On Mar 18, 2011, at 12:34 PM, Nicholson, Brad (Toronto, ON, CA) wrote: >>> b) its own postgresql processes (many of them) running in memory >> >> I believe this is entirely a function of client connections. > > With a single instance, you can use connection pooling to reduce the overall number of backend connections which will reduce your memory footprint. Er, right, for some reason I was thinking I could use connection pooling against multiple clusters, but now that I think about it that doesn't make much sense, does it? >> >>> c) its own shared_buffers in memory. >> >> Given that each application will be independent, I don't see a >> different between clusters and schemas here either. > > The difference is that in a single cluster, a single instance is going to make decisions about what data to cache or not. This is an overly simplified example - but illustrates the point. Say you have 4GB of RAM available to dedicate to a shared buffers on a server, and two databases (DB A and DB B) to run. You either set up a single instance with a 4GB pool, or two instances with 2GB pools each. Let's say that DB A gets really busy, and DB B is not. In the shared instance approach, the instance can evict buffers cached for DB B in order to load buffers needed for DB A. In the split instance, you can't. Ah, that's an illustrative example. Thanks. OK, so are there any good ways to keep a bad/clueless user from gumming up a whole cluster? Something like statement_timeout, but for transactions, seems like it would be idle. -- Sent via pgsql-general mailing list (pgsql-general@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-general
