spark-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Prashant Sharma <scrapco...@gmail.com>
Subject Re: newbie : java.lang.OutOfMemoryError: Java heap space
Date Wed, 08 Jan 2014 07:31:16 GMT
spark version ?


On Wed, Jan 8, 2014 at 12:43 PM, Vipul Pandey <vipandey@gmail.com> wrote:

> Hi,
>
> Disclaimer : Newbie (well, a returning user)
>
> Setup :
> 20 nodes
> -Dspark.executor.memory=40g  , essentially tons of space for my usecase
>
>
> Pretty straight forward join between two inputs
> - 17G (distributed in 10 equally sized - 1.7g files)
> - 49Mb (1 file)
> I just need to join based on the keys and write out values from both as
> tuples
> ==================================================================
>
>     val XA = sc.textFile("path-to-17GB") //assume this to be a tab
> separated key value pair
>     val XAMap = XA.map(x => {
>       val arr = x.split("\t")
>       (arr(0),arr(1))
>     })
>
>
>     val XY = sc.textFile("pathTo49MB")  // assume it to be a tab separated
> key value pair
>     val XYMap = XY.map(x => {
>      val arr  = x.split("\t")
>       (arr(0), arr(1))
>     }).collect.toMap
>
>     val bc = sc.broadcast(XYMap)
>
>     val joined =  XAMap.map(v => {
>       (bc.value(v._1),v._2)
>     })
>
>     joined.saveAsTextFile("path-to-output")
> ==================================================================
>
> When i try to save the text file it throws a OOME and my shell quits.
> any clues?
>
> scala>     joined.saveAsTextFile("path-to-output")
> Uncaught error from thread [spark-akka.actor.default-dispatcher-4]
> shutting down JVM since 'akka.jvm-exit-on-fatal-error' is enabled for
> ActorSystem[spark]
> java.lang.OutOfMemoryError: Java heap space
> at java.util.Arrays.copyOf(Arrays.java:2786)
>  at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:94)
>  at
> java.io.ObjectOutputStream$BlockDataOutputStream.write(ObjectOutputStream.java:1823)
> at java.io.ObjectOutputStream.write(ObjectOutputStream.java:670)
>  at
> org.apache.spark.scheduler.ResultTask.writeExternal(ResultTask.scala:116)
>  at
> java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java:1429)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1398)
>  at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1158)
>  at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:330)
> at
> org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:27)
>  at
> org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:47)
>  at
> org.apache.spark.scheduler.Task$.serializeWithDependencies(Task.scala:78)
> at
> org.apache.spark.scheduler.cluster.ClusterTaskSetManager.resourceOffer(ClusterTaskSetManager.scala:375)
>  at
> org.apache.spark.scheduler.cluster.ClusterScheduler$$anonfun$resourceOffers$3$$anonfun$apply$3$$anonfun$apply$1.apply$mcVI$sp(ClusterScheduler.scala:215)
>  at
> org.apache.spark.scheduler.cluster.ClusterScheduler$$anonfun$resourceOffers$3$$anonfun$apply$3.apply(ClusterScheduler.scala:212)
>  at
> org.apache.spark.scheduler.cluster.ClusterScheduler$$anonfun$resourceOffers$3$$anonfun$apply$3.apply(ClusterScheduler.scala:209)
>  at scala.collection.Iterator$class.foreach(Iterator.scala:772)
>  at scala.collection.Iterator$$anon$19.foreach(Iterator.scala:399)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:73)
>  at scala.Enumeration$ValueSet.foreach(Enumeration.scala:234)
>  at
> org.apache.spark.scheduler.cluster.ClusterScheduler$$anonfun$resourceOffers$3.apply(ClusterScheduler.scala:209)
>  at
> org.apache.spark.scheduler.cluster.ClusterScheduler$$anonfun$resourceOffers$3.apply(ClusterScheduler.scala:209)
>  at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:60)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>  at
> org.apache.spark.scheduler.cluster.ClusterScheduler.resourceOffers(ClusterScheduler.scala:209)
>  at
> org.apache.spark.scheduler.cluster.StandaloneSchedulerBackend$DriverActor.makeOffers(StandaloneSchedulerBackend.scala:113)
>  at
> org.apache.spark.scheduler.cluster.StandaloneSchedulerBackend$DriverActor$$anonfun$receive$1.apply(StandaloneSchedulerBackend.scala:91)
>  at
> org.apache.spark.scheduler.cluster.StandaloneSchedulerBackend$DriverActor$$anonfun$receive$1.apply(StandaloneSchedulerBackend.scala:64)
>  at akka.actor.Actor$class.apply(Actor.scala:318)
> at
> org.apache.spark.scheduler.cluster.StandaloneSchedulerBackend$DriverActor.apply(StandaloneSchedulerBackend.scala:47)
>  at akka.actor.ActorCell.invoke(ActorCell.scala:626)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:197)
>
>


-- 
Prashant

Mime
View raw message