Re: POC, WIP: OR-clause support for indexes
Alena Rybakina <a.rybakina@postgrespro.ru>
Commits
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the thread's linked commits as JSON, with link sources.
API reference →
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Make group_similar_or_args() reorder clause list as little as possible
- 775a06d44c04 18.0 landed
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Allow usage of match_orclause_to_indexcol() for joins
- 627d63419e22 18.0 landed
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Skip not SOAP-supported indexes while transforming an OR clause into SAOP
- 5bba0546eecb 18.0 landed
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Remove the wrong assertion from match_orclause_to_indexcol()
- d4d11940df94 18.0 landed
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Teach bitmap path generation about transforming OR-clauses to SAOP's
- ae4569161a27 18.0 landed
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Transform OR-clauses to SAOP's during index matching
- d4378c0005e6 18.0 landed
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Fix the value of or_to_any_transform_limit in postgresql.conf.sample
- 2af75e117478 17.0 landed
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Transform OR clauses to ANY expression
- 72bd38cc99a1 17.0 landed
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MergeAttributes code deduplication
- 64444ce071f6 17.0 cited
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SEARCH and CYCLE clauses
- 3696a600e229 14.0 cited
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Improve estimation of OR clauses using extended statistics.
- 25a9e54d2db3 14.0 cited
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Teach btree to handle ScalarArrayOpExpr quals natively.
- 9e8da0f75731 9.2.0 cited
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Revise collation derivation method and expression-tree representation.
- b310b6e31ce5 9.1.0 cited
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Instead of trying to force WHERE clauses into CNF or DNF normal form,
- 9888192fb773 8.0.0 cited
Hi! Thank you for your feedback! On 25.10.2023 22:54, Robert Haas wrote: > On Sat, Oct 14, 2023 at 6:37 PM Alexander Korotkov<aekorotkov@gmail.com> wrote: >> Regarding the GUC parameter, I don't see we need a limit. It's not >> yet clear whether a small number or a large number of OR clauses are >> more favorable for transformation. I propose to have just a boolean >> enable_or_transformation GUC. > That's a poor solution. So is the GUC patch currently has > (or_transform_limit). What you need is a heuristic that figures out > fairly reliably whether the transformation is going to be better or > worse. Or else, do the whole thing in some other way that is always > same-or-better. > > In general, adding GUCs makes sense when the user knows something that > we can't know. For example, shared_buffers makes some sense because, > even if we discovered how much memory the machine has, we can't know > how much of it the user wants to devote to PostgreSQL as opposed to > anything else. And track_io_timing makes sense because we can't know > whether the user wants to pay the price of gathering that additional > data. But GUCs are a poor way of handling cases where the real problem > is that we don't know what code to write. In this case, some queries > will be better with enable_or_transformation=on, and some will be > better with enable_or_transformation=off. Since we don't know which > will work out better, we make the user figure it out and set the GUC, > possibly differently for each query. That's terrible. It's the query > optimizer's whole job to figure out which transformations will speed > up the query. It shouldn't turn around and punt the decision back to > the user. > > Notice that superficially-similar GUCs like enable_seqscan aren't > really the same thing at all. That's just for developer testing and > debugging. Nobody expects that you have to adjust that GUC on a > production system - ever. I noticed that the costs of expressions are different and it can help to assess when it is worth leaving the conversion, when not. With small amounts of "OR" elements, the cost of orexpr is lower than with "ANY", on the contrary, higher. postgres=# SET or_transform_limit = 500; EXPLAIN (analyze) SELECT oid,relname FROM pg_class WHERE oid = 13779 AND (oid = 2 OR oid = 4 OR oid = 5) ; SET QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------ Index Scan using pg_class_oid_index on pg_class (*cost=0.27..8.30* rows=1 width=68) (actual time=0.105..0.106 rows=0 loops=1) Index Cond: (oid = '13779'::oid) Filter: ((oid = '2'::oid) OR (oid = '4'::oid) OR (oid = '5'::oid)) Planning Time: 0.323 ms Execution Time: 0.160 ms (5 rows) postgres=# SET or_transform_limit = 0; EXPLAIN (analyze) SELECT oid,relname FROM pg_class WHERE oid = 13779 AND (oid = 2 OR oid = 4 OR oid = 5) ; SET QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------- Index Scan using pg_class_oid_index on pg_class (*cost=0.27..16.86* rows=1 width=68) (actual time=0.160..0.161 rows=0 loops=1) Index Cond: ((oid = ANY (ARRAY['2'::oid, '4'::oid, '5'::oid])) AND (oid = '13779'::oid)) Planning Time: 4.515 ms Execution Time: 0.313 ms (4 rows) Index Scan using pg_class_oid_index on pg_class (*cost=0.27..2859.42* rows=414 width=68) (actual time=1.504..34.183 rows=260 loops=1) Index Cond: (oid = ANY (ARRAY['1'::oid, '2'::oid, '3'::oid, '4'::oid, '5'::oid, '6'::oid, '7'::oid, Bitmap Heap Scan on pg_class (*cost=43835.00..54202.14* rows=414 width=68) (actual time=39.958..41.293 rows=260 loops=1) Recheck Cond: ((oid = '1'::oid) OR (oid = '2'::oid) OR (oid = '3'::oid) OR (oid = '4'::oid) OR (oid = I think we could see which value is lower, and if lower with expressions converted to ANY, then work with it further, otherwise work with the original "OR" expressions. But we still need to make this conversion to find out its cost. In addition, I will definitely have to postpone the transformation of "OR" to "ANY" at the stage of creating indexes (?) or maybe a little earlier so that I have to count only the cost of the transformed expression.