Re: Partitioning

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BTW, someone coming up with a set of functions to handle partitioning
for the general 'partition by time' case would make a GREAT project on
pgFoundry.

On Fri, Jan 05, 2007 at 12:47:08PM +0100, Mikael Carneholm wrote:
> Take a look at the set of partitioning functions I wrote shortly after
> the 8.1 release:
> 
> http://www.studenter.hb.se/~arch/files/part_functions.sql
> 
> You could probably work something out using those functions (as-is, or
> as inspiration) together with pgAgent
> (http://www.pgadmin.org/docs/1.4/pgagent.html)
> 
> /Mikael
> 
> > -----Original Message-----
> > From: pgsql-performance-owner@xxxxxxxxxxxxxx
> [mailto:pgsql-performance-
> > owner@xxxxxxxxxxxxxx] On Behalf Of Arnau
> > Sent: den 5 januari 2007 12:02
> > To: pgsql-performance@xxxxxxxxxxxxxx
> > Subject: [PERFORM] Partitioning
> > 
> > Hi all,
> > 
> >    I'm not sure if this question fits in the topic of this list.
> > 
> >    I'm interested in partitioning and it's the first time I'd use it.
> > There is an issue I don't know how you handle it. Lets say I'm
> > interested in store monthly based statistical data like the example of
> > http://www.postgresql.org/docs/8.2/static/ddl-partitioning.html. What
> I
> > don't like of this approach is that the monthly tables, rules... must
> be
> > created "manually" or at least I haven't found any other option.
> > 
> >    My question is how do you manage this? do you have a cron task that
> > creates automatically these monthly elements (tables, rules, ... ) or
> > there is another approach that doesn't require external things like
> cron
> >   only PostgreSQL.
> > --
> > Arnau
> > 
> > ---------------------------(end of
> broadcast)---------------------------
> > TIP 5: don't forget to increase your free space map settings
> 
> 
> ---------------------------(end of broadcast)---------------------------
> TIP 9: In versions below 8.0, the planner will ignore your desire to
>        choose an index scan if your joining column's datatypes do not
>        match
> 

-- 
Jim Nasby                                            jim@xxxxxxxxx
EnterpriseDB      http://enterprisedb.com      512.569.9461 (cell)


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