Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more.
Get startedGrow your Fabric skills and prepare for the DP-600 certification exam by completing the latest Microsoft Fabric challenge.
Hi there,
I have one dataset that is taking 30 min to refresh on powerbiservice. Is there a quick way to see how much time each query is taking to refresh?
Many thanks
Solved! Go to Solution.
You can turn on query diagnostics in Power Query on the desktop and do a full refresh. Query Diagnostics - Power Query | Microsoft Docs
It will give you a lot of info about each query. But what might run fast on your PC might be slow on the service, or vice versa. It is because the service has a different connection to the data than you do. The Service directly to SalesForce data for example might be faster if MS has a big pipe to the Salesforce data, but the Service to your database might be slower if it has to go through an on prem gateway and that connection hasn't been optimized by your IT department.
DAX is for Analysis. Power Query is for Data Modeling
Proud to be a Super User!
MCSA: BI ReportingYou can turn on query diagnostics in Power Query on the desktop and do a full refresh. Query Diagnostics - Power Query | Microsoft Docs
It will give you a lot of info about each query. But what might run fast on your PC might be slow on the service, or vice versa. It is because the service has a different connection to the data than you do. The Service directly to SalesForce data for example might be faster if MS has a big pipe to the Salesforce data, but the Service to your database might be slower if it has to go through an on prem gateway and that connection hasn't been optimized by your IT department.
DAX is for Analysis. Power Query is for Data Modeling
Proud to be a Super User!
MCSA: BI ReportingJoin the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Ask questions in Eventhouse and KQL, Eventstream, and Reflex.
User | Count |
---|---|
41 | |
23 | |
21 | |
21 | |
13 |