I'm having an issue with query performance between 2 different pgsql environments.
Ther first is our current production postgres server with is running 9.3.5 on Centos 5 x64. The second system is Amazon's RDS postgres as a service. On our local DB server we have a query that executes in a reasonable amount of time (600 msec). On RDS the query will run for more then 10 minutes on a similarly CPU specced systems. I've been working through with Amazon support and I'm looking for more suggestions on where to look (both for me and to direct Amazon). The RDS system does use a network filesystem while our production server is a local RAID10 array, I can see that effecting the actual performance of the query but not the query planner costing (unless there's an input to query planner costing that I can't find)
The Query plan costs generated by the 2 systems are vastly different, while the plans themselves are basically identical other then the materialization that RDS is doing (if I disable the materialization then they are almost the same other then a seq scan/heap scan on one small <2000 row table). All the tables in the query have been analyzed on each server without any impact
I have validated that all the query planning configuration variables on this page http://www.postgresql.org/docs/9.3/static/runtime-config-query.html are the same between the 2 environments. If I modify the local production system values for things like random_page_cost and seq_page_cost to absurd values like 60000 I can get it to generate a similar planner cost. Similarly if I lower the RDS values to absurdly low values like .00000001 I can get it to generate a similarly costed plan (while still performing horridly).
I've reached the end of things I can think about (I'm also working on rewriting the query but it's a generated query out of a infrastructure component so it's not a simple change).
Just looking for any ideas on additional things to look into.
