"Leaflet isn't geared towards incremental updates of a dataset - they are not engineered for this problem. (...) with IPFS this can work"
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Replying to @yoshuawuyts
Still going over the basics of maps rendering. Gotta learn how quadtrees work, k-d trees work, binary search trees too. This so good
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Replying to @yoshuawuyts
Mikola is now going through how k-d trees work. This is going pretty deep haha.
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Replying to @yoshuawuyts
"So far we've only been talking about basic data structures. This is because IPFS itself is a functional data structure" - making sense here
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Replying to @yoshuawuyts
Mikola now touching on the route planning aspect. Points out that systems already exist that run on OSM - it's a solved problem
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Replying to @yoshuawuyts
And now we're talking Dijkstra / A* path finding algorithms. From the person that wrote one of the fastest pathfinding algorithms ever
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Replying to @yoshuawuyts
"2 hop hub labelling" - hardest word in two days, and we've talked about a lot of complex things lol
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Replying to @yoshuawuyts
So fast path finding can be done by pairing "2 hop hub labelling" and A* - scales linearly in mem, sub ms query times
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Replying to @yoshuawuyts
Only downside is that you need about a TeraByte of RAM to build the index - hahahaha; "we should just buy this computer" - lol Mikola
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Replying to @yoshuawuyts
Apparently that's how Microsoft got the 2HHL algorithm to run - 1 terabyte of RAM
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(Yeah, so I'm tweeting again. Had lunch and a coffee - coffee for the anti-naps)
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Replying to @yoshuawuyts
Mikola is now explaining how the 2HHL algorithm works, and why it needs so much RAM. He's taking us all to computer school
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Replying to @yoshuawuyts
2HHL works for our roads systems, but not arbitrary graphs - it works because in practice our roads are built around hubs. Think highways
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