Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.96) (envelope-from ) id 1wXgRo-003PoR-1J for pgsql-hackers@arkaria.postgresql.org; Thu, 11 Jun 2026 14:31:57 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.96) (envelope-from ) id 1wXgRn-00GFFA-0O for pgsql-hackers@arkaria.postgresql.org; Thu, 11 Jun 2026 14:31:55 +0000 Received: from magus.postgresql.org ([2a02:c0:301:0:ffff::29]) by malur.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.96) (envelope-from ) id 1wXgRm-00GFF2-1i for pgsql-hackers@lists.postgresql.org; Thu, 11 Jun 2026 14:31:54 +0000 Received: from mail.postgrespro.ru ([93.174.132.70]) by magus.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.98.2) (envelope-from ) id 1wXgRh-00000002Ysc-3Ks2 for pgsql-hackers@postgresql.org; Thu, 11 Jun 2026 14:31:54 +0000 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=postgrespro.ru; s=mx2023; t=1781188308; bh=CVczzIjvngkgqjueoJkyK8fDh+PL0BVH/qqmyLc/VXQ=; h=Message-ID:Date:User-Agent:From:Subject:To:Cc:References: In-Reply-To:From; b=ttpok08YCt1ANaWwADHoqoPBILJIxcSDpZUafkW7BmBjQie8eXggv46BSLth7gPfW EGvpDrkua1VVS+t0rXimU2SHPZorqoaDZdZgQfYQ4P//cSqCjjxRiQ0pIPVlXJK+vN B5GEIb+ixXzwxd+R4Ni/QD5Y25Az6Tgq8ili+7cg+o3MYSP0P7+Hz9k9A4yKJQQ5rz GdcKUE7R2mq0VQ+r4m9BuhPCDE9g0L5ydMknuGWB4KrHVeTnI/l8vprV9gMx5dNY9q L3lxkZ9h4LFXVDXUUSqQFe6xxS1IqrzrIMo7BAF2Vr1wPDfiSOKZjZDaM4dtHy65xl h3znUh4iiKZbQ== Received: from [172.30.49.238] (debian11-template.l.postgrespro.ru [192.168.2.254]) (using TLSv1.3 with cipher TLS_AES_128_GCM_SHA256 (128/128 bits) key-exchange X25519 server-signature RSA-PSS (2048 bits) server-digest SHA256) (Client did not present a certificate) (Authenticated sender: m.melnikov@postgrespro.ru) by mail.postgrespro.ru (Postfix/465) with ESMTPSA id A614C6069B; Thu, 11 Jun 2026 17:31:47 +0300 (MSK) Content-Type: multipart/mixed; boundary="------------6hULsAqgJancPvjIhr0PSIzA" Message-ID: <08e7c338-e175-4474-be53-6538bb67d4b6@postgrespro.ru> Date: Thu, 11 Jun 2026 17:31:47 +0300 MIME-Version: 1.0 User-Agent: Mozilla Thunderbird From: "Maksim.Melnikov" Subject: Re: Init connection time grows quadratically To: Matthias van de Meent Cc: =?UTF-8?B?0J/QvtGC0LDQv9C+0LIg0JDQu9C10LrRgdCw0L3QtNGA?= , pgsql-hackers@postgresql.org References: <3bdba-68359800-d-249da480@139845401> <2ab4be-6847f380-11-1d048f40@125133490> <3b7e5e-684fdc80-f-48e15c80@193664207> <65d0e5b2-2a40-4b12-be04-0804912d2daf@postgrespro.ru> Content-Language: en-US In-Reply-To: X-KSMG-AntiPhishing: NotDetected, bases: 2026/06/11 13:53:00 X-KSMG-AntiSpam-Interceptor-Info: not scanned X-KSMG-AntiSpam-Status: not scanned, disabled by settings X-KSMG-AntiVirus: Kaspersky Secure Mail Gateway, version 3.0.0.9059, bases: 2026/06/11 12:11:00 #28230308 X-KSMG-AntiVirus-Status: NotDetected, skipped X-KSMG-LinksScanning: not scanned, disabled by settings X-KSMG-Message-Action: skipped X-KSMG-Rule-ID: 1 List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Archived-At: Precedence: bulk This is a multi-part message in MIME format. --------------6hULsAqgJancPvjIhr0PSIzA Content-Type: multipart/alternative; boundary="------------pFvPl4OalqwWyDcRtRhke0n2" --------------pFvPl4OalqwWyDcRtRhke0n2 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit On 6/3/26 16:35, Matthias van de Meent wrote: > On Wed, 3 Jun 2026 at 08:33, Maksim.Melnikov wrote: >> On 6/16/25 11:56, Потапов Александр wrote: >> >>> To be more precise I used constant number of threads (128 and 1024) to compare with previous results. The quadratic dependency exists everywhere, see new graph. >>> >>>> Q: Did you check that pgbench or the OS does not have >>>> O(n_active_connections) or