我根据@Halcyon的答案写了一个ES6版本

const array = [
  {
    id: '12',
    parentId: '0',
    text: 'one-1'
  },
  {
    id: '6',
    parentId: '12',
    text: 'one-1-6'
  },
  {
    id: '7',
    parentId: '12',
    text: 'one-1-7'
  },

  {
    id: '9',
    parentId: '0',
    text: 'one-2'
  },
  {
    id: '11',
    parentId: '9',
    text: 'one-2-11'
  }
];

// Prevent changes to the original data
const arrayCopy = array.map(item => ({ ...item }));

const listToTree = list => {
  const map = {};
  const roots = [];

  list.forEach((v, i) => {
    map[v.id] = i;
    list[i].children = [];
  });

  list.forEach(v => (v.parentId !== '0' ? list[map[v.parentId]].children.push(v) : roots.push(v)));

  return roots;
};

console.log(listToTree(arrayCopy));

该算法的原理是利用“map”建立索引关系。通过“parentId”可以很容易地在列表中找到“item”，并为每个“item”添加“children”，因为“list”是一个引用关系，所以“roots”将与整个树建立关系。

ES6地图版本:

getTreeData = (items) => {
  if (items && items.length > 0) {
    const data = [];
    const map = {};
    items.map((item) => {
      const id = item.id; // custom id selector !!!
      if (!map.hasOwnProperty(id)) {
        // in case of duplicates
        map[id] = {
          ...item,
          children: [],
        };
      }
    });
    for (const id in map) {
      if (map.hasOwnProperty(id)) {
        let mappedElem = [];
        mappedElem = map[id];
        /// parentId : use custom id selector for parent
        if (
          mappedElem.parentId &&
          typeof map[mappedElem.parentId] !== "undefined"
        ) {
          map[mappedElem.parentId].children.push(mappedElem);
        } else {
          data.push(mappedElem);
        }
      }
    }
    return data;
  }
  return [];
};

/// use like this :

const treeData = getTreeData(flatList);

类似问题的答案:

https://stackoverflow.com/a/61575152/7388356

更新

你可以使用ES6中引入的Map对象。基本上，你不再通过遍历数组来寻找父元素，你只需要从数组中通过父元素的id来获取父元素就像你在数组中通过索引来获取元素一样。

下面是一个简单的例子:

const people = [
  {
    id: "12",
    parentId: "0",
    text: "Man",
    level: "1",
    children: null
  },
  {
    id: "6",
    parentId: "12",
    text: "Boy",
    level: "2",
    children: null
  },
  {
    id: "7",
    parentId: "12",
    text: "Other",
    level: "2",
    children: null
  },
  {
    id: "9",
    parentId: "0",
    text: "Woman",
    level: "1",
    children: null
  },
  {
    id: "11",
    parentId: "9",
    text: "Girl",
    level: "2",
    children: null
  }
];

function toTree(arr) {
  let arrMap = new Map(arr.map(item => [item.id, item]));
  let tree = [];

  for (let i = 0; i < arr.length; i++) {
    let item = arr[i];

    if (item.parentId !== "0") {
      let parentItem = arrMap.get(item.parentId);

      if (parentItem) {
        let { children } = parentItem;

        if (children) {
          parentItem.children.push(item);
        } else {
          parentItem.children = [item];
        }
      }
    } else {
      tree.push(item);
    }
  }

  return tree;
}

let tree = toTree(people);

console.log(tree);

如果使用地图查找，就有一个有效的解决方案。如果父母总是在他们的孩子之前，你可以合并两个for循环。它支持多个根。它在悬垂的分支上给出一个错误，但可以修改为忽略它们。它不需要第三方库。就我所知，这是最快的解决方法。

function list_to_tree(list) { var map = {}, node, roots = [], i; for (i = 0; i < list.length; i += 1) { map[list[i].id] = i; // initialize the map list[i].children = []; // initialize the children } for (i = 0; i < list.length; i += 1) { node = list[i]; if (node.parentId !== "0") { // if you have dangling branches check that map[node.parentId] exists list[map[node.parentId]].children.push(node); } else { roots.push(node); } } return roots; } var entries = [{ "id": "12", "parentId": "0", "text": "Man", "level": "1", "children": null }, { "id": "6", "parentId": "12", "text": "Boy", "level": "2", "children": null }, { "id": "7", "parentId": "12", "text": "Other", "level": "2", "children": null }, { "id": "9", "parentId": "0", "text": "Woman", "level": "1", "children": null }, { "id": "11", "parentId": "9", "text": "Girl", "level": "2", "children": null } ]; console.log(list_to_tree(entries));

如果你喜欢复杂性理论，这个解决方案是Θ(n log(n))。递归过滤器的解决方案是Θ(n^2)，这对于大型数据集可能是一个问题。

你可以使用npm包数组到树https://github.com/alferov/array-to-tree。 它将普通的节点数组(带有指向父节点的指针)转换为嵌套的数据结构。

解决了从数据库数据集检索到嵌套数据结构(即导航树)的转换问题。

用法:

var arrayToTree = require('array-to-tree');

var dataOne = [
  {
    id: 1,
    name: 'Portfolio',
    parent_id: undefined
  },
  {
    id: 2,
    name: 'Web Development',
    parent_id: 1
  },
  {
    id: 3,
    name: 'Recent Works',
    parent_id: 2
  },
  {
    id: 4,
    name: 'About Me',
    parent_id: undefined
  }
];

arrayToTree(dataOne);

/*
 * Output:
 *
 * Portfolio
 *   Web Development
 *     Recent Works
 * About Me
 */

经过多次尝试，我得出了这个结论:

const arrayToTree = (arr, parent = 0) => arr .filter(item => item.parent === parent).map(child => ({ ...child, children: arrayToTree(arr, child.index) }));

   

const entries = [ { index: 1, parent: 0 }, { index: 2, parent: 1 }, { index: 3, parent: 2 }, { index: 4, parent: 2 }, { index: 5, parent: 4 }, { index: 6, parent: 5 }, { index: 7, parent: 6 }, { index: 8, parent: 7 }, { index: 9, parent: 8 }, { index: 10, parent: 9 }, { index: 11, parent: 7 }, { index: 13, parent: 11 }, { index: 12, parent: 0 } ]; const arrayToTree = (arr, parent = 0) => arr .filter(item => item.parent === parent) .map(child => ({ ...child, children: arrayToTree(arr, child.index) })); console.log(arrayToTree(entries));