spark version ?
On Wed, Jan 8, 2014 at 12:43 PM, Vipul Pandey <[email protected]> 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
