[jira] [Commented] (SPARK-7483) [MLLib] Using Kryo with FPGrowth fails with an exception

["S (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-7483?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14611347#comment-14611347 ] 

S commented on SPARK-7483:
--------------------------

I encountered the same bug.
Adding 
sparkConf.registerKryoClasses(Array(classOf[ArrayBuffer[String]], classOf[ListBuffer[String]]))
seems to fix the problem.

> [MLLib] Using Kryo with FPGrowth fails with an exception
> --------------------------------------------------------
>
>                 Key: SPARK-7483
>                 URL: https://issues.apache.org/jira/browse/SPARK-7483
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 1.3.1
>            Reporter: Tomasz Bartczak
>            Priority: Minor
>
> When using FPGrowth algorithm with KryoSerializer - Spark fails with
> {code}
> Job aborted due to stage failure: Task 0 in stage 9.0 failed 1 times, most recent failure: Lost task 0.0 in stage 9.0 (TID 16, localhost): com.esotericsoftware.kryo.KryoException: java.lang.IllegalArgumentException: Can not set final scala.collection.mutable.ListBuffer field org.apache.spark.mllib.fpm.FPTree$Summary.nodes to scala.collection.mutable.ArrayBuffer
> Serialization trace:
> nodes (org.apache.spark.mllib.fpm.FPTree$Summary)
> org$apache$spark$mllib$fpm$FPTree$$summaries (org.apache.spark.mllib.fpm.FPTree)
> {code}
> This can be easily reproduced in spark codebase by setting 
> {code}
> conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
> {code} and running FPGrowthSuite.



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