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https://issues.apache.org/jira/browse/SPARK-21187?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16060510#comment-16060510
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Bryan Cutler commented on SPARK-21187:
--------------------------------------

Pandas only supports flat columns, I'm not sure if there is an equivalent to 
array or map.  I was thinking more of what arrow supports for this, but since 
toPandas() is the only consumer of arrow data, then I will focus on what we 
need to be the same as usage without arrow.

> 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*



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