>> Put the generated/temp files from Mapserver on a RAM disk (IMAGEPATH
>> parameter of the mapfile).
> Have you got doc for this point please?
Here under how it is set up on my Debian server, for a 8GB directory on
RAM:
mkdir /data/disk_on_ram/
mount -o size=8G -t tmpfs tmpfs /data/disk_on_ram/
mkdir /data/disk_on_ram/pmapper_temp
chown www-data:users /data/disk_on_ram/pmapper_temp/
Then to let Apache use it:
In /etc/apache2/httpd.conf
Include /etc/apache2/pmapper_tmpdir.conf
In /etc/apache2/pmapper_tmpdir.conf
#Alias /tmp/ /data/dataweb/tmp/
<Directory "/data/dataweb/tmp/">
AllowOverride All
Options All
Order allow,deny
Allow from all
</Directory>
In /data/dataweb/tmp/
ln -s /data/disk_on_ram/pmapper_temp/
Finally in the mapfile:
IMAGEPATH "/data/disk_on_ram/pmapper_temp/"
IMAGEURL "/tmp/pmapper_temp/"
> For Raster data, you can use tiles (use gdaltindex) and then create the
> QIX file.
Also with raster data, gdaladdo is very usefull as it adds pyramidal / less
detailed views of the image (downsampling), in the image itself. Mapserver
knows how to use them depending on the scale of the map.
On Mon, Feb 18, 2013 at 10:26 AM, Thomas RAFFIN <traf...@sirap.fr> wrote:
>
> Le 18/02/2013 10:15, Chris forum a écrit :
> > Hi,
> >
> > Yllka> Interesting topic! If possible, don't forget to show us your final
> > results!
> >
> > Thomas> Thanx, very interesting tip! Should try it asap!
> > (On your example, beware on the UNIQUE typo ; )
>
> Oops!
>
>
> >
> > With a Shapefile, using an index file (QIX) speeds up data visualisation
> > for sure.
>
> In this case, don't specify file extension in the "DATA".
>
> > Tiling to speed up access to WMS layers, with TileCache or the Mapserver
> > Mapcache.
> > Put the generated/temp files from Mapserver on a RAM disk (IMAGEPATH
> > parameter of the mapfile).
>
> Have you got doc for this point please?
>
>
> For Raster data, you can use tiles (use gdaltindex) and then create the
> QIX file.
>
>
> Generally, be careful with mapserver on the fly re-projection. It is to
> avoid if you want to speed up MapServer response.
>
> >
> > Chris
> >
> >
> > On Mon, Feb 18, 2013 at 9:43 AM, Thomas RAFFIN <traf...@sirap.fr> wrote:
> >
> >> Hi,
> >>
> >> I've made a hack in pmapper few years ago. This one allows you to
> >> specify 2 data sources for each layer:
> >> LAYER
> >> .....
> >> DATA "the_geom FROM your_heavy_view USING UNQIUE gid"
> >> METADATA
> >> PM_RESULT_DATASUBSTITION "the_geom FROM your_geo_table USING
> >> UNQIUE gid"
> >> ...
> >> END
> >> ...
> >> END
> >>
> >> For instance " your_heavy_view" is a view that join a geographical table
> >> ("your_geo_table") with many other tables. The attributes "the_geom" and
> >> "gid" have to be the same names and values in both table and view.
> >>
> >> The "DATA" value is the habitual one whereas "PM_RESULT_DATASUBSTITION"
> >> is used to draw / select / query graphically / etc... to speed up
> pmapper.
> >>
> >> Be careful : all attributes used for label, classitem, binding, etc..
> >> have to be in the main table.
> >>
> >> It has only been tested with postgreSQL/postigs but could works with
> >> other data types.
> >>
> >> Thomas
> >>
> >> Le 16/02/2013 18:35, yllka baci a écrit :
> >>> Hello Pmapper users....
> >>> I'm going to write a paper on techniques that speed up data
> visualisation
> >>> on Web GIS applications.
> >>> Can any one of you tell me the techniques that he (she) knows?
> >>>
> >>> ps: pmapper.net will be the main reference of this paper :) thank you
> >> very
> >>> much for the support.
> >> --
> >>
> >>
> >>
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> >>
> >
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> > The Go Parallel Website, sponsored by Intel - in partnership with
> Geeknet,
> > is your hub for all things parallel software development, from weekly
> thought
> > leadership blogs to news, videos, case studies, tutorials, tech docs,
> > whitepapers, evaluation guides, and opinion stories. Check out the most
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>
> --
>
>
> Thomas RAFFIN
> Chef de Projet Internet
> traf...@sirap.fr <mailto:traf...@sirap.fr> Sirap <http://sirap.fr>
> Tel
> : 04 75 72 84 10
> Fax : 04 75 70 07 98
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> 26106 Romans cedex
>
>
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> is your hub for all things parallel software development, from weekly
> thought
> leadership blogs to news, videos, case studies, tutorials, tech docs,
> whitepapers, evaluation guides, and opinion stories. Check out the most
> recent posts - join the conversation now.
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is your hub for all things parallel software development, from weekly thought
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whitepapers, evaluation guides, and opinion stories. Check out the most
recent posts - join the conversation now. http://goparallel.sourceforge.net/
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