Yes i had tried that. Now i see this
15/04/09 07:58:08 INFO scheduler.DAGScheduler: Job 0 failed: collect at VISummaryDataProvider.scala:38, took 275.334991 s 15/04/09 07:58:08 ERROR yarn.ApplicationMaster: User class threw exception: Job aborted due to stage failure: Total size of serialized results of 4 tasks (1067.3 MB) is bigger than spark.driver.maxResultSize (1024.0 MB) org.apache.spark.SparkException: Job aborted due to stage failure: Total size of serialized results of 4 tasks (1067.3 MB) is bigger than spark.driver.maxResultSize (1024.0 MB) at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1203) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1191) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1191) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) 15/04/09 07:58:08 INFO storage.BlockManagerInfo: Removed taskresult_4 on phxaishdc9dn0579.phx.ebay.com:42771 in memory (size: 273.5 MB, free: 6.2 GB) 15/04/09 07:58:08 INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 15, (reason: User On Thu, Apr 9, 2015 at 8:18 PM, Ted Yu <yuzhih...@gmail.com> wrote: > Please take a look at > https://code.google.com/p/kryo/source/browse/trunk/src/com/esotericsoftware/kryo/io/Output.java?r=236 > , starting line 27. > > In Spark, you can control the maxBufferSize > with "spark.kryoserializer.buffer.max.mb" > > Cheers > -- Deepak
