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help / color / mirror / Atom feedFrom: bertrand HARTWIG <[email protected]>
To: Ron Johnson <[email protected]>
Cc: Pgsql-admin <[email protected]>
Subject: Re: About asynchronous I/O
Date: Tue, 23 Jun 2026 14:19:14 +0200
Message-ID: <[email protected]> (raw)
In-Reply-To: <CANzqJaAKAzYaGfPFLzt4ZZDs6sE5KGWuMmGWQ1oQYeC-wzHk_A@mail.gmail.com>
References: <CALAkhNX_6OttLJa7X+0wA7vx+wVCUMHjNcgg+2fjw=_Z3CXTKg@mail.gmail.com>
<[email protected]>
<CANzqJaAKAzYaGfPFLzt4ZZDs6sE5KGWuMmGWQ1oQYeC-wzHk_A@mail.gmail.com>
Very usefull on SSD AND nvme ! (low latency on IOPs). But the higher the disk latency, the greater the gains you will notice.
On SSD i observed 200%
> Le 23 juin 2026 à 14:02, Ron Johnson <[email protected]> a écrit :
>
> On Tue, Jun 23, 2026 at 7:26 AM bertrand HARTWIG <[email protected] <mailto:[email protected]>> wrote:
>> Hello,
>>
>> The size of the database is clearly not important.
>>
>> What matters are queries that are not already cached and that perform I/O.
>>
>> With async I/O, you can see I/O performance improvements of up to 200%–300%. The higher the disk latency, the greater the gains you will notice.
>>
>
> So, not so useful on SSD/NVMe?
>
>> Regards,
>>
>> Bertrand
>>
>>
>>> Le 23 juin 2026 à 09:55, ek ek <[email protected] <mailto:[email protected]>> a écrit :
>>>
>>> Hello everyone,
>>> Are any of you running PostgreSQL 18 on production environments sized between 1 to 3TB? Does the 'asynchronous I/O (AIO) subsystem' deliver a significant performance increase? Also, has anyone had the opportunity to benchmark it against v17?
>>
>
>
>
> --
> Death to <Redacted>, and butter sauce.
> Don't boil me, I'm still alive.
> <Redacted> lobster!
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