Thanks! We try to be very open and explicit about why we chose AGPL. Personally, I like it because it's an extension of GPL, which is a huge reason why I was able to self-teach programming. Just trying to give back.

by definition connection poolers re-use connections so it it can happen with any connection pooling setup, PG or no.

in pgbouncer the connection is reset via a customisable command [0] which should reset the connection to a clean state.

[0] https://www.pgbouncer.org/config.html#server_reset_query

It's not unique to postgres, as others have said; the same thing can happen with e.g. MySQL poolers/proxies/etc., since the behavior of the connection can be changed dynamically and it persists for the lifetime of the connection.

Example: legacy client A connects to MySQL via the bouncer and says 'I want all of our conversations to use latin-1, not utf-8'. This changes the character set that MySQL parses queries with and returns responses in. The legacy client does some queries and then disconnects.

Now a new client connects to MySQL, and the bouncer just assigns it to the still-open connection from before. The new client is fully UTF-8 compatible and since this is the default for our database it doesn't explicitly say so; it just assumes that UTF-8 is the way to go. Unfortunately, the database server is still thinking in latin-1, meaning that if this new client sends UTF-8 data it will be parsed as latin-1; latin-1 is a subset of UTF-8, meaning that queries will actually work fine unless they need to use a character outside of latin-1, in which case they will get an error, or corrupted data, from the server.

The only solutions around this are:

1. Ensure that every client is using the same settings; if your database is for a single app that uses the same ORM, then this is automatic.

2. Ensure that every client is always explicit about everything it might need to change e4very time, so that every UTF-8 client explicitly sets UTF-8 connections even when that's the default; clients that need utf8mb4 ask for it explicitly and clients that can't handle it ask for something else. One way of ensuring this happens is to configure the server (or the bouncer) to use defaults which are not valid for anyone, or which are going to cause errors frequently and not rarely (e.g. setting the default character set to 7-bit swedish, which would cause frequent errors).

3. Use a bouncer which can either disallow these changes or detect and revert them after the original client has disconnected. I'm not sure if this exists for MySQL at least.

4. Use separate bouncers for each application that might be different (extension of #1); in other words, instead of having a bouncer or set of bouncers for each pool of database servers, you have them for each application; your web app gets one, your legacy reporting tool gets one, your ODBC connector gets one, and so on.

It's kind of a huge mess in theory; in practice, a lot of installations fall into the #1 case so it never matters, but that makes the occasional instance where it does matter extremely difficult to debug.

pgbouncer has different pool modes you can pick from that have some impact over what's possible to leak https://www.pgbouncer.org/features.html

Yes, as a consequence of how aggressively transparent to the postgres wire protocol pgbouncer wants to be. This article does a good job explaining it: https://www.augusteo.com/blog/how-pgbouncer-works

You'll see this kind of fun in other databases that support "persistent connections." When you start up, you have absolutely no idea what the state of the database is. If a previous process errored out, you might find yourself in the middle of a broken transaction for example. Did the last session do some weird SET magic to make things work? Did it create temporary tables? Well guess what, it's all still there!

I don't think so. Too much trouble. Caching is a really hard problem without context, and the context, typically, is app-specific.

I hope not. It introduces a lot more problems than it solves.

From the strictest CAP theorem definition, that's correct, it is not. But, it's pretty close. I know that in the database world, that's not a good answer, but in practice, it will deliver the vast majority of messages, so maybe that's good enough? We'll see.

We show that it's possible to come close without breaking the DB or the app, but I suspect, it's not quite yet at the level you'd expect from a _durable_ work queue, e.g., Kafka. Not going to replace that one anytime soon.

Well tbf pgdog looks extremely amazing on paper and goes way beyond multi threading.

The notify/listen fix and automatic query routing to read replicas and auto sharding might bringt Postgres finally closer to vitess

Handling cursors is tough - they are very much session-level objects, so even if we, say, pinned your client while it uses that cursor, which would work, that would decrease the performance of connection pooling overall.

So, what's better, breaking your app initially so you know to remove that feature, or letting it work silently while the connection pool isn't 100% in transaction mode? Tough call.

Using server-side cursors is a sign of bad design. You use the PostgreSQL server's resources as a cache when you're fetching and processing stuff row by row, which is very bad. Just get the data you requested in the first place in one go and do your stuff in your app. Or process all data on the server and then get the processed data in one batch as well.