[jira] [Assigned] (SPARK-15323) read with format=text is broken for partitioned tables in Spark 2.0

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-15323?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-15323:
------------------------------------

    Assignee: Apache Spark

> read with format=text is broken for partitioned tables in Spark 2.0
> -------------------------------------------------------------------
>
>                 Key: SPARK-15323
>                 URL: https://issues.apache.org/jira/browse/SPARK-15323
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Jurriaan Pruis
>            Assignee: Apache Spark
>
> {code}
> sqlContext.read.format("text").load("...")
> {code}
> Is broken for partitioned datasets in Spark 2.0
> In the source code of the text Datasource it explicitly states that:
> {quote}
>     Text data source doesn't support partitioning.
> {quote}
> https://github.com/apache/spark/commit/bc3760d405cc8c3ffcd957b188afa8b7e3b1f824#diff-de9933c0e2fa74747b33ab62ebc6af8eR94
> This is problematic for me since I've code relying on this functionality which works without any problem on Spark 1.6.1



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