Now running with *--num-executors 9973 --driver-memory 14g --driver-java-options "-XX:MaxPermSize=512M -Xmx4096M -Xms4096M" --executor-memory 14g --executor-cores 1*
On Wed, Jun 24, 2015 at 10:34 AM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> wrote: > There are multiple of these > > 1) > 15/06/24 09:53:37 ERROR executor.Executor: Exception in task 443.0 in > stage 3.0 (TID 1767) > java.lang.OutOfMemoryError: GC overhead limit exceeded > at > sun.reflect.GeneratedSerializationConstructorAccessor1327.newInstance(Unknown > Source) > at java.lang.reflect.Constructor.newInstance(Constructor.java:526) > at > org.objenesis.instantiator.sun.SunReflectionFactoryInstantiator.newInstance(SunReflectionFactoryInstantiator.java:56) > at com.esotericsoftware.kryo.Kryo.newInstance(Kryo.java:1065) > at > com.esotericsoftware.kryo.serializers.FieldSerializer.create(FieldSerializer.java:228) > at > com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:217) > at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729) > at > com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:134) > at > com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:17) > at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:648) > at > com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:605) > at > com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221) > at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:648) > at > com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:605) > at > com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221) > at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:648) > at > com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:605) > at > com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221) > at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729) > at com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:42) > at com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:33) > at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729) > at > org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:138) > at > org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:133) > at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71) > at > org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32) > at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) > at > org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32) > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at > org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:125) > 15/06/24 09:53:37 ERROR actor.ActorSystemImpl: exception on LARS? timer > thread > > 2) > 15/06/24 09:53:37 ERROR actor.ActorSystemImpl: exception on LARS? timer > thread > java.lang.OutOfMemoryError: GC overhead limit exceeded > at akka.dispatch.AbstractNodeQueue.<init>(AbstractNodeQueue.java:22) > at > akka.actor.LightArrayRevolverScheduler$TaskQueue.<init>(Scheduler.scala:443) > at > akka.actor.LightArrayRevolverScheduler$$anon$8.nextTick(Scheduler.scala:409) > at akka.actor.LightArrayRevolverScheduler$$anon$8.run(Scheduler.scala:375) > at java.lang.Thread.run(Thread.java:745) > 3) > # java.lang.OutOfMemoryError: GC overhead limit exceeded > # -XX:OnOutOfMemoryError="kill %p" > # Executing /bin/sh -c "kill 20674"... > [ERROR] [06/24/2015 09:53:37.590] [Executor task launch worker-5] > [akka.tcp://sparkdri...@phxdpehdc9dn2137.stratus.phx.ebay.com:47708/] > swallowing exception during message send > (akka.remote.RemoteTransportExceptionNoStackTrace) > > > On Wed, Jun 24, 2015 at 10:31 AM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> > wrote: > >> I see this >> >> java.lang.OutOfMemoryError: GC overhead limit exceeded >> at java.util.Arrays.copyOfRange(Arrays.java:2694) >> at java.lang.String.<init>(String.java:203) >> at java.lang.StringBuilder.toString(StringBuilder.java:405) >> at java.io.UnixFileSystem.resolve(UnixFileSystem.java:108) >> at java.io.File.<init>(File.java:367) >> at >> org.apache.spark.storage.DiskBlockManager.getFile(DiskBlockManager.scala:81) >> at >> org.apache.spark.storage.DiskBlockManager.getFile(DiskBlockManager.scala:84) >> at >> org.apache.spark.shuffle.IndexShuffleBlockManager.getIndexFile(IndexShuffleBlockManager.scala:60) >> at >> org.apache.spark.shuffle.IndexShuffleBlockManager.getBlockData(IndexShuffleBlockManager.scala:107) >> at >> org.apache.spark.storage.BlockManager.getBlockData(BlockManager.scala:304) >> at >> org.apache.spark.network.netty.NettyBlockRpcServer$$anonfun$2.apply(NettyBlockRpcServer.scala:57) >> at >> org.apache.spark.network.netty.NettyBlockRpcServer$$anonfun$2.apply(NettyBlockRpcServer.scala:57) >> at >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) >> at >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) >> at >> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) >> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108) >> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) >> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108) >> at >> org.apache.spark.network.netty.NettyBlockRpcServer.receive(NettyBlockRpcServer.scala:57) >> at >> org.apache.spark.network.server.TransportRequestHandler.processRpcRequest(TransportRequestHandler.java:124) >> at >> org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:97) >> at >> org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:91) >> at >> org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:44) >> at >> io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105) >> at >> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333) >> at >> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319) >> at >> io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) >> at >> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333) >> at >> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319) >> at >> io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:163) >> at >> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333) >> >> On Wed, Jun 24, 2015 at 7:16 AM, Akhil Das <ak...@sigmoidanalytics.com> >> wrote: >> >>> Can you look a bit more in the error logs? It could be getting killed >>> because of OOM etc. One thing you can try is to set the >>> spark.shuffle.blockTransferService to nio from netty. >>> >>> Thanks >>> Best Regards >>> >>> On Wed, Jun 24, 2015 at 5:46 AM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> >>> wrote: >>> >>>> I have a Spark job that has 7 stages. The first 3 stage complete and >>>> the fourth stage beings (joins two RDDs). This stage has multiple task >>>> failures all the below exception. >>>> >>>> Multiple tasks (100s) of them get the same exception with different >>>> hosts. How can all the host suddenly stop responding when few moments ago 3 >>>> stages ran successfully. If I re-run the three stages will again run >>>> successfully. I cannot think of it being a cluster issue. >>>> >>>> >>>> Any suggestions ? >>>> >>>> >>>> Spark Version : 1.3.1 >>>> >>>> Exception: >>>> >>>> org.apache.spark.shuffle.FetchFailedException: Failed to connect to HOST >>>> at >>>> org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$.org$apache$spark$shuffle$hash$BlockStoreShuffleFetcher$$unpackBlock$1(BlockStoreShuffleFetcher.scala:67) >>>> at >>>> org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$$anonfun$3.apply(BlockStoreShuffleFetcher.scala:83) >>>> at >>>> org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$$anonfun$3.apply(BlockStoreShuffleFetcher.scala:83) >>>> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) >>>> at >>>> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32) >>>> at >>>> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) >>>> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) >>>> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) >>>> at >>>> org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:125) >>>> at org.apache.sp >>>> >>>> >>>> -- >>>> Deepak >>>> >>>> >>> >> >> >> -- >> Deepak >> >> > > > -- > Deepak > > -- Deepak
