This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
I need help translating this query to DAX:
select sum(true_total) as physician_values, p.physician_id
from orders as o inner join prescriptions as p
on cast(o.purchased_on as date) <= p.script_end and cast(o.purchased_on as date) >= p.script_start and o.client_id = p.client_id
group by p.physician_id;
I tried using DirectQuery but I was having trouble slicing the data by date.
Hi @dennis_yin,
The measure could be like below. If you need a more precise solution, please provide a dummy sample.
The o.client_id = p.client_id part will be achieved by the relationship.
Measure =
CALCULATE (
SUM ( orders[true_total] ),
FILTER (
orders,
orders[purchased_on] <= MIN ( prescriptions[script_end] )
&& orders[purchased_on] >= MIN ( prescriptions[script_start] )
)
)
Best Regards,
Dale
Thanks for the reply Dale, but I realize now that I didn't properly explain what I'm trying to do. I need the sum of orders[true_total] for each unique physician, and I need to be able to filter valid prescriptions by a given date. So then if a user chooses September 1 with the date slicer, the true_total value for each physician only reflects prescriptions with a start date <= September 1, and an expiry date >= September 1.
Hi @dennis_yin,
Please share a dummy sample.
Best Regards,
Dale
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 35 | |
| 32 | |
| 25 | |
| 23 | |
| 16 |
| User | Count |
|---|---|
| 65 | |
| 50 | |
| 30 | |
| 23 | |
| 23 |