实例1：

解决问题：如何让n个线程顺序遍历含有n个元素的List集合

import java.util.ArrayList;import java.util.List;import org.apache.commons.lang3.ArrayUtils;public class Test_4 {/*** 多线程处理list** @param data 数据list* @param threadNum 线程数*/public synchronized void handleList(List<String> data, int threadNum) {int length = data.size();int tl = length % threadNum == 0 ? length / threadNum : (length/ threadNum + 1);for (int i = 0; i < threadNum; i++) {int end = (i + 1) * tl;HandleThread thread = new HandleThread("线程[" + (i + 1) + "] ", data, i * tl, end > length ? length : end);thread.start();}}class HandleThread extends Thread {private String threadName;private List<String> data;private int start;private int end;public HandleThread(String threadName, List<String> data, int start, int end) {this.threadName = threadName;this.data = data;this.start = start;this.end = end;}public void run() {List<String> subList = data.subList(start, end)/*.add("^&*")*/;System.out.println(threadName+"处理了"+subList.size()+"条！");}}public static void main(String[] args) {Test_4 test = new Test_4();// 准备数据List<String> data = new ArrayList<String>();for (int i = 0; i < 6666; i++) {data.add("item" + i);}test.handleList(data, 5);System.out.println(ArrayUtils.toString(data));}}

实例2：

List多线程并发读取读取现有的list对象

//测试读取List的线程类，大概34秒package com.thread.list; import java.util.ArrayList;import java.util.HashMap;import java.util.List;import java.util.Map; public class Main { public static void main(String[] args) { List<String> list = new ArrayList<String>(); Map<Long,Integer> map = new HashMap<Long,Integer>(); for(int i = 0;i<1000;i++){ list.add(""+i); } int pcount = Runtime.getRuntime().availableProcessors(); long start = System.currentTimeMillis(); for(int i=0;i<pcount;i++){ Thread t = new MyThread1(list,map); map.put(t.getId(),Integer.valueOf(i)); t.start(); try { t.join(); } catch (InterruptedException e) { e.printStackTrace(); } // System.out.println(list.get(i)); } System.out.println("----"+(System.currentTimeMillis() - start)); } }//线程类package com.thread.list; import java.util.List;import java.util.Map; public class MyThread1 extends Thread { private List<String> list; private Map<Long,Integer> map; public MyThread1(List<String> list,Map<Long,Integer> map){ this.list = list; this.map = map; } @Override public void run() { int pcount = Runtime.getRuntime().availableProcessors(); int i = map.get(Thread.currentThread().getId()); for(;i<list.size();i+=pcount){ System.out.println(list.get(i)); } } }

实例3：

多线程分段处理List集合

场景:大数据List集合,需要对List集合中的数据同标准库中数据进行对比,生成新增,更新,取消数据
解决方案:

List集合分段,

动态创建线程池newFixedThreadPool

将对比操作在多线程中实现

public static void main(String[] args) throws Exception { // 开始时间 long start = System.currentTimeMillis(); List<String> list = new ArrayList<String>(); for (int i = 1; i <= 3000; i++) { list.add(i + ""); } // 每500条数据开启一条线程 int threadSize = 500; // 总数据条数 int dataSize = list.size(); // 线程数 int threadNum = dataSize / threadSize + 1; // 定义标记,过滤threadNum为整数 boolean special = dataSize % threadSize == 0; // 创建一个线程池 ExecutorService exec = Executors.newFixedThreadPool(threadNum); // 定义一个任务集合 List<Callable<Integer>> tasks = new ArrayList<Callable<Integer>>(); Callable<Integer> task = null; List<String> cutList = null; // 确定每条线程的数据 for (int i = 0; i < threadNum; i++) { if (i == threadNum - 1) { if (special) { break; } cutList = list.subList(threadSize * i, dataSize); } else { cutList = list.subList(threadSize * i, threadSize * (i + 1)); } // System.out.println("第" + (i + 1) + "组：" + cutList.toString()); final List<String> listStr = cutList; task = new Callable<Integer>() { @Override public Integer call() throws Exception { System.out.println(Thread.currentThread().getName() + "线程：" + listStr); return 1; } }; // 这里提交的任务容器列表和返回的Future列表存在顺序对应的关系 tasks.add(task); } List<Future<Integer>> results = exec.invokeAll(tasks); for (Future<Integer> future : results) { System.out.println(future.get()); } // 关闭线程池 exec.shutdown(); System.out.println("线程任务执行结束"); System.err.println("执行任务消耗了 ：" + (System.currentTimeMillis() - start) + "毫秒"); }

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