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From: Haibo Yan <tristan.yim@gmail.com>
Date: Wed, 29 Apr 2026 18:57:07 -0700
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 <CABXr29EW_+XRD4dTcEN4+=K78OvetMWMqF0qgSv_JwG6D4Gu3g@mail.gmail.com>
Subject: Re: [PATCH] DISTINCT in plain aggregate window functions
To: PostgreSQL-development <pgsql-hackers@postgresql.org>
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On Tue, Apr 7, 2026 at 10:31=E2=80=AFPM Haibo Yan <tristan.yim@gmail.com> w=
rote:

> Hi Hackers
>
> I=E2=80=99d like to start a patch series to add support for DISTINCT in p=
lain
> aggregate window functions.
>
> PostgreSQL currently rejects cases such as:
>
>
> -------------------------------------------------------------------------=
--------------------------------
>
> count(DISTINCT x) OVER (PARTITION BY p)
>
> sum(DISTINCT x)   OVER ()
>
>
> -------------------------------------------------------------------------=
--------------------------------
>
> My plan is to implement this incrementally, by frame class and by feature
> dimension, rather than trying to solve every case in a single patch.
>
> For the first step, I=E2=80=99m posting patches 1-2 only and would apprec=
iate your
> review on those.
>
> Patch 1 is intentionally very small:
>
>
>    - add parse/deparse plumbing for DISTINCT in plain aggregate window
>    functions
>    - carry the information through WindowFunc
>    - preserve it in ruleutils / deparse
>    - but still reject execution
>
> Patch 1 by itself does not add user-visible execution support, so I think
> it is best reviewed together with patch 2.
>
> Patch 2 adds the first real executor support:
>
>
>    - plain aggregate window functions only
>    - single-argument DISTINCT only
>    - whole-partition frames only
>
> That means support for cases where the frame is effectively the entire
> partition, for example:
>
>
> -------------------------------------------------------------------------=
--------------------------------
>
> count(DISTINCT x) OVER (PARTITION BY p)
> sum(DISTINCT x)   OVER ()
> avg(DISTINCT x)   OVER (
>     PARTITION BY p
>     ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
> )
>
>
> -------------------------------------------------------------------------=
--------------------------------
>
> The executor approach in patch 2 is deliberately conservative:
>
>
>    - collect the partition=E2=80=99s aggregate inputs
>    - sort and deduplicate them
>    - feed the distinct values into the aggregate transition function
>    - finalize once
>    - reuse the cached result for all rows in the partition
>
> This avoids the much harder moving-frame cases for now.
>
> My proposed overall roadmap is below:
>
> Patch 1
>
>
>    - parse/deparse plumbing only
>    - allow DISTINCT to be represented on plain aggregate window functions
>    - preserve it through deparse / view definition
>    - still reject execution
>
> Patch 2
>
>
>    - executor support for whole-partition frames
>    - plain aggregate window functions only
>    - single-argument DISTINCT only
>    - sort-and-dedup implementation
>
> Patch 3
>
>
>    - executor support for non-shrinking frames
>    - frames starting at UNBOUNDED PRECEDING with no EXCLUDE
>    - incremental hash-based seen-set
>    - covers default ORDER BY frame and supported ... CURRENT ROW / ...
>    FOLLOWING cases
>
> Patch 4
>
>
>    - executor support for sliding ROWS frames
>    - refcounted DISTINCT state
>    - add/remove distinct contributions as rows enter and leave the frame
>    - fallback to restart/recompute for aggregates without inverse
>    transition support
>
> Patch 5
>
>
>    - extend the sliding DISTINCT machinery to sliding RANGE and GROUPS
>    - keep the same refcounted model
>    - no EXCLUDE yet
>
> Patch 6
>
>
>    - support EXCLUDE clauses
>    - likely correctness-first, with restart/recompute where incremental
>    maintenance is too awkward
>
> Patch 7
>
>
>    - support multi-argument DISTINCT
>    - upgrade DISTINCT keys from single datum to tuple/composite key
>    representation
>
> Patch 8
>
>
>    - support aggregate ORDER BY inside window aggregates
>    - left until last because it is orthogonal to frame-shape support and
>    substantially complicates both parse representation and executor behav=
ior
>
> In short, the roadmap is:
>
>
>    1. plumbing
>    2. whole-partition
>    3. non-shrinking
>    4. sliding ROWS
>    5. sliding RANGE / GROUPS
>    6. EXCLUDE
>    7. multi-arg DISTINCT
>    8. aggregate ORDER BY
>
> For this posting, I=E2=80=99d especially appreciate feedback on:
>
>
>    - whether patch 1 + patch 2 is a reasonable first split
>    - whether whole-partition-only executor support is a good first
>    executable step
>    - whether the proposed long-term breakdown seems sensible
>
> Thanks in advance for any review or comments.
>
> Best regards,
>
> Haibo Yan
>
>
> I=E2=80=99ve managed to finish the first sub-series adding initial suppor=
t for
DISTINCT in plain aggregate window functions.

