Dmitry Lazurkin <dila...@gmail.com> writes:
> I am trying to find workaround for cross-column statistics.
> ...
> Worn estimate. Planner doesn't use statistics. In code I see usage of
> function scalargtsel which returns default selectivity because
> ROW('tag1', 0.9)::tag_sim is not Const.
Yeah, that's because eval_const_expressions doesn't know how to fold
a constant RowExpr to a simple Const. I have a patch laying about
someplace to improve that, but I keep forgetting about it until
we're in beta phase :-(. In the meantime you could perhaps do the
folding by hand:
regression=# EXPLAIN ANALYZE SELECT * FROM tags WHERE ROW(t, s)::tag_sim >=
'(tag1,0.9)'::tag_sim AND
ROW(t, s)::tag_sim <= '(tag1,1.0)'::tag_sim;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------
Index Scan using tags_composite on tags (cost=0.29..8.30 rows=1 width=13)
(actual time=0.051..0.051 rows=0 loops=1)
Index Cond: ((ROW(t, s)::tag_sim >= '(tag1,0.9)'::tag_sim) AND (ROW(t,
s)::tag_sim <= '(tag1,1)'::tag_sim))
Planning time: 0.230 ms
Execution time: 0.110 ms
(4 rows)
regards, tom lane
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