Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
I'm using this measure in PBI desktop which works fine:
m_lan= sumx(values('vAbc'[ProjectID]),calculate(DISTINCTCOUNT('vAbc'[ID])))))
But I need to add two conditions and tried to change m_lan as below but getting this error: The following syntax error occurred during parsing: Invalid token, Line 3, Offset 3, .
New measure(with line number):
1 m_lan =
2 var lan =CALCULATE(
3 DISTINCTCOUNT('vAbc'[ID]),
4 FILTER('vAbc',
5 'vAbc'[col1] <> "Hello" &&
6 NOT(ISBLANK('vAbc'[col1]))
7 )
8 )
9
10 return SUMX(VALUES('vAbc'[ProjectID]), lan)
I've tried to rewrite the measure in many ways but still getting error or wrong result. How can I add those conditions to the original measure? or why I getting this error?
Solved! Go to Solution.
m_lan =
SUMX(
VALUES('vAbc'[ProjectID]),
CALCULATE(
DISTINCTCOUNT('vAbc'[ID]),
FILTER(
All('vAbc'[col1]),
'vAbc'[col1] <> "Hello" &&
NOT iSBLANK( 'vAbc'[col1] )
)
)
Have you tried something like this?
m_lan= CALCULATE(
sumx(values('vAbc'[ProjectID]),calculate(DISTINCTCOUNT('vAbc'[ID])))
,'vAbc'[col1] <> "Hello"
,NOT(ISBLANK('vAbc'[col1]))
)
Thank you for your suggestion. I changed measure but it shows the same value for all rows.
yes. was wondering what the sumx was for. But you might have to share more on the data you have and the output you are trying to achieve here.
@Trodo7377 Try this:
m_lan =
SUMX(
VALUES('vAbc'[ProjectID]),
CALCULATE(
DISTINCTCOUNT('vAbc'[ID]),
'vAbc'[col1] <> "Hello",
NOT(ISBLANK('vAbc'[col1]))
)
)
It's a little different
BBF
m_lan =
SUMX(
VALUES('vAbc'[ProjectID]),
CALCULATE(
DISTINCTCOUNT('vAbc'[ID]),
FILTER(
All('vAbc'[col1]),
'vAbc'[col1] <> "Hello" &&
NOT iSBLANK( 'vAbc'[col1] )
)
)
Thank you, it worked!🙂
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 7 | |
| 6 | |
| 4 | |
| 1 | |
| 1 |
| User | Count |
|---|---|
| 16 | |
| 8 | |
| 7 | |
| 6 | |
| 6 |