Cool. :) On 24 Jun 2015 23:44, "ÐΞ€ρ@Ҝ (๏̯͡๏)" <deepuj...@gmail.com> wrote:
> Its running now. > > On Wed, Jun 24, 2015 at 10:45 AM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> > wrote: > >> 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 >> >> > > > -- > Deepak > >
