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> wrote:
> Can you register Put with Kryo ?
>
> Thanks
>
> On May 29, 2016, at 4:58 PM, Nirav Patel <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> 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>
>> 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
>>>
>>>
>>>
>>> [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>
>>
>>
>>
>
>
>
> [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>
>
>
--
[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>
