Re: Better, consistent instrumentation for postgreSQL using a similar API as Oracle

From: Tim <timfosho(at)gmail(dot)com>
To: pgsql-performance(at)lists(dot)postgresql(dot)org
Subject: Re: Better, consistent instrumentation for postgreSQL using a similar API as Oracle
Date: 2021-10-06 00:02:30
Message-ID: CAKhLO5g5ARCm0m94azr2V+o+GGsuEgAn3tXEG19cKGtO0Le5LA@mail.gmail.com
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Jeff Holt is probably pretty embarrassed there's some blowhard making a
scene using his name in a casual mailing list thread.

On Tue, Oct 5, 2021 at 5:28 PM Mladen Gogala <gogala(dot)mladen(at)gmail(dot)com>
wrote:

> Comments in-line
>
> On 10/5/21 16:24, Peter Geoghegan wrote:
> > On Fri, Oct 1, 2021 at 1:06 PM Jeff Holt <jeff(dot)holt(at)method-r(dot)com> wrote:
> >> Now looking closely at postgreSQL, I see an opportunity to more quickly
> implement Oracle's current feature list.
> >>
> >> I've come to this point because I see many roadblocks for users who
> want to see a detailed "receipt" for their response time.
> > I have heard of method R. Offhand it seems roughly comparable to
> > something like the Top-down Microarchitecture Analysis Method that low
> > level systems programmers sometimes use, along with Intel's pmu-tools
> > -- at least at a very high level. The point seems to be to provide a
> > workflow that can plausibly zero in on low-level bottlenecks, by
> > providing high level context. Many tricky real world problems are in
> > some sense a high level problem that is disguised as a low level
> > problem. And so all of the pieces need to be present on the board, so
> > to speak.
> >
> > Does that sound accurate?
> Yes, that is pretty accurate. It is essentially the same method
> described in the "High Performance Computing" books. The trick is to
> figure what the process is waiting for and then reduce the wait times.
> All computers wait at the same speed.
> > One obvious issue with much of the Postgres instrumentation is that it
> > makes it hard to see how things change over time. I think that that is
> > often *way* more informative than static snapshots.
> >
> > I can see why you'd emphasize the need for PostgreSQL to more or less
> > own the end to end experience for something like this. It doesn't
> > necessarily follow that the underlying implementation cannot make use
> > of infrastructure like eBPF, though. Fast user space probes provably
> > have no overhead, and can be compiled-in by distros that can support
> > it. There hasn't been a consistent effort to make that stuff
> > available, but I doubt that that tells us much about what is possible.
> > The probes that we have today are somewhat of a grab-bag, that aren't
> > particularly useful -- so it's a chicken-and-egg thing.
>
> Not exactly. There already is a very good extension for Postgres called
> pg_wait_sampling:
>
> https://github.com/postgrespro/pg_wait_sampling
>
> What is missing here is mostly the documentation. This extension should
> become a part of Postgres proper and the events should be documented as
> they are (mostly) documented for Oracle. Oracle uses trace files
> instead. However, with Postgres equivalence of files and tables, this is
> not a big difference.
>
>
> >
> > It would probably be helpful if you could describe what you feel is
> > missing in more general terms -- while perhaps giving specific
> > practical examples of specific scenarios that give us some sense of
> > what the strengths of the model are. ISTM that it's not so much a lack
> > of automation in PostgreSQL. It's more like a lack of a generalized
> > model, which includes automation, but also some high level top-down
> > theory.
>
> I am not Jeff and my opinion is not as valuable and doesn't carry the
> same weight, by far. However, I do believe that we may not see Jeff Holt
> again on this group so I am providing my opinion instead. At least I
> would, in Jeff's place, be reluctant to return to this group.
>
>
> --
> Mladen Gogala
> Database Consultant
> Tel: (347) 321-1217
> https://dbwhisperer.wordpress.com
>
>
>
>

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