服務端沒接受一次任務就創建一個線程,如果成千上萬次請求,那么將創建萬計的線程,這樣會導入服務器頻繁的進行線程的切換,增加系統負擔。
線程池技術能很好的解決這個問題。
- 消除了頻繁創建和消亡線程的系統資源開銷。
- 面對過量任務的提交能夠平緩的劣化。
客戶端線程將任務添加到任務隊列jobs后就返回。工作者線程Worker不斷從任務隊列取出任務進行處理,當任務為空的時候,工作者線程等待,一旦有任務添加到隊列,工作者線程立馬被激活。
ThreadPool.java
package com.threadpooltest;
public interface ThreadPool<Job extends Runnable>{
//執行一個Job,這個job需要實現runnable
void execute(Job job);
//關閉線程池
void shutdown();
//增加工作者線程
void addWorkers(int num);
//減少工作者線程
void removeWorker(int num);
//得到正在等待執行的任務數量
int getJobSize();
}
DefaultThreadPool.java
package com.threadpooltest;
import java.util.ArrayList;
import java.util.Collections;
import java.util.LinkedList;
import java.util.List;
import java.util.concurrent.atomic.AtomicLong;
public class DefaultThreadPool<Job extends Runnable> implements ThreadPool<Job> {
//線程池最大限制數
private static final int MAX_WORKER_NUMBERS = 10;
//線程池默認數量
private static final int DEFAULT_WORKER_NUMBER = 5;
//線程池最小數量
private static final int MIN_WORKER_NUMBER = 1;
//這是一個工作列表,將會向里面插入工作
private final LinkedList<Job> jobs = new LinkedList<Job>();
//工作者列表
//Collections.synchronizedList使非同步的集合變成同步的(我理解這樣在多線程對該集合進行操作的時候就不用手動加鎖了)。
private final List<Worker> workers = Collections.synchronizedList(new ArrayList<Worker>());
//工作者線程的數量
private int workerNum = DEFAULT_WORKER_NUMBER;
//線程編號生成
private AtomicLong threadNum = new AtomicLong();
public DefaultThreadPool(){
initializeWorkers(DEFAULT_WORKER_NUMBER);
}
public DefaultThreadPool(int num){
workerNum = num > MAX_WORKER_NUMBERS? MAX_WORKER_NUMBERS : num<MIN_WORKER_NUMBER?MIN_WORKER_NUMBER:num;
initializeWorkers(workerNum);
}
//初始化線程工作者
private void initializeWorkers(int num){
for(int i = 0; i<num; i++){
Worker worker = new Worker();
workers.add(worker);
Thread thread = new Thread(worker, "ThreadPool-Worker-" + threadNum.incrementAndGet() );//incrementAndGet原子的方式加一
thread.start();
}
}
@Override
public void execute(Job job) {
if(job != null){
//添加一個工作,然后進行通知
synchronized(jobs){
jobs.add(job);
jobs.notifyAll();
}
}
}
@Override
public void shutdown() {
for(Worker worker : workers){
worker.shutdown();
}
}
@Override
public void addWorkers(int num) {
synchronized(jobs){//這個加鎖有必要用嗎?我覺得這里不需要。
//限制新增的worker數量不能超過最大值
if(num + this.workerNum > MAX_WORKER_NUMBERS){
num = MAX_WORKER_NUMBERS - this.workerNum;
}
initializeWorkers(num);
this.workerNum += num;
}
}
@Override
public void removeWorker(int num) {
synchronized(jobs){
if(num >= this.workerNum){
throw new IllegalArgumentException("beyond worknum.");
}
//按照給定的數量停止worker
int count = 0;
while(count<num){
Worker worker = workers.get(count);
worker.shutdown();
count++;
}
this.workerNum -= num;
}
}
@Override
public int getJobSize() {
return jobs.size();
}
class Worker implements Runnable{
//是否工作
private volatile boolean running = true;
public void run() {
while(running){
Job job = null;
synchronized(jobs){
//如果工作者列表是空的,那么久wait
while(jobs.isEmpty()){
try {
jobs.wait();
} catch (InterruptedException e) {
//感知到外部對workerThread的中斷操作,返回
Thread.currentThread().interrupt();
e.printStackTrace();
}
}
//取出一個job
job = jobs.removeFirst();
}
if(job != null){
System.out.println(Thread.currentThread().getName() + "處理一個job。");
job.run();
}
}
}
public void shutdown(){
running = false;
}
}
}
ThreadPoolMain.java
package com.threadpooltest;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
public class ThreadPoolMain {
public static void main(String[] args) {
ThreadPool tp = new DefaultThreadPool<Task>();
int i = 0;
while(i++ < 7){
tp.execute(new Task());
}
BufferedReader br = new BufferedReader(new InputStreamReader(System.in));
String command = "";
while(true){
try {
System.out.println("請輸入指令:");
command = br.readLine();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
if(command.equals("quit")){
break;
}else if(command.equals("add")){
i = 0;
while(i++ < 7){
tp.execute(new Task());
}
}else if(command.equals("minus")){
}else if(command.equals("shutdown")){
tp.shutdown();
}
}
}
}
class Task implements Runnable{
@Override
public void run() {
System.out.println("Task 處理完畢!");
}
}