> I use Postgresql 8.3.1-1 to store a lot of data coming from a large amount
> of sensors. In order to have good performances on querying by timestamp on
> each sensor, I partitionned my measures table for each sensor. Thus I create
> a lot of tables.
> I simulated a large sensor network with 3000 nodes so I have ~3000 tables.
> And it appears that each insert (in separate transactions) in the database
> takes about 300ms (3-4 insert per second) in tables where there is just few
> tuples (< 10). I think you can understand that it's not efficient at all
> because I need to treat a lot of inserts.
>
> Do you have any idea why it is that slow ? and how can have good insert ?
>
> My test machine: Intel p4 2.4ghz, 512mb ram, Ubuntu Server (ext3)
> iostat tells me that I do : 0.5MB/s reading and ~6-7MB/s writing while
> constant insert
Have you checked what you are bottlenecking on - CPU or disk? Try
iostat/top/etc during the inserts. Also check actual disk utilizatio
(iostat -x on linux/freebsd; varies on others) to see what percentage
of time the disk/storage device is busy.
You say you have 3-4 inserts/second causing 6-7 MB/s writing. That
suggests to me the inserts are fairly large. Are they in the MB range,
which would account for the I/O?
My suspicion is that you are bottlenecking on CPU, since in my
experience there is definitely something surprisingly slow about
encoding/decoding data at the protocol level or somewhere else that is
involved in backend/client communication. I.e, I suspect your client
and/or server is spending a lot of CPU time with things not directly
related to the actual table inserts. If so, various suggested schemes
w.r.t. indexing, table bloat etc won't help at all.
In short, 6-7 MB/second would be fairly consistent with INSERT/COPY
operations being CPU bound on a modern CPU, in my experience. It may
be that this is entirely untrue in your case, but it sounds like a
reasonable thing to at least consider.
--
/ Peter Schuller
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