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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2025/11/03 21:08:00 UTC

[jira] [Resolved] (SPARK-54134) Optimize Arrow memory usage

     [ https://issues.apache.org/jira/browse/SPARK-54134?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun resolved SPARK-54134.
-----------------------------------
    Fix Version/s: 4.1.0
       Resolution: Fixed

Issue resolved by pull request 52747
[https://github.com/apache/spark/pull/52747]

> Optimize Arrow memory usage
> ---------------------------
>
>                 Key: SPARK-54134
>                 URL: https://issues.apache.org/jira/browse/SPARK-54134
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>    Affects Versions: 4.2.0
>            Reporter: L. C. Hsieh
>            Assignee: L. C. Hsieh
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.1.0
>
>
> We have encountered OOM when loading data and processing them in PySpark through toArrow or toPandas. The same data could be loaded by PyArrow directly but fails to load through toArrow or toPandas into PySpark due to OOM issues.



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