[fdo-users] postgis and performance
Zac Spitzer
zac.spitzer at gmail.com
Mon Jul 28 02:56:55 EDT 2008
For better performance, try using views on your tables which only
expose the minimal
set of columns you require.
Mapguide does "select * from table" which slows things down a lot,
because each column
is accessed via name rather than index and that's a lot of string matching..
http://trac.osgeo.org/mapguide/ticket/272
i.e. with a 500k row table, each additional column is now involved in
another 500k of string matches
Regards
Zac
On Sat, Jul 26, 2008 at 1:09 AM, alucas <alucas at srtec.com> wrote:
>
> Hello List,
>
> I'm testing postgis to store some Gregraphic layers and publish this data to
> the internet via Mapguide Enterprise 2009. I've performance problems to
> publish some large volumes of vector data. For example, mapguide can't
> preview (with Autodesk Mapguide Studio) one layer with 140.000 records. I
> need to publish some layers with aprox 500.000 records
>
> So, I need to manage large volume data sets with postgis and mapguide and
> I've some questions:
>
> - In the unit tests for the postgis provider, what are the volumes of data
> tested?
> - I've loaded the data into postgis via shp2pgsql. I don't know if the
> default database created via shp2pgsql is the best for the postgis provider
> performance. It's possible to improve the database performance for example
> creating some gist indexes? If yes, how can I create the optimal index to
> achieve the best performance in queries?
>
> To summarize, I need some help for optimize my postgis datastore...
>
> Some useful information about the system:
>
> MGE 2009
> Autodesk Mapguide Studio 2009
> Postgis 8.2.9
> Postgis 1.3.3
> FDO provider for postgis: 3.3.0 (Downloaded from GeoMap web page)
>
> Thanks in advance.
>
>
> --
> View this message in context: http://www.nabble.com/postgis-and-performance-tp18653591p18653591.html
> Sent from the FDO Users mailing list archive at Nabble.com.
>
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--
Zac Spitzer -
http://zacster.blogspot.com (My Blog)
+61 405 847 168
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