[jira] [Assigned] (SPARK-33016) Potential SQLMetrics missed which might cause WEB UI display issue while AQE is on.

2020-10-12 Thread Wenchen Fan (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-33016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan reassigned SPARK-33016:
---

Assignee: Leanken.Lin

> Potential SQLMetrics missed which might cause WEB UI display issue while AQE 
> is on.
> ---
>
> Key: SPARK-33016
> URL: https://issues.apache.org/jira/browse/SPARK-33016
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.0.0
>Reporter: Leanken.Lin
>Assignee: Leanken.Lin
>Priority: Minor
>
> In current AQE execution, there might be a following scenario which might 
> cause SQLMetrics being incorrectly override.
>  # Stage A and B are created, and UI updated thru event 
> onAdaptiveExecutionUpdate.
>  # Stage A and B are running. Subquery in stage A keep updating metrics thru 
> event onAdaptiveSQLMetricUpdate.
>  # Stage B completes, while stage A's subquery is still running, updating 
> metrics.
>  # Completion of stage B triggers new stage creation and UI update thru event 
> onAdaptiveExecutionUpdate again (just like step 1).
>  
> But it's very hard to re-produce this issue, since it was only happened with 
> high concurrency. For the fix, I suggested that we might be able to keep all 
> duplicated metrics instead of updating it every time.



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[jira] [Assigned] (SPARK-33016) Potential SQLMetrics missed which might cause WEB UI display issue while AQE is on.

2020-10-07 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-33016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33016:


Assignee: Apache Spark

> Potential SQLMetrics missed which might cause WEB UI display issue while AQE 
> is on.
> ---
>
> Key: SPARK-33016
> URL: https://issues.apache.org/jira/browse/SPARK-33016
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.0.0
>Reporter: Leanken.Lin
>Assignee: Apache Spark
>Priority: Minor
>
> In current AQE execution, there might be a following scenario which might 
> cause SQLMetrics being incorrectly override.
>  # Stage A and B are created, and UI updated thru event 
> onAdaptiveExecutionUpdate.
>  # Stage A and B are running. Subquery in stage A keep updating metrics thru 
> event onAdaptiveSQLMetricUpdate.
>  # Stage B completes, while stage A's subquery is still running, updating 
> metrics.
>  # Completion of stage B triggers new stage creation and UI update thru event 
> onAdaptiveExecutionUpdate again (just like step 1).
>  
> But it's very hard to re-produce this issue, since it was only happened with 
> high concurrency. For the fix, I suggested that we might be able to keep all 
> duplicated metrics instead of updating it every time.



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[jira] [Assigned] (SPARK-33016) Potential SQLMetrics missed which might cause WEB UI display issue while AQE is on.

2020-10-07 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-33016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33016:


Assignee: (was: Apache Spark)

> Potential SQLMetrics missed which might cause WEB UI display issue while AQE 
> is on.
> ---
>
> Key: SPARK-33016
> URL: https://issues.apache.org/jira/browse/SPARK-33016
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.0.0
>Reporter: Leanken.Lin
>Priority: Minor
>
> In current AQE execution, there might be a following scenario which might 
> cause SQLMetrics being incorrectly override.
>  # Stage A and B are created, and UI updated thru event 
> onAdaptiveExecutionUpdate.
>  # Stage A and B are running. Subquery in stage A keep updating metrics thru 
> event onAdaptiveSQLMetricUpdate.
>  # Stage B completes, while stage A's subquery is still running, updating 
> metrics.
>  # Completion of stage B triggers new stage creation and UI update thru event 
> onAdaptiveExecutionUpdate again (just like step 1).
>  
> But it's very hard to re-produce this issue, since it was only happened with 
> high concurrency. For the fix, I suggested that we might be able to keep all 
> duplicated metrics instead of updating it every time.



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