Java中的阻塞隊列BlockingQueue使用詳解
1.BlockingQueue 簡介
BlockingQuene是一個阻塞隊列接口,當BlockingQueue操作無法立即響應時,有四種處理方式:
- 拋出異常;
- 返回特定的值,根據操作不同,可能是null或者false中的一個;
- 無限制的阻塞當前線程,直到操作可以成功為止;
- 根據阻塞超時設置來進行阻塞;
BlockingQueue的核心和未響應處理方式的對應形式如下:
| 方式 | 拋出異常 | 返回特定值 | 無限阻塞 | 超時 |
| 插入 | add(e) | offer (e) | put(e) | offer(e,time,unit) |
| 移除 | remove() | poll() | take() | poll(time,unit) |
| 查詢 | element() | peek() |
2.ArrayBlockingQueue(有界隊列)
ArrayBlockingQueue是基于數(shù)組實現(xiàn)的有界BlockingQueue,該隊列滿足先入先出(FIFO)的特性,當隊列滿時,存數(shù)據的操作會被阻塞;隊列空的時候,取數(shù)據的操作會被阻塞。
/**
* @Author Dominick Li
* @CreateTime 2022/3/6 20:03
* @Description 消息生產者
**/
public class Product implements Runnable {
private BlockingQueue<String> bq;
/**
* 多少秒生產一條任務
*/
private int period;
private Random r = new Random();
/**
* 生產者名稱
*/
private String name;
Product(BlockingQueue<String> bq, int period, String name) {
this.bq = bq;
this.period=period;
this.name=name;
}
@Override
public void run() {
try {
while (true){
Thread.sleep(period);
String product=String.valueOf(r.nextInt(100));
//如果隊列滿了則阻塞
bq.put(product);
System.out.println("生產者["+this.name+"]生產"+product+",當前隊列中產品為:"+bq);
}
}catch (Exception e){
e.printStackTrace();
}
}
}
/**
* @Author Dominick Li
* @CreateTime 2022/3/6 20:11
* @Description 消費者
**/
public class Cusumer implements Runnable {
private BlockingQueue<String> bq;
/**
* 多少秒獲取一條任務
*/
private int period;
/**
* 消費者名稱
*/
private String name;
Cusumer(BlockingQueue<String> bq, int period, String name) {
this.bq = bq;
this.period=period;
this.name=name;
}
@Override
public void run() {
try {
while (true){
Thread.sleep(period);
String value=bq.take();
System.out.println("消費者["+this.name+"]消費"+value+",當前隊列中產品為:"+bq);
}
}catch (Exception e){
e.printStackTrace();
}
}
}
public class Test {
public static void main(String[] args) {
BlockingQueue blockingQueue = new ArrayBlockingQueue(5);
ExecutorService pool = Executors.newCachedThreadPool();
pool.execute(new Product(blockingQueue, 1000, "生產者"));
pool.execute(new Cusumer(blockingQueue, 5000, "消費者001"));
pool.execute(new Cusumer(blockingQueue, 5000, "消費者002"));
pool.shutdown();
}
}
運行效果如下

3.LinkedBlockingQueue(雙鎖線程安全隊列)
與ArrayBlockingQueue相比,LinkedBlockingQueue的重入鎖被分成了兩份,分別對應存值和取值,這種實現(xiàn)方法被稱為雙鎖隊列算法,這樣的好處是讀寫操作的lock操作由兩個鎖控制,因此可以同時進程讀操作和寫操作,這也是LinkedBlockingQueue吞吐量超出ArrayBlockingQueue的主要原因,但是使用兩個鎖比一個鎖復雜很多,需要考慮各種死鎖的狀態(tài)。 使用方法和ArrayBlockingQueue一致
public class Test {
public static void main(String[] args) {
LinkedBlockingQueue linkedBlockingQueue = new LinkedBlockingQueue(5);
ExecutorService pool = Executors.newCachedThreadPool();
pool.execute(new Product(linkedBlockingQueue, 1000, "生產者"));
pool.execute(new Cusumer(linkedBlockingQueue, 5000, "消費者1"));
pool.shutdown();
}
}
4.PriorityBlockingQueue(優(yōu)先級隊列)
優(yōu)先級阻塞隊列ProiorityBlockQueue不是FIFO(先入先出)隊列,它要求使用者提供一個Comparetor比較器,或者隊列內部元素實現(xiàn)Comparable接口,隊頭元素會是整個隊列里的最小元素.
