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From: Alexandre Felipe <o.alexandre.felipe@gmail.com>
Date: Sun, 15 Feb 2026 00:13:39 +0000
Message-ID: <CAE8JnxN_EwnTLLMWGhvgwaomYZ0ysm7NeogA-BqBd=Rs3S7Oqw@mail.gmail.com>
Subject: Re: index prefetching
To: Peter Geoghegan <pg@bowt.ie>
Cc: Tomas Vondra <tomas@vondra.me>, Andres Freund <andres@anarazel.de>, 
	Thomas Munro <thomas.munro@gmail.com>, Nazir Bilal Yavuz <byavuz81@gmail.com>, 
	Robert Haas <robertmhaas@gmail.com>, Melanie Plageman <melanieplageman@gmail.com>, 
	PostgreSQL Hackers <pgsql-hackers@lists.postgresql.org>, Georgios <gkokolatos@protonmail.com>, 
	Konstantin Knizhnik <knizhnik@garret.ru>, Dilip Kumar <dilipbalaut@gmail.com>
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Hi,
I decided to test this PR.

I didn't take much time to go through the thread or the code in detail yet.
But I have my first benchmark results and I would like to share.

EXPERIMENT

I tested [CF 4351] v10 - Index Prefetching

I created a table with 100k rows and
Sequential is, as guessed, 1,2,3,4 (indexed)
Periodic is a quasi random (i * jump) % num_rows, where gcd(jump, num_rows)
=3D 1, guarantee that there are no repeated entries (indexed)
Random is a `row_number() over (order by random())` (indexed)
The payload is a fixed 200 character long string, just to make it more
realistic.

For the tests, I disable sorting, sequential scans, index only scans and
bitmap scans.
Since buffer cache always has a significant impact on the query
performance, I shuffled the tests, and tried to adjust for the number of
buffer hit/read, but later I found that the best way to control that was to
use a table small enough to be entirely held in cache, and evict the
buffers.

* off: buffers are kept in cache
* pg: buffers evicted from postgres pg_buffercache_evict from
pg_buffercache extension.
* os: supported only in  python, I separated the buffer eviction in
purge_cache as it requires sudo (tested only in MacOS).

I varied
 * max_parallel_workers_per_gather (although I guess it wasn't exploited),
 * enable_index_prefetch
 * the column used as sorting key and, as a result, the index used.
 * and buffer eviction mode.

Running from python with psycopg

SUMMARY

I could not see the expected positive impact and when using the python
script and buffers evicted prefetch had a detrimental impact.


APPENDIX

psql run
column_name io_method  num_workers evict  n  off_ms  on_ms  pct_change
 ci_low  ci_high
   periodic    worker            0   off 10   172.4  182.8    6.024162
 -3.7     15.7
   periodic    worker            0    pg 10   222.7  214.8   -3.539448
-13.0      5.9
   periodic    worker            2   off 10   173.5  172.7   -0.442660
 -1.6      0.7
   periodic    worker            2    pg 10   226.3  213.2   -5.795049
-16.9      5.3
     random    worker            0   off 10   173.3  174.1    0.476657
 -1.0      2.0
     random    worker            0    pg 10   216.6  218.1    0.704020
 -2.8      4.3
     random    worker            2   off 10   182.7  175.3   -4.031139
-15.6      7.5
     random    worker            2    pg 10   217.2  213.7   -1.586813
 -4.4      1.2
 sequential    worker            0   off 10   131.1  130.4   -0.568573
 -3.4      2.3
 sequential    worker            0    pg 10   150.7  188.2   24.923924
 22.2     27.6
 sequential    worker            2   off 10   129.7  130.2    0.421814
 -1.0      1.9
 sequential    worker            2    pg 10   151.0  184.1   21.925935
 19.5     24.3

