Did not work. Same problem.
On Thu, Apr 30, 2015 at 1:28 PM, Akhil Das <ak...@sigmoidanalytics.com> wrote: > You could try increasing your heap space explicitly. like export > _JAVA_OPTIONS="-Xmx10g", its not the correct approach but try. > > Thanks > Best Regards > > On Tue, Apr 28, 2015 at 10:35 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> > wrote: > >> I have a SparkApp that runs completes in 45 mins for 5 files (5*750MB >> size) and it takes 16 executors to do so. >> >> I wanted to run it against 10 files of each input type (10*3 files as >> there are three inputs that are transformed). [Input1 = 10*750 MB, >> Input2=10*2.5GB, Input3 = 10*1.5G], Hence i used 32 executors. >> >> I see multiple >> 5/04/28 09:23:31 WARN executor.Executor: Issue communicating with driver >> in heartbeater >> org.apache.spark.SparkException: Error sending message [message = >> Heartbeat(22,[Lscala.Tuple2;@2e4c404a,BlockManagerId(22, >> phxaishdc9dn1048.stratus.phx.ebay.com, 39505))] >> at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:209) >> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:427) >> Caused by: java.util.concurrent.TimeoutException: Futures timed out after >> [30 seconds] >> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) >> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) >> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) >> at >> scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) >> at scala.concurrent.Await$.result(package.scala:107) >> at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:195) >> ... 1 more >> >> >> When i searched deeper, i found OOM error. >> 15/04/28 09:10:15 INFO storage.BlockManagerMasterActor: Removing block >> manager BlockManagerId(17, phxdpehdc9dn2643.stratus.phx.ebay.com, 36819) >> 15/04/28 09:11:26 WARN storage.BlockManagerMasterActor: Removing >> BlockManager BlockManagerId(9, phxaishdc9dn1783.stratus.phx.ebay.com, >> 48304) with no recent heart beats: 121200ms exceeds 120000ms >> 15/04/28 09:11:26 INFO storage.BlockManagerMasterActor: Removing block >> manager BlockManagerId(9, phxaishdc9dn1783.stratus.phx.ebay.com, 48304) >> 15/04/28 09:11:26 ERROR util.Utils: Uncaught exception in thread >> task-result-getter-3 >> java.lang.OutOfMemoryError: Java heap space >> at java.util.Arrays.copyOf(Arrays.java:2245) >> at java.util.Arrays.copyOf(Arrays.java:2219) >> at java.util.ArrayList.grow(ArrayList.java:242) >> at java.util.ArrayList.ensureExplicitCapacity(ArrayList.java:216) >> at java.util.ArrayList.ensureCapacityInternal(ArrayList.java:208) >> at java.util.ArrayList.add(ArrayList.java:440) >> at >> com.esotericsoftware.kryo.util.MapReferenceResolver.nextReadId(MapReferenceResolver.java:33) >> at com.esotericsoftware.kryo.Kryo.readReferenceOrNull(Kryo.java:766) >> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:727) >> at >> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:338) >> at >> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:293) >> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729) >> at >> org.apache.spark.serializer.KryoSerializerInstance.deserialize(KryoSerializer.scala:173) >> at org.apache.spark.scheduler.DirectTaskResult.value(TaskResult.scala:79) >> at >> org.apache.spark.scheduler.TaskSetManager.handleSuccessfulTask(TaskSetManager.scala:621) >> at >> org.apache.spark.scheduler.TaskSchedulerImpl.handleSuccessfulTask(TaskSchedulerImpl.scala:379) >> at >> org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:82) >> at >> org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:51) >> at >> org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:51) >> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1618) >> at >> org.apache.spark.scheduler.TaskResultGetter$$anon$2.run(TaskResultGetter.scala:50) >> at >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> at >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> at java.lang.Thread.run(Thread.java:745) >> Exception in thread "task-result-getter-3" java.lang.OutOfMemoryError: >> Java heap space >> at java.util.Arrays.copyOf(Arrays.java:2245) >> at java.util.Arrays.copyOf(Arrays.java:2219) >> at java.util.ArrayList.grow(ArrayList.java:242) >> at java.util.ArrayList.ensureExplicitCapacity(ArrayList.java:216) >> at java.util.ArrayList.ensureCapacityInternal(ArrayList.java:208) >> at java.util.ArrayList.add(ArrayList.java:440) >> at >> com.esotericsoftware.kryo.util.MapReferenceResolver.nextReadId(MapReferenceResolver.java:33) >> at com.esotericsoftware.kryo.Kryo.readReferenceOrNull(Kryo.java:766) >> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:727) >> at >> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:338) >> at >> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:293) >> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729) >> at >> org.apache.spark.serializer.KryoSerializerInstance.deserialize(KryoSerializer.scala:173) >> at org.apache.spark.scheduler.DirectTaskResult.value(TaskResult.scala:79) >> at >> org.apache.spark.scheduler.TaskSetManager.handleSuccessfulTask(TaskSetManager.scala:621) >> at >> org.apache.spark.scheduler.TaskSchedulerImpl.handleSuccessfulTask(TaskSchedulerImpl.scala:379) >> at >> org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:82) >> at >> org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:51) >> at >> org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:51) >> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1618) >> at >> org.apache.spark.scheduler.TaskResultGetter$$anon$2.run(TaskResultGetter.scala:50) >> at >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> at >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> at java.lang.Thread.run(Thread.java:745) >> >> LogType: stdout >> LogLength: 96 >> Log Contents: >> >> hdfs://hostName:8020/sys/edw/dw_lstg_item/snapshot/2015/04/28/00/part-r-0000* >> >> >> Spark Command: >> >> ./bin/spark-submit -v --master yarn-cluster --driver-class-path >> /apache/hadoop/share/hadoop/common/hadoop-common-2.4.1-EBAY-2.jar:/apache/hadoop/lib/hadoop-lzo-0.6.0.jar:/apache/hadoop-2.4.1-2.1.3.0-2-EBAY/share/hadoop/yarn/lib/guava-11.0.2.jar:/apache/hadoop-2.4.1-2.1.3.0-2-EBAY/share/hadoop/hdfs/hadoop-hdfs-2.4.1-EBAY-2.jar >> --jars >> /apache/hadoop-2.4.1-2.1.3.0-2-EBAY/share/hadoop/hdfs/hadoop-hdfs-2.4.1-EBAY-2.jar,/home/dvasthimal/spark1.3/1.3.1.lib/spark_reporting_dep_only-1.0-SNAPSHOT-jar-with-dependencies.jar >> --num-executors 32 --driver-memory 12g --driver-java-options >> "-XX:MaxPermSize=8G" --executor-memory 12g --executor-cores 4 --queue >> hdmi-express --class com.ebay.ep.poc.spark.reporting.SparkApp >> /home/dvasthimal/spark1.3/1.3.1.lib/spark_reporting-1.0-SNAPSHOT.jar >> startDate=2015-04-6 endDate=2015-04-7 >> input=/user/dvasthimal/epdatasets_small/exptsession subcommand=viewItem >> output=/user/dvasthimal/epdatasets/viewItem buffersize=128 >> maxbuffersize=1068 maxResultSize=200G askTimeout=1200 >> >> >> >> There is 12G limit on memory that i can use as this Spark is running over >> YARN. >> >> Spark Version: 1.3.1 >> Should i increase the number of executors form 32? >> -- >> Deepak >> >> > -- Deepak
