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https://issues.apache.org/jira/browse/HUDI-1376?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenning Ding updated HUDI-1376:
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Summary: Drop Hudi metadata columns before Spark datasource writing (was:
Drop metadata columns before Spark datasource processing )
> Drop Hudi metadata columns before Spark datasource writing
> -----------------------------------------------------------
>
> Key: HUDI-1376
> URL: https://issues.apache.org/jira/browse/HUDI-1376
> Project: Apache Hudi
> Issue Type: Bug
> Reporter: Wenning Ding
> Assignee: Wenning Ding
> Priority: Major
> Labels: pull-request-available
>
> When updating a Hudi table through Spark datasource, it will use the schema
> of the input dataframe as the schema stored in the commit files. Thus, when
> upserted with rows containing metadata columns, the upsert commit file will
> store the metadata columns schema in the commit file which is unnecessary for
> common cases. And also this will bring an issue for bootstrap table.
> Since metadata columns is not used during the Spark datasource processing, we
> can drop those columns in the beginning of Spark datasource.
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