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