I put an instant cloud flow together that takes the following simple DAX query, creates a CSV table and parse the result over to a Sharepoint list:
The above query produces a table with 637 rows of data, and later on I realized that a few of the last rows contained wrong dates under the 'Data' column.
So I went ahead, rectified the information at the source, refreshed Power Query and just to make sure I re-created the same DAX code as a table in Power BI, and all 5 rows now contain the dates they're supposed to under 'Data', as highlighted below:
I then re-ran the Power Automate flow, but to my surprise those rows are still keeping the old (wrong) dates under the 'Data' column (6/28/2023, as opposed to 6/29/2023).
Initially I thought this could be an issue related to some action that parses the data over, either when creating the CSV table, or during the input/update to the Sharepoint list.
But upon investigation I found out to my surprise that the output out of the 'Run a query against a dataset' is the one that contains the outdated data.
So I went into the last flow run AFTER the aforementioned correction was made, as highlighted above, and downloaded the output from the 'Run a query against a dataset' action on the link below:
A browser window is open with all the query data dump in unformatted JSON, so I just pasted it onto a JSON formatter and as highlighted on the below snippet the output keeps bringing the dates prior to the correction I had made.
Would anybody know what's going on here?!
Any light shed is greatly appreciated. I'm starting to think I can't really trust on this solution, but I'm pretty sure the problem is on my side and I just can't see it.
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