Thank you, Andrew for the response and input.

I will proceed as you suggested.

Thanks,
Vaibhav

On Sat, Oct 3, 2026 at 7:37 PM Andrew Dunstan <[email protected]> wrote:

>
> 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
> >> <[email protected]> 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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