Re: Indexing for geographic objects?
От | The Hermit Hacker |
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Тема | Re: Indexing for geographic objects? |
Дата | |
Msg-id | Pine.BSF.4.21.0012081218510.446-100000@thelab.hub.org обсуждение исходный текст |
Ответ на | Re: Indexing for geographic objects? (Tom Lane <tgl@sss.pgh.pa.us>) |
Ответы |
Re: Indexing for geographic objects?
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Список | pgsql-hackers |
just a note here ... recently, we had a client with similar problems with using index scan, where turning off seqscan did the trick ... we took his tables, loaded them into a v7.1beta1 server and it correctly comes up with the index scan ... Oleg, have you tried this with v7.1 yet? On Fri, 8 Dec 2000, Tom Lane wrote: > Oleg Bartunov <oleg@sai.msu.su> writes: > > We've done some work with GiST indices and found a little problem > > with optimizer. > > > test=# set enable_seqscan = off; > > SET VARIABLE > > test=# explain select * from test where s @ '1.05 .. 3.95'; > > NOTICE: QUERY PLAN: > > > Index Scan using test_seg_ix on test (cost=0.00..369.42 rows=5000 width=12) > > > EXPLAIN > > % ./bench.pl -d test -b 100 -i > > total: 1.71 sec; number: 100; for one: 0.017 sec; found 18 docs > > I'd venture that the major problem here is bogus estimated selectivities > for rtree/gist operators. Note the discrepancy between the estimated > row count and the actual (I assume the "found 18 docs" is the true > number of rows output by the query). With an estimated row count even > half that (ie, merely two orders of magnitude away from reality ;-)) > the thing would've correctly chosen the index scan over sequential. > > 5000 looks like a suspiciously round number ... how many rows are in > the table? Have you done a vacuum analyze on it? > > regards, tom lane > Marc G. Fournier ICQ#7615664 IRC Nick: Scrappy Systems Administrator @ hub.org primary: scrappy@hub.org secondary: scrappy@{freebsd|postgresql}.org
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