Patch 1 teaches the parser and deparser to accept DISTINCT in plain
window aggregates. This is representation-only and does not change
execution yet.

Patch 2 adds executor support for the simplest case, whole-partition
frames, using a sort-and-deduplicate path.

Patch 3 extends that support to non-shrinking frames, where rows only
enter the frame, by using an incremental hash-based seen-set instead of
restarting the aggregate for each row.

Please review.

Regards,
Haibo

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<div dir=3D"ltr"><div dir=3D"ltr">On Tue, Apr 7, 2026 at 10:31=E2=80=AFPM H=
aibo Yan &lt;<a href=3D"mailto:tristan.yim@gmail.com">tristan.yim@gmail.com=
</a>&gt; wrote:</div><div class=3D"gmail_quote gmail_quote_container"><bloc=
kquote class=3D"gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-left:=
1px solid rgb(204,204,204);padding-left:1ex"><div dir=3D"ltr">


<p>Hi Hackers</p><p>I=E2=80=99d like to start a patch series to add support=
 for <span>DISTINCT</span> in plain aggregate window functions.</p>
<p>PostgreSQL currently rejects cases such as:</p><p>----------------------=
---------------------------------------------------------------------------=
--------</p><p><span>count(</span>DISTINCT<span> x) </span>OVER<span> (</sp=
an>PARTITION<span> </span>BY<span> p)</span></p><p>


</p><p>sum(<span>DISTINCT</span> x) <span>=C2=A0 </span><span>OVER</span> (=
)</p><p>-------------------------------------------------------------------=
--------------------------------------</p><p>My plan is to implement this i=
ncrementally, by frame class and by feature dimension, rather than trying t=
o solve every case in a single patch.</p><p>For the first step, I=E2=80=99m=
 posting patches 1-2 only and would appreciate your review on those.</p><p>=
Patch 1 is intentionally very small:</p><p><span></span></p><ul><li>add par=
se/deparse plumbing for <span>DISTINCT</span> in plain aggregate window fun=
ctions</li><li>carry the information through <span>WindowFunc</span></li><l=
i>preserve it in ruleutils / deparse</li><li>but still reject execution</li=
></ul><p>Patch 1 by itself does not add user-visible execution support, so =
I think it is best reviewed together with patch 2.</p><p>Patch 2 adds the f=
irst real executor support:</p><p><span></span></p><ul><li>plain aggregate =
window functions only</li><li>single-argument <span>DISTINCT</span> only</l=
i><li>whole-partition frames only</li></ul><p>


</p><p>That means support for cases where the frame is effectively the enti=
re partition, for example:</p><p>------------------------------------------=
---------------------------------------------------------------</p><p>count=
(DISTINCT x) OVER (PARTITION BY p)<br>sum(DISTINCT x) =C2=A0 OVER ()<br>avg=
(DISTINCT x) =C2=A0 OVER (<br>=C2=A0 =C2=A0 PARTITION BY p<br>=C2=A0 =C2=A0=
 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING<br>)</p><p>------=
---------------------------------------------------------------------------=
------------------------</p><p>The executor approach in patch 2 is delibera=
tely conservative:</p><p><span></span></p><ul><li>collect the partition=E2=
=80=99s aggregate inputs</li><li>sort and deduplicate them</li><li>feed the=
 distinct values into the aggregate transition function</li><li>finalize on=
ce</li><li>reuse the cached result for all rows in the partition</li></ul><=
p>