psycopg run
column_name io_method  num_workers evict  n  off_ms  on_ms  pct_change
 ci_low  ci_high
   periodic    worker            0   off 10   186.7  193.7    3.701950
 -7.3     14.7
   periodic    worker            0    os 10   207.0  535.2  158.507266
153.7    163.3
   periodic    worker            0    pg 10   201.2  537.0  166.923995
161.5    172.3
   periodic    worker            2   off 10   181.2  189.0    4.303359
 -0.2      8.8
   periodic    worker            2    os 10   221.7  548.2  147.322934
131.8    162.9
   periodic    worker            2    pg 10   203.1  533.5  162.688738
160.4    165.0
     random    worker            0   off 10   194.6  186.8   -3.986974
-11.5      3.5
     random    worker            0    os 10   211.4  338.2   59.979252
 52.9     67.1
     random    worker            0    pg 10   212.3  336.8   58.686711
 50.2     67.1
     random    worker            2   off 10   183.3  187.7    2.364585
0.4      4.4
     random    worker            2    os 10   222.5  341.9   53.659704
 42.1     65.2
     random    worker            2    pg 10   204.1  333.3   63.348746
 62.3     64.4
 sequential    worker            0   off 10   129.9  129.5   -0.260586
 -1.9      1.3
 sequential    worker            0    os 10   150.9  182.4   20.909424
 16.6     25.2
 sequential    worker            0    pg 10   150.3  185.0   23.132583
 19.2     27.1
 sequential    worker            2   off 10   129.9  132.9    2.323179
 -4.3      9.0
 sequential    worker            2    os 10   153.8  189.8   23.402255
 13.9     32.9
 sequential    worker            2    pg 10   151.1  185.9   22.997500
 20.1     25.9

Regards,
Alexandre


On Mon, Feb 9, 2026 at 10:45=E2=80=AFPM Peter Geoghegan <pg@bowt.ie> wrote:

