Comments (3)
This would speed up parsing on expense of memory.
I don't like this idea. For me RAM is more important than speed, e.g. if you want to import planet.osm you already need 20GB and this is increasing by 40% per year due to OSM contributions! So, before increasing the RAM usage we should make it possible to have a fast but on-disc solution for GHLongIntBTree. But I didn't find a good solution. E.g. MapDB was too slow. I'll experiment with Lucene again as we probably need it elsewhere.
Of course you can make this speed-up optional, e.g. in a new OSMReaderHelper subclass or whatever
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It would probably be worthwhile to have a technology that will run with limited memory for any size of file. In my map compiler I had a similar problem caching the nodes. I wrote my own storage class that is organized in pages which are loaded from disk, with a maximum number that can be loaded at one time.
Until then it can't hurt to make this optional, controlled by a property. If there is no cached data available, the ways are parsed again just like it happens now. Nothing lost. If you have enough memory, it should run faster.
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This can be closed.
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