[jira] [Commented] (SPARK-21187) Complete support for remaining Spark data types in Arrow Converters

["Michelle m Hovington (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-21187?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17448101#comment-17448101 ] 

Michelle m Hovington commented on SPARK-21187:
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> 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
>             Fix For: 3.1.0
>
>
> 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-, -Map-
>  * -*Decimal*-
>  * -*Binary*-
>  * -*Categorical*- when converting from Pandas
> 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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