Re: gist_trgm_ops '=' operator: planner picks it over btree, ~300x slower - Mailing list pgsql-hackers
| From | Andrew Dunstan |
|---|---|
| Subject | Re: gist_trgm_ops '=' operator: planner picks it over btree, ~300x slower |
| Date | |
| Msg-id | ab8db543-bf0c-4a80-8d04-fe6eac817f3c@dunslane.net Whole thread |
| Responses |
Re: gist_trgm_ops '=' operator: planner picks it over btree, ~300x slower
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| List | pgsql-hackers |
On 2026-09-02 We 9:29 AM, Andrew Dunstan wrote: > > On 2026-09-02 We 9:00 AM, Alexander Korotkov wrote: >> Hi, Vaibhav! >> >> On Wed, Sep 2, 2026 at 2:12 PM Vaibhav Dalvi >> <vaibhav.dalvi@enterprisedb.com> wrote: >>> I would like to raise an old issue again. David Rowley reported >>> this same problem back on 2024-09-17, in this[1] thread, but it did not >>> get any replies. >>> >>> I am hitting the same problem, so I am posting it again with three >>> different patches, since it can badly hurt anyone who has both a >>> btree and a gist_trgm_ops index on the same column. >>> >>> In short: once a table has both a btree index and a gist_trgm_ops >>> index on the same text column, the planner sometimes picks the GiST >>> index for a plain equality (=) query, and that GiST plan can be >>> hundreds of times slower than the btree plan for the exact same >>> query. Below is a small, self-contained test case: >>> >>> create extension if not exists pg_trgm; >>> create table t1 (a varchar(250), b varchar(250), c varchar(250)); >>> create index t1_a_btree on t1 (a); >>> create index t1_a_gist on t1 using gist (a gist_trgm_ops); >>> insert into t1 select md5(a::text),md5(a::text),md5(a::text) from >>> generate_series(1,100000)a; >>> vacuum freeze analyze t1; >>> >>> explain (analyze, buffers) select * from t1 where a = '1234'; >>> QUERY PLAN >>> -------------------------------------------------------------------------------------------------------------------- >>> >>> Index Scan using t1_a_gist on t1 (cost=0.28..8.30 rows=1 >>> width=99) (actual time=15.186..15.187 rows=0.00 loops=1) >>> Index Cond: ((a)::text = '1234'::text) >>> Buffers: shared hit=1583 >>> Execution Time: 15.242 ms >>> (4 rows) >>> >>> -- disabling the GiST index makes the planner fall back to btree, >>> -- and the same query becomes ~355x faster: >>> update pg_index set indisvalid = false where >>> indexrelid='t1_a_gist'::regclass; >>> explain (analyze, buffers) select * from t1 where a = '1234'; >>> QUERY PLAN >>> ------------------------------------------------------------------------------------------------------------------- >>> >>> Index Scan using t1_a_btree on t1 (cost=0.42..8.44 rows=1 >>> width=99) (actual time=0.022..0.022 rows=0.00 loops=1) >>> Index Cond: ((a)::text = '1234'::text) >>> Buffers: shared hit=3 >>> Execution Time: 0.043 ms >>> (4 rows) >>> >>> The estimated cost of both plans is almost the same (8.30 vs 8.44), >>> but the real cost is not even close. The root cause: GiST's cost >>> estimate for '=' on gist_trgm_ops does not reflect the real cost of >>> the scan, so the planner can pick GiST over a much cheaper btree >>> index, even for people who kept both indexes only for other reasons >>> (LIKE queries, for example). >>> >>> I looked at three different ways to fix this: >>> >>> 1) v1-0001-Drop-equality-operator-from-gist_trgm_ops.patch >>> Stops gist_trgm_ops from offering '=' at all (gin_trgm_ops is >>> untouched, its cost estimator was already fixed for the same issue >>> in commit cd9479af2af). Small, but it changes the existing >>> opclass's behavior for anyone already relying on '=' through it. >>> >>> 2) v1-0001-gist-trgm-real-signature-stats.patch >>> Keeps '=' on gist_trgm_ops, and adds a new optional GiST support >>> function so the opclass can correct the planner's estimate using a >>> real measurement sampled from the index's own pages, instead of a >>> guess. It works, but it only helps "column = constant" conditions >>> (not joins), a small index still falls back to a pessimistic >>> guess, and it adds uncached I/O to every planning call. More >>> machinery than I'm comfortable with for this. >>> >>> 3) v1-0001-Add-gist_trgm_ops_noeq.patch >>> Adds a second, independently-named opclass, gist_trgm_ops_noeq, >>> identical to gist_trgm_ops except that it does not register '=' >>> at all. gist_trgm_ops itself is completely untouched; anyone who >>> wants the safety creates new indexes with the new opclass, or >>> rebuilds an existing index onto it, and '=' simply cannot reach it >>> afterward, under any planner settings. No core or planner changes >>> at all, just a SQL/DDL addition. >>> >>> Of the three, (3) is the one I would prefer to take forward. It is >>> the smallest, safest change: nothing existing changes behavior, there >>> is no heuristic or cost-model logic to get wrong, and it is easy to >>> verify its correctness just by looking at the catalog entries. (1) >>> fixes the >>> regression but forces the choice on everyone using gist_trgm_ops for >>> '=' today, and (2) is real but has enough rough edges (documented in >>> that patch) that I would not want to see it committed as-is. >>> >>> Would appreciate the community's view on this, or any other approach >>> I may have missed. >>> >>> Thank you, @Andrew Dunstan for the offline inputs. >> I think 2 looks like the right direction. But I wonder about the cost >> of the cost estimate. Scanning 30 random index pages could be easily >> way more costly than the query execution. What about letting GiST >> opclass store custom statistics which would reflect index quality >> (like key overlapping degree per page level or something), then use it >> for fast scan cost estimation? >> > > Yes, and I think v2 has serious limitations in any case. The best way > forward might be for us to have a new AM hook that lets an opclass > walk its own pages during ANALYZE (bounded, since ANALYZE is already > expected to do I/O and is rate-limited by autovacuum, unlike planning) > and persist something like your per-level overlap measure through that > same path. > > But that's a large project. > > Meanwhile users encountering the problem can create the new > opfamily/opclass for themselves as in patch 3, and the recreate their > indexes using the new opclass. Or we could adopt patch 3 of we decide > not to go for a more thorough solution. > > > In the absence of further discussion, I suggest Vaibhav creates a CF entry for item 3. It will cost almost nothing and provide users a reasonable way forward. cheers andrew -- Andrew Dunstan EDB: https://www.enterprisedb.com
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