[jira] [Updated] (HUDI-1376) Drop Hudi metadata columns before Spark datasource writing

["Wenning Ding (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HUDI-1376?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenning Ding updated HUDI-1376:
-------------------------------
    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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