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List: postgresql-general
Subject: Re: [HACKERS] knngist - 0.8
From: Alexander Korotkov <aekorotkov () gmail ! com>
Date: 2010-07-29 19:38:56
Message-ID: AANLkTinV_HK3CLC6_98coYkorPC75vsdYO7vheTmv5Yd () mail ! gmail ! com
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I think that queries like this:
select * from test where val <-> 500 < 1 order by val <-> 500;
can also be optimized using knngist. In case of btree_gist this query can be
easily rewritten:
select * from test where val > 499 and val < 501 order by val <-> 500;
But, in pg_trgm it makes it possible to combine different similarity levels
in one query. For example:
select * from test_trgm order by t <-> 'asdf' < 0.5 or t <-> 'qwer' < 0.4;
Is there any chance to handle this syntax also?
----
With best regards,
Alexander Korotkov.
[Attachment #3 (text/html)]
I think that queries like this:<br>select * from test where val <-> 5=
00 < 1 order by val <-> 500;<br>can also be optimized using knngis=
t. In case of btree_gist this query can be easily rewritten:<br>select * fr=
om test where val > 499 and val < 501 order by val <-> 500;<br>
But, in pg_trgm it makes it possible to combine different similarity levels=
in one query. For example:<br>select * from test_trgm order by t <->=
'asdf' < 0.5 or t <-> 'qwer' < 0.4;<br>Is ther=
e any chance to handle this syntax also?<br>
<br>----<br>With best regards,<br>Alexander Korotkov.<br>
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