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Posted to issues@spark.apache.org by "Xiao Li (Jira)" <ji...@apache.org> on 2021/08/09 02:00:00 UTC
[jira] [Updated] (SPARK-32953) Lower memory usage in toPandas with
Arrow self_destruct
[ https://issues.apache.org/jira/browse/SPARK-32953?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li updated SPARK-32953:
----------------------------
Description:
As described on the mailing list:
[http://apache-spark-developers-list.1001551.n3.nabble.com/DISCUSS-Reducing-memory-usage-of-toPandas-with-Arrow-quot-self-destruct-quot-option-td30149.html] [https://lists.apache.org/thread.html/r581d7c82ada1c2ac3f0584615785cc60cf5ac231e1f29737d3a6569f%40%3Cdev.spark.apache.org%3E]
toPandas() can as much as double memory usage as both Arrow and Pandas retain a copy of a dataframe in memory during the conversion. Arrow >= 0.16 offers a self_destruct mode that avoids this with some caveats.
was:
As described on the mailing list:
[http://apache-spark-developers-list.1001551.n3.nabble.com/DISCUSS-Reducing-memory-usage-of-toPandas-with-Arrow-quot-self-destruct-quot-option-td30149.html]
toPandas() can as much as double memory usage as both Arrow and Pandas retain a copy of a dataframe in memory during the conversion. Arrow >= 0.16 offers a self_destruct mode that avoids this with some caveats.
> Lower memory usage in toPandas with Arrow self_destruct
> -------------------------------------------------------
>
> Key: SPARK-32953
> URL: https://issues.apache.org/jira/browse/SPARK-32953
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.0.1
> Reporter: David Li
> Assignee: David Li
> Priority: Major
> Fix For: 3.2.0
>
>
> As described on the mailing list:
> [http://apache-spark-developers-list.1001551.n3.nabble.com/DISCUSS-Reducing-memory-usage-of-toPandas-with-Arrow-quot-self-destruct-quot-option-td30149.html] [https://lists.apache.org/thread.html/r581d7c82ada1c2ac3f0584615785cc60cf5ac231e1f29737d3a6569f%40%3Cdev.spark.apache.org%3E]
> toPandas() can as much as double memory usage as both Arrow and Pandas retain a copy of a dataframe in memory during the conversion. Arrow >= 0.16 offers a self_destruct mode that avoids this with some caveats.
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