Re: Don't Thread On Me (PostgreSQL related)

From: Chris Travers <chris(dot)travers(at)gmail(dot)com>
To: pgsql-general(at)postgresql(dot)org
Subject: Re: Don't Thread On Me (PostgreSQL related)
Date: 2012-01-26 23:32:26
Message-ID: CAKt_ZfvBd9-_NmZr0gua6nt4xmcDAzmP-PQ_uFBWC_JMgqBU3A@mail.gmail.com
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On Thu, Jan 26, 2012 at 3:02 PM, Merlin Moncure <mmoncure(at)gmail(dot)com> wrote:

> On Thu, Jan 26, 2012 at 3:52 PM, Rodrigo E. De León Plicet
> <rdeleonp(at)gmail(dot)com> wrote:
> > Quote:
> >
> > ======================================================================
> >
> > This thread
> >
> >
> http://postgresql.1045698.n5.nabble.com/Multithread-Query-Planner-td5143643.html
> >
> > was mentioned in a performance sub-group posting. Give it a read.
> >
> > Back? It means, so far as I can see, that PG is toast. It will fall
> > down to being the cheap and dirty alternative to MySql, which even
> > has, at least two, multi-threaded engines. DB2 switched it's *nix
> > engine to threads from processes with release 9.5. Oracle claims it
> > for releases going back to 7 (I haven't tried to determine which parts
> > or applications; Larry has bought so many tchochtkes over the
> > years...). SQL Server is threaded.
> >
> > Given that cpu's are breeding threads faster than cores,
> > PG will fall into irrelevance.
>
> The author of that post apparently doesn't understand that even though
> postgresql hasn't 'switched to threads', it can still do more than one
> thing at once. Each process is itself an execution thread. A
> multi-threaded query planner is perfectly possible in postgresql
> architecture -- however each one must reside in it's own process and
> you have to use shared memory instead instead of pthreads and locking.
> Big whoop. The only thing at stake with a multi threaded planner is
> optimizing single user tasks which is, while important, a niche
> optimization. PostgreSQL is for more scalable than mysql for
> multi-user loads and the gap is increasing.
>
>
> There are cases where intraquery parallelism would be helpful. As far as
I understand it, PostgreSQL is the only major, solid (i.e. excluding MySQL)
RDBMS which does not offer some sort of intraquery parallelism, and when
running queries across very large databases, it might be helpful to be able
to, say, scan different partitions simultaneously using different threads.
So I think it is wrong to simply dismiss the need out of hand. The thing
though is that I am not sure that where this need really comes to the fore,
it is typical of single-server instances, and so this brings me to the
bigger question.

The question in my mind though is a more basic one: How should intraquery
parallelism be handled? Is it something PostgreSQL needs to do or is it
something that should be the work of an external project like Postgres-XC?
Down the road is there value in merging the codebases, perhaps making
stand-alone/data/coordination node a compile time option?

Obviously such is not a question that needs to be addressed now. We can
wait until someone has something that is production-ready and relatively
feature-complete before discussing merging projects.

Best Wishes,
Chris Travers

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