O(n_active_threads) overhead per worker >>>> during thread creation or connection establishment, e.g. by varying >>>> the number of threads used to manage these N clients? I wouldn't be >>>> surprised if there are inefficiencies in e.g. the threading- or >>>> synchronization model that cause O(N) per-thread overhead, or O(N^2) >>>> overall when you have one thread per connection. >> Hi, all! >> >> I've investigated slightly different scenario then Alexander and I want share my thoughts in this thread too. >> >> I found that when we run pgbench scenarios sequantially, without postgres restart between iterations, initial time degrades from launch to launch and eventually it stabilizes at the worst values then first run(ICT_degradation.png attached). >> >> Scenario details: > [...] >> 4.Add to the postgresql.conf: >> huge_pages = off #for the sake of test stability and reproducibility > I think this is the main culprit of the extreme slowdown -- without > huge pages, you're effectively guaranteed to get many minor page > faults, and with it the relevant TLB miss rates. With huge pages > enabled, the proc array should fit on one (or just a few) memory > pages. > > We're not generally in the business for optimizing workloads that have > huge_pages=off. Yes, I agree, huge_pages=off is not  common setup now. My motivation was that even if some configuration isn't commonly used, it does not mean that it isn't interesting for someone else at all and, as a consequence, it can be optimized without degradation for basic scenarios . Moreover, huge_pages = try is the default value, so with huge_pages set to try, the server will try to request huge pages, but fall back to the huge_page=off if that fails. As I know on linux default value for  vm.nr_hugepages = 0, this means that by default, the os does not use HugeTLB pages. Of course, DBA should setup this, but on practice they can miss this. Anyway, if community isn't interested in such kinds of optimizations, it is ok. It was interesting and educational investigation for me, thanks for your help. > ..... > > >> as we can see, patched version fixes this. I made a series of measurements for all versions and attached comparison chart(ICT_degradation_with_patch.png attached). Also I add the table with results > Do you happen to have data with huge_pages enabled? > >> I hope it will be interesting and helpful. > Definitely interesting. I'm not so sure it's as effective on a > production configuration (with huge pages enabled), but I'm definitely > interested in seeing test results. I've made comparative measurements for configurations with huge_pages = on/off. Please, you can check results below. Clients number *Huge-pages-off-with-patch* Huge-pages-off-without-patch Huge-pages-on-with-patch Huge-pages-on-without-patch 512 ~480 +- 3.5% ms ~490 +- 3% ms ~420 +- 3.5% ms ~420+-3.5% ms 1024 ~910 +- 1.3% ms ~990 +- 2% ms ~790 +- 1.7% ms ~800+-1.8% ms 2048 ~1810 +- 1.4% ms ~2230 +- 0.9% ms ~1540 +- 0.7% ms ~1530 +- 1.4% ms 4096 ~3690 +- 1.9% ms ~6060 +- 0.8% ms ~3070 +- 0.6% ms ~3070 +- 0.9% ms 8192 ~9900 +- 0.6% ms ~18530 +- 0.4% ms ~6220 +- 0.7% ms ~6230 +- 0.7% ms Also comparison chart is attached. As we can see the measurements prove patch efficiency for configuration with huge_page=off(the same result as in previous message), but for huge_pages=on I've got the same results for both versions, no improvement and no degradation. > ---- > > Some comments on the patch: > Patch with fixes was attached. Thanks for review. Best regards, Maksim Melnikov --------------pFvPl4OalqwWyDcRtRhke0n2 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: 8bit


