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That will work, but you'll be making dynamic (export) requests to the tiled service rather than using the tiled images. This should also work: var layer; layer = new ArcGISTiledMapServiceLayer("URL", {"opacity": 0.5}); map.addLayer(layer); See this jsfiddle for an example.


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I just had the same problem. The answer is easy but the documentation made it non-obvious. Simply change the cache type to GoogleDisk. [cache] type=GoogleDisk Found the answer here: http://osgeo-org.1560.x6.nabble.com/SOLVED-Combine-Mapnik-generate-tiles-py-w-TileCache-td3965126.html


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I know this question has been asked some time ago, but just wanted to share what ESRI said about this if others run into this issue. The "Automatic cache updating" radio button or honored when you are going through the publishing or re-publishing process. If you don't want the server to cache your service automatically, just make sure the setting is set to ...


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I suggest to use EPSG:3857 as CRS for the raster during the tiling process. EPSG:900913 is not included in current GDAL and QGIS anymore, thus the special spherical mercator treatment is not applied. The proj definition for EPSG:3857 is +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +wktext +no_defs ...


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You should be able to manage this with parameter filters pretty much the same way as with the STYLE parameter. Add a StringParameterFilter for the SLD parameter, give it the URLs for the external styles, and away you go.


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Since 10.1, there are two special system geoprocessing services that are called CachingTools and CachingControllers. These services are available in the System folder under the GIS Server connection. These services are responsible for starting and managing caching jobs. In order to be able to start caching a service, these services have to be started. From ...


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Instead of creating metatiles I have now tested different tiling scripts that I've found. They are all using the same source image which is a JPG (with a .JGW) in EPSG:3857 projection. Bilinear has been used in scaling and the zoom level was 9. generate_tiles.py (slightly modified): 22 minutes. gdal2tiles.py (patched for 2 cpu cores): 3 minutes. ...


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Maptiler is a further development of gdal2tiles.py, written in C instead of python, by the same author. But you get the speed not for free... Disclaimer: I do not get any of the money ;-)



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