Hello list, since a few days I try to understand the idea of the class SparseInt2ShortMapInline in splitter because this seems to waste memory although it is documented to save it. If I got this right, the amount of needed memory directly depends on the highest id that is saved, thus for example the data for a small country like german "bundesland" saarland (from geofabrik) is not processed with java -Xmx700 -jar splitter.jar --max-areas=2 --max-nodes=200000 e:\dwnload\saarland.osm.pbf I tried that with R181 and R180. The program runs without problems when I change the code so that SparseInt2ShortMultiMap always uses Int2ShortOpenHashMap and not SparseInt2ShortMapInline. Was this code optimized for a special input (e.g.with small id values) ?
ciao, Gerd -- View this message in context: http://gis.638310.n2.nabble.com/splitter-memory-usage-tp6935688p6935688.html Sent from the Mkgmap Development mailing list archive at Nabble.com. _______________________________________________ mkgmap-dev mailing list [email protected] http://www.mkgmap.org.uk/mailman/listinfo/mkgmap-dev
