Steve Kehlet <steve.kehlet@gmail.com> writes:
> But for now, the devs are asking me for some way to put a cap on a postgres
> query's total memory consumption. I'm familiar with the available settings
> on the "Resource Consumption" docs (and you can see my settings in my gist
> above, including work_mem turned way down to 1MB for testing), but it seems
> like there are things like Materialize that remain uncappable, since
> they're not constrained by the shared_buffers and work_mem limits.
Materialize nodes should honor the work_mem limit. That's per node of
course, but you only have half a dozen of them in this query, so I doubt
that's where the problem is. You mentioned array_agg ... how are you
using that exactly, and how large a result are you expecting it to create?
If you had an array_agg being used in a HashAggregate plan node, I'd
figure for sure that was the source of your problem, but the explain
output shows it's a GroupAggregate so there should only be one array_agg
active at a time.
Anyway, what I would try doing is starting the postmaster with a "ulimit
-d" value corresponding to the max per-process data segment size you want.
Something in the range of 50-100MB would probably be reasonable if your
queries aren't too complex.
regards, tom lane
