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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:37:46 UTC

[jira] [Resolved] (SPARK-10803) Allow users to write and query Parquet user-defined key-value metadata directly

     [ https://issues.apache.org/jira/browse/SPARK-10803?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-10803.
----------------------------------
    Resolution: Incomplete

> Allow users to write and query Parquet user-defined key-value metadata directly
> -------------------------------------------------------------------------------
>
>                 Key: SPARK-10803
>                 URL: https://issues.apache.org/jira/browse/SPARK-10803
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.0.2, 1.1.1, 1.2.2, 1.3.1, 1.4.1, 1.5.0
>            Reporter: Cheng Lian
>            Priority: Major
>              Labels: bulk-closed
>
> Currently Spark SQL only allows users to set and get per-column metadata of a DataFrame. This metadata can be then persisted to Parquet as part of Catalyst schema information contained in the user-defined key-value metadata. It would be nice if we can allow users to write and query Parquet user-defined key-value metadata directly. Or maybe a more general way to allow DataFrame level (rather than column level) metadata.



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