PowerApps SQL connection very slow

[Hebj1]

Hi.

We recently added som logging to our PowerApps application to get a better view of how it is working. One thing we finally got hard numbers on was how incredibly slow PowerApps is. We have created an app that handles test protocols. The user fills out a number of records and then hits the save button. It replaces a system of Excel files they used before so it is made to work in a similar way as the spreadsheets where they could manage the hole protocol at once. We implemented this with a gallery that contains three measures for each row. When the user has completed the appropriate changes he/she hits the save button and we use ForAll and a Patch call for each edited row. Now with the logging we can see that it takes approximately one second for each row to be updated. So if the user enters ten rows it will take 10 seconds to save the protocol. Since we can have up to 50 records edited in one go it could take up to one minute to save the changes. Is this normal in PowerApps? Our users are very frustrated with this obviously.

[mdevaney · Accepted solution]

@Hebj1 
Hello there.  Welcome to our forums 🙂

Yes, the speed is normal.  Using for FORALL + PATCH is a very slow way to update 10 rows. It takes a long time because PowerApps must iterate through the loop and change records one-by-one.

The fastest way is to update the entire table at once.  First put the data into a collection.  Then use PATCH as shown below to update all 10 rows at the same time.

ClearCollect(your_collection_name, ???)
Patch(your_datasource_name, your_collection_name)

If need assistance, please supply the code you are using that is slow.  I might be able to help you re-write some of it if after you give it a try yourself. 

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[mdevaney · Accepted solution]

@TaeZ 
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[WheresWally]

Hi, 

I am using the solution you suggested and still seeing very slow speeds. More than 5 minutes to update 800 rows. Any tips on why that might be occurring? Looking at the SQL trace, it does look to be doing 1 row at a time. Thanks