IT数码 购物 网址 头条 软件 日历 阅读 图书馆
TxT小说阅读器
↓语音阅读,小说下载,古典文学↓
图片批量下载器
↓批量下载图片,美女图库↓
图片自动播放器
↓图片自动播放器↓
一键清除垃圾
↓轻轻一点,清除系统垃圾↓
开发: C++知识库 Java知识库 JavaScript Python PHP知识库 人工智能 区块链 大数据 移动开发 嵌入式 开发工具 数据结构与算法 开发测试 游戏开发 网络协议 系统运维
教程: HTML教程 CSS教程 JavaScript教程 Go语言教程 JQuery教程 VUE教程 VUE3教程 Bootstrap教程 SQL数据库教程 C语言教程 C++教程 Java教程 Python教程 Python3教程 C#教程
数码: 电脑 笔记本 显卡 显示器 固态硬盘 硬盘 耳机 手机 iphone vivo oppo 小米 华为 单反 装机 图拉丁
 
   -> 大数据 -> Java对图的操作 -> 正文阅读

[大数据]Java对图的操作

包含检测是否有环,前序、后序等操作

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import org.apache.commons.collections4.CollectionUtils;

import java.util.AbstractMap;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.Set;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * analysis of DAG
 * Node: node
 * NodeInfo:node description information
 * EdgeInfo: edge description information
 */
public class DAG<Node, NodeInfo, EdgeInfo> {
    private static final Logger logger = LoggerFactory.getLogger(DAG.class);

    private final ReadWriteLock lock = new ReentrantReadWriteLock();

    /**
     * node map, key is node, value is node information
     */
    private final Map<Node, NodeInfo> nodesMap;

    /**
     * edge map. key is node of origin;value is Map with key for destination node and value for edge
     */
    private final Map<Node, Map<Node, EdgeInfo>> edgesMap;

    /**
     * reversed edge set,key is node of destination, value is Map with key for origin node and value for edge
     */
    private final Map<Node, Map<Node, EdgeInfo>> reverseEdgesMap;

    public DAG() {
        nodesMap = new HashMap<>();
        edgesMap = new HashMap<>();
        reverseEdgesMap = new HashMap<>();
    }

    /**
     * add node information
     *
     * @param node node
     * @param nodeInfo node information
     */
    public void addNode(Node node, NodeInfo nodeInfo) {
        lock.writeLock().lock();

        try {
            nodesMap.put(node, nodeInfo);
        } finally {
            lock.writeLock().unlock();
        }

    }

    /**
     * add edge
     *
     * @param fromNode node of origin
     * @param toNode node of destination
     * @return The result of adding an edge. returns false if the DAG result is a ring result
     */
    public boolean addEdge(Node fromNode, Node toNode) {
        return addEdge(fromNode, toNode, false);
    }

    /**
     * add edge
     *
     * @param fromNode node of origin
     * @param toNode node of destination
     * @param createNode whether the node needs to be created if it does not exist
     * @return The result of adding an edge. returns false if the DAG result is a ring result
     */
    private boolean addEdge(Node fromNode, Node toNode, boolean createNode) {
        return addEdge(fromNode, toNode, null, createNode);
    }

    /**
     * add edge
     *
     * @param fromNode node of origin
     * @param toNode node of destination
     * @param edge edge description
     * @param createNode whether the node needs to be created if it does not exist
     * @return The result of adding an edge. returns false if the DAG result is a ring result
     */
    public boolean addEdge(Node fromNode, Node toNode, EdgeInfo edge, boolean createNode) {
        lock.writeLock().lock();

        try {
            // Whether an edge can be successfully added(fromNode -> toNode)
            if (!isLegalAddEdge(fromNode, toNode, createNode)) {
                logger.error("serious error: add edge({} -> {}) is invalid, cause cycle!", fromNode, toNode);
                return false;
            }

            addNodeIfAbsent(fromNode, null);
            addNodeIfAbsent(toNode, null);

            addEdge(fromNode, toNode, edge, edgesMap);
            addEdge(toNode, fromNode, edge, reverseEdgesMap);

            return true;
        } finally {
            lock.writeLock().unlock();
        }

    }

    /**
     * whether this node is contained
     *
     * @param node node
     * @return true if contains
     */
    public boolean containsNode(Node node) {
        lock.readLock().lock();

        try {
            return nodesMap.containsKey(node);
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * whether this edge is contained
     *
     * @param fromNode node of origin
     * @param toNode node of destination
     * @return true if contains
     */
    public boolean containsEdge(Node fromNode, Node toNode) {
        lock.readLock().lock();
        try {
            Map<Node, EdgeInfo> endEdges = edgesMap.get(fromNode);
            if (endEdges == null) {
                return false;
            }

            return endEdges.containsKey(toNode);
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * get node description
     *
     * @param node node
     * @return node description
     */
    public NodeInfo getNode(Node node) {
        lock.readLock().lock();

