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Using Microsoft Flow Parallelism to process CDS Records

Do you need to process a lot of Common Data Service records as fast as possible? Then you should consider setting the Concurrency degrees of parallelism to as high a level as your service will support. In an earlier blog I did a test of updating 15,000 Account records. It took 168 minutes to retrieve the records and update two text fields. I didn’t make any changes to the default setting for the number of loops that would run at a time.

For the next experiment I then went in to the flow and edited the settings for the Apply to each action to move the slider all the way to 50.

Microsoft Flow Concurrency Degrees of Parallelism

Now if we take a look at the flow we can see that took 3 hours, executed in 17 minutes by allowing multiple loops to run at the same time.
So instead of processing 88 records/minute the flow processed 882 records/minute. Wow! That is a significant production rate improvement.
Note: This does come with some risks, if you use it with a service that has it’s allowed API call rate exceeded you will generate a flow error, causing the flow to fail. Check out this doc to learn more about Concurrency, looping, and debatching limits.
Microsoft Flow at light speed
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