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https://issues.apache.org/jira/browse/SPARK-21187?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16257742#comment-16257742
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Bryan Cutler commented on SPARK-21187:
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[~icexelloss] It looks like there is a bug in older Arrow that's causing a
problem with ArrayType, but it is fixed in the latest. So decimals and arrays
depend on an upgrade. StructType and MapType still need to be done, but that
will need a bit more work and discussion.
> 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
>
> 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*
> 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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