[jira] [Resolved] (SPARK-32283) Multiple Kryo registrators can't be used anymore

["Wenchen Fan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-32283?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-32283.
---------------------------------
    Fix Version/s: 3.1.0
                   3.0.1
       Resolution: Fixed

Issue resolved by pull request 29123
[https://github.com/apache/spark/pull/29123]

> Multiple Kryo registrators can't be used anymore
> ------------------------------------------------
>
>                 Key: SPARK-32283
>                 URL: https://issues.apache.org/jira/browse/SPARK-32283
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 3.0.0
>            Reporter: Lorenz Bühmann
>            Assignee: Lantao Jin
>            Priority: Minor
>             Fix For: 3.0.1, 3.1.0
>
>
> This is a regression in Spark 3.0 as it is working with Spark 2.
> According to the docs, it should be possible to register multiple Kryo registrators via Spark config option spark.kryo.registrator . 
> In Spark 3.0 the code to parse Kryo config options has been refactored into Scala class [Kryo|https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/internal/config/Kryo.scala]. The code to parse the registrators is in [Line 29-32|https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/internal/config/Kryo.scala#L29-L32]
> {code:scala}
> val KRYO_USER_REGISTRATORS = ConfigBuilder("spark.kryo.registrator")
>     .version("0.5.0")
>     .stringConf
>     .createOptional
> {code}
> but it should be
> {code:scala}
> val KRYO_USER_REGISTRATORS = ConfigBuilder("spark.kryo.registrator")
>     .version("0.5.0")
>     .stringConf
>     .toSequence
>     .createOptional
> {code}
>  to split the comma seprated list.
> In previous Spark 2.x it was done differently directly in [KryoSerializer Line 77-79|https://github.com/apache/spark/blob/branch-2.4/core/src/main/scala/org/apache/spark/serializer/KryoSerializer.scala#L77-L79]
> {code:scala}
> private val userRegistrators = conf.get("spark.kryo.registrator", "")
>     .split(',').map(_.trim)
>     .filter(!_.isEmpty)
> {code}
> Hope this helps.



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