        try {
            return nodesMap.get(node);
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * Get the number of nodes
     *
     * @return the number of nodes
     */
    public int getNodesCount() {
        lock.readLock().lock();

        try {
            return nodesMap.size();
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * Get the number of edges
     *
     * @return the number of edges
     */
    public int getEdgesCount() {
        lock.readLock().lock();
        try {
            int count = 0;

            for (Map.Entry<Node, Map<Node, EdgeInfo>> entry : edgesMap.entrySet()) {
                count += entry.getValue().size();
            }

            return count;
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * get the start node of DAG
     *
     * @return the start node of DAG
     */
    public Collection<Node> getBeginNode() {
        lock.readLock().lock();

        try {
            return CollectionUtils.subtract(nodesMap.keySet(), reverseEdgesMap.keySet());
        } finally {
            lock.readLock().unlock();
        }

    }

    /**
     * get the end node of DAG
     *
     * @return the end node of DAG
     */
    public Collection<Node> getEndNode() {
        lock.readLock().lock();

        try {
            return CollectionUtils.subtract(nodesMap.keySet(), edgesMap.keySet());
        } finally {
            lock.readLock().unlock();
        }

    }

    /**
     * Gets all previous nodes of the node
     *
     * @param node node id to be calculated
     * @return all previous nodes of the node
     */
    public Set<Node> getPreviousNodes(Node node) {
        lock.readLock().lock();

        try {
            return getNeighborNodes(node, reverseEdgesMap);
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * Get all subsequent nodes of the node
     *
     * @param node node id to be calculated
     * @return all subsequent nodes of the node
     */
    public Set<Node> getSubsequentNodes(Node node) {
        lock.readLock().lock();

        try {
            return getNeighborNodes(node, edgesMap);
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * Gets the degree of entry of the node
     *
     * @param node node id
     * @return the degree of entry of the node
     */
    public int getIndegree(Node node) {
        lock.readLock().lock();

        try {
            return getPreviousNodes(node).size();
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * whether the graph has a ring
     *
     * @return true if has cycle, else return false.
     */
    public boolean hasCycle() {
        lock.readLock().lock();
        try {
            return !topologicalSortImpl().getKey();
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * Only DAG has a topological sort
     *
     * @return topologically sorted results, returns false if the DAG result is a ring result
     * @throws Exception errors
     */
    public List<Node> topologicalSort() throws Exception {
        lock.readLock().lock();

        try {
            Map.Entry<Boolean, List<Node>> entry = topologicalSortImpl();

            if (entry.getKey()) {
                return entry.getValue();
            }

            throw new Exception("serious error: graph has cycle ! ");
        } finally {
            lock.readLock().unlock();
        }
    }

    /**
     * if tho node does not exist,add this node
     *
     * @param node node
     * @param nodeInfo node information
     */
    private void addNodeIfAbsent(Node node, NodeInfo nodeInfo) {
        if (!containsNode(node)) {
            addNode(node, nodeInfo);
        }
    }

    /**
     * add edge
     *
     * @param fromNode node of origin
     * @param toNode node of destination
     * @param edge edge description
     * @param edges edge set
     */
    private void addEdge(Node fromNode, Node toNode, EdgeInfo edge, Map<Node, Map<Node, EdgeInfo>> edges) {
        edges.putIfAbsent(fromNode, new HashMap<>());
        Map<Node, EdgeInfo> toNodeEdges = edges.get(fromNode);
        toNodeEdges.put(toNode, edge);
    }

    /**
     * Whether an edge can be successfully added(fromNode -> toNode)
     * need to determine whether the DAG has cycle
     *
     * @param fromNode node of origin
     * @param toNode node of destination
     * @param createNode whether to create a node
     * @return true if added
     */
    private boolean isLegalAddEdge(Node fromNode, Node toNode, boolean createNode) {
        if (fromNode.equals(toNode)) {
            logger.error("edge fromNode({}) can't equals toNode({})", fromNode, toNode);
            return false;
        }

        if (!createNode) {
            if (!containsNode(fromNode) || !containsNode(toNode)) {
                logger.error("edge fromNode({}) or toNode({}) is not in vertices map", fromNode, toNode);
                return false;
            }
        }

        // Whether an edge can be successfully added(fromNode -> toNode),need to determine whether the DAG has cycle!
        int verticesCount = getNodesCount();

        Queue<Node> queue = new LinkedList<>();

        queue.add(toNode);

