Would love to hear more experiences here - Maybe some from
Astronomer, Amazon, Google  ? I know all of them use Postgres a lot, and
have some Airflow 3 experiences already :) ?

On Thu, Oct 23, 2025 at 11:08 AM Blain David <[email protected]>
wrote:

> We still use PGBouncer in Airflow 3, as we already used it for Airflow 2,
> but also because we use YugabyteDB, there we would need to install the
> Yugabyte specific Postgres driver if we would want to ditch PGBouncer,
> which we don't know what the effects would be as Yugabyte isn't
> (officially) supported on Airflow, but we are planning to test that in the
> future.
>
> -----Original Message-----
> From: Jarek Potiuk <[email protected]>
> Sent: 23 October 2025 09:59
> To: [email protected]
> Subject: Re: [DISCUSS] Using PGBouncer vs, SQL Alchemy pooling in Airflow
> 3 ?
>
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>
> Thanks Jorrick - very interesting perspective.. I wonder if others have
> other experiences/thoughts they can share about it :)
>
> On Wed, Oct 22, 2025 at 11:50 PM Jorrick Sleijster <[email protected]>
> wrote:
>
> > Hey all,
> >
> > My two cents;
> >
> > Most likely, this is very specific to our setup, though it was good to
> > share nonetheless.
> > We use an internally managed HA Postgres cluster. Primary fail-overs
> > for this cluster are handled through DNS changes.
> > Furthermore, during maintenance on networking or data centers which
> > could impact the primary, we switch over the primary to another data
> > center as an extra precaution.
> > There is a slight difference in how the tools react:
> > - SQLAlchemy is reactive to DNS changes, waiting for a failure of a
> > connection before doing another DNS lookup. Furthermore, the
> > SQLAlchemy DNS lookup could potentially hit the DNS Cache of the
> > machine if the DNS record still has an active TTL.
> > - PGBouncer does (configurable) pro-active DNS lookups, thereby upon
> > fail-overs it is considerably faster to pick-up the new DNS name and
> > AIrflow never notices.
> >
> > Given we are not on Airflow 3 yet, I can not judge on the connection
> > pooling with a full picture and whether SQLAlchemy or PGBouncer would
> > be better.
> > What I can say is having connection pooling on in Airflow and
> > PGBouncer gave us quite some headachages with scaling & limits while
> > not having any benefits.
> > And although I'm stating the obvious; going from no connection pooling
> > to enabling connection pooling gave some db-heavy processes a 10x
> > performance boost on machines with a local Postgres database.
> >
> > Therefore, my opinion on the matter is that it depends on the database
> > setup, but the preferred setup should be *enable either of them, not
> both*.
> >
> > Kind regards,
> > Jorrick Sleijster
> >
> >
> > Op ma 20 okt 2025 om 20:30 schreef Jarek Potiuk <[email protected]>:
> >
> > > Hello Here,
> > >
> > > I wonder if people have some thoughts (experiences?) about using
> > PGBouncer
> > > for Airflow 3 ? People are asking questions - for example here
> > > https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgi
> > > thub.com%2Fapache%2Fairflow%2Fdiscussions%2F56890&data=05%7C02%7Cdav
> > > id.blain%40infrabel.be%7C2cb1dfd0cfbb47e8ad3a08de120a1006%7Cb82bc314
> > > ab8e4d6fb18946f02e1f27f2%7C0%7C0%7C638968031591893364%7CUnknown%7CTW
> > > FpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMi
> > > IsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=fVqKPrQCopG5%2
> > > BTSlaergm2N%2BiYssbKe%2BcK%2BlNqPHywY%3D&reserved=0
> > >
> > > While in Airflow 2 PGBouncer was pretty much mandatory (due to
> > > workers using direct connections) - this is (likely) different story
> > > for Airflow
> > 3.
> > > I guess we should be able to (finally) - properly configure
> > > SQLAlchemy connection pools (how big? what's proper?) and PGBouncer
> > > might be simply unnecessary (leading to likely a bit less complex and
> faster deployment).
> > >
> > > Do people have thoughts / experience about it, I wonder?
> > >
> >
>
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