"Brad Might" <bmight@storediq.com> writes:
> This seems to me to be an expensive plan and I'm wondering if there's a
> way to improve it or a better way to do what I'm trying to do here (get
> a count of distinct values for each record_id and map that value to the
> entity type) entity_type_id_mapping is 56 rows
> volume_node_entity_data_values is approx 500,000,000 rows vq_record_id
> has approx 11,000,000 different values vq_entity_type is a value in
> entity_type_id_mapping.entity_type
Hmm, what Postgres version is that? And have you ANALYZEd
entity_type_id_mapping lately? I'd expect the planner to realize that
there cannot be more than 56 output groups, which ought to lead it to
prefer a hashed aggregate over the sort+group method. That's what I
get in a test case with a similar query structure, anyway.
If you're stuck on an old PG version, it might help to do the
aggregation first and then join, ie
select ... from
(select count(vq_entity_value) as vcount, vq_entity_type
from data_schema.volume_queue_entities group by vq_entity_type) qe,
volume_8.entity_type_id_mapping emap
where qe.vq_entity_type = emap.entity_type;
regards, tom lane
