Re: Default setting for enable_hashagg_disk
Peter Geoghegan <pg@bowt.ie>
From: Peter Geoghegan <pg@bowt.ie>
To: Tomas Vondra <tomas.vondra@2ndquadrant.com>
Cc: Tom Lane <tgl@sss.pgh.pa.us>, Jeff Davis <pgsql@j-davis.com>, Alvaro Herrera <alvherre@2ndquadrant.com>,
David Rowley <dgrowleyml@gmail.com>, Stephen Frost <sfrost@snowman.net>, Andres Freund <andres@anarazel.de>, Bruce Momjian <bruce@momjian.us>, Robert Haas <robertmhaas@gmail.com>, Justin Pryzby <pryzby@telsasoft.com>,
Melanie Plageman <melanieplageman@gmail.com>, "pgsql-hackers@postgresql.org" <pgsql-hackers@postgresql.org>
Date: 2020-07-24T02:33:45Z
Lists: pgsql-hackers, pgsql-docs
On Thu, Jul 23, 2020 at 6:22 PM Tomas Vondra <tomas.vondra@2ndquadrant.com> wrote: > So let me share some fresh I/O statistics collected on the current code > using iosnoop. I've done the tests on two different machines using the > "aggregate part" of TPC-H Q17, i.e. essentially this: > > SELECT * FROM ( > SELECT > l_partkey AS agg_partkey, > 0.2 * avg(l_quantity) AS avg_quantity > FROM lineitem GROUP BY l_partkey OFFSET 1000000000 > ) part_agg; > > The OFFSET is there just to ensure we don't need to send anything to > the client, etc. Thanks for testing this. > So sort writes ~3.4GB of data, give or take. But hashagg/master writes > almost 6-7GB of data, i.e. almost twice as much. Meanwhile, with the > original CP_SMALL_TLIST we'd write "only" ~5GB of data. That's still > much more than the 3.4GB of data written by sort (which has to spill > everything, while hashagg only spills rows not covered by the groups > that fit into work_mem). What I find when I run your query (with my own TPC-H DB that is smaller than what you used here -- 59,986,052 lineitem tuples) is that the sort required about 7x more memory than the hash agg to do everything in memory: 4,384,711KB for the quicksort vs 630,801KB peak hash agg memory usage. I'd be surprised if the ratio was very different for you -- but can you check? I think that there is something pathological about this spill behavior, because it sounds like the precise opposite of what you might expect when you make a rough extrapolation of what disk I/O will be based on the memory used in no-spill cases (as reported by EXPLAIN ANALYZE). > What I find really surprising is the costing - despite writing about > twice as much data, the hashagg cost is estimated to be much lower than > the sort. For example on the i5 machine, the hashagg cost is ~10M, while > sort cost is almost 42M. Despite using almost twice as much disk. And > the costing is exactly the same for master and the CP_SMALL_TLIST. That does make it sound like the costs of the hash agg aren't being represented. I suppose it isn't clear if this is a costing issue because it isn't clear if the execution time performance itself is pathological or is instead something that must be accepted as the cost of spilling the hash agg in a general kind of way. -- Peter Geoghegan
Commits
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Add hash_mem_multiplier GUC.
- d6c08e29e7bc 14.0 landed
- 78530c8e7a5a 13.0 landed
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HashAgg: use better cardinality estimate for recursive spilling.
- 3a232a3183d5 13.0 landed
- 9878b643f37b 14.0 landed
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Remove hashagg_avoid_disk_plan GUC.
- bcbf9446a298 14.0 landed
- 5a6cc6ffa914 13.0 landed
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Doc fixup for hashagg_avoid_disk_plan GUC.
- d33f33539d7f 13.0 landed
- 7ce461560159 14.0 landed
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Rework HashAgg GUCs.
- 13e0fa7ae50c 13.0 landed
- 92c58fd94801 14.0 landed
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Disk-based Hash Aggregation.
- 1f39bce02154 13.0 cited
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Implement partition-wise grouping/aggregation.
- e2f1eb0ee30d 11.0 cited
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Defer creation of partially-grouped relation until it's needed.
- 4f15e5d09de2 11.0 cited