sarutak opened a new pull request #27837: [SPARK-31073][WEBUI] Add "shuffle 
write time" to task metrics summary in StagePage.
URL: https://github.com/apache/spark/pull/27837
 
 
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   ### What changes were proposed in this pull request?
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   I've applied following changed to StagePage.
   1. Added `Shuffle Write Time` to task metrics summary.
   2. Added checkbox for `Shuffle Write Time` as an additional metrics.
   3. Renamed `Write Time` column in task table to `Shuffle Write Time` and let 
it as an additional column.
   
   
   ### Why are the changes needed?
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   Please clarify why the changes are needed. For instance,
     1. If you propose a new API, clarify the use case for a new API.
     2. If you fix a bug, you can clarify why it is a bug.
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   Task metrics summary doesn't show `Shuffle Write Time` even though it shows 
`Shuffle Read Blocked Time`.
   `Shuffle Read Blocked Time` is let as an additional metrics so I also let 
`Shuffle Write Time` as an other additional metrics.
   
   ### Does this PR introduce any user-facing change?
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   If yes, please clarify the previous behavior and the change this PR proposes 
- provide the console output, description and/or an example to show the 
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   Yes. After this change, task metrics summary can show `Shuffle Write Time` 
and its visibility is controlled by a checkbox.
   
![additional-metrics-after](https://user-images.githubusercontent.com/4736016/76101844-677acb80-6012-11ea-9923-d95d852c775b.png)
   
![task-summary-after](https://user-images.githubusercontent.com/4736016/76101856-6ea1d980-6012-11ea-9670-3cf0ecd6faff.png)
   
   `Write Time` column is already shown in task table but the title is 
ambiguous so I've renamed it as `Shuffle Write Time`.
   After this change, this column is also additional column like `Shuffle Read 
Blocked Time`.
   
![tasks-table-after](https://user-images.githubusercontent.com/4736016/76102216-00a9e200-6013-11ea-9d51-1a6ce2abb0b9.png)
   
   
   ### How was this patch tested?
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   I've tested manually using following code and confirm the UI.
   `sc.parallelize(1 to 1000).map(x => (x,x)).reduceByKey(_+_).collect`

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