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 03:59:21 UTC

[jira] [Updated] (SPARK-19615) Provide Dataset union convenience for divergent schema

     [ https://issues.apache.org/jira/browse/SPARK-19615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-19615:
---------------------------------
    Labels: bulk-closed  (was: )

> Provide Dataset union convenience for divergent schema
> ------------------------------------------------------
>
>                 Key: SPARK-19615
>                 URL: https://issues.apache.org/jira/browse/SPARK-19615
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Nick Dimiduk
>            Priority: Major
>              Labels: bulk-closed
>
> Creating a union DataFrame over two sources that have different schema definitions is surprisingly complex. Provide a version of the union method that will create a infer a target schema as the result of merging the sources. Automatically add extend either side with {{null}} columns for any missing columns that are nullable.



--
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