Yes, I am using My Custom Data Structures (for Key and Value) and have registered different serializers with Kryo by

<Code>
kryo.register(classOf[MyClass], MyCustomSerializerInstance);
</Code>

Thanks and Regards,
Archit Thakur.


On Thu, Jan 2, 2014 at 4:26 AM, Christopher Nguyen <ctn@adatao.com> wrote:
Archit, this occurs in the ResultTask phase, triggered by the call to sortByKey. Prior to this, your RDD would have been serialized for, e.g., shuffling around. 

So it looks like Kryo wasn't able to deserialize some part of the RDD for some reason, possible due to formatting incompatibility. Did you say you wrote your own serializers?

--
Christopher T. Nguyen
Co-founder & CEO, Adatao


On Wed, Jan 1, 2014 at 8:22 AM, Archit Thakur <archit279thakur@gmail.com> wrote:
I have recently moved to Kryo for serialization to get better performance. Have written some of the serializers for my custom DS.
What could below exception be about: (I dont see any of my code line in the stack trace)

java.lang.ArrayIndexOutOfBoundsException: -2
        at java.util.ArrayList.get(Unknown Source)
        at com.esotericsoftware.kryo.util.MapReferenceResolver.getReadObject(MapReferenceResolver.java:42)
        at com.esotericsoftware.kryo.Kryo.readReferenceOrNull(Kryo.java:773)
        at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:727)
        at org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:106)
        at org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:101)
        at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
        at scala.collection.Iterator$$anon$21.hasNext(Iterator.scala:440)
        at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:26)
        at scala.collection.Iterator$class.foreach(Iterator.scala:772)
        at org.apache.spark.util.CompletionIterator.foreach(CompletionIterator.scala:23)
        at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
        at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:102)
        at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:250)
        at org.apache.spark.util.CompletionIterator.toBuffer(CompletionIterator.scala:23)
        at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:237)
        at org.apache.spark.util.CompletionIterator.toArray(CompletionIterator.scala:23)
        at org.apache.spark.rdd.OrderedRDDFunctions$$anonfun$sortByKey$1.apply(OrderedRDDFunctions.scala:44)
        at org.apache.spark.rdd.OrderedRDDFunctions$$anonfun$sortByKey$1.apply(OrderedRDDFunctions.scala:43)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:36)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:237)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:226)
        at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:29)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:237)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:226)
        at org.apache.spark.scheduler.ResultTask.run(ResultTask.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:158)
        at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(Unknown Source)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
        at java.lang.Thread.run(Unknown Source)

Any ideas? or Suggestions would help.

Thanks,
Archit.

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