtils$.decompress(CompressionUtils.scala:143)
>         at kafka.message.ByteBufferMessageSet$$anon$1.makeNextOuter(ByteBufferMessageSet.scala:119)
>         at kafka.message.ByteBufferMessageSet$$anon$1.makeNext(ByteBufferMessageSet.scala:132)
>         at kafka.message.ByteBufferMessageSet$$anon$1.makeNext(ByteBufferMessageSet.scala:81)
>         at kafka.utils.IteratorTemplate.maybeComputeNext(IteratorTemplate.scala:59)
>         at kafka.utils.IteratorTemplate.hasNext(IteratorTemplate.scala:51)
>         at scala.collection.Iterator$class.foreach(Iterator.scala:631)
>         at kafka.utils.IteratorTemplate.foreach(IteratorTemplate.scala:30)
>         at scala.collection.IterableLike$class.foreach(IterableLike.scala:79)
>         at kafka.message.MessageSet.foreach(MessageSet.scala:87)
>         at kafka.log.Log.append(Log.scala:204)
>         at kafka.server.KafkaRequestHandlers.kafka$server$KafkaRequestHandlers$$handleProducerRequest(KafkaRequestHandlers.scala:70)
>         at kafka.server.KafkaRequestHandlers$$anonfun$handleMultiProducerRequest$1.apply(KafkaRequestHandlers.scala:63)
>         at kafka.server.KafkaRequestHandlers$$anonfun$handleMultiProducerRequest$1.apply(KafkaRequestHandlers.scala:63)
>         at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:206)
>         at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:206)
>         at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:34)

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