Re: Simple query, 10 million records...MySQL ten times faster

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От joe@omc-international.com.au
Тема Re: Simple query, 10 million records...MySQL ten times faster
Дата
Msg-id 61590.203.214.82.120.1177627412.squirrel@polaris.omc-international.com.au
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Ответ на Simple query, 10 million records...MySQL ten times faster  (zardozrocks <zardozrocks@gmail.com>)
Список pgsql-performance

Is there a reason you are not using postgis. The R tree indexes are
designed for exactly this type of query and should be able to do it very
quickly.

Hope that helps,

Joe

> I have this table:
>
> CREATE TABLE test_zip_assoc (
>     id serial NOT NULL,
>     f_id integer DEFAULT 0 NOT NULL,
>     lat_radians numeric(6,5) DEFAULT 0.00000 NOT NULL,
>     long_radians numeric(6,5) DEFAULT 0.00000 NOT NULL
> );
> CREATE INDEX lat_radians ON test_zip_assoc USING btree (lat_radians);
> CREATE INDEX long_radians ON test_zip_assoc USING btree
> (long_radians);
>
>
>
> It's basically a table that associates some foreign_key (for an event,
> for instance) with a particular location using longitude and
> latitude.  I'm basically doing a simple proximity search.  I have
> populated the database with *10 million* records.  I then test
> performance by picking 50 zip codes at random and finding the records
> within 50 miles with a query like this:
>
> SELECT id
>     FROM test_zip_assoc
>     WHERE
>         lat_radians > 0.69014816041
>         AND lat_radians < 0.71538026567
>         AND long_radians > -1.35446228028
>         AND long_radians < -1.32923017502
>
>
> On my development server (dual proc/dual core Opteron 2.8 Ghz with 4GB
> ram) this query averages 1.5 seconds each time it runs after a brief
> warmup period.  In PostGreSQL it averages about 15 seconds.
>
> Both of those times are too slow.  I need the query to run in under a
> second with as many as a billion records.  I don't know if this is
> possible but I'm really hoping someone can help me restructure my
> indexes (multicolumn?, multiple indexes with a 'where' clause?) so
> that I can get this running as fast as possible.
>
> If I need to consider some non-database data structure in RAM I will
> do that too.  Any help or tips would be greatly appreciated.  I'm
> willing to go to greath lengths to test this if someone can make a
> good suggestion that sounds like it has a reasonable chance of
> improving the speed of this search.  There's an extensive thread on my
> efforts already here:
>
> http://phpbuilder.com/board/showthread.php?t=10331619&page=10
>
>
> ---------------------------(end of broadcast)---------------------------
> TIP 9: In versions below 8.0, the planner will ignore your desire to
>        choose an index scan if your joining column's datatypes do not
>        match
>



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