Hi, I am getting following Kryo deserialization error when trying to buklload Cached RDD into Hbase. It works if I don't cache the RDD. I cache it with MEMORY_ONLY_SER.
here's the code snippet: hbaseRdd.values.foreachPartition{ itr => val hConf = HBaseConfiguration.create() hConf.setInt("hbase.client.write.buffer", 16097152) val table = new HTable(hConf, tableName) itr.grouped(100).foreach(table.put(_)) table.close() } hbaseRdd is of type RDD[(ImmutableBytesWritable, Put)] Exception I am getting. I read on Kryo JIRA that this may be issue with incorrect use of serialization library. So could this be issue with twitter-chill library or spark core it self ? Job aborted due to stage failure: Task 16 in stage 9.0 failed 10 times, most recent failure: Lost task 16.9 in stage 9.0 (TID 28614, hdn10.mycorptcorporation.local): com.esotericsoftware.kryo.KryoException: java.lang.IndexOutOfBoundsException: Index: 100, Size: 6 Serialization trace: familyMap (org.apache.hadoop.hbase.client.Put) at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:626) at com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221) at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729) at com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:42) at com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:33) at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729) at org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:192) at org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:181) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:966) at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:972) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at com.mycorpt.myprojjobs.spark.jobs.hbase.HbaseUtils$$anonfun$writeRddToHBase2$1.apply(HbaseUtils.scala:80) at com.mycorpt.myprojjobs.spark.jobs.hbase.HbaseUtils$$anonfun$writeRddToHBase2$1.apply(HbaseUtils.scala:75) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:902) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:902) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:88) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:744) Caused by: java.lang.IndexOutOfBoundsException: Index: 100, Size: 6 at java.util.ArrayList.rangeCheck(ArrayList.java:635) at java.util.ArrayList.get(ArrayList.java:411) at com.esotericsoftware.kryo.util.MapReferenceResolver.getReadObject(MapReferenceResolver.java:42) at com.esotericsoftware.kryo.Kryo.readReferenceOrNull(Kryo.java:773) at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:727) at com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:134) at com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:17) at com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:648) at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:605) ... 26 more -- [image: What's New with Xactly] <http://www.xactlycorp.com/email-click/> <https://www.nyse.com/quote/XNYS:XTLY> [image: LinkedIn] <https://www.linkedin.com/company/xactly-corporation> [image: Twitter] <https://twitter.com/Xactly> [image: Facebook] <https://www.facebook.com/XactlyCorp> [image: YouTube] <http://www.youtube.com/xactlycorporation>