ROLLUP DAX Function (Table manipulation)
Identifies a subset of columns specified in the call to SUMMARIZE function that should be used to calculate subtotals.
Syntax
| Parameter | Attributes | Description |
|---|---|---|
| GroupBy_ColumnName | Repeatable |
The GroupBy_ColumnName parameter must be a qualified name of an existing column to be used to create summary groups based on the values found in it. |
Return values
The function does not return a value. It only specifies the set of columns to be subtotaled.
Remarks
The ROLLUP function is used exclusively within SUMMARIZE.
The columns mentioned in the ROLLUP expression cannot be referenced as part of a GroupBy_columnName columns in SUMMARIZE.
» 1 related function
Examples
-- ROLLUP in SUMMARIZE computes subtotals for the specified columns.
-- Subtotal rows can be detected through ISSUBTOTAL
EVALUATE
CALCULATETABLE (
SUMMARIZE (
Sales,
ROLLUP ( 'Date'[Calendar Year] ),
"Year total", ISSUBTOTAL ( 'Date'[Calendar Year] ),
"Amount", [Sales Amount]
),
TREATAS ( { "CY 2008", "CY 2009" }, 'Date'[Calendar Year] ),
TREATAS ( { "Bachelors", "Partial College" }, Customer[Education] )
)
ORDER BY
[Year total],
[Calendar Year]
| Calendar Year | Year total | Amount |
|---|---|---|
| 2008-01-01 | false | 747,365.53 |
| 2009-01-01 | false | 362,354.56 |
| (Blank) | true | 1,109,720.09 |
-- You can specify multiple columns in the same ROLLUP
-- to produce multiple levels of subtotals.
-- SUMMARIZE does not support multiple ROLLUP, whereas
-- SUMMARIZECOLUMNS does support multiple rollup conditions by
-- using ROLLUPADDISSUBTOTAL
EVALUATE
CALCULATETABLE (
SUMMARIZE (
Sales,
ROLLUP ( 'Date'[Calendar Year], Customer[Education] ),
"Year total", ISSUBTOTAL ( 'Date'[Calendar Year] ),
"Education total", ISSUBTOTAL ( Customer[Education] ),
"Amount", [Sales Amount]
),
TREATAS ( { "CY 2008", "CY 2009" }, 'Date'[Calendar Year] ),
TREATAS ( { "Bachelors", "Partial College" }, Customer[Education] )
)
ORDER BY
[Year total],
[Calendar Year]
| Calendar Year | Education | Year total | Education total | Amount |
|---|---|---|---|---|
| 2008-01-01 | Bachelors | false | false | 429,554.13 |
| 2008-01-01 | Partial College | false | false | 317,811.40 |
| 2008-01-01 | (Blank) | false | true | 747,365.53 |
| 2009-01-01 | Bachelors | false | false | 189,037.54 |
| 2009-01-01 | Partial College | false | false | 173,317.03 |
| 2009-01-01 | (Blank) | false | true | 362,354.56 |
| (Blank) | (Blank) | true | true | 1,109,720.09 |
-- Using ROLLUPGROUP you can reduce the number of subtotals
-- by grouping together several columns.
EVALUATE
CALCULATETABLE (
SUMMARIZE (
Sales,
ROLLUP ( ROLLUPGROUP ( 'Date'[Calendar Year], Customer[Education] ) ),
"Year total", ISSUBTOTAL ( 'Date'[Calendar Year] ),
"Education total", ISSUBTOTAL ( Customer[Education] ),
"Amount", [Sales Amount]
),
TREATAS ( { "CY 2008", "CY 2009" }, 'Date'[Calendar Year] ),
TREATAS ( { "Bachelors", "Partial College" }, Customer[Education] )
)
ORDER BY
[Year total],
[Calendar Year]
| Calendar Year | Education | Year total | Education total | Amount |
|---|---|---|---|---|
| 2008-01-01 | Bachelors | false | false | 429,554.13 |
| 2008-01-01 | Partial College | false | false | 317,811.40 |
| 2009-01-01 | Bachelors | false | false | 189,037.54 |
| 2009-01-01 | Partial College | false | false | 173,317.03 |
| (Blank) | (Blank) | true | true | 1,109,720.09 |
Related articles
Learn more about ROLLUP in the following articles:
-
Best Practices Using SUMMARIZE and ADDCOLUMNS
Everyone using DAX is probably used to SQL query language. Because of the similarities between the Tabular data modeling and the relational data modeling, there is the expectation that you can perform the same operations as those allowed in SQL. However, in its current implementation DAX does not permit all the operations that you can […] » Read more
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All the secrets of SUMMARIZE
SUMMARIZE is a function that looks quite simple, but its functionality hides some secrets that might surprise even seasoned DAX coders. In this article, we analyze the behavior of SUMMARIZE, in order to completely describe its semantic. The final advice might surprise you: we will suggest to avoid the use of SUMMARIZE in your code, […] » Read more
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Last update: Apr 2, 2021 » Contribute » Show contributors
Contributors: Alberto Ferrari, Marco Russo