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Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2024/09/25 09:08:00 UTC

[jira] [Assigned] (SPARK-49547) Support returning RecordBatches from applyInArrow

     [ https://issues.apache.org/jira/browse/SPARK-49547?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot reassigned SPARK-49547:
--------------------------------------

    Assignee: Apache Spark

> Support returning RecordBatches from applyInArrow
> -------------------------------------------------
>
>                 Key: SPARK-49547
>                 URL: https://issues.apache.org/jira/browse/SPARK-49547
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>    Affects Versions: 4.0.0
>            Reporter: Adam Binford
>            Assignee: Apache Spark
>            Priority: Major
>              Labels: pull-request-available
>
> Currently the new `applyInArrow` method in PySpark uses a function that takes a `pyarrow.Table` and returns a `pyarrow.Table`. This limits the ability for this function to scale, as the entire result set must fit in memory at once in a `Table`. However, we have use cases that can result in a large amount of data that needs to be returned from the function on certain edge cases. The result is immediately turned into a series of batches from the Table, so there's no reason to not just allow an iterator of batches to be returned instead.



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