[jira] [Resolved] (SPARK-7911) A workaround for VectorUDT serialize (or deserialize) being called multiple times

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

     [ https://issues.apache.org/jira/browse/SPARK-7911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng resolved SPARK-7911.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

Issue resolved by pull request 6442
[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
>             Fix For: 1.4.0
>
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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