Hello, I am wondering if there is any performance test bench results on the use of postgresql/postgis for geometry intersections.
I have this set up: several millions of polygons, with up to 20-30 points each (satellite instrument footprints) with a start and stop time each, and I need to make a query to retrieve all of those polygons that intersect an area of interest and withing a given time range (and possibly other type of filters such as name of sensors etc...). I have a working configuration which is rather fast wrt to the actual request made (number of matching results) but there is not that many footprints, eg several 100000. I created a GIST index on my geometry and also indexes on various other such as sensor name. My question is how will this scale? I could randomly add many footprints and make some tests, but if there is an interesting study on this, in particular recommendations on database configuration, indexes, hardware, etc... I would be very interested to read them. Thanks, Thomas
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