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https://issues.apache.org/jira/browse/SPARK-24691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-24691.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 21667
[https://github.com/apache/spark/pull/21667]
> Add new API `supportDataType` in FileFormat
> -------------------------------------------
>
> Key: SPARK-24691
> URL: https://issues.apache.org/jira/browse/SPARK-24691
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
> Fix For: 2.4.0
>
>
> In [https://github.com/apache/spark/pull/21389,] data source schema is
> validated. However,
> # Putting all the process logic together in `DataSourceUtils` is tricky and
> hard to maintain. On second thought after review, I find that the
> `OrcFileFormat` in hive package is not matched, so that its validation wrong.
> # `DataSourceUtils.verifyWriteSchema` and `DataSourceUtils.verifyReadSchema`
> is not supposed to be called in every file format. We can move them to some
> upper entry.
> So, I propose we can add a new API `supportDataType` in FileFormat. Each file
> format can override the method to specify its supported/non-supported data
> types.
>
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