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https://issues.apache.org/jira/browse/SPARK-7483?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14906221#comment-14906221
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simon.lou commented on SPARK-7483:
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kyro not support ListBuffer because ListBuffer don't have any "zero argument 
constructor".
refer to : 
https://github.com/EsotericSoftware/kryo#using-standard-java-serialization

"By default, if a class has a zero argument constructor then it is invoked via 
ReflectASM or reflection, otherwise an exception is thrown. "

Is that the reason?

When using kyro , use ArrayBuffer instead of ListBuffer

> [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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