On 5/18/22 16:20, Alvaro Herrera wrote:
> On 2022-May-18, Joe Conway wrote:
>
>> On 5/18/22 11:11, Alvaro Herrera wrote:
>
>> > Apparently, if the cgroup goes over the "high" limit, the processes are
>> > *throttled*. Then if the group goes over the "max" limit, OOM-killer is
>> > invoked.
>
>> You may be misinterpreting "throttle" in this context. From [1]:
>>
>> The memory.high boundary on the other hand can be set
>> much more conservatively. When hit, it throttles
>> allocations by forcing them into direct reclaim to
>> work off the excess, but it never invokes the OOM
>> killer.
>
> Well, that means the backend processes don't do their expected task
> (process some query) but instead they have to do "direct reclaim". I
> don't know what that is, but it sounds like we'd need to add
> Linux-specific code in order for this to fix anything.
Postgres does not need to do anything. The kernel just does its thing
(e.g. clearing page cache or swapping out anon memory) more aggressively
than normal to clear up some space for the impending allocation.
> And what would we do in such a situation anyway? Seems like our
> best hope would be to> get malloc() to return NULL and have the
> resulting transaction abort free enough memory that things in other
> backends can continue to run.
With the right hooks an extension could detect the memory pressure in an
OS specific way and return null.
> *If* there is a way to have cgroups make Postgres do that, then that
> would be useful enough.
Memory accounting under cgroups (particularly v2) can provide the signal
needed for a Linux specific extension to do that.
>> > So ditch cgroups.
>>
>> You cannot ditch cgroups if you are running in a container. And in fact most
>> non-container installations these days are also running in a cgroup under
>> systemd.
>
> I just meant that the cgroup abstraction doesn't offer any interfaces
> that we can use to improve this, not that we would be running without
> them.
I agree that cgroups is very Linux specific, so likely we would not want
such code in core.
--
Joe Conway
RDS Open Source Databases
Amazon Web Services: https://aws.amazon.com