不使用Collection框架的Tree的自定义树实现。 它包含Tree实现所需的不同基本操作。

class Node {

    int data;
    Node left;
    Node right;

    public Node(int ddata, Node left, Node right) {
        this.data = ddata;
        this.left = null;
        this.right = null;      
    }

    public void displayNode(Node n) {
        System.out.print(n.data + " "); 
    }

}

class BinaryTree {

    Node root;

    public BinaryTree() {
        this.root = null;
    }

    public void insertLeft(int parent, int leftvalue ) {
        Node n = find(root, parent);
        Node leftchild = new Node(leftvalue, null, null);
        n.left = leftchild;
    }

    public void insertRight(int parent, int rightvalue) {
        Node n = find(root, parent);
        Node rightchild = new Node(rightvalue, null, null);
        n.right = rightchild;
    }

    public void insertRoot(int data) {
        root = new Node(data, null, null);
    }

    public Node getRoot() {
        return root;
    }

    public Node find(Node n, int key) {     
        Node result = null;

        if (n == null)
            return null;

        if (n.data == key)
            return n;

        if (n.left != null)
            result = find(n.left, key);

        if (result == null)
            result = find(n.right, key);

        return result;
    } 

    public int getheight(Node root){
        if (root == null)
            return 0;

        return Math.max(getheight(root.left), getheight(root.right)) + 1; 
    }

    public void printTree(Node n) {     
        if (n == null)
            return;

        printTree(n.left);
        n.displayNode(n);
        printTree(n.right);             
    }

}

    // TestTree.java
// A simple test to see how we can build a tree and populate it
//
import java.awt.*;
import java.awt.event.*;
import javax.swing.*;
import javax.swing.tree.*;

public class TestTree extends JFrame {

  JTree tree;
  DefaultTreeModel treeModel;

  public TestTree( ) {
    super("Tree Test Example");
    setSize(400, 300);
    setDefaultCloseOperation(EXIT_ON_CLOSE);
  }

  public void init( ) {
    // Build up a bunch of TreeNodes. We use DefaultMutableTreeNode because the
    // DefaultTreeModel can use it to build a complete tree.
    DefaultMutableTreeNode root = new DefaultMutableTreeNode("Root");
    DefaultMutableTreeNode subroot = new DefaultMutableTreeNode("SubRoot");
    DefaultMutableTreeNode leaf1 = new DefaultMutableTreeNode("Leaf 1");
    DefaultMutableTreeNode leaf2 = new DefaultMutableTreeNode("Leaf 2");

    // Build our tree model starting at the root node, and then make a JTree out
    // of it.
    treeModel = new DefaultTreeModel(root);
    tree = new JTree(treeModel);

    // Build the tree up from the nodes we created.
    treeModel.insertNodeInto(subroot, root, 0);
    // Or, more succinctly:
    subroot.add(leaf1);
    root.add(leaf2);

    // Display it.
    getContentPane( ).add(tree, BorderLayout.CENTER);
  }

  public static void main(String args[]) {
    TestTree tt = new TestTree( );
    tt.init( );
    tt.setVisible(true);
  }
}

您可以使用Apache JMeter中包含的HashTree类，它是Jakarta项目的一部分。

HashTree类包含在包org.apache.jorphan.collections中。虽然这个包没有在JMeter项目之外发布，但你可以很容易地获得它:

1)下载JMeter源代码。

2)创建一个新包。

3)复制到/src/jorphan/org/apache/jorphan/collections/。除了Data.java之外的所有文件

4)复制/src/jorphan/ org/apache/jorphan/uti/jorphanutils .java

5) HashTree可以使用了。

没有回答提到过度简化但有效的代码，所以下面是:

public class TreeNodeArray<T> {
    public T value;
    public final  java.util.List<TreeNodeArray<T>> kids =  new java.util.ArrayList<TreeNodeArray<T>>();
}

import java.util.Collection;
import java.util.LinkedList;
import java.util.function.BiConsumer;
import java.util.function.Function;

/**
 * @author changjin wei(魏昌进)
 * @since 2021/7/15
 */
public class TreeUtils {

    private TreeUtils() {
    }

    /**
     * @param collection this is a collection of elements
     * @param getId this is a getId Function
     * @param getParentId this is a getParentId Function
     * @param setNode this is a setNode BiConsumer
     * @param <E> the type of elements in this collection
     * @param <R> the type of the result of the function
     *
     * @return Collection
     */
    public static <E, R> Collection<E> tree(Collection<E> collection, Function<E, R> getId, Function<E, R> getParentId, BiConsumer<E, Collection<E>> setNode) {
        Collection<E> root = new LinkedList<>();
        for (E node : collection) {
            R parentId = getParentId.apply(node);
            R id = getId.apply(node);
            Collection<E> elements = new LinkedList<>();
            boolean isParent = true;
            for (E element : collection) {
                if (id.equals(getParentId.apply(element))) {
                    elements.add(element);
                }
                if (isParent && getId.apply(element).equals(parentId)) {
                    isParent = false;
                }
            }
            if (isParent) {
                root.add(node);
            }
            setNode.accept(node, elements);
        }
        return root;
    }
}

Java中没有适合您需求的特定数据结构。您的需求非常具体，因此需要设计自己的数据结构。看看你的需求，任何人都可以说你需要某种具有特定功能的n元树。你可以通过以下方式设计你的数据结构:

Structure of the node of the tree would be like content in the node and list of children like: class Node { String value; List children;} You need to retrieve the children of a given string, so you can have 2 methods 1: Node searchNode(String str), will return the node that has the same value as given input (use BFS for searching) 2: List getChildren(String str): this method will internally call the searchNode to get the node having same string and then it will create the list of all string values of children and return. You will also be required to insert a string in tree. You will have to write one method say void insert(String parent, String value): this will again search the node having value equal to parent and then you can create a Node with given value and add to the list of children to the found parent.

我建议，你写一个类的节点结构类节点{字符串值;在另一个NodeUtils类中列出children;}和所有其他方法，如search, insert和getChildren，这样你也可以传递树的根来对特定的树执行操作，例如: 类NodeUtils{公共静态节点搜索(节点根，字符串值){//执行BFS并返回节点}