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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:34:49 UTC

[jira] [Resolved] (SPARK-12787) Dataset to support custom encoder

     [ https://issues.apache.org/jira/browse/SPARK-12787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-12787.
----------------------------------
    Resolution: Incomplete

> Dataset to support custom encoder
> ---------------------------------
>
>                 Key: SPARK-12787
>                 URL: https://issues.apache.org/jira/browse/SPARK-12787
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 1.6.0
>            Reporter: Muthu Jayakumar
>            Priority: Major
>              Labels: bulk-closed
>
> The current Dataset API allows to be loaded using a case-class that requires the the attribute name and types to be match up precisely.
> It would be nicer, if a Partial function can be provided as a parameter to transform the Dataframe like schema into Dataset. 
> Something like...
> test_dataframe.as[TestCaseClass](partial_function)



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