A query cluster is a group of queries that have the same or similar logical structure. The queries have enough in common that they could be considered the "Same". For example:
Even when queries are not the same, they might have significant overlap and commonality. For Bluesky's objective, sameness is measured by how much overlap is there in use of compute, logic and data resources, with an eye for finding ways to make queries run faster and cheaper. Advanced pattern matching undercovers significant but non-obvious trends in the complete volume of customers' queries to target optimization