使用js实现merkle树
时间: 2023-07-20 11:08:37 浏览: 97
实现 Merkle 树的过程需要以下几个步骤:
1. 定义节点类
首先,我们需要定义一个节点类,该类包含以下属性:
- `left`: 左子树的哈希值
- `right`: 右子树的哈希值
- `parent`: 父节点的哈希值
- `data`: 叶子节点存储的数据
```javascript
class Node {
constructor(left, right, parent = null, data = null) {
this.left = left;
this.right = right;
this.parent = parent;
this.data = data;
}
// 计算节点的哈希值
getHash() {
return sha256(this.left + this.right);
}
// 判断节点是否为叶子节点
isLeaf() {
return this.left === null && this.right === null;
}
}
```
2. 构建叶子节点
其次,我们需要构建叶子节点,每个叶子节点代表一个数据块,该节点的 `left` 和 `right` 属性均为 `null`。
```javascript
function buildLeaves(dataList) {
return dataList.map(data => new Node(null, null, null, data));
}
```
3. 构建 Merkle 树
接着,我们需要构建 Merkle 树,该过程利用叶子节点逐层向上构建,直到根节点。
```javascript
function buildTree(leaves) {
let nodes = leaves;
// 处理节点数为奇数的情况
if (nodes.length % 2 !== 0) {
nodes.push(new Node(null, null, null, null));
}
while (nodes.length > 1) {
const parents = [];
for (let i = 0; i < nodes.length; i += 2) {
const left = nodes[i];
const right = nodes[i + 1];
const parent = new Node(left.getHash(), right.getHash(), null, null);
left.parent = parent.getHash();
right.parent = parent.getHash();
parents.push(parent);
}
nodes = parents;
}
return nodes[0];
}
```
4. 计算 Merkle 树根节点哈希值
最后,我们需要计算 Merkle 树的根节点哈希值,该值即为整个 Merkle 树的哈希值。
```javascript
function calculateRootHash(leaves) {
const root = buildTree(buildLeaves(leaves));
return root.getHash();
}
```
完整代码如下:
```javascript
class Node {
constructor(left, right, parent = null, data = null) {
this.left = left;
this.right = right;
this.parent = parent;
this.data = data;
}
getHash() {
return sha256(this.left + this.right);
}
isLeaf() {
return this.left === null && this.right === null;
}
}
function buildLeaves(dataList) {
return dataList.map(data => new Node(null, null, null, data));
}
function buildTree(leaves) {
let nodes = leaves;
if (nodes.length % 2 !== 0) {
nodes.push(new Node(null, null, null, null));
}
while (nodes.length > 1) {
const parents = [];
for (let i = 0; i < nodes.length; i += 2) {
const left = nodes[i];
const right = nodes[i + 1];
const parent = new Node(left.getHash(), right.getHash(), null, null);
left.parent = parent.getHash();
right.parent = parent.getHash();
parents.push(parent);
}
nodes = parents;
}
return nodes[0];
}
function calculateRootHash(leaves) {
const root = buildTree(buildLeaves(leaves));
return root.getHash();
}
```
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