[jira] [Resolved] (SPARK-4413) Parquet support through datasource API

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-4413?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-4413.
-------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.2.0

Issue resolved by pull request 3269
[https://github.com/apache/spark/pull/3269]

> Parquet support through datasource API
> --------------------------------------
>
>                 Key: SPARK-4413
>                 URL: https://issues.apache.org/jira/browse/SPARK-4413
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Michael Armbrust
>            Assignee: Michael Armbrust
>            Priority: Critical
>             Fix For: 1.2.0
>
>
> Right now there are several issues with out parquet support.  Specifically, the only way to access parquet files though pure SQL is by including Hive, which has the following issues
>  - fairly verbose syntax
>  - requires you to explicitly add partitions
>  - does not support decimal types.
>  - querying tables with many partitions results in metadata operations dominating the query time (even worse when reading from S3).
> It would be great to have better native support here though the new datasources API.  Ideally once that is in place we can deprecate the existing ParquetRelation.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org