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@chainsafe/persistent-merkle-tree

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@chainsafe/persistent-merkle-tree

Merkle tree implemented as a persistent datastructure

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Persistent Merkle Tree

ES Version Node Version

A binary merkle tree implemented as a persistent data structure.

Example


// LeafNode and BranchNode are used to build nodes in a tree
// Nodes may not be changed once initialized

import {LeafNode, BranchNode} from "@chainsafe/persistent-merkle-tree";

const leaf = new LeafNode(Uint8Array.from([...]));
const otherLeaf = new LeafNode(Uint8Array.from([...]));

const branch = new BranchNode(leaf, otherLeaf);

// The `root` property returns the merkle root of a Node

const r: Uint8Array = branch.root; // == hash(leaf.root, otherLeaf.root));

// The `isLeaf` method returns true if the Node is a LeafNode

branch.isLeaf() === false;
leaf.isLeaf() === true;

// Well-known zero nodes are provided

import {zeroNode} from "@chainsafe/persistent-merkle-tree";

// 0x0
const zero0 = zeroNode(0);

// hash(0, 0)
const zero1 = zeroNode(1);

// hash(hash(0, 0), hash(0, 0))
const zero1 = zeroNode(2);

// Tree provides a mutable wrapper around a "root" Node

import {Tree} from "@chainsafe/persistent-merkle-tree";

const tree = new Tree(zeroNode(10));

// `rootNode` property returns the root Node of a Tree

const rootNode: Node = tree.rootNode;

// `root` property returns the merkle root of a Tree

const rr: Uint8Array = tree.root;

// A Tree is navigated by Gindex

const gindex = BigInt(...);

const n: Node = tree.getNode(gindex); // the Node at gindex
const rrr: Uint8Array = tree.getRoot(gindex); // the Uint8Array root at gindex
const subtree: Tree = tree.getSubtree(gindex); // the Tree wrapping the Node at gindex

// A merkle proof for a gindex can be generated

const proof: Uint8Array[] = tree.getSingleProof(gindex);

Motivation

When dealing with large datasets, it is very expensive to merkleize them in their entirety. In cases where large datasets are remerkleized often between updates and additions, using ephemeral structures for intermediate hashes results in significant duplicated work, as many intermediate hashes will be recomputed and thrown away on each merkleization. In these cases, maintaining structures for the entire tree, intermediate nodes included, can mitigate these issues and allow for additional usecases (eg: proof generation). This implementation also uses the known immutability of nodes to share data between common subtrees across different versions of the data.

Features

Intermediate nodes with cached, lazily computed hashes

The tree is represented as a linked tree of Nodes, currently either BranchNodes or LeafNodes. A BranchNode has a left and right child Node, and a root, 32 byte Uint8Array. A LeafNode has a root. The root of a Node is not computed until requested, and cached thereafter.

Shared data betwen common subtrees

Any update to a tree (either to a leaf or intermediate node) is performed as a rebinding that yields a new, updated tree that maximally shares data between versions. Garbage collection allows memory from unused nodes to be eventually reclaimed.

Mutable wrapper for the persistent core

A Tree object wraps Node and provides an API for tree navigation and transparent rebinding on updates.

See also:

https://github.com/protolambda/remerkleable

Audit

This repo was audited by Least Authority as part of this security audit, released 2020-03-23. Commit 8b5ad7 verified in the report.

License

Apache-2.0

Keywords

FAQs

Package last updated on 31 Jul 2020

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