🌲 This implements a binary merkle radix tree. The point of using a binary radix tree is that it generates smaller proof size then trees with larger radixes. This tree is well suited for storing large dictionaries of fairly random keys. And is optimized for storing keys of the same length. If the keys are not random better performance can be archived by hashing them first. It builds on top of ipld-graph-builder and the resulting state and proofs are generated using it.
npm install dfinity-radix-tree
const RadixTree = require('js-dfinity-radix-tree')
const level = require('level')
const db = level('./tempdb')
async function main () {
const prover = new RadixTree({
db: db
})
await prover.set('test', Buffer.from('value'))
await prover.set('doge', Buffer.from('coin'))
await prover.set('cat', Buffer.from('dog'))
await prover.set('monkey', Buffer.from('wrench'))
// create a merkle root and save the tree
const merkleroot = await prover.flush()
// start a new Instance with the root
const verifier = new RadixTree({
db: db,
root: merkleroot
})
const result = await verifier.get('monkey')
console.log(result.value.toString())
}
main()The result of the benchmarks show that the binary radix tree produces proofs on average 67% small then the Ethereum Trie with 100000 keys stored.
All code and designs are open sourced under GPL V3.
