On Thu, Dec 27, 2007 at 01:14:25PM +0000, Gregory Stark wrote:
> "Jared Mauch" <jared@xxxxxxxxxxxxxxx> writes:
>
> > pg_dump is utilizing about 13% of the cpu and the
> > corresponding postgres backend is at 100% cpu time.
> > (multi-core, multi-cpu, lotsa ram, super-fast disk).
> >...
> > pg8.3(beta) with the following variances from default
> >
> > checkpoint_segments = 300 # in logfile segments, min 1, 16MB each
> > effective_cache_size = 512MB # typically 8KB each
> > wal_buffers = 128MB # min 4, 8KB each
> > shared_buffers = 128MB # min 16, at least max_connections*2, 8KB each
> > work_mem = 512MB # min 64, size in KB
>
> Fwiw those are pretty unusual numbers. Normally work_mem is much smaller than
> shared_buffers since you only need one block of memory for shared buffers and
> work_mem is for every query (and every sort within those queries). If you have
> ten queries running two sorts each this setting of work_mem could consume 5GB.
I'd still have lots of ram left :)
I'm dealing with normal query results that end up matching 5-10 million
rows based on the index (starttime) not counting the filter afterwards. Each
backend rarely makes it over 256m.
> Raising shared buffers could improve your pg_dump speed. If all the data is in
> cache it would reduce the time spend moving data between filesystem cache and
> postgres shared buffers.
I doubt it's all in cache, but I can look at this. I did not do a
lot of fine tuning of numbers, just enough to get past the defaults and have
an acceptable amount of performance.
> What made you raise wal_buffers so high? I don't think it hurts but that's a
> few orders of magnitude higher than what I would expect to help.
I'm adding chunks of ~1.2m rows every other minute. Once I increase
my data collection pool, this will go up to around [1]2-3m rows or so. I
found having higher wal and checkpoint helped. I didn't spend a lot of time
tweaking these options. Is there some way you know to determine high
watermark numbers for what is being used?
- Jared
[1] - I am concerned that with my 'insert' speed being around 100k/sec
and raw pg_dump speed being around 182k/sec i will start getting data
faster than can be stored and postprocessed.
--
Jared Mauch | pgp key available via finger from jared@xxxxxxxxxxxxxxx
clue++; | http://puck.nether.net/~jared/ My statements are only mine.
---------------------------(end of broadcast)---------------------------
TIP 9: In versions below 8.0, the planner will ignore your desire to
choose an index scan if your joining column's datatypes do not
match