> On Fri, Jan 30, 2026 at 7:18=E2=80=AFPM Peter Geoghegan <pg@bowt.ie> wrot=
e:
> > Attached is v9.
>
> Attached is v10. There are 2 major areas of improvement in this latest
> revision:
>
> 1. We have enhanced the read stream callback (heapam_getnext_stream,
> which is added by
> v10-0005-Add-prefetching-to-index-scans-using-batch-inter.patch),
> making it yield at key intervals. When we yield, we temporarily
> suspend prefetching -- but only for long enough to give the scan the
> opportunity to return one more matching tuple (don't confuse yielding
> with pausing; we do both, but the goals are rather different in each
> case).
>
> Yielding like this keeps the scan responsive during prefetching: the
> scan should never go too long without returning at least one tuple
> (except when that just isn't possible at all). Testing has shown that
> keeping the scan responsive in this sense is particularly important
> during scans that appear in "ORDER BY ... LIMIT N" queries, as well as
> during scans that feed into certain merge joins. IOW, it is
> particularly important that we "keep the scan responsive" whenever it
> has the potential to allow the scan to shut down before it has
> performed work that turns out to be unnecessary (though it also seems
> to have some benefits even when that isn't the case).
>
> There is a complex trade-off here: we want to yield when we expect
> some benefit from doing so. But we don't want to yield when doing so
> risks compromising the read stream's ability to maintain an adequate
> prefetch distance. There are comments in heapam_getnext_stream that
> describe the theory in more detail. There are heuristics that were
> derived using adversarial benchmarking/stress-testing. I'm sure that
> they need more work, but this does seem like roughly the right idea.
> Note that we now test whether the scan's read stream is using its
> fast-path mode (read stream uses this when the scan reads heap pages
> that are all cached).
>
> 2. A new patch
> (v10-0007-Limit-get_actual_variable_range-to-scan-one-inde.patch)
> compensates for the fact that the main prefetching commit removes
> get_actual_variable_range's VISITED_PAGES_LIMIT mechanism. Since
> VISITED_PAGES_LIMIT cannot easily be ported over to the new table AM
> interface selfuncs.c now uses.
>
> I described the problem that we need to address when I posted v9:
>
> > selfuncs.c problem
> > ------------------
> >
> > Also worth noting that we recently found a problem with selfuncs.c:
> > the VISITED_PAGES_LIMIT stuff in selfuncs.c is broken right now. v9
> > tears that code out, pending adding back a real fix (earlier versions
> > of the patch had VISITED_PAGES_LIMIT, but it didn't work).
> >
> > The underlying problem is that the existing VISITED_PAGES_LIMIT design
> > is incompatible with our new table_index_getnext_slot interface. The
> > new interface doesn't stop scanning until it is able to at least
> > return 1 tuple. But VISITED_PAGES_LIMIT was invented precisely because
> > get_actual_variable_endpoint's index scans took far too long, even
> > though they're only ever required to locate 1 tuple. So that just
> > won't work.
> >
> > We'll need to invent some kind of API that directly acknowledges the
> > needs of the selfuncs.c caller, and others like it. Doing it in an
> > ad-hoc way just doesn't seem possible anymore. That will have to wait
> > for the next revision, though (or the one after that).
>
> The new patch deals with the problem in a completely different way,
> and at a completely different layer: it adds a new
> IndexScanDescData.xs_read_extremal_only field, set only by
> get_actual_variable_range. When nbtree sees that the field has been
> set, it gives up after scanning only one leaf page (the page that
> contains extremal values that are of interest to
> get_actual_variable_range). Note that we completely stop caring about
> heap page fetches with this new approach.
>
> There are good reasons to believe that the new
> IndexScanDescData.xs_read_extremal_only approach will solve existing
> problems with VISITED_PAGES_LIMIT. Recent benchmarking from Mark
> Callaghan [1] (which I've independently recreated with my own minimal
> test suite) shows that VISITED_PAGES_LIMIT becomes completely
> ineffective, once we reach a tipping point where many index tuples at
> one end of the index all have their LP_DEAD bit set.
>
> I'm going to start a new thread to discuss the issues in this area
> later today. I'm aiming to fix an existing, independent issue in this
> new patch, so it makes sense to discuss it on a completely separate
> thread.
>
> [1]
> https://smalldatum.blogspot.com/2026/01/cpu-bound-insert-benchmark-vs-pos=
tgres.html
> --
> Peter Geoghegan
>

