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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/03/25 05:33:00 UTC
[jira] [Commented] (SPARK-38651) Writing out empty or nested empty schemas in Datasource should be configurable
[ https://issues.apache.org/jira/browse/SPARK-38651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17512202#comment-17512202 ]
Apache Spark commented on SPARK-38651:
--------------------------------------
User 'thejdeep' has created a pull request for this issue:
https://github.com/apache/spark/pull/35969
> Writing out empty or nested empty schemas in Datasource should be configurable
> ------------------------------------------------------------------------------
>
> Key: SPARK-38651
> URL: https://issues.apache.org/jira/browse/SPARK-38651
> Project: Spark
> Issue Type: Task
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Thejdeep Gudivada
> Priority: Major
>
> In SPARK-23372, we introduced a backwards incompatible change that would remove support for writing out empty or nested empty schemas in file based datasources. This introduces backward incompatibility for users who have been using a schema that met the above condition since the datasource supported it. Except for Parquet and text, other file based sources support this behavior.
>
> We should either :
> * Make it configurable to enable/disable writing out empty schemas
> * Enable the validation check only for sources that do not support it - Parquet / Text
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