[mapserver-users] Gallery: running mapserver in docker on kubernetes
Jan Hartmann
j.l.h.hartmann at uva.nl
Fri Aug 30 08:48:06 PDT 2019
Thanks Peter, this is really useful. Do you have any real-world
benchmarks for MapServer that compare regular file access with vsicurl
access, using optimized Geotifs? I've seen the tests for GDAL at
https://trac.osgeo.org/gdal/wiki/CloudOptimizedGeoTIFF, but what about
servering large map-sets over the web?
On 8/30/2019 5:20 PM, Peter Schmitt wrote:
> Hi Jan,
>
> On Fri, Aug 30, 2019 at 6:20 AM Jan Hartmann <j.l.h.hartmann at uva.nl
> <mailto:j.l.h.hartmann at uva.nl>> wrote:
>
> Hi Pete, could you explain what you mean by "cloud-optimized geotiffs?
>
>
> A Cloud Optimized GeoTIFF (COG) is a regular GeoTIFF file in which the
> data is structured for fast random access. Some properties of a COG
> have always been useful for MapServer (Internally tiled & images have
> overview levels). Other properties of a COG optimize for cloud access
> via GDAL's /vsicurl/ virtual filesystem (Image File Directories of the
> GeoTIFF are structured such that one HTTP request can fetch all the
> metadata needed to read subsequent blocks from an image). This layout
> has been codified somewhat recently... Find out more here:
>
> 1. The COGEO organization summarizes things: https://www.cogeo.org
> <https://www.cogeo.org/>
> 2. This GDAL page talks about how to take a normal GeoTIFF, make it a
> COG and how to validate that a given GeoTIFF is a COG:
> https://trac.osgeo.org/gdal/wiki/CloudOptimizedGeoTIFF
> 3. GDAL >= 3.1 will have a new COG driver. This provides some
> syntactic sugar to generating a COG in a single gdal_translate
> command. https://gdal.org/drivers/raster/cog.html
>
> Cheers,
> Pete
>
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