[ 
https://issues.apache.org/jira/browse/SPARK-25451?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

zuotingbing updated SPARK-25451:
--------------------------------
    Description: 
 

See the attached pic.

 

!image-2018-09-18-16-35-09-548.png!

The executor 1 has 7 tasks, but in the Stages Page the total tasks of executor 
is 6.

 

to reproduce this simply start a shell:

$SPARK_HOME/bin/spark-shell --executor-cores 1 --executor-memory 1g 
--total-executor-cores 2 --master spark://localhost.localdomain:7077

Run job as fellows:

 

 
{code:java}
sc.parallelize(1 to 10000, 3).map{ x => throw new RuntimeException("Bad 
executor")}.collect() {code}
 

Go to the stages page and you will see the Total Tasks  is not right in
{code:java}
Aggregated Metrics by Executor{code}
table. 

 

  was:
 

See the attached pic.

!image-2018-09-18-16-35-09-548.png!

The executor 1 has 7 tasks, but in the Stages Page the total tasks of executor 
is 6.

 

to reproduce this simply start a shell:

$SPARK_HOME/bin/spark-shell --executor-cores 1 --executor-memory 1g 
--total-executor-cores 2 --master spark://localhost.localdomain:7077

Run job as fellows:

 

 
{code:java}
sc.parallelize(1 to 10000, 3).map{ x => throw new RuntimeException("Bad 
executor")}.collect() {code}
 

Go to the stages page and you will see the Total Tasks  is not right in
{code:java}
Aggregated Metrics by Executor{code}
table. 

 


> Stages page doesn't show the right number of the total tasks
> ------------------------------------------------------------
>
>                 Key: SPARK-25451
>                 URL: https://issues.apache.org/jira/browse/SPARK-25451
>             Project: Spark
>          Issue Type: Bug
>          Components: Web UI
>    Affects Versions: 2.3.1
>            Reporter: zuotingbing
>            Priority: Major
>         Attachments: mshot.png
>
>
>  
> See the attached pic.
>  
> !image-2018-09-18-16-35-09-548.png!
> The executor 1 has 7 tasks, but in the Stages Page the total tasks of 
> executor is 6.
>  
> to reproduce this simply start a shell:
> $SPARK_HOME/bin/spark-shell --executor-cores 1 --executor-memory 1g 
> --total-executor-cores 2 --master spark://localhost.localdomain:7077
> Run job as fellows:
>  
>  
> {code:java}
> sc.parallelize(1 to 10000, 3).map{ x => throw new RuntimeException("Bad 
> executor")}.collect() {code}
>  
> Go to the stages page and you will see the Total Tasks  is not right in
> {code:java}
> Aggregated Metrics by Executor{code}
> table. 
>  



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