Implementation of [peer-to-peer b-trees](https://0fps.net/2020/12/19/peer-to-peer-ordered-search-indexes/) which are [prolly trees](https://www.dolthub.com/blog/2020-04-01-how-dolt-stores-table-data/) as used in dolt and noms.
npm install prolly-treesImplementation of peer-to-peer search trees (probabalistic b-trees trees) as
used in dolt and noms.
While this library has 100% test coverage and is relatively stable, it's
not recommended for broad use. The implementation internals are all very
exposed and have not been properly documented. Without thorough documentation
there's a lot of mistakes consumers will make regarding caching and block
storage.
Some time in the near future I will fully document the library.
This is just an implementation of the trees. It does not have an opinion about
how blocks are encoded and hashed. The tests use a dag-cbor IPLD encoder, and
the library is typically encoded into IPLD in other libraries.
Range queries match >= the start key and < the end key.
In other words, ranges do not include matches against the end key
but do match against the start key. This is so that more advanced
range queries can be built with only appending to keys rather than
needing to do more advanced key modifications to reduce the closing
match.