The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Hi has anyone faced erroneous outputs when using the "Run a query against a dataset" connector? I am trying to split a table into multiple csv based on a column 'scenario', using the following flow below and within the 'Run a query against a dataset for campaign results' I have summarized and order the columns I want from the dataset (Fyi, I reference this video to write my query text >>> https://www.youtube.com/watch?v=WsbIXJDhC_o) but strangely not all the exported csv returned the same number of columns nor were the columns ordered correctly for some. Is this some kind of bug for this connector? Appreciate Microsoft's advice on this, many thanks.
not all the exported csv returned the same number of columns nor were the columns ordered correctly for some
This may be caused by dataset refreshes completing in between your queries, or if your data source is in Direct Query mode.
The DAX query does not guarantee any sort order unless you explicitly ask for it (at an additional cost).
Thanks @lbendlin for the explanation, yes i did explicitly specify the columns and order in the 'run a query against a dataset for campaign results' step.
Would you happen to know how to change the query mode? I can't find a way to switch that from the 'Run a query against a dataset' connector in power automate. Appreciate your advice if you know of any, many thanks.
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
108 | |
78 | |
77 | |
46 | |
39 |
User | Count |
---|---|
137 | |
108 | |
64 | |
64 | |
53 |