Pressed send early.
I had tried that with these settings
buffersize=128 maxbuffersize=1024
val conf = new SparkConf()
.setAppName(detail)
.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
.set("spark.kryoserializer.buffer.mb",arguments.get("buffersize").get)
.set("spark.kryoserializer.buffer.max.mb",arguments.get("maxbuffersize").get)
.registerKryoClasses(Array(classOf[com.ebay.ep.poc.spark.reporting.process.model.dw.SpsLevelMetricSum]))
On Thu, Apr 9, 2015 at 9:23 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> wrote:
> 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
>
>
--
Deepak