        // if DAG doesn't find fromNode, it's not has cycle!
        while (!queue.isEmpty() && (--verticesCount > 0)) {
            Node key = queue.poll();

            for (Node subsequentNode : getSubsequentNodes(key)) {
                if (subsequentNode.equals(fromNode)) {
                    return false;
                }

                queue.add(subsequentNode);
            }
        }

        return true;
    }

    /**
     * Get all neighbor nodes of the node
     *
     * @param node Node id to be calculated
     * @param edges neighbor edge information
     * @return all neighbor nodes of the node
     */
    private Set<Node> getNeighborNodes(Node node, final Map<Node, Map<Node, EdgeInfo>> edges) {
        final Map<Node, EdgeInfo> neighborEdges = edges.get(node);
        if (neighborEdges == null) {
            return Collections.emptySet();
        }
        return neighborEdges.keySet();
    }

    /**
     * Determine whether there are ring and topological sorting results
     * <p>
     * Directed acyclic graph (DAG) has topological ordering
     * Breadth First Search:
     * 1、Traversal of all the vertices in the graph, the degree of entry is 0 vertex into the queue
     * 2、Poll a vertex in the queue to update its adjacency (minus 1) and queue the adjacency if it is 0 after minus 1
     * 3、Do step 2 until the queue is empty
     * If you cannot traverse all the nodes, it means that the current graph is not a directed acyclic graph.
     * There is no topological sort.
     *
     * @return key Returns the state
     * if success (acyclic) is true, failure (acyclic) is looped,
     * and value (possibly one of the topological sort results)
     */
    private Map.Entry<Boolean, List<Node>> topologicalSortImpl() {
        // node queue with degree of entry 0
        Queue<Node> zeroIndegreeNodeQueue = new LinkedList<>();
        // save result
        List<Node> topoResultList = new ArrayList<>();
        // save the node whose degree is not 0
        Map<Node, Integer> notZeroIndegreeNodeMap = new HashMap<>();

        // Scan all the vertices and push vertexs with an entry degree of 0 to queue
        for (Map.Entry<Node, NodeInfo> vertices : nodesMap.entrySet()) {
            Node node = vertices.getKey();
            int inDegree = getIndegree(node);

            if (inDegree == 0) {
                zeroIndegreeNodeQueue.add(node);
                topoResultList.add(node);
            } else {
                notZeroIndegreeNodeMap.put(node, inDegree);
            }
        }

        /*
         * After scanning, there is no node with 0 degree of entry,
         * indicating that there is a ring, and return directly
         */
        if (zeroIndegreeNodeQueue.isEmpty()) {
            return new AbstractMap.SimpleEntry<>(false, topoResultList);
        }

        // The topology algorithm is used to delete nodes with 0 degree of entry and its associated edges
        while (!zeroIndegreeNodeQueue.isEmpty()) {
            Node v = zeroIndegreeNodeQueue.poll();
            // Get the neighbor node
            Set<Node> subsequentNodes = getSubsequentNodes(v);

            for (Node subsequentNode : subsequentNodes) {

                Integer degree = notZeroIndegreeNodeMap.get(subsequentNode);

                if (--degree == 0) {
                    topoResultList.add(subsequentNode);
                    zeroIndegreeNodeQueue.add(subsequentNode);
                    notZeroIndegreeNodeMap.remove(subsequentNode);
                } else {
                    notZeroIndegreeNodeMap.put(subsequentNode, degree);
                }

            }
        }

        // if notZeroIndegreeNodeMap is empty,there is no ring!
        return new AbstractMap.SimpleEntry<>(notZeroIndegreeNodeMap.size() == 0, topoResultList);
    }

}


  大数据 最新文章
实现Kafka至少消费一次
亚马逊云科技:还在苦于ETL?Zero ETL的时代
初探MapReduce
【SpringBoot框架篇】32.基于注解+redis实现
Elasticsearch:如何减少 Elasticsearch 集
Go redis操作
Redis面试题
专题五 Redis高并发场景
基于GBase8s和Calcite的多数据源查询
Redis——底层数据结构原理
上一篇文章      下一篇文章      查看所有文章
加:2022-03-15 22:37:16  更:2022-03-15 22:39:21 
 
开发: C++知识库 Java知识库 JavaScript Python PHP知识库 人工智能 区块链 大数据 移动开发 嵌入式 开发工具 数据结构与算法 开发测试 游戏开发 网络协议 系统运维
教程: HTML教程 CSS教程 JavaScript教程 Go语言教程 JQuery教程 VUE教程 VUE3教程 Bootstrap教程 SQL数据库教程 C语言教程 C++教程 Java教程 Python教程 Python3教程 C#教程
数码: 电脑 笔记本 显卡 显示器 固态硬盘 硬盘 耳机 手机 iphone vivo oppo 小米 华为 单反 装机 图拉丁

360图书馆 购物 三丰科技 阅读网 日历 万年历 2024年11日历 -2024/11/24 8:39:08-

图片自动播放器
↓图片自动播放器↓
TxT小说阅读器
↓语音阅读,小说下载,古典文学↓
一键清除垃圾
↓轻轻一点,清除系统垃圾↓
图片批量下载器
↓批量下载图片,美女图库↓
  网站联系: qq:121756557 email:121756557@qq.com  IT数码