Ühel kenal päeval, T, 2006-10-24 kell 22:57, kirjutas Bruce Momjian:
> I don't think the PostgreSQL documentation should be mentioning
> commercial solutions.
IMNSHO, having commercial solutions based on postgresql which extend
postgres in directions not (yet?) done by core postgres is nothing to be
ashamed of.
And we should at least mention the OSS version of Bizgres as a place
where quite a lot of initial development is done on performance
improvements considered too risky for mainline postgresql.
And if you need a more technical reason, you can use free libpq and psql
to connect to even Bizgres MPP ;)
> ---------------------------------------------------------------------------
>
> Luke Lonergan wrote:
> > Bruce,
> >
> > > -----Original Message-----
> > > From: pgsql-hackers-owner@postgresql.org
> > > [mailto:pgsql-hackers-owner@postgresql.org] On Behalf Of Bruce Momjian
> > > Sent: Tuesday, October 24, 2006 5:16 PM
> > > To: Hannu Krosing
> > > Cc: PostgreSQL-documentation; PostgreSQL-development
> > > Subject: Re: [HACKERS] Replication documentation addition
> > >
> > >
> > > OK, I have updated the URL. Please let me know how you like it.
> >
> > There's a typo on line 8, first paragraph:
> >
> > "perhaps with only one server allowing write rwork together at the same
> > time."
> >
> > Also, consider this wording of the last description:
> >
> > "Single-Query Clustering..."
> >
> > Replaced by:
> >
> > "Shared Nothing Clustering
> > -----------------------
> >
> > This allows multiple servers with separate disks to work together on a
> > each query.
> > In shared nothing clusters, the work of answering each query is
> > distributed among
> > the servers to increase the performance through parallelism. These
> > systems will
> > typically feature high availability by using other forms of replication
> > internally.
> >
> > While there are no open source options for this type of clustering,
> > there are several
> > commercial products available that implement this approach, making
> > PostgreSQL achieve
> > very high performance for multi-Terabyte business intelligence
> > databases."
> >
> > - Luke
>
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