Boolean Aggregate Functions

4 functions for boolean aggregation. Unlike the other categories, these operate across a group of rows (used within an Aggregate node) rather than transforming a single row's column value.

Requires Spark 3.0 or later.

Function	Syntax	Parameters	Notes
`every`	`every(column)`	None.	True if all rows in the group are true.
`some`	`some(column)`	None.	True if any row in the group is true.
`count_if`	`count_if(column)`	None.	Counts rows in the group where the condition column is true.
`any_value`	`any_value(column)`	None.	Returns an arbitrary (non-deterministic) value from the group.