2010/12/21 Michael Ben-Nes <michael@epoch.co.il>:
> Hi Pavel,
>
> Thanks for your quick answer. Can you please elaborate a bit more about the
> points bellow.
>
> On Tue, Dec 21, 2010 at 1:31 PM, Pavel Stehule <pavel.stehule@gmail.com>
> wrote:
>>
>> Hello
>>
>> you can emulate it now.
>>
>> a) try to do a simple stored procedure, where you can wrap your query
>
> Do you mean I should use PREPARE?
yes
>
>> b) use a FAST CALL API to call this procedure
>
> Currently I use PHP to access the DB which use libpq. Is that cosidered a
> fast call API ? if not, can you please refer me to the right info.
>
>>
sorry it is a fast-path interface
http://www.postgresql.org/docs/8.1/static/libpq-fastpath.html
but php hasn't a adequate API :(
>> c) use a some pool tool for pooling and persisting sessions
>
> PHP pg_pconnect command open a persistent PostgreSQL connection. Is it
> enough or I better use PgPool2 or something similar?
>
probably it's enough
>
> Considering the points above, will I be able to get such high QPS from
> PostgreSQL ? If so, it will be my pleasure to dump Reddis and work solely
> with PG :)
>
There is a lot of unknown factors, but I believe so speed is limited
by IO more than by sw. The PostgreSQL engine isn't specially optimised
for access with primary key (InnoDB has this optimization, PostgreSQL
hasn't clustered index) , so probably Pg will be slower.
Regards
Pavel Stehule
>
> Thanks,
> Miki
>
>>
>> Regards
>>
>> Pavel Stehule
>>
>> 2010/12/21 Michael Ben-Nes <michael@epoch.co.il>:
>> > Hi,
>> >
>> > Just stumbled on the following post:
>> >
>> > http://yoshinorimatsunobu.blogspot.com/2010/10/using-mysql-as-nosql-story-for.html
>> >
>> > The post claim that MySQL can do more qps then MemCahed or any other
>> > NoSQL
>> > when doing simple queries like: SELECT * FROM table WHERE id=num;
>> >
>> > And I wonder if:
>> >
>> > 1. Currently, is it possbile to achive the same using PG 9.0.x
>> > 2. Is it possible at all?
>> >
>> > It seems to me that if such gain is possible, PG should benefit from
>> > that
>> > significantly when it comes to Key/Value queries.
>> >
>> >
>> > Best,
>> > Miki
>> >
>> >
>
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