On 6/3/26 16:35, Matthias van de Meent wrote:
On Wed, 3 Jun 2026 at 08:33, Maksim.Melnikov <m.melnikov@postgrespro.ru> wrote:

On 6/16/25 11:56, Потапов Александр wrote:


To be more precise I used constant number of threads (128 and 1024) to compare with previous results. The quadratic dependency exists everywhere, see new graph.


Q: Did you check that pgbench or the OS does not have
O(n_active_connections) or O(n_active_threads) overhead per worker
during thread creation or connection establishment, e.g. by varying
the number of threads used to manage these N clients? I wouldn't be
surprised if there are inefficiencies in e.g. the threading- or
synchronization model that cause O(N) per-thread overhead, or O(N^2)
overall when you have one thread per connection.

Hi, all!

I've investigated slightly different scenario then Alexander and I want share my thoughts in this thread too.

I found that when we run pgbench scenarios sequantially, without postgres restart between iterations, initial time degrades from launch to launch and eventually it stabilizes at the worst values then first run(ICT_degradation.png attached).

Scenario details:

[...]

4.Add to the postgresql.conf:
    huge_pages = off #for the sake of test stability and reproducibility

I think this is the main culprit of the extreme slowdown -- without
huge pages, you're effectively guaranteed to get many minor page
faults, and with it the relevant TLB miss rates. With huge pages
enabled, the proc array should fit on one (or just a few) memory
pages.

We're not generally in the business for optimizing workloads that have
huge_pages=off.

Yes, I agree, huge_pages=off is not  common setup now. My motivation was that even if some configuration isn't commonly used, it does not mean that it isn't interesting for someone else at all and, as a consequence, it can be optimized without degradation for basic scenarios . Moreover, huge_pages = try is the default value, so with huge_pages set to try, the server will try to request huge pages, but fall back to the huge_page=off if that fails. As I know on linux default value for  vm.nr_hugepages = 0, this means that by default, the os does not use HugeTLB pages. Of course, DBA should setup this, but on practice they can miss this. Anyway, if community isn't interested in such kinds of optimizations, it is ok. It was interesting and educational investigation for me, thanks for your help.

.....



as we can see, patched version fixes this. I made a series of measurements for all versions and attached comparison chart(ICT_degradation_with_patch.png attached). Also I add the table with results

Do you happen to have data with huge_pages enabled?


I hope it will be interesting and helpful.

Definitely interesting. I'm not so sure it's as effective on a
production configuration (with huge pages enabled), but I'm definitely
interested in seeing test results.

I've made comparative measurements for configurations with huge_pages = on/off. Please, you can check results below.

Clients number Huge-pages-off-with-patch Huge-pages-off-without-patch Huge-pages-on-with-patch Huge-pages-on-without-patch
512 ~480 +- 3.5% ms ~490 +- 3% ms ~420 +- 3.5% ms ~420+-3.5% ms
1024 ~910 +- 1.3% ms ~990 +- 2% ms ~790 +- 1.7% ms ~800+-1.8% ms
2048 ~1810 +- 1.4% ms ~2230 +- 0.9% ms ~1540 +- 0.7% ms ~1530 +- 1.4% ms
4096 ~3690 +- 1.9% ms ~6060 +- 0.8% ms ~3070 +- 0.6% ms ~3070 +- 0.9% ms
8192 ~9900 +- 0.6% ms ~18530 +- 0.4% ms ~6220 +- 0.7% ms ~6230 +- 0.7% ms

Also comparison chart is attached.

As we can see the measurements prove patch efficiency for configuration with huge_page=off(the same result as in previous message), but for huge_pages=on I've got the same results for both versions, no improvement and no degradation.

----

Some comments on the patch:

Patch with fixes was attached. Thanks for review.

Best regards,

Maksim Melnikov


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