From: | Oliver Jowett <oliver(at)opencloud(dot)com> |
---|---|
To: | Paul van den Bogaard <Paul(dot)Vandenbogaard(at)Sun(dot)COM> |
Cc: | Kris Jurka <books(at)ejurka(dot)com>, Dave Cramer <pg(at)fastcrypt(dot)com>, Josh Berkus <josh(at)agliodbs(dot)com>, Heikki Linnakangas <heikki(at)enterprisedb(dot)com>, pgsql-jdbc(at)postgresql(dot)org |
Subject: | Re: Caching driver on pgFoundry? |
Date: | 2007-09-06 09:40:34 |
Message-ID: | 46DFCB12.4080605@opencloud.com |
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Lists: | pgsql-jdbc |
Paul van den Bogaard wrote:
> For the ones you
> describe could it be that the dbase layer is just storage and not part
> of the (critical) performance path?
Right, in our case we keep all state in memory as the primary
representation (and maybe replicated across a cluster) and some specific
state is also asynchronously written to disk via a RDBMS so that it
survives a cluster restart. Performance of the write-back step is still
important as it affects things like our MTTR from a complete
database+cluster failure, but it does not directly affect the call
throughput / latency.
> If the database related work is critical in performance/throughput than
> caching is a welcome technology.
Well no not necessarily because *statement caching does nothing that you
can't do directly in your application anyway*. For example in our case
we would get no additional benefit from statement caching because we (as
a JDBC client) already hold on to statement objects that we know we're
going to reuse, i.e. we're already doing our own caching, and smarter
than a generic layer can do because we have better knowledge of how we
use our queries.
Statement caching is really a "go faster" switch when you don't want to
(or cannot) optimize the application code, or where the exact query
strings are unpredictable. But again it's not something that *has* to be
implemented in the driver, as far as I can tell there's nothing there
that can't be done by a layer between the client and the real driver.
-O
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