</p><p>This avoids the much harder moving-frame cases for now.</p><p>My pro=
posed overall roadmap is below:</p><p>Patch 1</p><p><span></span></p><ul><l=
i>parse/deparse plumbing only</li><li>allow <span>DISTINCT</span> to be rep=
resented on plain aggregate window functions</li><li>preserve it through de=
parse / view definition</li><li>still reject execution</li></ul><p>Patch 2<=
/p><p><span></span></p><ul><li>executor support for whole-partition frames<=
/li><li>plain aggregate window functions only</li><li>single-argument <span=
>DISTINCT</span> only</li><li>sort-and-dedup implementation</li></ul><p>Pat=
ch 3</p><p><span></span></p><ul><li>executor support for non-shrinking fram=
es</li><li>frames starting at <span>UNBOUNDED PRECEDING</span> with no <spa=
n>EXCLUDE</span></li><li>incremental hash-based seen-set</li><li>covers def=
ault <span>ORDER BY</span> frame and supported <span>... CURRENT ROW</span>=
 / <span>... FOLLOWING</span> cases</li></ul><p>Patch 4</p><p><span></span>=
</p><ul><li>executor support for sliding <span>ROWS</span> frames</li><li>r=
efcounted DISTINCT state</li><li>add/remove distinct contributions as rows =
enter and leave the frame</li><li>fallback to restart/recompute for aggrega=
tes without inverse transition support</li></ul><p>Patch 5</p><p><span></sp=
an></p><ul><li>extend the sliding DISTINCT machinery to sliding <span>RANGE=
</span> and <span>GROUPS</span></li><li>keep the same refcounted model</li>=
<li><span>no </span>EXCLUDE<span> yet</span></li></ul><p>Patch 6</p><p><spa=
n></span></p><ul><li>support <span>EXCLUDE</span> clauses</li><li>likely co=
rrectness-first, with restart/recompute where incremental maintenance is to=
o awkward</li></ul><p>Patch 7</p><p><span></span></p><ul><li>support multi-=
argument <span>DISTINCT</span></li><li>upgrade DISTINCT keys from single da=
tum to tuple/composite key representation</li></ul><p>Patch 8</p><p><span><=
/span></p><ul><li>support aggregate <span>ORDER BY</span> inside window agg=
regates</li><li>left until last because it is orthogonal to frame-shape sup=
port and substantially complicates both parse representation and executor b=
ehavior</li></ul><p>In short, the roadmap is:</p><p><span></span></p><ol><l=
i>plumbing</li><li>whole-partition</li><li>non-shrinking</li><li>sliding <s=
pan>ROWS</span></li><li>sliding <span>RANGE</span> / <span>GROUPS</span></l=
i><li>EXCLUDE</li><li>multi-arg <span>DISTINCT</span></li><li>aggregate <sp=
an>ORDER BY</span></li></ol><p>For this posting, I=E2=80=99d especially app=
reciate feedback on:</p><p><span></span></p><ul><li>whether patch 1 + patch=
 2 is a reasonable first split</li><li>whether whole-partition-only executo=
r support is a good first executable step</li><li>whether the proposed long=
-term breakdown seems sensible</li></ul><p>Thanks in advance for any review=
 or comments.</p><p>Best regards,</p><p>


</p><p>Haibo Yan</p><p><br></p></div></blockquote><p class=3D"gmail-p1">I=
=E2=80=99ve managed to finish the first sub-series adding initial support f=
or<br>
DISTINCT in plain aggregate window functions.</p>
<p class=3D"gmail-p1">Patch 1 teaches the parser and deparser to accept DIS=
TINCT in plain<br>
window aggregates. This is representation-only and does not change<br>
execution yet.</p>
<p class=3D"gmail-p1">Patch 2 adds executor support for the simplest case, =
whole-partition<br>
frames, using a sort-and-deduplicate path.</p>
<p class=3D"gmail-p1">Patch 3 extends that support to non-shrinking frames,=
 where rows only<br>
enter the frame, by using an incremental hash-based seen-set instead of<br>
restarting the aggregate for each row.</p>
<p class=3D"gmail-p1">Please review.</p>
<p class=3D"gmail-p1">Regards,<br></p><div>Haibo=C2=A0</div></div></div>

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