Postgres DISK IO very high. What can I do to reduce it immediately?
I'm aware faster disks than what I'm using will help but this will take longer to put in and I am trying to use some emergency measures to decrease disk IO. atop is reporting DSK usage on the red almost constantly. This is for postgres 8.3.
My shared_buffers setting is at 24MB though the server has 16GB of ram which are not fully utilized. My first thought was to give the database as much ram as it could take but I'm not sure how to do that (this is a dedicated database server).
Any solution that does not require a restart is preferable but I'll take what i can get at this point.
Thanks!
The 24MB shared_buffers setting is the conservative default, I'd say it needs to be quite a lot higher for a dedicated database with 16GB of RAM available. But yes, you'll have to restart the server to resize it. http://wiki.postgresql.org/wiki/Performance_Optimization is a good place to start for performance configuration guidelines. Setting the shared_buffers to 4GB or 6GB would seem more reasonable.
Note that on linux you need to adjust the kernel.shmmax sysctl setting (in /etc/sysctl.conf or just by writing /proc/sys/kernel/shmmax) to allocate a block of this much shared memory. If you don't you'll get an error specifying how much was requested, you have to set kernel.shmmax higher than that.
Since you have lots of memory, you might also consider setting the default work_mem higher, which will make things like sorts and hashes (group/order/distinct etc) tend to work in memory rather than using temp files. You don't need to restart the server to do this, just update the config file, reload the service and new sessions will get the new setting. The default work memory for a session is 1MB, you can calculate the maximum that may be used at a single time as work_mem * max_client_connections
and estimate what impact that will have.
You should also increase effective_cache_size to indicate to the planner that the kernel FS layer is likely to be caching a lot of pages in memory outside of postgresql's shared buffers.
etc. etc. hope this gets you off to a good start.
Remount the disks with noatime
Aside from the suggestions given here, you might also want to look into your auto vaccum settings. By default it will trigger after around 50 updates and if your database is doing a lot of updates / inserts this can trigger an unnecessary amount of vacuum statements which will generate a lot of IO.
On a system that's very close to maximum I/O throughput during normal operation, you might want to increase checkpoint_completion_target to reduce the I/O load from checkpoints. The disadvantage of this is that prolonging checkpoints affects recovery time, because more WAL segments will need to be kept around for possible use in recovery
See more here.