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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-7911) A workaround for VectorUDT serialize (or deserialize) being called multiple times
Date Thu, 28 May 2015 03:21:17 GMT

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

Apache Spark reassigned SPARK-7911:
-----------------------------------

    Assignee: Apache Spark  (was: Xiangrui Meng)

> 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: Apache Spark
>
> 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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