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https://issues.apache.org/jira/browse/SPARK-38536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17505944#comment-17505944
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Hyukjin Kwon commented on SPARK-38536:
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[~songhuicheng] are you suggesting to make it failed when the format versions
are different?
> 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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