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https://issues.apache.org/jira/browse/SPARK-38536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17506678#comment-17506678
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Deegue commented on SPARK-38536:
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Thanks [~hyukjin.kwon], [~songhuicheng] I don't think this pr would change how
we read a table through its ifc. Can you describe more about this issue? like
the exception or related code etc.
> Spark 3 can not read mixed format partitions
> --------------------------------------------
>
> Key: SPARK-38536
> URL: https://issues.apache.org/jira/browse/SPARK-38536
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0, 3.2.1
> Reporter: Huicheng Song
> Priority: Major
>
> Spark 3.x reads partitions with table's input format, which fails when the
> partition has a different input format than the table.
> This is a regression introduced by SPARK-26630. Before that fix, Spark will
> use Partition InputFormat when creating HadoopRDD. With that fix, Spark uses
> only Table InputFormat when creating HadoopRDD, causing failures
> Reading mixed format partitions is an import scenario, especially for format
> migration. It is also well supported in query engines like Hive and Presto.
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