[jira] [Assigned] (SPARK-33548) Peak Execution Memory not display on Spark Executor UI intuitively
[ https://issues.apache.org/jira/browse/SPARK-33548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-33548: Assignee: (was: Apache Spark) > Peak Execution Memory not display on Spark Executor UI intuitively > -- > > Key: SPARK-33548 > URL: https://issues.apache.org/jira/browse/SPARK-33548 > Project: Spark > Issue Type: Improvement > Components: Web UI >Affects Versions: 3.0.0, 3.0.1 >Reporter: xuziqiJS >Priority: Major > > Now, Peak Execution Memory can only be obtained through restAPI and cannot be > displayed on Spark Executor UI intuitively, although spark users tune spark > executor memory are dependent on the metrics. Therefore, it is very important > to display the peak memory usage on the spark UI. -- 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-33548) Peak Execution Memory not display on Spark Executor UI intuitively
[ https://issues.apache.org/jira/browse/SPARK-33548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-33548: Assignee: Apache Spark > Peak Execution Memory not display on Spark Executor UI intuitively > -- > > Key: SPARK-33548 > URL: https://issues.apache.org/jira/browse/SPARK-33548 > Project: Spark > Issue Type: Improvement > Components: Web UI >Affects Versions: 3.0.0, 3.0.1 >Reporter: xuziqiJS >Assignee: Apache Spark >Priority: Major > > Now, Peak Execution Memory can only be obtained through restAPI and cannot be > displayed on Spark Executor UI intuitively, although spark users tune spark > executor memory are dependent on the metrics. Therefore, it is very important > to display the peak memory usage on the spark UI. -- 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
