ALLEXCEPT DAX Function (Filter)
Returns all the rows in a table except for those rows that are affected by the specified column filters.
Syntax
| Parameter | Attributes | Description |
|---|---|---|
| TableName |
The name of an existing table. |
|
| ColumnName | Repeatable |
A column or a table whose filtering is to be retained when ALLEXCEPT is used as a CALCULATE modifier. The column/table must be part of the expanded table specified in the first parameter. |
Return values
Remarks
When used as a modifier in CALCULATE or CALCULATETABLE, ALLEXCEPT removes the filters from the expanded table specified in the first argument, keeping only the filters in the columns specified in the following arguments.
When used as a table function, ALLEXCEPT materializes all the unique combinations of the columns in the table specified in the first argument that are not listed in the following arguments. In this case, the result only has the columns of the table and ignores the expanded table.
For example, having a table T with four columns (a, b, c, d), the two following table expressions are equivalent:
FILTER (
ALLEXCEPT ( T, T[a], T[b] ), -- The result as a table expression has only T[c] and T[d]
<expr>
)
-- The result of the following expression is identical to the previous one
FILTER (
ALL ( T[c], T[d] ), -- The result as a table expression has only T[c] and T[d]
<expr>
)
However, ALLEXCEPT is commonly used as a CALCULATE modifier and very rarely needed as a table function.
» 3 related functions
Examples
Remove filters from all the columns of the Customer table but City.
CALCULATE (
<exp>,
ALLEXCEPT ( Customer, Customer[City] )
)
Remove filters from all the columns of the expanded table Sales but City.
CALCULATE (
<exp>,
ALLEXCEPT ( Sales, Customer[City] )
)
Remove filters from all the columns of the expanded table Sales but Date table and City column.
CALCULATE (
<exp>,
ALLEXCEPT ( Sales, 'Date', Customer[City] )
)
ALLEXCEPT used as a table function returns a table removing columns and duplicated rows.
-- Returns all the 'Product' columns
EVALUATE
ALL ( 'Product' )
-- Returns all the 'Product' columns but ProductKey and Product Code
EVALUATE
ALLEXCEPT ( 'Product', 'Product'[ProductKey], 'Product'[Product Code] )
-- Reducing the number of columns returned
-- also reducse the number of rows
EVALUATE
ALLEXCEPT (
'Product',
'Product'[ProductKey],
'Product'[Product Code],
'Product'[Product Name],
'Product'[Manufacturer],
'Product'[Brand]
)
-- The following query returns all the products
-- with Contoso brand, regardless of the color
EVALUATE
CALCULATETABLE (
CALCULATETABLE (
'Product',
ALLEXCEPT ( 'Product', 'Product'[Brand] )
),
'Product'[Brand] = "Contoso",
'Product'[Color] = "Red"
)
-- In this example, ALLEXCEPT ignores Sales expanded table filters
-- except the cross-filters coming from Date and the column Product[Color]
DEFINE
MEASURE Sales[# Sales] = COUNTROWS ( Sales )
EVALUATE
CALCULATETABLE (
{
( 1, "# Sales (CY 2009 - Red)", [# Sales] ),
( 2, "# Sales (CY 2009)", CALCULATE ( [# Sales], ALLEXCEPT ( Sales, 'Date' ) ) ),
( 3, "# Sales (Red)", CALCULATE ( [# Sales], ALLEXCEPT ( Sales, 'Product'[Color] ) ) ),
( 4, "# Sales", CALCULATE ( [# Sales], REMOVEFILTERS ( ) ) )
},
'Product'[Color] = "Red",
'Date'[Calendar Year] = "CY 2009"
)
ORDER BY [Value1]
| Value1 | Value2 | Value3 |
|---|---|---|
| 1 | # Sales (CY 2009 – Red) | 2,038 |
| 2 | # Sales (CY 2009) | 39,793 |
| 3 | # Sales (Red) | 5,802 |
| 4 | # Sales | 100,231 |
-- ALLEXCEPT has a different behavior if used as a table function
-- or as a CALCULATE modifier.
EVALUATE
CALCULATETABLE (
{
( "CALCULATE FILTER",
CALCULATE (
COUNTROWS ( Sales ),
ALLEXCEPT ( Sales, 'Date' ) )
),
( "TABLE FUNCTION",
COUNTROWS (
ALLEXCEPT ( Sales, 'Date' ) )
)
},
'Date'[Calendar Year] = "CY 2009",
'Product'[Color] = "Red"
)
| Value1 | Value2 |
|---|---|
| CALCULATE FILTER | 39,793 |
| TABLE FUNCTION | 100,231 |
Related articles
Learn more about ALLEXCEPT in the following articles:
-
Managing “all” functions in DAX: ALL, ALLSELECTED, ALLNOBLANKROW, ALLEXCEPT
This article provides a complete explanation of the behavior of the ALLxxx functions in DAX. When used as filters in CALCULATE, ALLxxx functions might display unexpected behaviors. » Read more
-
Using ALLEXCEPT versus ALL and VALUES
This article describes the semantic difference between ALLEXCEPT and the joint use of ALL and VALUES, showing practical examples of the different results in Power BI and SSAS 2016. » Read more
-
Expanded tables in DAX
Expanded tables are the core of DAX; understanding how they work is of paramount importance. This article provides a theoretical foundation of what expanded tables are, along with fundamental concepts useful when reading DAX code. » Read more
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Understanding Circular Dependencies in Tabular and PowerPivot
When you design a data model for Tabular you should pay attention to a though topic, which is that of circular dependencies in formulas. It is very important to learn how to handle circular dependencies now because in SQL 2012… » Read more
-
Comparing different school terms in Power BI
This article describes how to implement the comparison between school terms. The same technique can be applied to any arbitrary time periods that do not match regular months or quarters in a calendar, such as seasons or campaigns. » Read more
Related functions
Other related functions are:
Last update: Apr 11, 2024 » Contribute » Show contributors
Contributors: Alberto Ferrari, Marco Russo, Albe Gouws, Kenneth Barber
Microsoft documentation: https://docs.microsoft.com/en-us/dax/allexcept-function-dax