Three examples of Java multi-threaded processing of List data (code)

This article brings you three examples (code) of Java multi-threaded processing of List data. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.

Example 1:

Solving the problem: How to let n threads sequentially traverse a List collection containing n elements

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));
}
}

Example 2:

Multiple Lists Thread concurrent reading reads the existing list object

//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));
        }              
    }    
}

Instance 3:

Multi-threaded segmented processing of List collection

Scenario: big data List collection, need to list The data in the collection is compared with the data in the standard library to generate new, updated, and canceled data
Solution:

List collection segmentation,

Dynamicly create a thread pool newFixedThreadPool

Implement comparison operations in multiple threads

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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