You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:23:43 UTC
[jira] [Updated] (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 updated SPARK-10803:
---------------------------------
Labels: bulk-closed (was: )
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org