Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi Gurus,
I have requrirment that I struggel,
I have two tabels (Table 1 and table 2) I want a new calculated column in tabel 2.
logic is as below
if ColA and ColB (Tabel1) matches with Col1 and Col2 (Tabel2) new column should say "Scheduel" if not it should say "New"
Below is a image of the tabels
Solved! Go to Solution.
it works, thanks a lot chapm.
would you be able to explain the DAX machnics behind it. why would you use COUNTX, I thouugh it could get done with a LOOKUPVALUE function mearging with AND. (I tried it and failed).
Hi,
Write this calculated column formula in Table2
=if(calculate(countrows(table2),filter(table1,table1[ColA]=earlier(table2[Col1])&&table1[ColB]=earlier(table2[Col2])))>0,"Schedule","New")
Hope this helps.
It does not work
@Anonymous , New column in Table 2
new column =
Var _1 = countx(filter(Table1,Table1[ColA]=Table2[Col1] && Table1[ColB]=Table2[Col2]),[Table2[Col2]])
return if(isblank(_1) , "New","Scheduled")
it works, thanks a lot chapm.
would you be able to explain the DAX machnics behind it. why would you use COUNTX, I thouugh it could get done with a LOOKUPVALUE function mearging with AND. (I tried it and failed).
@Anonymous , LOOKUPVALUE shhould also work. But if there more then one values returned you need to handle that. In that one X function is bascially enfocing aggregation. So you will get one value.
Hi,
Share the link from where i can download your PBI file.
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
63 | |
63 | |
53 | |
39 | |
25 |
User | Count |
---|---|
85 | |
57 | |
45 | |
43 | |
38 |