Il 14/02/2011 21:00, Allan Kamau ha scritto:
On Mon, Feb 14, 2011 at 10:38 AM, Alessandro Candini<candini@xxxxxxx> wrote:
No, this database is on a single machine, but a very powerful one.
Processors with 16 cores each and ssd disks.
I already use partitioning and tablespaces for every instance of my db and I
gain a lot with my splitted configuration.
My db is pretty huge: 600 milions of records and partitioning is not
enough...
I performed tests with a query returning more or less 100000 records and
using my C module I obtain the following results (every test performed
cleaning cache before):
- single db: 9.555 sec
- splitted in 4: 5.496 sec
So I think this can be a good approach...
I have already read this
http://www.postgresql.org/docs/9.0/interactive/xfunc-c.html
I posted it in my previous thread. But it is not clear to me how to embed my
C function into postgresql.
I mean, I know how to compile and insert it into postgresql, I've already
done it for simple function which return a boolean, for example.
But it is not clear to me how to do this if I want as return a complete
table, or set of rows...
Can you give me a minimalistic example?
By the way, my goal is to perform a SELECT query in the smallest time
possible.
For that reason an SQL function is not good beacuse slower than a C
function...
Thank you!
On 10 Feb 2011, at 9:01, Alessandro Candini wrote:
I have installed 4 different instances of postgresql-9.0.2 on the same
machine, on ports 5433, 5434, 5435, 5436.
I do hope you intend to put those databases on different machines
eventually, or some such? Otherwise you probably didn't gain anything by
splitting your database up like that - you've just reduced the available
resources on that single machine.
Why I have to do something tricky like this is long too explain...
It would help to know what you're trying to achieve by splitting your
database up like this. We don't need the full story, just a summary is fine;
Maybe this is some experimental setup that's more related to multi-threading
than to the actual database design? Maybe management smoked something
outlandish and put you up with this? Maybe this is a macroscopic attempt to
table partitioning?
Then I have developed a C function using libpq which creates 4 threads,
each one which query a 1/4 of the db. After that I merge the results in one
single response.
My function works fine, but I need to include it inside a postgresql
instance in order to launch it as a normal SQL query (SELECT myfunc(...);).
I have read the documentation here
http://www.postgresql.org/docs/9.0/static/xfunc-sql.html#XFUNC-SQL-FUNCTIONS-RETURNING-SET,
but I'm pretty confuse and I don't know if this is the right way to
accomplish my goal.
What are you confused about? That's a chapter about set-returning
functions written in SQL - perhaps you're looking for information about
set-returning functions from an external library like yours? Perhaps you're
looking for: http://www.postgresql.org/docs/9.0/interactive/xfunc-c.html
You say you don't know if this is the right way to accomplish your goal -
which is...?
Have you got any ideas or suggestions?
As others have suggested, you should probably have a look at
table-partitioning, possibly in combination with tablespaces if you want to
divide your database among multiple disks/filesystems. Putting them in
different servers on the same hardware is probably not going to be a very
good solution. As you've already found out, it makes querying the data silly
difficult. But, we don't know the reason you're doing that of course.
Alban Hertroys
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cut the trees and you'll see there is no forest.
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Alessandro Candini
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Could it be that your single instance PostgreSQL seems slow because a
query can only use one process(or), and in your case you could be
maxing out the bandwidth of a single core. And the multi-instance
implementation is "faster" simply because of simultaneous queries
using one core per query and hence more bandwidth in total.
Now depending on the situation you are trying to solve, the simple
test you've present may not perform very well in a real situation for
example.
1)If you intend to perform single client, single user, single query
then you may want to formulating a series of queries each different
from another by some value (range) in its where clause then run these
queries in parallel then merge the results somehow. I think this setup
will still be faster than the multi-instance setup.
2)If such large queries will be run simultaneous hence the use of
several CPU cores, the single instance will again most likely
outperform the multi-instance setup.
Try simulating your situation my writing some threaded client and
seeing the performance.
Allan.
Writing a threaded client?!
But it is exactly what I did!
Is there a postgresql forum? Using a mailing list is so frustrating...
--
Alessandro Candini
MEEO S.r.l.
Via Saragat 9
I-44122 Ferrara, Italy
Tel: +39 0532 1861501
Fax: +39 0532 1861637
http://www.meeo.it
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