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<div dir=3D"ltr">Hi,<div>I decided to test this PR.</div><div><br></div><di=
v>I didn&#39;t take much time to go through the thread or the code in detai=
l yet. But I have my first benchmark results and I would like to share.</di=
v><div><br></div><div>EXPERIMENT</div><div><br></div><div>I tested=C2=A0[CF=
 4351] v10 - Index Prefetching</div><div><br></div><div>I created a table w=
ith 100k rows and</div><div>Sequential is, as guessed, 1,2,3,4 (indexed)</d=
iv><div>Periodic is a quasi=C2=A0random (i * jump) % num_rows, where gcd(ju=
mp, num_rows) =3D 1, guarantee that there are no repeated entries (indexed)=
</div><div>Random is a `row_number() over (order by random())` (indexed)</d=
iv><div>The payload is a fixed 200 character long string, just to make it m=
ore realistic.</div><div><br></div><div>For the tests, I disable sorting, s=
equential scans, index only scans and bitmap scans.</div><div>Since buffer=
=C2=A0cache always has a significant impact on the query performance, I shu=
ffled the tests, and tried to adjust for the number of buffer hit/read, but=
 later I found that the=C2=A0best way to control that was to use a table sm=
all enough to be entirely held in cache, and evict the buffers.</div><div><=
br></div><div>* off: buffers are kept in cache</div><div>* pg: buffers evic=
ted from postgres pg_buffercache_evict from pg_buffercache extension.</div>=
<div>* os: supported only in=C2=A0 python, I separated the buffer eviction =
in purge_cache as it requires sudo (tested only in MacOS).</div><div><br></=
div><div>I varied=C2=A0</div><div>=C2=A0* max_parallel_workers_per_gather (=
although I guess it wasn&#39;t exploited),=C2=A0</div><div>=C2=A0* enable_i=
ndex_prefetch=C2=A0</div><div>=C2=A0* the column used as sorting key and, a=
s a result, the index used.</div><div>=C2=A0* and buffer eviction mode.</di=
v><div><br></div><div>Running from=C2=A0python with psycopg</div><div><br><=
/div><div>SUMMARY</div><div><br></div><div>I could not see the expected pos=
itive impact and when using the python script and buffers evicted prefetch =
had a detrimental impact.</div><div><br></div><div><br></div><div>APPENDIX<=
/div><div><br></div><div>psql run</div><div>column_name io_method =C2=A0num=
_workers evict =C2=A0n =C2=A0off_ms =C2=A0on_ms =C2=A0pct_change =C2=A0ci_l=
ow =C2=A0ci_high<br>=C2=A0 =C2=A0periodic =C2=A0 =C2=A0worker =C2=A0 =C2=A0=
 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=A0 off 10 =C2=A0 172.4 =C2=A0182.8 =C2=A0=
 =C2=A06.024162 =C2=A0 =C2=A0-3.7 =C2=A0 =C2=A0 15.7<br>=C2=A0 =C2=A0period=
ic =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=A0 =
=C2=A0pg 10 =C2=A0 222.7 =C2=A0214.8 =C2=A0 -3.539448 =C2=A0 -13.0 =C2=A0 =
=C2=A0 =C2=A05.9<br>=C2=A0 =C2=A0periodic =C2=A0 =C2=A0worker =C2=A0 =C2=A0=
 =C2=A0 =C2=A0 =C2=A0 =C2=A02 =C2=A0 off 10 =C2=A0 173.5 =C2=A0172.7 =C2=A0=
 -0.442660 =C2=A0 =C2=A0-1.6 =C2=A0 =C2=A0 =C2=A00.7<br>=C2=A0 =C2=A0period=
ic =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A02 =C2=A0 =
=C2=A0pg 10 =C2=A0 226.3 =C2=A0213.2 =C2=A0 -5.795049 =C2=A0 -16.9 =C2=A0 =
=C2=A0 =C2=A05.3<br>=C2=A0 =C2=A0 =C2=A0random =C2=A0 =C2=A0worker =C2=A0 =
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=A0 off 10 =C2=A0 173.3 =C2=A0174.1 =
=C2=A0 =C2=A00.476657 =C2=A0 =C2=A0-1.0 =C2=A0 =C2=A0 =C2=A02.0<br>=C2=A0 =
=C2=A0 =C2=A0random =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =
