[ 
https://issues.apache.org/jira/browse/SPARK-30664?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dongjoon Hyun updated SPARK-30664:
----------------------------------
    Affects Version/s:     (was: 3.0.0)
                       3.1.0

> Add more metrics to the all stages page
> ---------------------------------------
>
>                 Key: SPARK-30664
>                 URL: https://issues.apache.org/jira/browse/SPARK-30664
>             Project: Spark
>          Issue Type: Improvement
>          Components: Web UI
>    Affects Versions: 3.1.0
>            Reporter: Enrico Minack
>            Priority: Minor
>         Attachments: image-2020-01-28-16-12-49-807.png, 
> image-2020-01-28-16-13-36-174.png, image-2020-01-28-16-15-20-258.png
>
>
> The web UI page for individual stages has many useful metrics to diagnose 
> poorly performing stages, e.g. spilled bytes or GC time. Identifying those 
> stages among hundreds or thousands of stages is cumbersome, as you have to 
> click through all stages on the all stages page. The all stages page should 
> host more metrics from the individual stages page like
>  - Peak Execution Memory
>  - Spill (Memory)
>  - Spill (Disk)
>  - GC Time
> These additional metrics would make the page more complex, so showing them 
> should be optional. The individual stages page hides some metrics under 
> !image-2020-01-28-16-12-49-807.png! . Those new metrics on the all stages 
> page should also be made optional in the same way.
> !image-2020-01-28-16-13-36-174.png!
> Existing metrics like
>  - Input
>  - Output
>  - Shuffle Read
>  - Shuffle Write
> could be made optional as well and active by default. Then users can remove 
> them if they want but get the same view as now by default.
> The table extends as additional metrics get checked / unchecked:
> !image-2020-01-28-16-15-20-258.png!
> Sorting the table by metrics allows to find the stages with highest GC time 
> or spilled bytes.



--
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

Reply via email to