Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Good morning!
Hi I was trying to see what SQL queries does my Power BI report generate for the DB, and in my case i was trying a paralelperiod function to see how it is generated in the DB. I´m using a Direct Query connection to my DB in Vertica. This is the example DAX query:
When I evaluate the query in DAX Studio I get that the selection of DATES for the query is done one by one with an IN. The column D_DT is Date Time format and when I see the SQL query in DAX studio the result is this:
If you look the scrollbar you realize there is a huge amount of Dates written one by one.
So my doubt is , isn´t this very inefficient? Wouldn´t it be better just to use a BETWEEN or any other way more efficient rather than generate all the DATES that is going to use one by one?
Thanks for your time!
Solved! Go to Solution.
@Anonymous
You may use DATESINPERIOD().
DATESINPERIOD function (DAX) - DAX | Microsoft Docs
Paul Zheng
@Anonymous
You may use DATESINPERIOD().
DATESINPERIOD function (DAX) - DAX | Microsoft Docs
Paul Zheng
Thanks, that is what i was looking for!
I have just tried it and it works in the same way. I´m not searching for a practical solution though, I´m just trying to know why it works the way it does and not other way that for me would look more efficient. But thank you anyways for the response.
I would agree but the developers probably have a good reason for not using BETWEEN. Do you know what the compatibility level is for BETWEEN ?
Not really ,I was just asking myself why this was the way parallelperiod worked existing the other ways. But I also agree with you, the developers may have a reason for it
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 17 | |
| 9 | |
| 8 | |
| 7 | |
| 7 |