GENERATEALL is a DAX function that performs a cross join between two tables, including rows where the second table is empty.
GENERATEALL(
Table1,
Table2
)| Argument | Properties | Description |
|---|---|---|
| Table1 | The base table in Generate. | |
| Table2 | A table expression that will be evaluated for each row in the first table. |
A table with the Cartesian product between each row in table1 and the table that results from evaluating table2 in the context of the current row from table1
If the evaluation of table2 for the current row in table1 returns an empty table, then the current row from table1 will be included in the results and columns corresponding to table2 will have null values for that row. This is different than GENERATE() where the current row from table1 will not be included in the results.
All column names from table1 and table2 must be different or an error is returned.
This function is not supported for use in DirectQuery mode when used in calculated columns or row-level security (RLS) rules.
In the following example, the user wants a summary table of the sales by Region and Product Category for the Resellers channel, like the following table:
| SalesTerritory[SalesTerritoryGroup] | ProductCategory[ProductCategoryName] | [Reseller Sales] |
|---|---|---|
| Europe | Accessories | $ 142,227.27 |
| Europe | Bikes | $ 9,970,200.44 |
| Europe | Clothing | $ 365,847.63 |
| Europe | Components | $ 2,214,440.19 |
| NA | Accessories | |
| NA | Bikes | |
| NA | Clothing | |
| NA | Components | |
| North America | Accessories | $ 379,305.15 |
| North America | Bikes | $ 52,403,796.85 |
| North America | Clothing | $ 1,281,193.26 |
| North America | Components | $ 8,882,848.05 |
| Pacific | Accessories | $ 12,769.57 |
| Pacific | Bikes | $ 710,677.75 |
| Pacific | Clothing | $ 22,902.38 |
| Pacific | Components | $ 108,549.71 |
The following formula produces the above table:
GENERATEALL(
SUMMARIZE(SalesTerritory, SalesTerritory[SalesTerritoryGroup])
,SUMMARIZE(ProductCategory
, [ProductCategoryName]
, "Reseller Sales", SUMX(RELATEDTABLE(ResellerSales_USD), ResellerSales_USD[SalesAmount_USD])
)
)
The first SUMMARIZE produces a table of territory groups, where each row is a territory group, like those listed below:
| SalesTerritory[SalesTerritoryGroup] |
|---|
| North America |
| Europe |
| Pacific |
| NA |
The second SUMMARIZE produces a table of Product Category groups with the Reseller sales for each group, as shown below:
| ProductCategory[ProductCategoryName] | [Reseller Sales] |
|---|---|
| Bikes | $ 63,084,675.04 |
| Components | $ 11,205,837.96 |
| Clothing | $ 1,669,943.27 |
| Accessories | $ 534,301.99 |
However, when you take the above table and evaluate the table under the context of each row from the territory groups table, you obtain different results for each territory.
Other functions related to GENERATEALL are:
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