![]() This is a convenient shortcut for situations in which you want to remove the filters on many, but not all, columns in a table. Removes all context filters in the table except filters that are applied to the specified columns. The second and third examples demonstrate this scenario. The ALL(Column) variant is useful when you want to remove the context filters for one or more specific columns and to keep all other context filters. All column arguments must come from the same table. Removes all filters from the specified columns in the table all other filters on other columns in the table still apply. The first example demonstrates this scenario. This function is useful when you are working with many levels of grouping, and want to create a calculation that creates a ratio of an aggregated value to the total value. In effect, ALL(Table) returns all of the values in the table, removing any filters from the context that otherwise might have been applied. Removes all filters from the specified table. ![]() ALL() can only be used to clear filters but not to return a table. The following table describes how you can use the ALL and ALLEXCEPT functions in different scenarios. To learn more about auto-exist and its effect on calculations, see Microsoft MVP Alberto Ferrari's Understanding DAX Auto-Exist article on sql.bi.com. Because of this merge, the measure will be calculated on the existing combinations of values and the result will be based on filtered values instead of all values as expected. In this case, auto-exist will merge the multiple filters into one and will only filter on existing combinations of values. An example where auto-exist and ALL() provide unexpected results is when filtering on two or more columns of the same table (like when using slicers), and there is a measure on that same table that uses ALL(). However, there are some scenarios where this is not the case because of auto-exist, a DAX technology that optimizes filtering in order to reduce the amount of processing required for certain DAX queries. The normal behavior for DAX expressions containing the ALL() function is that any filters applied will be ignored. This function is not used by itself, but serves as an intermediate function that can be used to change the set of results over which some other calculation is performed. The table or column with filters removed. You cannot use table expressions or column expressions with the ALL function. The argument to the ALL function must be either a reference to a base table or a reference to a base column. The column that you want to clear filters on. The table that you want to clear filters on. This function is useful for clearing filters and creating calculations on all the rows in a table. Returns all the rows in a table, or all the values in a column, ignoring any filters that might have been applied.
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