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https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-44239.
---------------------------------
Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 41782
[https://github.com/apache/spark/pull/41782]
> Free memory allocated by large vectors when vectors are reset
> -------------------------------------------------------------
>
> Key: SPARK-44239
> URL: https://issues.apache.org/jira/browse/SPARK-44239
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.5.0
> Reporter: Wan Kun
> Assignee: Wan Kun
> Priority: Major
> Fix For: 4.0.0
>
> Attachments: image-2023-06-29-12-58-12-256.png,
> image-2023-06-29-13-03-15-470.png
>
>
> When spark reads a data file into a WritableColumnVector, the memory
> allocated by the WritableColumnVectors is not freed until the
> VectorizedColumnReader completes.
> It will save memory allocation time by reusing the allocated array objects.
> But it also takes up too many unused memory after the current large vector
> batch has been read.
> Add a memory reserve policy for this scenario which will reuse the allocated
> array object for small column vectors and free the memory for huge column
> vectors.
> !image-2023-06-29-12-58-12-256.png!!image-2023-06-29-13-03-15-470.png!
>
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