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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2019/11/16 02:43:00 UTC
[jira] [Commented] (SPARK-29127) Support partitioning for
DataSource V2 tables in DataFrameWriter.save
[ https://issues.apache.org/jira/browse/SPARK-29127?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16975539#comment-16975539 ]
Dongjoon Hyun commented on SPARK-29127:
---------------------------------------
Hi, [~brkyvz] and [~hyukjin.kwon].
Sorry, but I'll switch the both JIRA issue IDs due to the following.
- https://github.com/apache/spark/commit/7720781695d47fe0375f6e1150f6981b886686bd
> Support partitioning for DataSource V2 tables in DataFrameWriter.save
> ---------------------------------------------------------------------
>
> Key: SPARK-29127
> URL: https://issues.apache.org/jira/browse/SPARK-29127
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Burak Yavuz
> Priority: Blocker
>
> Currently, any data source that that upgrades to DataSource V2 loses the partition transform information when using DataFrameWriter.save. The main reason is the lack of an API for "creating" a table with partitioning and schema information for V2 tables without a catalog.
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