[jira] [Assigned] (SPARK-31711) Register the executor source with the metrics system when running in local mode.
[ https://issues.apache.org/jira/browse/SPARK-31711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Thomas Graves reassigned SPARK-31711: - Assignee: Luca Canali > Register the executor source with the metrics system when running in local > mode. > > > Key: SPARK-31711 > URL: https://issues.apache.org/jira/browse/SPARK-31711 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 3.0.0 >Reporter: Luca Canali >Assignee: Luca Canali >Priority: Minor > > The Apache Spark metrics system provides many useful insights on the Spark > workload. In particular, the executor source metrics > (https://github.com/apache/spark/blob/master/docs/monitoring.md#component-instance--executor) > provide detailed info, including the number of active tasks, some I/O > metrics, and task metrics details. Executor source metrics, contrary to other > sources (for example ExecutorMetrics source), are not yet available when > running in local mode. > This JIRA proposes to register the executor source with the Spark metrics > system when running in local mode, as this can be very useful when testing > and troubleshooting Spark workloads. -- 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-31711) Register the executor source with the metrics system when running in local mode.
[ https://issues.apache.org/jira/browse/SPARK-31711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-31711: Assignee: Apache Spark > Register the executor source with the metrics system when running in local > mode. > > > Key: SPARK-31711 > URL: https://issues.apache.org/jira/browse/SPARK-31711 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 3.0.0 >Reporter: Luca Canali >Assignee: Apache Spark >Priority: Minor > > The Apache Spark metrics system provides many useful insights on the Spark > workload. In particular, the executor source metrics > (https://github.com/apache/spark/blob/master/docs/monitoring.md#component-instance--executor) > provide detailed info, including the number of active tasks, some I/O > metrics, and task metrics details. Executor source metrics, contrary to other > sources (for example ExecutorMetrics source), are not yet available when > running in local mode. > This JIRA proposes to register the executor source with the Spark metrics > system when running in local mode, as this can be very useful when testing > and troubleshooting Spark workloads. -- 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-31711) Register the executor source with the metrics system when running in local mode.
[ https://issues.apache.org/jira/browse/SPARK-31711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-31711: Assignee: (was: Apache Spark) > Register the executor source with the metrics system when running in local > mode. > > > Key: SPARK-31711 > URL: https://issues.apache.org/jira/browse/SPARK-31711 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 3.0.0 >Reporter: Luca Canali >Priority: Minor > > The Apache Spark metrics system provides many useful insights on the Spark > workload. In particular, the executor source metrics > (https://github.com/apache/spark/blob/master/docs/monitoring.md#component-instance--executor) > provide detailed info, including the number of active tasks, some I/O > metrics, and task metrics details. Executor source metrics, contrary to other > sources (for example ExecutorMetrics source), are not yet available when > running in local mode. > This JIRA proposes to register the executor source with the Spark metrics > system when running in local mode, as this can be very useful when testing > and troubleshooting Spark workloads. -- 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
