On 2012-12-20 09:11:46 -0500, Robert Haas wrote:
> On Thu, Dec 20, 2012 at 8:55 AM, Simon Riggs <simon(at)2ndquadrant(dot)com> wrote:
> > On 18 December 2012 22:10, Robert Haas <robertmhaas(at)gmail(dot)com> wrote:
> >> Well that would be nice, but the problem is that I see no way to
> >> implement it. If, with a unified parser, the parser is 14% of our
> >> source code, then splitting it in two will probably crank that number
> >> up well over 20%, because there will be duplication between the two.
> >> That seems double-plus un-good.
> > I don't think the size of the parser binary is that relevant. What is
> > relevant is how much of that is regularly accessed.
> > Increasing parser cache misses for DDL and increasing size of binary
> > overall are acceptable costs if we are able to swap out the unneeded
> > areas and significantly reduce the cache misses on the well travelled
> > portions of the parser.
> I generally agree. We don't want to bloat the size of the parser with
> wild abandon, but yeah if we can reduce the cache misses on the
> well-travelled portions that seems like it ought to help. My previous
> hacky attempt to quantify the potential benefit in this area was:
> On my machine there seemed to be a small but consistent win; on a very
> old box Jeff Janes tried, it didn't seem like there was any benefit at
> all. Somehow, I have a feeling we're missing a trick here.
I don't think you will see too many cache misses on such a low number of
extremly simply statements, so its not too surprising not to see a that
big difference with that.
Are we sure its really cache-misses and not just the actions performed
in the grammar that make bison code show up in profiles? I remember the
latter being the case...
Andres Freund http://www.2ndQuadrant.com/
PostgreSQL Development, 24x7 Support, Training & Services
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