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Hi,
thanks for providing the new connector, I am looking forward to using it a lot.
There is an issue with the date column. I am aiming to make an easy visual, showing the KPI total users by year and month. But no data is showing up for 2022 and 2023 (there is data in the account). I guess it has to do with the number of rows used while pulling the date field:/
I also tried to put a filter directly on the date column to see results only after the 1st of January 2022, but got an error message.
code=400
message=Invalid JSON payload received. Message too deep. Max recursion depth reached for key ''
status=INVALID_ARGUMENT
Is bug known? What can I do to go around it?
Thanks,
Pauline.
I am having the same issue and have discovered a usable workaround until a more permanent solution is implemented, though it won't apply to all use cases.
You can pull by 'date' and 'year' and then filter only by 'year' and it won't throw an error. That should give the desired granularity and, once combined that with some creative filtering (either 'begins with' or converting to a number then filtering), you can get it to filter down to a more manageable date range. I ended up using this step below to get all dates within the past 10 years:
= Table.SelectRows(#"Changed Type", each [year] > (Date.Year(DateTime.Date(DateTime.FixedLocalNow()))-10))
Hope that helps!
Hello,
I have the same problem... has anyone been able to solve it without using third party tools?
Hi @Berl21 May be a connector issue. I've used the native connector but I had issues sometimes. As a workaround, maybe you can try to test your connection with a 3rd party tool. I've tried windsor.ai, supemetrics and funnel.io. I stayed with windsor because it is much cheaper so just to let you know other options. In case you wonder, to make the connection first search for the GA4 connector in the data sources list:
After that, just grant access to your GA4 account using your credentials, then on preview and destination page you will see a preview of your G4 fields:
There just select the fields you need. Finally, just select PBI as your data destination and finally just copy and paste the url on PBI --> Get Data --> Web --> Paste the url.
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