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 4.94.2) (envelope-from ) id 1uFbST-006Sdt-Aa for pgsql-performance@arkaria.postgresql.org; Thu, 15 May 2025 16:29:22 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.94.2) (envelope-from ) id 1uFbSQ-00FXos-IA for pgsql-performance@arkaria.postgresql.org; Thu, 15 May 2025 16:29:18 +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 4.94.2) (envelope-from ) id 1uFbSP-00FXmi-Fm for pgsql-performance@lists.postgresql.org; Thu, 15 May 2025 16:29:18 +0000 Received: from fout-b7-smtp.messagingengine.com ([202.12.124.150]) by magus.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.96) (envelope-from ) id 1uFbSK-0023WU-2r for pgsql-performance@lists.postgresql.org; Thu, 15 May 2025 16:29:17 +0000 Received: from phl-compute-02.internal (phl-compute-02.phl.internal [10.202.2.42]) by mailfout.stl.internal (Postfix) with ESMTP id E0C6F1140194 for ; Thu, 15 May 2025 12:29:10 -0400 (EDT) Received: from phl-imap-17 ([10.202.2.105]) by phl-compute-02.internal (MEProxy); Thu, 15 May 2025 12:29:10 -0400 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=mahdibm.com; h= cc:content-type:content-type:date:date:from:from:in-reply-to :message-id:mime-version:reply-to:subject:subject:to:to; s=fm2; t=1747326550; x=1747412950; bh=w33J6pAfOBnI3P67vIlAakuEyNQOZbwm 0NYnjsr26Gw=; b=C8ZO7jy1XMrTTqExuyb8RUDuj5+orIACRtwAQMqoHWwQn7qv CefcvayVc164gSSkdIePg8siOQzw+zzQ89k6BzB8hv72fwtp6acFle1ylalJUCzw DecwqCnut34gk5I9It2159pe3GsnUO3sSYg5kZ5/cRzg6IJc2x3ifPPqrfkw3bAr rJQqQzkR3KL4kp+lW6XYYwNJ7+hvN++BKF4G4JIBZ81sYlA3CyVfpwWjiyVJBFvN Xm63W5M3tixsgKW4pt0C585E4qfZa+cP5gZbtffFKJYbbEr3E5nrshMmB3ke10jD 7/2AU32P7muiSzP4mPiabrYDR8Xhb+GFYY5myA== DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d= messagingengine.com; h=cc:content-type:content-type:date:date :feedback-id:feedback-id:from:from:in-reply-to:message-id :mime-version:reply-to:subject:subject:to:to:x-me-proxy :x-me-sender:x-me-sender:x-sasl-enc; s=fm3; t=1747326550; x= 1747412950; bh=w33J6pAfOBnI3P67vIlAakuEyNQOZbwm0NYnjsr26Gw=; b=N KxwIDp3fjdkizzHf9/w45Cbwmih4jQg7m6BeFjIAKyABHkEqvb3AC04hQ4XGXVh6 MyXsqQd94FbpRqI1/35OM/Zj8oL/KVZWrQkJSl9dPFWCdwj1XSPSHVn92NY9yt0i EGvV3nh88eMOXOtk6jEZDY3+SRmL0VJB/xeQLOvk0PZb02KBxG0UUwCurv5QumwM /YzBSOZmI7giT0ka7e0lH7AzFCeRqjWV1t/b/IiHtwjKfHmPU6l9cenwbFlTQUND I7XK1uqtSY3mVcIvPpBJRXzS95V8bnBD5x2vR0MNMtpdpU/S/etnMnw3yAvh2pr6 FUlQzxCkb4FvPJKdR0nfg== X-ME-Sender: X-ME-Proxy-Cause: gggruggvucftvghtrhhoucdtuddrgeefvddrtddtgdefuddtfeehucetufdoteggodetrf dotffvucfrrhhofhhilhgvmecuhfgrshhtofgrihhlpdggtfgfnhhsuhgsshgtrhhisggv pdfurfetoffkrfgpnffqhgenuceurghilhhouhhtmecufedttdenucenucfjughrpefogg ffhffvkffutgesmhdtreerredttdenucfhrhhomhepfdforghhughiuceurghhrhgrmhhi fdcuoehpghhsqhhlsehmrghhughisghmrdgtohhmqeenucggtffrrghtthgvrhhnpeejgf eutdejueeiieeggfevtddvfeevudeugfdugeehvdeuudffffdvtdekjefgieenucffohhm rghinhepghhithhhuhgsrdgtohhmpdhsfihifhhtrdhorhhgnecuvehluhhsthgvrhfuih iivgeptdenucfrrghrrghmpehmrghilhhfrhhomhepphhgshhqlhesmhgrhhguihgsmhdr tghomhdpnhgspghrtghpthhtohepuddpmhhouggvpehsmhhtphhouhhtpdhrtghpthhtoh epphhgshhqlhdqphgvrhhfohhrmhgrnhgtvgeslhhishhtshdrphhoshhtghhrvghsqhhl rdhorhhg X-ME-Proxy: Feedback-ID: ib7d648f3:Fastmail Received: by mailuser.phl.internal (Postfix, from userid 501) id 74792C40061; Thu, 15 May 2025 12:29:10 -0400 (EDT) X-Mailer: MessagingEngine.com Webmail Interface MIME-Version: 1.0 X-ThreadId: T9df08ae4920d62bd Date: Thu, 15 May 2025 19:58:50 +0330 From: "Mahdi Bahrami" To: pgsql-performance@lists.postgresql.org Message-Id: <9649fa2b-4664-4ff2-9da1-17d9b89ed44a@app.fastmail.com> Subject: Database creation performance drop going from pg 14 to pg 15+ Content-Type: multipart/mixed; boundary=0a4581b772fb460d83d953ac1173156b List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Archived-At: Precedence: bulk --0a4581b772fb460d83d953ac1173156b Content-Type: multipart/alternative; boundary=b5ad55d844644078a369722a6de7a0a0 --b5ad55d844644078a369722a6de7a0a0 Content-Type: text/plain Content-Transfer-Encoding: 7bit