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Posted to issues@spark.apache.org by "Sean R. Owen (Jira)" <ji...@apache.org> on 2022/04/16 20:26:00 UTC

[jira] [Resolved] (SPARK-38536) Spark 3 can not read mixed format partitions

     [ https://issues.apache.org/jira/browse/SPARK-38536?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean R. Owen resolved SPARK-38536.
----------------------------------
    Resolution: Duplicate

> 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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