You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/07/30 14:31:00 UTC

[jira] [Assigned] (SPARK-24965) Spark SQL fails when reading a partitioned hive table with different formats per partition

     [ https://issues.apache.org/jira/browse/SPARK-24965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-24965:
------------------------------------

    Assignee:     (was: Apache Spark)

> Spark SQL fails when reading a partitioned hive table with different formats per partition
> ------------------------------------------------------------------------------------------
>
>                 Key: SPARK-24965
>                 URL: https://issues.apache.org/jira/browse/SPARK-24965
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.1
>            Reporter: Kris Geusebroek
>            Priority: Major
>              Labels: pull-request-available
>
> When a hive parquet partitioned table contains a partition with a different format (avro for example) the select * fails with a read exception (avro file is not a parquet file)
> Selecting in hive acts as expected.
> To support this a new sql syntax needed to be supported also:
>  * ALTER TABLE <tbl> <partiitonspec?> SET FILEFORMAT <format>
> This is included in the same PR since the unittest needs this to setup the testdata.



--
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