[ 
https://issues.apache.org/jira/browse/SPARK-24302?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16482330#comment-16482330
 ] 

yijukang commented on SPARK-24302:
----------------------------------

[~hyukjin.kwon]  OK thanks

> when using spark persist(),"KryoException:IndexOutOfBoundsException" happens
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-24302
>                 URL: https://issues.apache.org/jira/browse/SPARK-24302
>             Project: Spark
>          Issue Type: Bug
>          Components: Input/Output
>    Affects Versions: 1.6.0
>            Reporter: yijukang
>            Priority: Major
>              Labels: apache-spark
>
> my operation is using spark to insert RDD data into Hbase like this:
> ------------------------------
> localData.persist()
>  localData.saveAsNewAPIHadoopDataset(jobConf.getConfiguration)
> --------------------------------------
> this way throw Exception:
>    com.esotericsoftware.kryo.KryoException: 
> java.lang.IndexOutOfBoundsException:index:99, Size:6
> Serialization trace:
>     familyMap (org.apache.hadoop.hbase.client.Put)
>   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)
>  
> when i deal with this:
> -----------------------------
>  localData.saveAsNewAPIHadoopDataset(jobConf.getConfiguration)
> --------------------------------------
> it works well,what the persist() method did?
>  
>  
>  



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to