Re: Add the ability to limit the amount of memory that can be allocated to backends. - Mailing list pgsql-hackers

From Jim Nasby
Subject Re: Add the ability to limit the amount of memory that can be allocated to backends.
Date
Msg-id 967BCFAB-D931-46DE-933B-5BD32064E49D@upgrade.com
Whole thread Raw
In response to Re: Add the ability to limit the amount of memory that can be allocated to backends.  (Tomas Vondra <tomas@vondra.me>)
Responses Re: Add the ability to limit the amount of memory that can be allocated to backends.
Re: Add the ability to limit the amount of memory that can be allocated to backends.
List pgsql-hackers

On Dec 31, 2024, at 5:41 PM, Tomas Vondra <tomas@vondra.me> wrote:

On 12/31/24 21:46, Jim Nasby wrote:
On Dec 30, 2024, at 7:05 PM, James Hunter <james.hunter.pg@gmail.com> wrote:

On Sat, Dec 28, 2024 at 11:24 PM Jim Nasby <jnasby@upgrade.com> wrote:

IMHO none of this will be very sane until we actually have cluster-level limits. One sudden burst in active connections and you still OOM the instance.

Fwiw, PG does support "max_connections" GUC, so a backend/connection -
level limit, times "max_connections", yields a cluster-level limit.

max_connections is useless here, for two reasons:

1. Changing it requires a restart. That’s at *best* a real PITA in production. [1]
2. It still doesn’t solve the actual problem. Unless your workload *and* your data are extremely homogeneous you can’t simply limit the number of connections and call it a day. A slight change in incoming queries, OR in the data that the queries are looking at and you go from running fine to meltdown. You don’t even need a plan flip for this to happen, just the same plan run at the same rate but now accessing more data than before.


I really don't follow your argument ...

Yes, changing max_connections requires a restart - so what? AFAIK the
point James was making is that if you multiply max_connections by the
per-backend limit, you get a cluster-wide limit. And presumably the
per-backend limit would be a GUC not requiring a restart.

Yes, high values of max_connections are problematic. I don't see how a
global limit would fundamentally change that. In fact, it could
introduce yet more weird failures because some unrelated backend did
something weird.

That’s basically my argument for having workload management. If a system becomes loaded enough for the global limit to start kicking in it’s likely that query response time is increasing, which means you will soon have more and more active backends trying to run queries. That’s just going to make the situation even worse. You’d either have to start trying to “take memory away” from already running backends or backends that are just starting would have such a low limit as to cause them to spill very quickly, creating further load on the system.

FWIW I'm not opposed to having some global memory limit, but as I
explained earlier, I don't see a way to do that sensibly without having
a per-backend limit first. Because if you have a global limit, a single
backend consuming memory could cause all kinds of weird failures in
random other backends.

I agree, but I’m also not sure how much a per-backend limit would actually help on its own, especially in OLTP environments.

Most of what I’ve seen on this thread is discussing ways to *optimize* how much memory the set of running backends can consume. Adjusting how you slice the memory pie across backends, or even within a single backend, is optimization. While that’s a great goal that I do support, it will never fully fix the problem. At some point you need to either throw your hands in the air and start tossing memory errors, because you don’t have control over how much work is being thrown at the engine. The only way that the engine can exert control over that would be to hold new transactions from starting when the system is under duress (ie, workload management). While workload managers can be quite sophisticated (aka, complex), the nice thing about limiting this scope to work_mem, and only as a means to prevent complete overload, is that the problem becomes a lot simpler since you’re only looking at one metric and not trying to support any kind of priority system. The only fanciness I think an MVP would need is a GUC to control how long a transaction can sit waiting before it throws an error. Frankly, that sounds a lot less complex and much easier for DBAs to adjust than trying to teach the planner how to apportion out per-node work_mem limits.

As I said, I’m not opposed to optimizations, I just think they’re very much cart-before-the-horse.


What optimization? I didn't notice anything like that. I don't see how
"adjusting how you slice the memory pie across backends" counts as an
optimization. I mean, that's exactly what a memory limit is meant to do.

Similarly, there was a proposal to do planning with work_mem, and then
go back and adjust the per-node limits to impose a global limit. That
does not seem like an optimization either ... (more an opposite of it).

It’s optimization in that you’re trying to increase how many active backends you can have before getting memory errors. It’s an alternative to throwing more memory at the problem or limiting the rate of incoming workload.

1: While it’d be a lot of work to make max_connections dynamic one thing we could do fairly easily would be to introduce another GUC (max_backends?) that actually controls the total number of allowed backends for everything. The sum of max_backends + autovac workers + background workers + whatever else I’m forgetting would have to be less than that. The idea here is that you’d normally run with max_connections set significantly lower than max_backends. That means that if you need to adjust any of these GUCs (other than max_backends) you don’t need to restart - the new limits would just apply to new connection requests.

I don't quite understad how max_backends helps with anything except
allowing to change the limit of connections without a restart, or why
would it be needed for introducing a memory limit. To me those seem very
much like two separate features.

It’s related to this because the number of active backends is directly related to memory consumption. Yet because max_connections requires a restart it’s very hard to actually manage how many active backends you have. Your only option is a single-point connection pool, but that introduces its own problems.

That said, I do think a workload manager would be more effective than trying to limit total connections.

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