[jira] [Assigned] (SPARK-23626) Spark DAGScheduler scheduling performance hindered on JobSubmitted Event
[ https://issues.apache.org/jira/browse/SPARK-23626?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-23626: Assignee: (was: Apache Spark) > Spark DAGScheduler scheduling performance hindered on JobSubmitted Event > > > Key: SPARK-23626 > URL: https://issues.apache.org/jira/browse/SPARK-23626 > Project: Spark > Issue Type: Bug > Components: Scheduler >Affects Versions: 2.2.1, 2.3.3, 3.0.0 >Reporter: Ajith S >Priority: Major > Labels: bulk-closed > > DAGScheduler becomes a bottleneck in cluster when multiple JobSubmitted > events has to be processed as DAGSchedulerEventProcessLoop is single threaded > and it will block other tasks in queue like TaskCompletion. > The JobSubmitted event is time consuming depending on the nature of the job > (Example: calculating parent stage dependencies, shuffle dependencies, > partitions) and thus it blocks all the events to be processed. > > I see multiple JIRA referring to this behavior > https://issues.apache.org/jira/browse/SPARK-2647 > https://issues.apache.org/jira/browse/SPARK-4961 > > Similarly in my cluster some jobs partition calculation is time consuming > (Similar to stack at SPARK-2647) hence it slows down the spark > DAGSchedulerEventProcessLoop which results in user jobs to slowdown, even if > its tasks are finished within seconds, as TaskCompletion Events are processed > at a slower rate due to blockage. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-23626) Spark DAGScheduler scheduling performance hindered on JobSubmitted Event
[ https://issues.apache.org/jira/browse/SPARK-23626?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-23626: Assignee: Apache Spark > Spark DAGScheduler scheduling performance hindered on JobSubmitted Event > > > Key: SPARK-23626 > URL: https://issues.apache.org/jira/browse/SPARK-23626 > Project: Spark > Issue Type: Bug > Components: Scheduler >Affects Versions: 2.2.1, 2.3.3, 3.0.0 >Reporter: Ajith S >Assignee: Apache Spark >Priority: Major > Labels: bulk-closed > > DAGScheduler becomes a bottleneck in cluster when multiple JobSubmitted > events has to be processed as DAGSchedulerEventProcessLoop is single threaded > and it will block other tasks in queue like TaskCompletion. > The JobSubmitted event is time consuming depending on the nature of the job > (Example: calculating parent stage dependencies, shuffle dependencies, > partitions) and thus it blocks all the events to be processed. > > I see multiple JIRA referring to this behavior > https://issues.apache.org/jira/browse/SPARK-2647 > https://issues.apache.org/jira/browse/SPARK-4961 > > Similarly in my cluster some jobs partition calculation is time consuming > (Similar to stack at SPARK-2647) hence it slows down the spark > DAGSchedulerEventProcessLoop which results in user jobs to slowdown, even if > its tasks are finished within seconds, as TaskCompletion Events are processed > at a slower rate due to blockage. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-23626) Spark DAGScheduler scheduling performance hindered on JobSubmitted Event
[ https://issues.apache.org/jira/browse/SPARK-23626?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-23626: Assignee: (was: Apache Spark) > Spark DAGScheduler scheduling performance hindered on JobSubmitted Event > > > Key: SPARK-23626 > URL: https://issues.apache.org/jira/browse/SPARK-23626 > Project: Spark > Issue Type: Bug > Components: Scheduler >Affects Versions: 2.2.1 >Reporter: Ajith S >Priority: Major > > DAGScheduler becomes a bottleneck in cluster when multiple JobSubmitted > events has to be processed as DAGSchedulerEventProcessLoop is single threaded > and it will block other tasks in queue like TaskCompletion. > The JobSubmitted event is time consuming depending on the nature of the job > (Example: calculating parent stage dependencies, shuffle dependencies, > partitions) and thus it blocks all the events to be processed. > > I see multiple JIRA referring to this behavior > https://issues.apache.org/jira/browse/SPARK-2647 > https://issues.apache.org/jira/browse/SPARK-4961 > > Similarly in my cluster some jobs partition calculation is time consuming > (Similar to stack at SPARK-2647) hence it slows down the spark > DAGSchedulerEventProcessLoop which results in user jobs to slowdown, even if > its tasks are finished within seconds, as TaskCompletion Events are processed > at a slower rate due to blockage. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-23626) Spark DAGScheduler scheduling performance hindered on JobSubmitted Event
[ https://issues.apache.org/jira/browse/SPARK-23626?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-23626: Assignee: Apache Spark > Spark DAGScheduler scheduling performance hindered on JobSubmitted Event > > > Key: SPARK-23626 > URL: https://issues.apache.org/jira/browse/SPARK-23626 > Project: Spark > Issue Type: Bug > Components: Scheduler >Affects Versions: 2.2.1 >Reporter: Ajith S >Assignee: Apache Spark >Priority: Major > > DAGScheduler becomes a bottleneck in cluster when multiple JobSubmitted > events has to be processed as DAGSchedulerEventProcessLoop is single threaded > and it will block other tasks in queue like TaskCompletion. > The JobSubmitted event is time consuming depending on the nature of the job > (Example: calculating parent stage dependencies, shuffle dependencies, > partitions) and thus it blocks all the events to be processed. > > I see multiple JIRA referring to this behavior > https://issues.apache.org/jira/browse/SPARK-2647 > https://issues.apache.org/jira/browse/SPARK-4961 > > Similarly in my cluster some jobs partition calculation is time consuming > (Similar to stack at SPARK-2647) hence it slows down the spark > DAGSchedulerEventProcessLoop which results in user jobs to slowdown, even if > its tasks are finished within seconds, as TaskCompletion Events are processed > at a slower rate due to blockage. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
