Hi, Can you please try to show the stack trace line by line, because its bit difficult to read the entire paragraph and make sense out of it .
On Mon, Mar 14, 2016 at 3:11 PM, adamreith [via Apache Spark User List] < [email protected]> wrote: > Hi, > > I'm using spark 1.4.1 and i have a simple application that create a > dstream that read data from kafka and apply a filter transformation on it. > After more or less a day throw the following exception: > > *Exception in thread "dag-scheduler-event-loop" > java.lang.OutOfMemoryError: Java heap space at > org.apache.spark.util.io.ByteArrayChunkOutputStream.allocateNewChunkIfNeeded(ByteArrayChunkOutputStream.scala:66) > at > org.apache.spark.util.io.ByteArrayChunkOutputStream.write(ByteArrayChunkOutputStream.scala:55) > at > org.xerial.snappy.SnappyOutputStream.dumpOutput(SnappyOutputStream.java:294) > at org.xerial.snappy.SnappyOutputStream.flush(SnappyOutputStream.java:273) > at org.xerial.snappy.SnappyOutputStream.close(SnappyOutputStream.java:324) > at > org.apache.spark.io.SnappyOutputStreamWrapper.close(CompressionCodec.scala:203) > at com.esotericsoftware.kryo.io.Output.close(Output.java:168) at > org.apache.spark.serializer.KryoSerializationStream.close(KryoSerializer.scala:162) > at > org.apache.spark.broadcast.TorrentBroadcast$.blockifyObject(TorrentBroadcast.scala:203) > at > org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:102) > at > org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:85) > at > org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:34) > at > org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62) > at org.apache.spark.SparkContext.broadcast(SparkContext.scala:1291) at > org.apache.spark.scheduler.DAGScheduler.org > <http://org.apache.spark.scheduler.DAGScheduler.org>$apache$spark$scheduler$DAGScheduler$$submitMissingTasks(DAGScheduler.scala:874) > at org.apache.spark.scheduler.DAGScheduler.org > <http://org.apache.spark.scheduler.DAGScheduler.org>$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:815) > at > org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:799) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1426) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) [Stage > 53513:> (0 + 0) / > 4]Exception in thread "JobGenerator" java.lang.OutOfMemoryError: GC > overhead limit exceeded at > sun.net.www.protocol.jar.Handler.openConnection(Handler.java:41) at > java.net.URL.openConnection(URL.java:972) at > java.net.URLClassLoader.getResourceAsStream(URLClassLoader.java:237) at > java.lang.Class.getResourceAsStream(Class.java:2223) at > org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:38) > at > org.apache.spark.util.ClosureCleaner$.getInnerClosureClasses(ClosureCleaner.scala:98) > at > org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:197) > at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:132) at > org.apache.spark.SparkContext.clean(SparkContext.scala:1893) at > org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:294) at > org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:293) at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:286) at > org.apache.spark.rdd.RDD.map(RDD.scala:293) at > org.apache.spark.streaming.dstream.MappedDStream$$anonfun$compute$1.apply(MappedDStream.scala:35) > at > org.apache.spark.streaming.dstream.MappedDStream$$anonfun$compute$1.apply(MappedDStream.scala:35) > at scala.Option.map(Option.scala:145) at > org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350) > at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) at > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349) > at > org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:399) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:344) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:342) > at scala.Option.orElse(Option.scala:257) at > org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:339) > at > org.apache.spark.streaming.dstream.FilteredDStream.compute(FilteredDStream.scala:35) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350) > at > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350)* > > I dumped the heap of the driver process and seems that 486.2 MB on 512 MB > of the available memory is used by an instance of the class > *org.apache.spark.deploy.yarn.history.YarnHistoryService*. I'm trying to > figure out how to solve the issue but till now i didn't found a solution. > > Could someone help me to sort out the issue? > > > > Thanks > > ------------------------------ > If you reply to this email, your message will be added to the discussion > below: > > http://apache-spark-user-list.1001560.n3.nabble.com/OOM-Exception-in-my-spark-streaming-application-tp26479.html > To start a new topic under Apache Spark User List, email > [email protected] > To unsubscribe from Apache Spark User List, click here > <http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=1&code=bGVhcm5pbmdzLmNoaXR0dXJpQGdtYWlsLmNvbXwxfC03NzExMjUwMg==> > . > NAML > <http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml> > -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/OOM-Exception-in-my-spark-streaming-application-tp26479p26480.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
