Re: POC: GROUP BY optimization
Andrei Lepikhov <a.lepikhov@postgrespro.ru>
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Restore preprocess_groupclause()
- 505c008ca37c 17.0 landed
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Rename PathKeyInfo to GroupByOrdering
- 0c1af2c35c7b 17.0 landed
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Add invariants check to get_useful_group_keys_orderings()
- 91143c03d4ca 17.0 landed
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Fix asymmetry in setting EquivalenceClass.ec_sortref
- 199012a3d844 17.0 landed
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Multiple revisions to the GROUP BY reordering tests
- 874d817baa16 17.0 landed
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Get rid of pg_class usage in SJE regression tests
- e1b7fde418f2 17.0 landed
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Rename index "abc" in aggregates.sql
- b91f91870828 17.0 landed
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Explore alternative orderings of group-by pathkeys during optimization.
- 0452b461bc40 17.0 landed
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Generalize the common code of adding sort before processing of grouping
- 7ab80ac1caf9 17.0 landed
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Fix out-dated comment in preprocess_groupclause()
- f6c70b81802a 15.0 landed
- 78a9af1a2764 16.0 landed
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Force parallelism in partition_aggregate
- 2fe6b2a806f2 16.0 landed
- 01474f56981a 15.0 landed
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Optimize order of GROUP BY keys
- db0d67db2401 15.0 landed
On 20/7/2023 18:46, Tomas Vondra wrote: > On 7/20/23 08:37, Andrey Lepikhov wrote: >> On 3/10/2022 21:56, Tom Lane wrote: >>> Revert "Optimize order of GROUP BY keys". >>> >>> This reverts commit db0d67db2401eb6238ccc04c6407a4fd4f985832 and >>> several follow-on fixes. >>> ... >>> Since we're hard up against the release deadline for v15, let's >>> revert these changes for now. We can always try again later. >> >> It may be time to restart the project. As a first step, I rebased the >> patch on the current master. It wasn't trivial because of some latest >> optimizations (a29eab, 1349d27 and 8d83a5d). >> Now, Let's repeat the review and rewrite the current path according to >> the reasons uttered in the revert commit. > > I think the fundamental task is to make the costing more reliable, and > the commit message 443df6e2db points out a couple challenges in this > area. Not sure how feasible it is to address enough of them ... > > 1) procost = 1.0 - I guess we could make this more realistic by doing > some microbenchmarks and tuning the costs for the most expensive cases. > > 2) estimating quicksort comparisons - This relies on ndistinct > estimates, and I'm not sure how much more reliable we can make those. > Probably not much :-( Not sure what to do about this, the only thing I > can think of is to track "reliability" of the estimates and only do the > reordering if we have high confidence in the estimates. That means we'll > miss some optimization opportunities, but it should limit the risk. For me personally, the most challenging issue is: 3. Imbalance, induced by the cost_sort() changes. It may increase or decrease the contribution of sorting to the total cost compared to other factors and change choice of sorted paths. -- regards, Andrey Lepikhov Postgres Professional