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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/05/15 21:24:04 UTC

[jira] [Resolved] (SPARK-5947) First class partitioning support in data sources API

     [ https://issues.apache.org/jira/browse/SPARK-5947?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-5947.
-------------------------------------
    Resolution: Fixed

> First class partitioning support in data sources API
> ----------------------------------------------------
>
>                 Key: SPARK-5947
>                 URL: https://issues.apache.org/jira/browse/SPARK-5947
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Cheng Lian
>            Priority: Blocker
>
> For file system based data sources, implementing Hive style partitioning support can be complex and error prone. To be specific, partitioning support include:
> # Partition discovery:  Given a directory organized similar to Hive partitions, discover the directory structure and partitioning information automatically, including partition column names, data types, and values.
> # Reading from partitioned tables
> # Writing to partitioned tables
> It would be good to have first class partitioning support in the data sources API. For example, add a {{FileBasedScan}} trait with callbacks and default implementations for these features.



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