Re: Equivalents in PostgreSQL of MySQL's "ENGINE=MEMORY" "MAX_ROWS=1000" - Mailing list pgsql-performance

From Arnau
Subject Re: Equivalents in PostgreSQL of MySQL's "ENGINE=MEMORY" "MAX_ROWS=1000"
Date
Msg-id 46139132.8000807@andromeiberica.com
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In response to Re: Equivalents in PostgreSQL of MySQL's "ENGINE=MEMORY" "MAX_ROWS=1000"  (Ansgar -59cobalt- Wiechers <lists@planetcobalt.net>)
Responses Re: Equivalents in PostgreSQL of MySQL's "ENGINE=MEMORY" "MAX_ROWS=1000"
List pgsql-performance
Hi Ansgar ,

> On 2007-04-04 Arnau wrote:
>> Josh Berkus wrote:
>>>> Is there anything similar in PostgreSQL? The idea behind this is how
>>>> I can do in PostgreSQL to have tables where I can query on them very
>>>> often something like every few seconds and get results very fast
>>>> without overloading the postmaster.
>>> If you're only querying the tables every few seconds, then you don't
>>> really need to worry about performance.
>> Well, the idea behind this is to have events tables, and a monitoring
>> system polls that table every few seconds.  I'd like to have a kind of
>> FIFO stack. From "the events producer" point of view he'll be pushing
>> rows into that table, when it's filled the oldest one will be removed
>> to leave room to the newest one. From "the consumer" point of view
>> he'll read all the contents of that table.
>>
>> So I'll not only querying the tables, I'll need to also modify that
>> tables.
>
> Ummm... this may be a dumb question, but why are you trying to implement
> something like a FIFO with an RDBMS in the first place? Wouldn't it be
> much easier to implement something like that as a separate program or
> script?

Well, the idea is have a table with a maximum number of rows. As the
number of queries over this table will be very high, I'd like to keep it
as small as possible and without indexes and so on that could make the
update slower.

Maybe it's the moment to change my question, is there any trick to get a
table that can be modified/queried very fast and with the minimum of
overhead? This table will have several queries every second and I'd like
to do this as fast as possible

Thanks
--
Arnau

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