Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hello all,
I'm trying to apply multiple filter conditions in the DAX formula, but getting syntax error.
Filter condition 1: Asset[Program] = "Primary Assets"
Filter condition 2: Asset[Category] IN ("ASM", "NSN","TPG","STB")
This part is execueted correctly without any error:
------------------------------------------------------
evaluate filter( SUMMARIZECOLUMNS(
Asset[Type],
Asset[Program],
Asset[Category],
Sales[Period],
Sales[Quantity])
, Asset[Program] = "Primary Assets")
But I want to include 2nd filter condition in the DAX but it's not working i.e.
(Asset[Category] = "NSN" OR
Asset[Category] = "NSN" OR
Asset[Category] = "TPG" OR
Asset[Category] = "STB")
Could you please tell me how to add 2nd condtion to the above DAX formula with OR operator.
My expected output should be somting like this:
evaluate filter( SUMMARIZECOLUMNS(
Asset[Type],
Asset[Program],
Asset[Category],
Sales[Period],
Sales[Quantity])
, Asset[Program] = "Primary Assets"
below condition need to be included in the DAX
OR Asset[Category] = "NSN"
OR Asset[Category] = "NSN"
OR Asset[Category] = "TPG"
OR Asset[Category] = "STB"
)
Thanks
Dee
Solved! Go to Solution.
Hi @Deeintu
You can tweak your current syntax to apply Filter Condition 1 OR Filter Condition 2:
EVALUATE
FILTER (
SUMMARIZECOLUMNS (
Asset[Type],
Asset[Program],
Asset[Category],
Sales[Period],
Sales[Quantity]
),
OR (
Asset[Program] = "Primary Assets",
Asset[Category] IN { "ASM", "NSN", "TPG", "STB" }
)
)
One potential performance issue with FILTER( SUMMARIZECOLUMNS(...)) is that SUMMARIZECOLUMNS returns the full table (which contains some unwanted rows) which is then iterated over with FILTER.
An alternative, which may perform better, is to construct a table containing the filter condition, and provide that as an argument in SUMMARIZECOLUMNS after the Groupby columns. Something like this:
EVALUATE
VAR FilterTable =
UNION (
CROSSJOIN (
TREATAS ( { "Primary Assets" }, Asset[Program] ),
ALL ( Asset[Category] )
),
CROSSJOIN (
ALL ( Asset[Program] ),
TREATAS ( { "ASM", "NSN", "TPG", "STB" }, Asset[Category] )
)
)
RETURN
SUMMARIZECOLUMNS (
Asset[Type],
Asset[Program],
Asset[Category],
Sales[Period],
Sales[Quantity],
FilterTable
)
See also this article (which the 2nd approach above is based on):
https://www.sqlbi.com/articles/using-or-conditions-between-slicers-in-dax/
Regards,
Owen
Hi @Deeintu
You can tweak your current syntax to apply Filter Condition 1 OR Filter Condition 2:
EVALUATE
FILTER (
SUMMARIZECOLUMNS (
Asset[Type],
Asset[Program],
Asset[Category],
Sales[Period],
Sales[Quantity]
),
OR (
Asset[Program] = "Primary Assets",
Asset[Category] IN { "ASM", "NSN", "TPG", "STB" }
)
)
One potential performance issue with FILTER( SUMMARIZECOLUMNS(...)) is that SUMMARIZECOLUMNS returns the full table (which contains some unwanted rows) which is then iterated over with FILTER.
An alternative, which may perform better, is to construct a table containing the filter condition, and provide that as an argument in SUMMARIZECOLUMNS after the Groupby columns. Something like this:
EVALUATE
VAR FilterTable =
UNION (
CROSSJOIN (
TREATAS ( { "Primary Assets" }, Asset[Program] ),
ALL ( Asset[Category] )
),
CROSSJOIN (
ALL ( Asset[Program] ),
TREATAS ( { "ASM", "NSN", "TPG", "STB" }, Asset[Category] )
)
)
RETURN
SUMMARIZECOLUMNS (
Asset[Type],
Asset[Program],
Asset[Category],
Sales[Period],
Sales[Quantity],
FilterTable
)
See also this article (which the 2nd approach above is based on):
https://www.sqlbi.com/articles/using-or-conditions-between-slicers-in-dax/
Regards,
Owen
Thanks for your help OwenAuger!
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
56 | |
54 | |
54 | |
37 | |
29 |
User | Count |
---|---|
77 | |
63 | |
45 | |
40 | |
40 |