=C2=A00 =C2=A0 =C2=A0pg 10 =C2=A0 216.6 =C2=A0218.1 =C2=A0 =C2=A00.704020 =
=C2=A0 =C2=A0-2.8 =C2=A0 =C2=A0 =C2=A04.3<br>=C2=A0 =C2=A0 =C2=A0random =C2=
=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A02 =C2=A0 off 10 =
=C2=A0 182.7 =C2=A0175.3 =C2=A0 -4.031139 =C2=A0 -15.6 =C2=A0 =C2=A0 =C2=A0=
7.5<br>=C2=A0 =C2=A0 =C2=A0random =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =
=C2=A0 =C2=A0 =C2=A02 =C2=A0 =C2=A0pg 10 =C2=A0 217.2 =C2=A0213.7 =C2=A0 -1=
.586813 =C2=A0 =C2=A0-4.4 =C2=A0 =C2=A0 =C2=A01.2<br>=C2=A0sequential =C2=
=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=A0 off 10 =
=C2=A0 131.1 =C2=A0130.4 =C2=A0 -0.568573 =C2=A0 =C2=A0-3.4 =C2=A0 =C2=A0 =
=C2=A02.3<br>=C2=A0sequential =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A00 =C2=A0 =C2=A0pg 10 =C2=A0 150.7 =C2=A0188.2 =C2=A0 24.92=
3924 =C2=A0 =C2=A022.2 =C2=A0 =C2=A0 27.6<br>=C2=A0sequential =C2=A0 =C2=A0=
worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A02 =C2=A0 off 10 =C2=A0 129.=
7 =C2=A0130.2 =C2=A0 =C2=A00.421814 =C2=A0 =C2=A0-1.0 =C2=A0 =C2=A0 =C2=A01=
.9<br>=C2=A0sequential =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A0 =C2=A02 =C2=A0 =C2=A0pg 10 =C2=A0 151.0 =C2=A0184.1 =C2=A0 21.925935 =
=C2=A0 =C2=A019.5 =C2=A0 =C2=A0 24.3</div><div><br></div><div>psycopg run</=
div><div>column_name io_method =C2=A0num_workers evict =C2=A0n =C2=A0off_ms=
 =C2=A0on_ms =C2=A0pct_change =C2=A0ci_low =C2=A0ci_high<br>=C2=A0 =C2=A0pe=
riodic =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=
=A0 off 10 =C2=A0 186.7 =C2=A0193.7 =C2=A0 =C2=A03.701950 =C2=A0 =C2=A0-7.3=
 =C2=A0 =C2=A0 14.7<br>=C2=A0 =C2=A0periodic =C2=A0 =C2=A0worker =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=A0 =C2=A0os 10 =C2=A0 207.0 =C2=A0535.=
2 =C2=A0158.507266 =C2=A0 153.7 =C2=A0 =C2=A0163.3<br>=C2=A0 =C2=A0periodic=
 =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=A0 =C2=
=A0pg 10 =C2=A0 201.2 =C2=A0537.0 =C2=A0166.923995 =C2=A0 161.5 =C2=A0 =C2=
=A0172.3<br>=C2=A0 =C2=A0periodic =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =
=C2=A0 =C2=A0 =C2=A02 =C2=A0 off 10 =C2=A0 181.2 =C2=A0189.0 =C2=A0 =C2=A04=
.303359 =C2=A0 =C2=A0-0.2 =C2=A0 =C2=A0 =C2=A08.8<br>=C2=A0 =C2=A0periodic =
=C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A02 =C2=A0 =C2=
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=C2=A0 194.6 =C2=A0186.8 =C2=A0 -3.986974 =C2=A0 -11.5 =C2=A0 =C2=A0 =C2=A0=
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=C2=A0 =C2=A0 =C2=A00 =C2=A0 =C2=A0os 10 =C2=A0 211.4 =C2=A0338.2 =C2=A0 59=
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=C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=A0 =C2=
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 =C2=A0 67.1<br>=C2=A0 =C2=A0 =C2=A0random =C2=A0 =C2=A0worker =C2=A0 =C2=
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=A0 =C2=A02.364585 =C2=A0 =C2=A0 0.4 =C2=A0 =C2=A0 =C2=A04.4<br>=C2=A0 =C2=
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=C2=A042.1 =C2=A0 =C2=A0 65.2<br>=C2=A0 =C2=A0 =C2=A0random =C2=A0 =C2=A0wo=
rker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A02 =C2=A0 =C2=A0pg 10 =C2=A0 2=
04.1 =C2=A0333.3 =C2=A0 63.348746 =C2=A0 =C2=A062.3 =C2=A0 =C2=A0 64.4<br>=
=C2=A0sequential =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=
=A00 =C2=A0 off 10 =C2=A0 129.9 =C2=A0129.5 =C2=A0 -0.260586 =C2=A0 =C2=A0-=
1.9 =C2=A0 =C2=A0 =C2=A01.3<br>=C2=A0sequential =C2=A0 =C2=A0worker =C2=A0 =
=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=A0 =C2=A0os 10 =C2=A0 150.9 =C2=A01=
