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https://issues.apache.org/jira/browse/ARROW-14293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17427853#comment-17427853
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Weston Pace commented on ARROW-14293:
-------------------------------------

Wrapping the output of an ExecPlan in a python iterator is already done in the 
scanner.  The tricky part is constructing an ExecPlan from the user's wishes.

I'm a little hesitant to turn the datasets API into a full relational frontend. 
 At some point, as queries get more complicated, would it make more sense to 
expose the API via SQL -> IR -> ExecPlan, bypassing datasets?

Also, wrong David :)  [~lidavidm]

> [Python] Basic Join functionality in PyArrow
> --------------------------------------------
>
>                 Key: ARROW-14293
>                 URL: https://issues.apache.org/jira/browse/ARROW-14293
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>            Reporter: Alessandro Molina
>            Priority: Major
>             Fix For: 7.0.0
>
>
> We want to expose a {{Table.join}} and {{Dataset.join}} functionalities in 
> PyArrow which can leverage our join feature from the ExecPlan to expose.
> The {{Table.join}} can easily return a new {{Table}}, questions about what 
> {{Dataset.join}} might return are more complex as it probably doesn't make 
> much sense to return a new {{Dataset}} given that the result won't map to any 
> files on disk



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