SUBSTITUTEWITHINDEX DAX Function (Table manipulation)

Returns a table which represents the semijoin of two tables supplied and for which the common set of columns are replaced by a 0-based index column. The index is based on the rows of the second table sorted by specified order expressions.


SUBSTITUTEWITHINDEX ( <Table>, <Name>, <SemiJoinIndexTable>, <Expression> [, [<Order>] [, <Expression> [, [<Order>] [, … ] ] ] ] )
Parameter Attributes Description

Table to be modified.


A name of the column to be added to the first table.


Table that will be ordered and used to calculate index and to join with the first argument.

Row Context

Order by expression for the second parameter (SemiJoinIndexTable).

Order Optional

The order to be applied. 0/FALSE/DESC – descending; 1/TRUE/ASC – ascending.

Return values

Table An entire table or a table with one or more columns.

A table that includes only those values present in the SemiJoinIndexTable table (similar to an inner join) and which has an index column instead the value column used to join Table with SemiJoinIndexTable.


The matching between Table and SemiJoinTable follows the same rules used by other join functions, such as NATURALINNERJOIN and NATURALLEFTOUTERJOIN: the columns must have the same data lineage, or they should both have no data lineage and the same column name. If a column without data lineage has the same name as a column with data lineage, it is ignored for the join condition. If no columns are matched, the function raises an error.


--  SUBSTITUTEWITHINDEX is a tool function used mainly by
--  Power BI to map values in a query to column in a matrix
--  by substituting the index columns with a number indicating
--  the column number where to put the result.
--  The matching between the two tables is based on data lineage
--  or column names.
    VAR R =
            'Date'[Calendar Year],
            TREATAS ( { "Contoso", "Fabrikam" }, 'Product'[Brand] ),
            "Amount", [Sales Amount]
    VAR C =
        SUMMARIZE ( Sales, 'Date'[Calendar Year] )
    VAR C_ColumnName =
        SELECTCOLUMNS({"CY 2007", "CY 2008", "CY 2009"}, "Calendar Year", [Value])
    VAR Result =
        SUBSTITUTEWITHINDEX ( R, "Column #", C, [Calendar Year], ASC )





-- The following code would generate an error 
-- because C_ColumnName has the same name
-- of a column with a data lineage
-- SUBSTITUTEWITHINDEX ( R, "Column #", C_ColumnName, [Calendar Year], ASC )

-- The following code works because the 
-- Date[Calendar Year] column loses the data lineage
-- in SELECTCOLUMNS by using an expression
        -- the expression remove the data lineage
        "Calendar Year", 'Date'[Calendar Year] & "",
    "Column #", C_ColumnName, [Calendar Year], ASC

Brand Calendar Year Amount
Contoso CY 2007 2,729,818.54
Fabrikam CY 2007 1,652,751.34
Contoso CY 2008 2,369,167.68
Fabrikam CY 2008 1,993,123.48
Contoso CY 2009 2,253,412.80
Fabrikam CY 2009 1,908,140.91
Calendar Year
CY 2007
CY 2008
CY 2009
Calendar Year
CY 2007
CY 2008
CY 2009
Brand Amount Column #
Contoso 2,729,818.54 0
Fabrikam 1,652,751.34 0
Contoso 2,369,167.68 1
Fabrikam 1,993,123.48 1
Contoso 2,253,412.80 2
Fabrikam 1,908,140.91 2
Brand Amount Column #
Contoso 2,729,818.54 0
Fabrikam 1,652,751.34 0
Contoso 2,369,167.68 1
Fabrikam 1,993,123.48 1
Contoso 2,253,412.80 2
Fabrikam 1,908,140.91 2

Last update: Jul 12, 2024   » Contribute   » Show contributors

Contributors: Alberto Ferrari, Marco Russo, Kenneth Barber

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Context Transition

This function performs a Context Transition if called in a Row Context. Click to read more.

Row Context

This expression is executed in a Row Context. Click to read more.


Not recommended

The use of this function is not recommended. See Remarks and Related functions for alternatives.

Not recommended

The use of this parameter is not recommended.


This function is deprecated. Jump to the Alternatives section to see the function to use.


A volatile function may return a different result every time you call it, even if you provide the same arguments. Click to read more.


This parameter is deprecated and its use is not recommended.

DirectQuery compatibility

Limitations are placed on DAX expressions allowed in measures and calculated columns.
The state below shows the DirectQuery compatibility of the DAX function.


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