This is about a performance issue / unexpected behavior that I found when investigating https://github.com/vapor/postgres-nio/issues/506. The related message to this thread is https://github.com/vapor/postgres-nio/issues/506#issuecomment-2883158951. As a TL;DR about that issue, a user reported a performance problem when going from postgres 13 to any postgres' higher, and upon my investigations, the main issue turned out to be the fact that pg 13 docker images default to md5 auth, and postgres 14+ default to scram-sha-256. The library had an unoptimized scram-sha-256 implementation, which has since been resolved, making the auth almost as fast as md5, so the main problem is resolved. The other problem is what I have questions about. It's a performance regression noticed in pg 15 and higher, with pg 13 and 14 being faster than 15+, that i mentioned in https://github.com/vapor/postgres-nio/issues/506#issuecomment-2883158951. To set things up, the project used to reproduce all these is https://github.com/finestructure/pg-perf-regression.git, branch `check-fixes`. You can run the benchmark using the `./run-perf-test.sh` script (a simple one). But you need to have a recent Swift installed (see https://swift.org, use swiftly) and docker running. Then try running the script using `./run-perf-test.sh 14 test1` with `14` being the postgres version. The problem can be seen in the 2 captures attached to this email. Each capture contains 2 runs of `test1`. In the code in the repository, and also in the packet captures, you can see that each run of `test1`, runs the queries below in order, one by one: first connection: ``` DROP DATABASE IF EXISTS spi_test WITH (FORCE) ``` ``` CREATE DATABASE spi_test ``` second connection the same as first connection. third connection: ``` DROP DATABASE IF EXISTS spi_test_snapshot WITH (FORCE) ``` ``` CREATE DATABASE spi_test_snapshot TEMPLATE spi_test ``` all these only for the first run. As mentioned, there are 2 rounds in each capture. Here is an image from each capture: First one. pg 15. Last message is 50ms after the first message. Second one. pg 14. Last message is 37ms after the first message. All while the environment and all being the same. Same image arch, same code same everything. Official alpine docker images. Run on a M1 MacBook. I've even confirmed the messages in both captures are as identical as possible at Postgres level (e.g. obviously the md5 hashes of the authentication don't match). The difference in the time comes from the `CREATE DATABASE spi_test` query. It appears that query takes 15ms in postgres 14 and 28ms in postgres 15 from the query-send till the response-send messages, which means almost twice as slow. The slowness comes after the library is done sending the query, which means the library cannot be at fault (taking all I explained above into account). This issue is not necessarily a big deal to us, but can anyone please explain the why? Or a fix/workaround? Maybe some kind of default setting changes between pg 14 and 15 that results in this performance regression?! --b5ad55d844644078a369722a6de7a0a0 Content-Type: multipart/related; boundary=49691aee8e014affbcd26c7c96d42db2; type="text/html" --49691aee8e014affbcd26c7c96d42db2 Content-Type: text/html Content-Transfer-Encoding: quoted-printable
This is abou= t a performance issue / unexpected behavior that I found when investigat= ing ht= tps://github.com/vapor/postgres-nio/issues/506.
The relate= d message to this thread is 
https://gi= thub.com/vapor/postgres-nio/issues/506#issuecomment-2883158951.
As a TL;DR about that issue, a user reported a performance pr= oblem when going from postgres 13 to any postgres' higher, and upon my i= nvestigations, the main issue turned out to be the fact that pg 13 docke= r images default to md5 auth, and postgres 14+ default to scram-sha-256.= The library had an unoptimized scram-sha-256 implementation, which= has since been resolved, making the auth almost as fast as md5, so the = main problem is resolved.

