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https://issues.apache.org/jira/browse/SPARK-7911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14562233#comment-14562233
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Apache Spark commented on SPARK-7911:
-------------------------------------

User 'mengxr' has created a pull request for this issue:
https://github.com/apache/spark/pull/6442

> A workaround for VectorUDT serialize (or deserialize) being called multiple 
> times
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-7911
>                 URL: https://issues.apache.org/jira/browse/SPARK-7911
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.4.0
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>
> There are bugs in UDT serialization because we don't have a clear separation 
> between internal SQL types and language specific types (including UDT). UDT 
> serialize and deserialize may get called twice. A workaround is to accept Row 
> in serialize and Vector in deserialize, though this doesn't completely solve 
> the issue.



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