Look in the tuning section <https://spark.apache.org/docs/latest/tuning.html>, also you need to figure out whats taking time and where's your bottleneck etc. If everything is tuned properly, then you will need to throw more cores :)
Thanks Best Regards On Thu, Jun 25, 2015 at 12:19 AM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> wrote: > Its taking an hour and on Hadoop it takes 1h 30m, is there a way to make > it run faster ? > > On Wed, Jun 24, 2015 at 11:39 AM, Akhil Das <ak...@sigmoidanalytics.com> > wrote: > >> 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 >>> >>> > > > -- > Deepak > >
