[mapserver-users] Mapserver performance on apache - heavy load systems

[Peter Maes]

Hi Steve,

Thanks for your reply. However, most of my datasources are vector data.
I've created a spatial index on the shapefiles, but with 4 000 000 features
it still takes a long time to load everything.

Should I increase ram, or cpu? or Both? the machines have 8 GB ram atm. I'm
not sure what mapserver needs in heavy configurations.

Besides the page on mapserver.org i dont find much on improving performance
for load intensive systems.


2011/12/9 Lime, Steve D (DNR) <Steve.Lime at state.mn.us>

>  Apache should be plenty quick. Start with using fastcgi and optimizing
> your data: e.g. create spatial indexes, use optimized raster formats and
> then optimizing your configuration (scale dependent layers w/things like
> reduced resolution layers where possible). -Steve****
>
> ** **
>
> *From:* mapserver-users-bounces at lists.osgeo.org [mailto:
> mapserver-users-bounces at lists.osgeo.org] *On Behalf Of *Peter Maes
> *Sent:* Friday, December 09, 2011 6:31 AM
> *To:* mapserver-users at lists.osgeo.org
> *Subject:* [mapserver-users] Mapserver performance on apache - heavy load
> systems****
>
> ** **
>
> Hi all,****
>
> ** **
>
> We are planning to launch a major mapserver production site where i'm
> required to launch many mapserver instances in some form of cluster.****
>
> ** **
>
> So I basically have some questions related to this:****
>
> ** **
>
> - Does anyone have good tips on performance for running mapserver on
> apache? ****
>
> - Any specific build parameters I should pay attention to? ****
>
> - Does it run as a native apache module, or is it required to work through
> cgi?  In which case: will i get better performance by using fastcgi? (we
> are not using databases but shapefiles). ****
>
> - Should I consider lighttpd or nginx instead?****
>
> ** **
>
> - Any other tips related to clustering mapserver instances? :).****
>
> ** **
>
> Note that we are using live data, so we cannot cache them, except for a
> minute or so.****
>
> ** **
>
> Thanks for your time.****
>
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