82.4 =C2=A0 20.909424 =C2=A0 =C2=A016.6 =C2=A0 =C2=A0 25.2<br>=C2=A0sequent=
ial =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A00 =C2=A0 =
=C2=A0pg 10 =C2=A0 150.3 =C2=A0185.0 =C2=A0 23.132583 =C2=A0 =C2=A019.2 =C2=
=A0 =C2=A0 27.1<br>=C2=A0sequential =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=
=A0 =C2=A0 =C2=A0 =C2=A02 =C2=A0 off 10 =C2=A0 129.9 =C2=A0132.9 =C2=A0 =C2=
=A02.323179 =C2=A0 =C2=A0-4.3 =C2=A0 =C2=A0 =C2=A09.0<br>=C2=A0sequential =
=C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A02 =C2=A0 =C2=
=A0os 10 =C2=A0 153.8 =C2=A0189.8 =C2=A0 23.402255 =C2=A0 =C2=A013.9 =C2=A0=
 =C2=A0 32.9<br>=C2=A0sequential =C2=A0 =C2=A0worker =C2=A0 =C2=A0 =C2=A0 =
=C2=A0 =C2=A0 =C2=A02 =C2=A0 =C2=A0pg 10 =C2=A0 151.1 =C2=A0185.9 =C2=A0 22=
.997500 =C2=A0 =C2=A020.1 =C2=A0 =C2=A0 25.9</div><div><br></div><div>Regar=
ds,</div><div>Alexandre</div><div><br></div></div><br><div class=3D"gmail_q=
uote gmail_quote_container"><div dir=3D"ltr" class=3D"gmail_attr">On Mon, F=
eb 9, 2026 at 10:45=E2=80=AFPM Peter Geoghegan &lt;<a href=3D"mailto:pg@bow=
t.ie">pg@bowt.ie</a>&gt; wrote:<br></div><blockquote class=3D"gmail_quote" =
style=3D"margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);pa=
dding-left:1ex">On Fri, Jan 30, 2026 at 7:18=E2=80=AFPM Peter Geoghegan &lt=
;<a href=3D"mailto:pg@bowt.ie" target=3D"_blank">pg@bowt.ie</a>&gt; wrote:<=
br>
&gt; Attached is v9.<br>
<br>
Attached is v10. There are 2 major areas of improvement in this latest revi=
sion:<br>
<br>
1. We have enhanced the read stream callback (heapam_getnext_stream,<br>
which is added by<br>
v10-0005-Add-prefetching-to-index-scans-using-batch-inter.patch),<br>
making it yield at key intervals. When we yield, we temporarily<br>
suspend prefetching -- but only for long enough to give the scan the<br>
opportunity to return one more matching tuple (don&#39;t confuse yielding<b=
r>
with pausing; we do both, but the goals are rather different in each<br>
case).<br>
<br>
Yielding like this keeps the scan responsive during prefetching: the<br>
scan should never go too long without returning at least one tuple<br>
(except when that just isn&#39;t possible at all). Testing has shown that<b=
r>
keeping the scan responsive in this sense is particularly important<br>
during scans that appear in &quot;ORDER BY ... LIMIT N&quot; queries, as we=
ll as<br>
during scans that feed into certain merge joins. IOW, it is<br>
particularly important that we &quot;keep the scan responsive&quot; wheneve=
r it<br>
has the potential to allow the scan to shut down before it has<br>
performed work that turns out to be unnecessary (though it also seems<br>
to have some benefits even when that isn&#39;t the case).<br>
<br>
There is a complex trade-off here: we want to yield when we expect<br>
some benefit from doing so. But we don&#39;t want to yield when doing so<br=
>
risks compromising the read stream&#39;s ability to maintain an adequate<br=
>
prefetch distance. There are comments in heapam_getnext_stream that<br>
describe the theory in more detail. There are heuristics that were<br>
derived using adversarial benchmarking/stress-testing. I&#39;m sure that<br=
>
they need more work, but this does seem like roughly the right idea.<br>
Note that we now test whether the scan&#39;s read stream is using its<br>
fast-path mode (read stream uses this when the scan reads heap pages<br>
that are all cached).<br>
<br>
