GENERATEALL
Applies to: 
Calculated column
Calculated table
Measure
Visual calculation
Returns 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.
Syntax
GENERATEALL(<table1>, <table2>)
Parameters
| Term | Definition |
|---|---|
table1 |
Any DAX expression that returns a table. |
table2 |
Any DAX expression that returns a table. |
Return value
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
Remarks
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.
Example
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.