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

Reply via email to