topic Re: Pipeline Run - History Report in Data Pipelines Questions

Pipeline Run - History Report

MattReeves_SpokaneValley — Wed, 16 Oct 2024 16:02:42 GMT

I have a handful of Pipelines running to update data nightly & weekly. Is there a way to review these pipelines and see their run history, and their success or failure? It would be nice if this could be accomplished in a report, but even just being able to tell at the individual pipeline level would suffice.

Re: Pipeline Run - History Report

DuncanMackey — Wed, 16 Oct 2024 16:23:53 GMT

Hi Matt,

The best way to see all of your scheduled tasks and the run history for each is from the scheduled tasks page. To access the scheduled tasks page, navigate to the Data Pipelines gallery and click Manage scheduling. From here you can click on each of your tasks and view the past runs.

Give this a try, and please let me know if this doesn't meet your needs or if there is additional functionality you would like to see!

Thanks,

Duncan

Re: Pipeline Run - History Report

MattReeves_SpokaneValley — Wed, 16 Oct 2024 16:45:09 GMT

Thank you for responding Duncan,

Yes, this suffices for what I was trying to accomplish today.

That said, I could see benefit to being able to setup reporting that would summarize all of the Data Pipeline run results to one page, and possibly kick out to our ArcGIS Online accounts. Perhaps be able to set them up similar to the other reporting we can configure on other ArcGIS Online items/users/etc.

Thanks,

Matt

Re: Pipeline Run - History Report

KentuckyDGI — Wed, 17 Jun 2026 13:31:43 GMT

But what about just accessing the run history in general? Other than tasks, I see no way to find that info. And from what I can tell, unless I copy the pipeline url at runtime I can't via python, which basically only lets you see if its running. I haven't been able to find a way to view run history with python either.

Re: Pipeline Run - History Report

tmichael_wpjwa — Tue, 30 Jun 2026 14:06:44 GMT

I agree, I think it would be good to have more visibility into the history for Data Pipelines. Metrics for last run time, duration, result (success, failure), and some logging possibly.

This is a timely topic because something happened yesterday with a Pipeline that apparently caused it to run way longer than it should have, but I have no way to know which one or why. And for this specific example it would be nice to know the actual credit charge per pipeline / per run.