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From "Bryan Cutler (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-21187) Complete support for remaining Spark data types in Arrow Converters
Date Mon, 14 May 2018 19:10:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-21187?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16474664#comment-16474664
] 

Bryan Cutler commented on SPARK-21187:
--------------------------------------

Hi [~ewohlstadter], thanks for the interest!  The Map type needs some work to be done in
Arrow to be fully supported, and then it can implemented for Spark.  We are making this a
requirement for Arrow 1.0, if not before then.  As for the interval type, I don't believe
it is an external type for Spark SQL so it wasn't planned.

> Complete support for remaining Spark data types in Arrow Converters
> -------------------------------------------------------------------
>
>                 Key: SPARK-21187
>                 URL: https://issues.apache.org/jira/browse/SPARK-21187
>             Project: Spark
>          Issue Type: Umbrella
>          Components: PySpark, SQL
>    Affects Versions: 2.3.0
>            Reporter: Bryan Cutler
>            Assignee: Bryan Cutler
>            Priority: Major
>
> This is to track adding the remaining type support in Arrow Converters. Currently, only
primitive data types are supported. '
> Remaining types:
>  * -*Date*-
>  * -*Timestamp*-
>  * *Complex*: Struct, -Array-, Arrays of Date/Timestamps, Map
>  * -*Decimal*-
>  * *Binary* - in pyspark
> Some things to do before closing this out:
>  * -Look to upgrading to Arrow 0.7 for better Decimal support (can now write values as
BigDecimal)-
>  * -Need to add some user docs-
>  * -Make sure Python tests are thorough-
>  * Check into complex type support mentioned in comments by [~leif], should we support
mulit-indexing?



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