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Posted to issues@spark.apache.org by "Michelle m Hovington (Jira)" <ji...@apache.org> on 2021/10/14 13:07:00 UTC
[jira] [Updated] (SPARK-21187) Complete support for remaining Spark
data types in Arrow Converters
[ https://issues.apache.org/jira/browse/SPARK-21187?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michelle m Hovington updated SPARK-21187:
-----------------------------------------
Attachment: 0--1172099527-254246775-1412485878
> 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
>
> Attachments: 0--1172099527-254246775-1412485878
>
>
> 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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