March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
Hi Experts,
I am facing an issue while converting the below SQL query into Dax .can you please help me to convert the query.
and suggest to me what kind of charts can be used for it on bi desktop.
select count(*) as Total,substr(nextrenewaldate,1,7) as year_month
from lei_user.gleif_leis_v21
where managingglou='EVK05KS7XY1DEII'
AND substr(initialregistrationdate,1,7)<'2019-07'
AND substr(nextrenewaldate,1,7) IN('2020-07','2020-08','2020-09')
Group by substr(nextrenewaldate,1,7);
Thanks in advance,
Solved! Go to Solution.
Hi, @kousar99 ;
You could create a column as follow:
year_month =
IF (
[managingglou] = "EVK05KS7XY1DEII"
&& MID ( [initialregistrationdate], 1, 7 ) < "2019-07"
&& MID ( [nextrenewaldate], 1, 7 ) IN { "2020-07", "2020-08", "2020-09" },
MID ( [nextrenewaldate], 1, 7 )
)
Then create a measure
total =
CALCULATE (
COUNTROWS ( table ),
FILTER (
ALL ( table ),
[year_month]= MAX ([year_month])
&& [managingglou] = "EVK05KS7XY1DEII"
&& MID ( [initialregistrationdate], 1, 7 ) < "2019-07"
&& MID ( [nextrenewaldate], 1, 7 ) IN { "2020-07", "2020-08", "2020-09" }))
Or create a column.
total =
CALCULATE (
COUNTROWS ( table ),
FILTER (
ALL ( table ),
[year_month] = EARLIER ( [year_month] )
&& [managingglou] = "EVK05KS7XY1DEII"
&& MID ( [initialregistrationdate], 1, 7 ) < "2019-07"
&& MID ( [nextrenewaldate], 1, 7 ) IN { "2020-07", "2020-08", "2020-09" }
)
)
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
The bigger and better thing is that I found this useful; you may check it out here: https://arunanex.com/
Hi, @kousar99 ;
You could create a column as follow:
year_month =
IF (
[managingglou] = "EVK05KS7XY1DEII"
&& MID ( [initialregistrationdate], 1, 7 ) < "2019-07"
&& MID ( [nextrenewaldate], 1, 7 ) IN { "2020-07", "2020-08", "2020-09" },
MID ( [nextrenewaldate], 1, 7 )
)
Then create a measure
total =
CALCULATE (
COUNTROWS ( table ),
FILTER (
ALL ( table ),
[year_month]= MAX ([year_month])
&& [managingglou] = "EVK05KS7XY1DEII"
&& MID ( [initialregistrationdate], 1, 7 ) < "2019-07"
&& MID ( [nextrenewaldate], 1, 7 ) IN { "2020-07", "2020-08", "2020-09" }))
Or create a column.
total =
CALCULATE (
COUNTROWS ( table ),
FILTER (
ALL ( table ),
[year_month] = EARLIER ( [year_month] )
&& [managingglou] = "EVK05KS7XY1DEII"
&& MID ( [initialregistrationdate], 1, 7 ) < "2019-07"
&& MID ( [nextrenewaldate], 1, 7 ) IN { "2020-07", "2020-08", "2020-09" }
)
)
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi,
I just need an idea of what kinda function can be used for that query and later ill paste some sample data
@kousar99 You can use the SQL Query as-is to extract data from your DB or you can do some steps in the Power Query to transform extracted data and then load them into the model or you can load your data and then calculated a table from the native one with these characteristics.
What do you want to do? The request is too general.
BF.
Hi,
Thanks for the response.
Please can u share a few samples for creating reports for LEIs renewal summary?
@kousar99 i found this guide: https://sonra.io/xml/converting-lei-xml-data-to-power-bi/
hope this will help u! if you have any question, write me!
BF
Hi Thanks for the response,
If you have any other material or videos ,kindly share with me
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.
User | Count |
---|---|
23 | |
16 | |
15 | |
7 | |
6 |
User | Count |
---|---|
33 | |
29 | |
16 | |
13 | |
12 |