To answer the questions 1) Performance
I am handling 3 maps with about 8 million tiles , biggest map 4 million tiles , biggest layer consists of 2 million tiles. The tiles are stored in png format. (Compression). Tile sizes are 256x256 and 512x512. The decoding (Decompression) of the tiles is done in a multithreaded manner. Multiple/Multicore CPUs will be used if present. The db lookup to find the right tiles is very fast if you have the proper indexes. Decoding starts when the first tile is fetched, fetching and decoding works like streaming using a queue from the java.concurrent package. Store your tiles as single banded images with a color table. Check with gdalinfo, if you have multiple bands use gdal_merge with the -pct option to produce a big picture. Afterwards apply gdal_retile. You can import the output of gdal_retile. Performance decreases when doing a request with a different CRS, because the whole picture has to be transformed. You will get see a WARNING in the log file. Try to avoid it. Environment: Geoserver running on Linux PPC using DB2 Spatial Extender on an AIX Box 2) If you have to use Oracle Georaster. I agree to Simone. The best would be to implement a special coverage store. 3) At the moment, the plugin is not able to handle rotated or skewed images, but if necessary, I would add this feature. christian ------------------------------------------------------------------------------ Stay on top of everything new and different, both inside and around Java (TM) technology - register by April 22, and save $200 on the JavaOne (SM) conference, June 2-5, 2009, San Francisco. 300 plus technical and hands-on sessions. Register today. Use priority code J9JMT32. http://p.sf.net/sfu/p _______________________________________________ Geotools-gt2-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/geotools-gt2-users
