This is already being covered by SPARK-2321 and SPARK-4145. There are pull requests that are already merged or already very far along -- e.g., https://github.com/apache/spark/pull/3009
If there is anything that needs to be added, please add it to those issues or PRs. On Wed, Nov 19, 2014 at 7:55 AM, Aniket Bhatnagar < aniket.bhatna...@gmail.com> wrote: > I have for now submitted a JIRA ticket @ > https://issues.apache.org/jira/browse/SPARK-4473. I will collate all my > experiences (& hacks) and submit them as a feature request for public API. > > On Tue Nov 18 2014 at 20:35:00 andy petrella <andy.petre...@gmail.com> > wrote: > >> yep, we should also propose to add this stuffs in the public API. >> >> Any other ideas? >> >> On Tue Nov 18 2014 at 4:03:35 PM Aniket Bhatnagar < >> aniket.bhatna...@gmail.com> wrote: >> >>> Thanks Andy. This is very useful. This gives me all active stages & >>> their percentage completion but I am unable to tie stages to job group (or >>> specific job). I looked at Spark's code and to me, it >>> seems org.apache.spark.scheduler.ActiveJob's group ID should get propagated >>> to StageInfo (possibly in the StageInfo.fromStage method). For now, I will >>> have to write my own version JobProgressListener that stores stageId to >>> group Id mapping. >>> >>> I will submit a JIRA ticket and seek spark dev's opinion on this. Many >>> thanks for your prompt help Andy. >>> >>> Thanks, >>> Aniket >>> >>> >>> On Tue Nov 18 2014 at 19:40:06 andy petrella <andy.petre...@gmail.com> >>> wrote: >>> >>>> I started some quick hack for that in the notebook, you can head to: >>>> https://github.com/andypetrella/spark-notebook/ >>>> blob/master/common/src/main/scala/notebook/front/widgets/ >>>> SparkInfo.scala >>>> >>>> On Tue Nov 18 2014 at 2:44:48 PM Aniket Bhatnagar < >>>> aniket.bhatna...@gmail.com> wrote: >>>> >>>>> I am writing yet another Spark job server and have been able to submit >>>>> jobs and return/save results. I let multiple jobs use the same spark >>>>> context but I set job group while firing each job so that I can in future >>>>> cancel jobs. Further, what I deserve to do is provide some kind of status >>>>> update/progress on running jobs (a % completion but be awesome) but I am >>>>> unable to figure out appropriate spark API to use. I do however see status >>>>> reporting in spark UI so there must be a way to get status of various >>>>> stages per job group. Any hints on what APIs should I look at? >>>> >>>>