How Does a Geospatial Index Work? [Closed]
I'm Wondering How a Geospatial Index, Such as the One Used by Mongodb, Works. Can Anyone Explain What Data Structure/Algorithm Is Used Internally? What Time...
I'm wondering how a geospatial index, such as the one used by MongoDB, works. Can anyone explain what data structure/algorithm is used internally? What time complexity does a search run in?
Links to resources would be great too.
According to this other SO question:
The current implementation encodes geographic hash codes atop standard MongoDB B-trees. Results of $near queries are exact. One limitation with this encoding, while fast, is that prefix lookups don't give exact results, especially around bit flip areas. MongoDB solves this by doing a grid-neighbor search after the initial prefix scan to pick up any straggler points. This generally ensures that performance remains very high while providing correct results.