Richard Huxton wrote:
Dirk Lutzebäck wrote:
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Hi,
I do not under stand the following explain output (pgsql 8.0.3):
explain analyze
select b.e from b, d
where b.r=516081780 and b.c=513652057 and b.e=d.e;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------
Nested Loop (cost=0.00..1220.09 rows=1 width=4) (actual
time=0.213..2926.845 rows=324503 loops=1)
-> Index Scan using b_index on b (cost=0.00..1199.12 rows=1
width=4) (actual time=0.104..17.418 rows=3293 loops=1)
Index Cond: (r = 516081780::oid)
Filter: (c = 513652057::oid)
-> Index Scan using d_e_index on d (cost=0.00..19.22 rows=140
width=4) (actual time=0.009..0.380 rows=99 loops=3293)
Index Cond: ("outer".e = d.e)
Total runtime: 3638.783 ms
(7 rows)
Why is the rows estimate for b_index and the nested loop 1? It is
actually 3293 and 324503.
I'm guessing (and that's all it is) that b.r and b.c have a higher
correlation than the planner is expecting. That is, it expects the
b.c=... to reduce the number of matching rows much more than it is.
Try a query just on WHERE b.r=516081780 and see if it gets the estimate
right for that.
If it's a common query, it might be worth an index on (r,c)
--
Richard Huxton
Archonet Ltd
Thanks Richard, dropping the join for b.c now gives better estimates (it
also uses a different index now) although not accurate (off by factor
10). This query is embedded in a larger query which now got a 1000 times
speed up (!) because I can drop b.c because it is redundant.
Though, why can't the planner see this correlation? I think somebody
said the planner does not know about multiple column correlations, does it?
Regards,
Dirk
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