[
https://issues.apache.org/jira/browse/SPARK-44239?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17748395#comment-17748395
]
Snoot.io commented on SPARK-44239:
----------------------------------
User 'wankunde' has created a pull request for this issue:
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
> Priority: Major
> 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!
>
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
