Re: Default setting for enable_hashagg_disk

From: Jeff Davis <pgsql(at)j-davis(dot)com>
To: Tomas Vondra <tomas(dot)vondra(at)2ndquadrant(dot)com>, Peter Geoghegan <pg(at)bowt(dot)ie>
Cc: Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>, Alvaro Herrera <alvherre(at)2ndquadrant(dot)com>, David Rowley <dgrowleyml(at)gmail(dot)com>, Stephen Frost <sfrost(at)snowman(dot)net>, Andres Freund <andres(at)anarazel(dot)de>, Bruce Momjian <bruce(at)momjian(dot)us>, Robert Haas <robertmhaas(at)gmail(dot)com>, Justin Pryzby <pryzby(at)telsasoft(dot)com>, Melanie Plageman <melanieplageman(at)gmail(dot)com>, "pgsql-hackers(at)postgresql(dot)org" <pgsql-hackers(at)postgresql(dot)org>
Subject: Re: Default setting for enable_hashagg_disk
Date: 2020-07-25 17:23:43
Message-ID: 6ba7eb1d35f79314685aba5bc891cec63f617ddb.camel@j-davis.com
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On Fri, 2020-07-24 at 10:40 +0200, Tomas Vondra wrote:
> FWIW one more suspicious thing that I forgot to mention is the
> behavior
> of the "planned partitions" depending on work_mem, which looks like
> this:
>
> 2MB Planned Partitions: 64 HashAgg Batches: 4160
> 4MB Planned Partitions: 128 HashAgg Batches: 16512
> 8MB Planned Partitions: 256 HashAgg Batches: 21488
> 64MB Planned Partitions: 32 HashAgg Batches: 2720
> 256MB Planned Partitions: 8 HashAgg Batches: 8
>
> I'd expect the number of planned partitions to decrease (slowly) as
> work_mem increases, but it seems to increase initially. Seems a bit
> strange, but maybe it's expected.

The space for open-partition buffers is also limited to about 25% of
memory. Each open partition takes BLCKSZ memory, so those numbers are
exactly what I'd expect (64*8192 = 512kB).

There's also another effect at work that can cause the total number of
batches to be higher for larger work_mem values: when we do recurse, we
again need to estimate the number of partitions needed. Right now, we
overestimate the number of partitions needed (to be conservative),
which leads to a wider fan-out and lots of tiny partitions, and
therefore more batches.

I think we can improve this by using something like a HyperLogLog on
the hash values of the spilled tuples to get a better estimate for the
number of groups (and therefore the number of partitions) that we need
when we recurse, which would reduce the number of overall batches at
higher work_mem settings. But I didn't get a chance to implement that
yet.

Regards,
Jeff Davis

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