The other proble= m is what I have questions about. It's a performance regression noticed = in pg 15 and higher, with pg 13 and 14 being faster than 15+, that i men= tioned in https://github.com/vapor/postgres-nio/issues= /506#issuecomment-2883158951.

To set things= up, the project used to reproduce all these is https://github.com/fine= structure/pg-perf-regression.git, branch `check-fixes`. You can run = the benchmark using the `./run-perf-test.sh` script (a simple one). But = you need to have a recent Swift installed (see https://swift.org, use swiftly) and docker running. Then try ru= nning the script using 
=
./run-perf-test.sh 14 test1
with `14` be= ing the postgres version.

The problem can be seen in the 2 captur= es attached to this email. Each capture contains 2 runs of `test1`.
I= n the code in the repository, and also in the packet captures, you can s= ee that each run of `test1`, runs the queries below in order, one by one= :
first connection:
```
DROP DATABASE = IF EXISTS spi_test WITH (FORCE)
```
```
CREATE DATABASE spi_test
```
second connection the same as first connect= ion.
third connection:
```
DROP DATABA= SE IF EXISTS spi_test_snapshot WITH (FORCE)
```
```
CREATE DATABASE spi= _test_snapshot TEMPLATE spi_test
```
=
all these only for the first run. As mentioned, there are 2 rounds = in each capture.

Here is an image from each capture:

First= one. pg 15. Last message is 50ms after the first message.
Sec= ond one. pg 14. Last message is 37ms after the first message.
<= /div>

All while t= he environment and all being the same. Same image arch, same code same e= verything. Official alpine docker images. Run on a M1 MacBook. I've even= confirmed the messages in both captures are as identical as possible at= Postgres level (e.g. obviously the md5 hashes of the authentication don= 't match).

The difference in the time comes fro= m the `CREATE DATABASE spi_test` query. It appears that query takes 15ms= in postgres 14 and 28ms in postgres 15 from the query-send till the res= ponse-send messages, which means almost twice as slow. The slowness come= s after the library is done sending the query, which means the library c= annot be at fault (taking all I explained above into account).

Th= is issue is not necessarily a big deal to us, but can anyone please expl= ain the why? Or a fix/workaround?
Maybe some kind of default s= etting changes between pg 14 and 15 that results in this performance reg= ression?!



<= br>
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