2. A new patch (v10-0007-Limit-get_actual_variable_range-to-scan-one-inde.p=
atch)<br>
compensates for the fact that the main prefetching commit removes<br>
get_actual_variable_range&#39;s VISITED_PAGES_LIMIT mechanism. Since<br>
VISITED_PAGES_LIMIT cannot easily be ported over to the new table AM<br>
interface selfuncs.c now uses.<br>
<br>
I described the problem that we need to address when I posted v9:<br>
<br>
&gt; selfuncs.c problem<br>
&gt; ------------------<br>
&gt;<br>
&gt; Also worth noting that we recently found a problem with selfuncs.c:<br=
>
&gt; the VISITED_PAGES_LIMIT stuff in selfuncs.c is broken right now. v9<br=
>
&gt; tears that code out, pending adding back a real fix (earlier versions<=
br>
&gt; of the patch had VISITED_PAGES_LIMIT, but it didn&#39;t work).<br>
&gt;<br>
&gt; The underlying problem is that the existing VISITED_PAGES_LIMIT design=
<br>
&gt; is incompatible with our new table_index_getnext_slot interface. The<b=
r>
&gt; new interface doesn&#39;t stop scanning until it is able to at least<b=
r>
&gt; return 1 tuple. But VISITED_PAGES_LIMIT was invented precisely because=
<br>
&gt; get_actual_variable_endpoint&#39;s index scans took far too long, even=
<br>
&gt; though they&#39;re only ever required to locate 1 tuple. So that just<=
br>
&gt; won&#39;t work.<br>
&gt;<br>
&gt; We&#39;ll need to invent some kind of API that directly acknowledges t=
he<br>
&gt; needs of the selfuncs.c caller, and others like it. Doing it in an<br>
&gt; ad-hoc way just doesn&#39;t seem possible anymore. That will have to w=
ait<br>
&gt; for the next revision, though (or the one after that).<br>
<br>
The new patch deals with the problem in a completely different way,<br>
and at a completely different layer: it adds a new<br>
IndexScanDescData.xs_read_extremal_only field, set only by<br>
get_actual_variable_range. When nbtree sees that the field has been<br>
set, it gives up after scanning only one leaf page (the page that<br>
contains extremal values that are of interest to<br>
get_actual_variable_range). Note that we completely stop caring about<br>
heap page fetches with this new approach.<br>
<br>
There are good reasons to believe that the new<br>
IndexScanDescData.xs_read_extremal_only approach will solve existing<br>
problems with VISITED_PAGES_LIMIT. Recent benchmarking from Mark<br>
Callaghan [1] (which I&#39;ve independently recreated with my own minimal<b=
r>
test suite) shows that VISITED_PAGES_LIMIT becomes completely<br>
ineffective, once we reach a tipping point where many index tuples at<br>
one end of the index all have their LP_DEAD bit set.<br>
<br>
I&#39;m going to start a new thread to discuss the issues in this area<br>
later today. I&#39;m aiming to fix an existing, independent issue in this<b=
r>
new patch, so it makes sense to discuss it on a completely separate<br>
thread.<br>
<br>
[1] <a href=3D"https://smalldatum.blogspot.com/2026/01/cpu-bound-insert-ben=
chmark-vs-postgres.html" rel=3D"noreferrer" target=3D"_blank">https://small=
datum.blogspot.com/2026/01/cpu-bound-insert-benchmark-vs-postgres.html</a><=
br>
--<br>
Peter Geoghegan<br>
</blockquote></div>

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Content-Type: application/octet-stream; name="test_prefetch_regressions.sql"
Content-Disposition: attachment; filename="test_prefetch_regressions.sql"
Content-Transfer-Encoding: base64
Content-ID: <f_mlmzokgq6>
X-Attachment-Id: f_mlmzokgq6

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