Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hello,
I have been trying "Direct Query" to our sql server tables all on 1 database, and it seems to work fine.
But now I bumped on limitations of Direct Query, when I tried to make transformations with Date. As I have understood, special treatment of date columns (year, quarter, month, day, so on) are still not supported in DirectQuery mode.
What can I do in this case?
I have a date "01.01.2015 00:00:00", but I need also columns with
for example: Jan 2015; January; 2015
(actually I need also get rid of "00:00:00", but Direct Query prohibits this transformation as well)
Another question is, is it possible in Power BI Desktop - Direct Query Modus to work with calculated columns and measures, and DAX at all?
Solved! Go to Solution.
Hi @Jolyon,
In your scenario, please follow the steps below to create a column in Date table and use the column in visual filter.
1. Create a Column called MonthSequentialNumber in the date table using the following formula.
MonthSequentialNumber = MonthSequentialNumber = year('Date'[Date]) * 12 + Month( 'Date'[Date]) – 1
2. Create a measure called CurrentMonthSeqeuntialNumber = Year(Today()) * 12 + Month(today()) - 1
3. Create a column in Date table called show using the fomula below
show = IF('Date'[MonthSequentialNumber]>=[CurrentMonthSeqeuntialNumber]&& 'Date'[MonthSequentialNumber]<=[CurrentMonthSeqeuntialNumber]+5,1,0)
4. Show column will have a value of 0 or 1 in the date table.
5. Create relationship using Date columns in Date table and your target table.
6. Create a column chart where Axis is Date and Value is OpportunitiesAmount, then drag Show column to visual filter, there is an example for your reference, for more details, please review the example in this attached PBIX file.
Thanks,
Lydia Zhang
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.