The inefficiency of the query mostly comes from transfering a lot of data you do not actually use: the fields hierarchy.level1name, hierarchy.level0name, hierarchy.level1, date.date, address.city, user.emailAddress, foo_object.name, foo_object.type, user_group.groupId
are not included in GROUP BY
clause, which means that the information is retrieved for each row, loaded in memory and then just discarded.
What I would recommend is to concentrate retrieving of all sufficient ids and aggregation results in a subquery and then join to the rest of the tables, so that each join would produce not more than a single row (you can even move the LIMIT
clause in the subquery to minimize the required subsequent JOIN operations). After that, you may discover, that you do not have some useful indexes.