[jira] [Assigned] (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 ] Bryan Cutler reassigned SPARK-32953: Assignee: David Li > 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] > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (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 ] Apache Spark reassigned SPARK-32953: Assignee: (was: Apache Spark) > 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 >Priority: Major > > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (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 ] Apache Spark reassigned SPARK-32953: Assignee: Apache Spark > 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: Apache Spark >Priority: Major > > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
