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Submission GuidelinesAlteryx Designer is an amazing data tool but it’s partner, "the Scheduler" needs some much needed upgrades. The Scheduler interface that pops up from Alteryx Designer does need a complete make over. I’m not going to address this but rather focus on the functionality that if delivered makes the Scheduler much more useful.
Today I’m reading our Mongo db scheduler data using an Alteryx workflow and Tableau to show what’s happening on the Scheduler. This dashboard is what we refer to frequently to see the health of our companies data pipeline. I’ll share both files soon.
Here are the top 5 features for the Scheduler.
Why: At midnight we set off several workflows. We want to centrally manage which runs first based on a common ‘priority’ field.
Why: Some workflows only run on the main controller due to file system references. Also a worker can be tuned for CPU or Disk I/O and workflows that can benefit from this tuning. Selecting a disk I/O intensive workflow to run on a server tuned for Disk I/O would speed up our workflows.
FYI: We used the Runner tool for a short time to resolve this issue but learned quickly that the Runner tool is like a bull in a china shop and brought our server down. The runner tool as it is today is not an option for production work.
Why: This would allow you to run several workflows one after another. For example the first would read from a data source, the second would do calculations on the data and the third workflow would publish the data. All workflows are given a ‘workflow-number’ which can be seen in the scheduler list and read from Mongo db.
Why: Some workflows fail and if attempted to run again may work. This includes issues with locked files and workflows dependent on processes outside of Alteryx.
Why: Some workflows start to hog resources and need to be killed. If a new workflow is added this is a good way to protect the overall scheduled workflows.
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