On Wed, Apr 23, 2008 at 09:58:10AM +0200, A. Kretschmer wrote: > am Wed, dem 23.04.2008, um 9:23:07 +0200 mailte Hans Ekbrand folgendes: > > I cannot understand why the following two queries differ so much in > > execution time (almost ten times) > > wild guess: different execution plans. > > > Can you show us the plans? (EXPLAIN ANALYSE SELECT ...)
Query A (first part)
fektest=> explain analyse select distinct moment.mid from moment,timecard where
parent = 45 and (pid=17 and timecard.mid = moment.mid) order by moment.mid;
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------
Unique (cost=287.66..288.67 rows=203 width=4) (actual time=11.412..11.622
rows=41 loops=1)
-> Sort (cost=287.66..288.16 rows=203 width=4) (actual time=11.409..11.484
rows=57 loops=1)
Sort Key: moment.mid
-> Hash Join (cost=60.98..279.88 rows=203 width=4) (actual
time=2.346..11.182 rows=57 loops=1)
Hash Cond: ("outer".mid = "inner".mid)
-> Seq Scan on timecard (cost=0.00..211.78 rows=1017 width=4)
(actual time=0.031..7.427 rows=995 loops=1)
Filter: (pid = 17)
-> Hash (cost=59.88..59.88 rows=444 width=4) (actual
time=2.127..2.127 rows=0 loops=1)
-> Seq Scan on moment (cost=0.00..59.88 rows=444
width=4) (actual time=0.027..1.825 rows=199 loops=1)
Filter: (parent = 45)
Total runtime: 11.852 ms
(11 rows)
Query A (second part)
fektest=> explain analyse select distinct moment.mid from moment,timecard where
parent = 45 and (pbar = 0) order by moment.mid;
QUERY PLAN
--------------------------------------------------------------------------------------------------------------------------------------
Unique (cost=192.62..3800.67 rows=20 width=4) (actual time=0.578..109.274
rows=2 loops=1)
-> Nested Loop (cost=192.62..3417.57 rows=153240 width=4) (actual
time=0.575..89.546 rows=15324 loops=1)
-> Index Scan using moment_mid_idx on moment (cost=0.00..160.15
rows=20 width=4) (actual time=0.544..3.490 rows=2 loops=1)
Filter: ((parent = 45) AND (pbar = 0))
-> Materialize (cost=192.62..269.24 rows=7662 width=0) (actual
time=0.009..21.998 rows=7662 loops=2)
-> Seq Scan on timecard (cost=0.00..192.62 rows=7662 width=0)
(actual time=0.007..14.554 rows=7662 loops=1)
Total runtime: 109.870 ms
(7 rows)
Query B
fektest=> EXPLAIN ANALYSE SELECT distinct moment.mid from moment,timecard where
parent = 45 and ((pid=17 and timecard.mid = moment.mid) or (pbar = 0)) order by
moment.mid;
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------------
Unique (cost=192.62..102469.31 rows=444 width=4) (actual
time=143.444..4838.067 rows=42 loops=1)
-> Nested Loop (cost=192.62..102405.04 rows=25710 width=4) (actual
time=143.439..4818.215 rows=15379 loops=1)
Join Filter: ((("inner".pid = 17) OR ("outer".pbar = 0)) AND
(("inner".mid = "outer".mid) OR ("outer".pbar = 0)))
-> Index Scan using moment_mid_idx on moment (cost=0.00..154.58
rows=444 width=8) (actual time=0.390..5.954 rows=199 loops=1)
Filter: (parent = 45)
-> Materialize (cost=192.62..269.24 rows=7662 width=8) (actual
time=0.001..9.728 rows=7662 loops=199)
-> Seq Scan on timecard (cost=0.00..192.62 rows=7662 width=8)
(actual time=0.007..17.007 rows=7662 loops=1)
Total runtime: 4838.786 ms
(8 rows)
> > I should say that this is on postgresql 7.4.16 (debian stable).
>
> Uhh. Why not a recent version? We have 8.3.0...
No particularly good reason, just that I have taken over a production
system and I didn't want to mess up with before I am confident with
it. But I on a test-site I have migrated to 8.1 without problems, so
migration will happen, we just haven't a reason for doing it yet,
since 7.4 has served us well.
> > Can query B be rewritten so that it would execute faster?
>
> Quick and dirty: use both selects (query A) combined with UNION.
I will look into that.
> I guess, with a recent version the planner can use a bitmap index scan
> to perform Query B faster.
That might be a good reason to upgrade :-)
Thanks for your answer.
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and if you use the program, he is your master.
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