org.apache.hadoop.hbase.client.{Mutation, Put} org.apache.hadoop.hbase.io.ImmutableBytesWritable
if u used mutation, register the above class too > On May 30, 2016, at 08:11, Nirav Patel <npa...@xactlycorp.com> wrote: > > Sure let me can try that. But from looks of it it seems kryo > kryo.util.MapReferenceResolver.getReadObject trying to access incorrect index > (100) > > On Sun, May 29, 2016 at 5:06 PM, Ted Yu <yuzhih...@gmail.com > <mailto:yuzhih...@gmail.com>> wrote: > Can you register Put with Kryo ? > > Thanks > > On May 29, 2016, at 4:58 PM, Nirav Patel <npa...@xactlycorp.com > <mailto:npa...@xactlycorp.com>> wrote: > >> I pasted code snipped for that method. >> >> here's full def: >> >> def writeRddToHBase2(hbaseRdd: RDD[(ImmutableBytesWritable, Put)], >> tableName: String) { >> >> >> >> hbaseRdd.values.foreachPartition{ itr => >> >> val hConf = HBaseConfiguration.create() >> >> hConf.setInt("hbase.client.write.buffer", 16097152) >> >> val table = new HTable(hConf, tableName) >> >> //table.setWriteBufferSize(8388608) >> >> itr.grouped(100).foreach(table.put(_)) // << Exception happens at >> this point >> >> table.close() >> >> } >> >> } >> >> >> >> I am using hbase 0.98.12 mapr distribution. >> >> >> >> Thanks >> >> Nirav >> >> >> On Sun, May 29, 2016 at 4:46 PM, Ted Yu <yuzhih...@gmail.com >> <mailto:yuzhih...@gmail.com>> wrote: >> bq. at >> com.mycorpt.myprojjobs.spark.jobs.hbase.HbaseUtils$$anonfun$writeRddToHBase2$1.apply(HbaseUtils.scala:80) >> >> Can you reveal related code from HbaseUtils.scala ? >> >> Which hbase version are you using ? >> >> Thanks >> >> On Sun, May 29, 2016 at 4:26 PM, Nirav Patel <npa...@xactlycorp.com >> <mailto:npa...@xactlycorp.com>> wrote: >> 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 >> >> >> >> <http://www.xactlycorp.com/email-click/> >> >> <https://www.nyse.com/quote/XNYS:XTLY> >> <https://www.linkedin.com/company/xactly-corporation> >> <https://twitter.com/Xactly> <https://www.facebook.com/XactlyCorp> >> <http://www.youtube.com/xactlycorporation> >> >> >> >> >> <http://www.xactlycorp.com/email-click/> >> >> <https://www.nyse.com/quote/XNYS:XTLY> >> <https://www.linkedin.com/company/xactly-corporation> >> <https://twitter.com/Xactly> <https://www.facebook.com/XactlyCorp> >> <http://www.youtube.com/xactlycorporation> > > > > <http://www.xactlycorp.com/email-click/> > > <https://www.nyse.com/quote/XNYS:XTLY> > <https://www.linkedin.com/company/xactly-corporation> > <https://twitter.com/Xactly> <https://www.facebook.com/XactlyCorp> > <http://www.youtube.com/xactlycorporation>