Re: High concurrency OLTP database performance tuning - Mailing list pgsql-performance

It will be very important to determine if as performance degrades you
are either i/o bound, cpu bound or hindered by some other contention
(db locks, context switching, etc).

Try turning on statement duration logging for all statments or "slow"
statments (like those over 100ms or some arbitrary threshold). Either
eyeball or write a script to see which statement(s) are frequently
slowest. This can greatly aid in tuning.

You say the db is write intensive. In what way, inserts or updates?
The former tend to be much cheaper than the latter. If the latter are
things being adequately vacuumed? loss of dead tuple space can really
hurt performance. If you have lots of concurrent writes, commit_delay/
commit_siblings can help, as can increasing checkpoint_segments
further. I see you have fsync off, are you feeling lucky? ;^)

If you are i/o bound see what the disks are doing. How fast are they
reading/writing? How close are they to their max throughput?
Typically I find the disks are nowhere near that due to excessive
seeking. If that's the case you can typically only fix it by putting
more of the DB in RAM -- buy more RAM, crank up shared_buffers I
would say double what you have it, maybe more (much more with 8.1),
or by arranging the data better on disk (clustering, denormalizing
data, putting tables and indices on different disks, etc).

-Casey


On Aug 31, 2006, at 8:45 AM, Cosimo Streppone wrote:

> Good morning,
>
> I'd like to ask you some advice on pg tuning in a high
> concurrency OLTP-like environment.
> The application I'm talking about is running on Pg 8.0.1.
> Under average users load, iostat and vmstat show that iowait stays
> well under 1%. Tables and indexes scan and seek times are also good.
> I can be reasonably sure that disk I/O is not the *main* bottleneck
> here.
>
> These OLTP transactions are composed each of 50-1000+ small
> queries, on
> single tables or 2/3 joined tables. Write operations are very
> frequent,
> and done concurrently by many users on the same data.
>
> Often there are also queries which involve record lookups like:
>
>   SELECT DISTINCT rowid2 FROM table
>   WHERE rowid1    IN (<long_list_of_numerical_ids>) OR
>         refrowid1 IN (<long_list_of_numerical_ids>)
>
> These files are structured with rowid fields which link
> other external tables, and the links are fairly complex to follow.
> SQL queries and indexes have been carefully(?) built and tested,
> each with its own "explain analyze".
>
> The problem is that under peak load, when n. of concurrent
> transactions
> raises, there is a sensible performance degradation.
> I'm looking for tuning ideas/tests. I plan to concentrate,
> in priority order, on:
>
> - postgresql.conf, especially:
>      effective_cache_size (now 5000)
>      bgwriter_delay (500)
>      commit_delay/commit_siblings (default)
> - start to use tablespaces for most intensive tables
> - analyze the locks situation while queries run
> - upgrade to 8.1.n
> - convert db partition filesystem to ext2/xfs?
>   (now ext3+noatime+data=writeback)
> - ???
>
> Server specs:
>    2 x P4 Xeon 2.8 Ghz
>    4 Gb RAM
>    LSI Logic SCSI 2x U320 controller
>     6 disks in raid 1 for os, /var, WAL
>    14 disks in raid 10 for db on FC connected storage
>
> Current config is now (the rest is like the default):
>   max_connections = 100
>   shared_buffers = 8192
>   work_mem = 8192
>   maintenance_work_mem = 262144
>   max_fsm_pages = 200000
>   max_fsm_relations = 1000
>   bgwriter_delay = 500
>   fsync = false
>   wal_buffers = 256
>   checkpoint_segments = 32
>   effective_cache_size = 5000
>   random_page_cost = 2
>
> Thanks for your ideas...
>
> --
> Cosimo
>
>
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