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From: Ronan Dunklau <ronan.dunklau@aiven.io>
To: Julien Rouhaud <rjuju123@gmail.com>, David Rowley <dgrowleyml@gmail.com>,
 pgsql-hackers@lists.postgresql.org
Cc: Tomas Vondra <tomas.vondra@enterprisedb.com>,
 PostgreSQL Developers <pgsql-hackers@lists.postgresql.org>,
 Andres Freund <andres@anarazel.de>, Tomas Vondra <tv@fuzzy.cz>,
 Ronan Dunklau <ronan.dunklau@aiven.io>
Subject: Re: Use generation context to speed up tuplesorts
Date: Tue, 25 Jan 2022 13:34:23 +0100
Message-ID: <3470027.R56niFO833@aivenronan>
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Le jeudi 20 janvier 2022, 08:36:46 CET Ronan Dunklau a =E9crit :
> Le jeudi 20 janvier 2022, 02:31:15 CET David Rowley a =E9crit :
> > On Tue, 18 Jan 2022 at 19:45, Julien Rouhaud <rjuju123@gmail.com> wrote:
> > > I'm also a bit confused about which patch(es) should actually be
> > > reviewed
> > > in that thread.  My understanding is that the original patch might not
> > > be
> > > relevant anymore but I might be wrong.  The CF entry should probably =
be
> > > updated to clarify that, with an annotation/ title change / author
> > > update
> > > or something.
> > >=20
> > > In the meantime I will switch the entry to Waiting on Author.
> >=20
> > I think what's going on here is a bit confusing. There's quite a few
> > patches on here that aim to do very different things.
> >=20
> > The patch I originally proposed was just to make tuplesort use
> > generation memory contexts. This helps speed up tuplesort because
> > generation contexts allow palloc() to be faster than the standard
> > allocator. Additionally, there's no power-of-2 wastage with generation
> > contexts like there is with the standard allocator. This helps fit
> > more tuples on fewer CPU cache lines.
> >=20
> > I believe Andres then mentioned that the fixed block size for
> > generation contexts might become a problem. With the standard
> > allocator the actual size of the underlying malloc() grows up until a
> > maximum size.  With generation contexts this is always the same, so we
> > could end up with a very large number of blocks which means lots of
> > small mallocs which could end up slow.  Tomas then posted a series of
> > patches to address this.
> >=20
> > I then posted another patch that has the planner make a choice on the
> > size of the blocks to use for the generation context based on the
> > tuple width and number of tuple estimates. My hope there was to
> > improve performance further by making a better choice for how large to
> > make the blocks in the first place.  This reduces the need for Tomas'
> > patch, but does not eliminate the need for it.
> >=20
> > As of now, I still believe we'll need Tomas' patches to allow the
> > block size to grow up to a maximum size.  I think those patches are
> > likely needed before we think about making tuplesort use generation
> > contexts.  The reason I believe this is that we don't always have good
> > estimates for the number of tuples we're going to sort.  nodeSort.c is
> > fairly easy as it just fetches tuples once and then sorts them.  The
> > use of tuplesort for nodeIncrementalSort.c is much more complex as
> > we'll likely be performing a series of smaller sorts which are much
> > harder to get size estimates for. This means there's likely no magic
> > block size that we can use for the generation context that's used to
> > store the tuples in tuplesort.  This is also the case for order by
> > aggregates and probably most other usages of tuplesort.
>=20
> You left out the discussion I started about glibc's malloc specific
> behaviour.
>=20
> I tried to demonstrate that a big part of the performance gain you were
> seeing were not in fact due to our allocator by itself, but by the way
> different block sizes allocations interact with this malloc implementation
> and how it handles releasing memory back to the system. I also tried to
> show that we can give DBAs more control over how much memory to "waste" as
> the price for faster allocations.
>=20
> I agree that the generation context memory manager is useful in the
> tuplesort context, if only for the fact that we fall back to disk less
> quickly due to the reduced wastage of memory, but I would be wary of
> drawing conclusions too quickly based on a specific malloc implementation
> which shows threshold effects, which are compounded by our growing block
> sizes code in general.
>=20
> I have on my TODO list to run the same kind of benchmarks using jemalloc,=
 to
> better isolate the performance gains expected from the generation allocat=
or
> itself from the side effect of avoiding glibc's pattern of releasing memo=
ry
> back to the kernel too quickly.
>=20

I've run the same 1-to-32-columns sort benchmark, using both glibc malloc a=
nd=20
jemalloc, with the standard aset memory manager or with David's generation =
v2=20
patch.  To use jemalloc, I just use a LD_PRELOAD env variable before starti=
ng=20
postgres.=20

I have not tried to measure jemalloc's memory footprint like I did for glib=
c's=20
malloc in the previous benchmark, as I'm not trying to evaluate jemalloc as=
 a=20
glibc's malloc replacement.=20

Please find the results attached. As I suspected, most of the gain observed=
=20
with David's patch come from working around glibc's malloc idiosyncracies b=
ut=20
the good news is that it also helps (to a lesser degree) with jemalloc.

I'm not sure how that would behave with growing block sizes though: as Toma=
s=20
patch and stress-testing benchmarks showed, we can hit some particular=20
thresholds (and regressions) in glibc's self-tuning behaviour.

=2D-=20
Ronan Dunklau
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