PriorityBlockQueue是用數(shù)組實現(xiàn)的最小堆結構,利用的原理是: 在數(shù)組實現(xiàn)的完全二叉樹中根節(jié)點的下標為子節(jié)點的下標除以2,長度是不定的,會隨著數(shù)據的增長而逐步擴容
public class PriorityProduct implements Comparable<PriorityProduct> {
/**
* 任務的優(yōu)先級
*/
private int priority;
private String productName;
public PriorityProduct(int priority, String productName) {
this.priority = priority;
this.productName = productName;
}
@Override
public int compareTo(PriorityProduct o) {
if (o == null) return -1;
if (o == this) return 0;
return o.priority - this.priority;
}
@Override
public String toString(){
return "{priority="+priority+",name="+this.productName;
}
}
public class PriorityBlockQueueProduct implements Runnable {
private PriorityBlockingQueue<PriorityProduct> bq;
/**
* 多少秒生產一條任務
*/
private int period;
private Random r = new Random();
public PriorityBlockQueueProduct(PriorityBlockingQueue<PriorityProduct> bq, int period) {
this.bq = bq;
this.period = period;
}
@Override
public void run() {
try {
while (true) {
Thread.sleep(period);
if(bq.size()>10){
//限制大小
continue;
}
//隨機生成優(yōu)先級5以內的
PriorityProduct priorityProduct = new PriorityProduct(r.nextInt(5), "test");
//如果隊列滿了則阻塞
bq.put(priorityProduct);
//System.out.println("生產者商品[" +priorityProduct + "],當前隊列中產品為:" + bq);
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
public class PriorityBlockQueueCusumer implements Runnable {
private PriorityBlockingQueue<PriorityProduct> bq;
/**
* 多少秒消費一條任務
*/
private int period;
public PriorityBlockQueueCusumer(PriorityBlockingQueue<PriorityProduct> bq, int period) {
this.bq = bq;
this.period = period;
}
@Override
public void run() {
try {
while (true) {
Thread.sleep(period);
//如果隊列滿了則阻塞
PriorityProduct priorityProduct=bq.take();
System.out.println("消費產品[" +priorityProduct + "],當前隊列中產品為:" + bq);
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
public class PriorityTest {
public static void main(String[] args) {
PriorityBlockingQueue<PriorityProduct> priorityProducts=new PriorityBlockingQueue<>();
ExecutorService executorService= Executors.newFixedThreadPool(2);
executorService.execute(new PriorityBlockQueueProduct(priorityProducts,100));
executorService.execute(new PriorityBlockQueueCusumer(priorityProducts,1000));
}
}
運行結果如下,可以查看消費者在消費的時候只會消費任務隊列中優(yōu)先級最高的任務

到此這篇關于Java中的阻塞隊列BlockingQueue使用詳解的文章就介紹到這了,更多相關Java阻塞隊列BlockingQueue內容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關文章希望大家以后多多支持腳本之家!
相關文章
Spring?Boot源碼實現(xiàn)StopWatch優(yōu)雅統(tǒng)計耗時
這篇文章主要為大家介紹了Spring?Boot源碼實現(xiàn)StopWatch優(yōu)雅統(tǒng)計耗時,有需要的朋友可以借鑒參考下,希望能夠有所幫助,祝大家多多進步,早日升職加薪2022-07-07
使用Spring Boot實現(xiàn)操作數(shù)據庫的接口的過程
本文給大家分享使用Spring Boot實現(xiàn)操作數(shù)據庫的接口的過程,包括springboot原理解析及實例代碼詳解,感興趣的朋友跟隨小編一起看看吧2021-07-07

