20.custom自定义线程池

自定义线程池

    1.若Executors工厂类无法满足需求,可以自己使用工厂类创建线程池,底层都是使用了ThreadPoolExecutor这个类可以自定义。

 

  1. public ThreadPoolExecutor(int corePoolSize(当前核心线程数),
  2. int maximunPoolSize(最大线程数),
  3. long keepAliveTime(保持活跃时间),
  4. TimeUnit utin(时间单位),
  5. BlockingQueue<Runnable> workQueue(线程队列容器),
  6. ThreadFactory threadFactory(线程工厂),
  7. RejectedExecutionHandler rejectedExecutionHandler(拒绝执行的方法,线程队列阻塞到容器等待、例:限制最大执行、));
    2.有界队列【ArrayBlockingQueue】,若有新的任务则立即去执行:若有新的线程需要执行,目标线程池实际数小于"coreRoolSize",则优先参加线程,若大于,

则会将任务加入队 列中,若队列已经满,则在总线程数不大于maximumPoolSize(最大coreRoolSize数)的前提下。创建一个新的线程,若大于               maximumPoolSize则实行拒绝策略、或其他处理方式。

    3.无界队列【LinkedBlockingQueue】与有界队列对比:除非资源耗尽,否则无界队列在加入任务不存在失败的情况下,当有新的任务到来,系统的线程数小于
       corePoolSize的时候,则新建线程去执行任务队列,,达到maxCorePoolsize后就不会增加了,若后续还有任务到来,而且没有空闲的资源,则把任务进行
        队列中去等待。若创建任务与处理任务的速度差异很大,无界队列保持快速增加等待的任务空间,一直到资源耗尽。
    4.拒绝策略
                    Abortlicy:直接抛出异常、核心系统则不会受到影响。
                    CallerRunspPolicy:该策略直接在调用者现场,运行当前被拒绝的任务、丢弃的任务(我刚刚进行队列就满了,那么就让我插个队执行)。
                    DiscardOldestPolicy:丢弃最老的一个请求(被阻塞在队列中很长时间),尝试直接运行当前被拒绝的任务。
                    DiscardPolicy:丢弃无法处理的任务,被给与任何的后续处理。
    5.自定义策略
                    
  1. implements RejectedExecutionHandle
案例1:有界队列
  1. package demo8.threadPool;
  2. import java.util.concurrent.*;
  3. public class CustomThreadPool1 {
  4. /* 有界队列ArrayBlockingQueue:
  5. 若有新的线程需要执行,日光线程池实际数小于"coreRoolSize",则优先参加线程,若大于,则会将任务加入队列中,若队列已经满,则在总线程
  6. 数不大于maximumPoolSize(最大coreRoolSize数)的前提下。创建一个新的线程,若大于maximumPoolSize则实行拒绝策略、或其他处理方式。*/
  7. public static void main(String[] args) {
  8. BlockingQueue<Runnable> blockingQueue = new ArrayBlockingQueue<Runnable>(3);
  9. ThreadPoolExecutor threadPoolExecutor = new ThreadPoolExecutor(1,
  10. 2,
  11. 60,
  12. TimeUnit.SECONDS,
  13. blockingQueue);
  14. UserTask userTask1 = new UserTask(1, "任务-1");
  15. UserTask userTask2 = new UserTask(2, "任务-2");
  16. UserTask userTask3 = new UserTask(3, "任务-3");
  17. UserTask userTask4 = new UserTask(4, "任务-4");
  18. UserTask userTask5 = new UserTask(5, "任务-5");
  19. threadPoolExecutor.execute(userTask1);
  20. threadPoolExecutor.execute(userTask2);
  21. threadPoolExecutor.execute(userTask3);
  22. threadPoolExecutor.execute(userTask4);
  23. threadPoolExecutor.execute(userTask5);
  24. try {
  25. Thread.sleep(1000);
  26. } catch (InterruptedException e) {
  27. e.printStackTrace();
  28. }
  29. threadPoolExecutor.shutdown();
  30. }
  31. }
  32. 输出:
  33. pool-1-thread-1 run taskId:1 pool-1-thread-2 run taskId:5 pool-1-thread-2 run taskId:3 pool-1-thread-1 run taskId:2 pool-1-thread-2 run taskId:4    这种情况处理完所有的任务
  1. package demo8.threadPool;
  2. /**
  3. * Created by liudan on 2017/7/23.
  4. */
  5. public class UserTask implements Runnable {
  6. private int id;
  7. private String taskName;
  8. @Override
  9. public void run() {
  10. try {
  11. Thread.sleep(1000);
  12. System.err.println(Thread.currentThread().getName()+"\t run taskId:"+this.getId());
  13. } catch (InterruptedException e) {
  14. e.printStackTrace();
  15. }
  16. }
  17. public UserTask() {
  18. }
  19. public UserTask(int id, String taskName) {
  20. this.id = id;
  21. this.taskName = taskName;
  22. }
  23. public int getId() {
  24. return id;
  25. }
  26. public void setId(int id) {
  27. this.id = id;
  28. }
  29. public String getTaskName() {
  30. return taskName;
  31. }
  32. public void setTaskName(String taskName) {
  33. this.taskName = taskName;
  34. }
  35. @Override
  36. public String toString() {
  37. return "UserTask{" +
  38. "id=" + id +
  39. '}';
  40. }
  41. }
案例2:拒绝任务,超出暂缓任务对了大小
  1. public static void main(String[] args) {
  2. BlockingQueue<Runnable> blockingQueue = new ArrayBlockingQueue<Runnable>(3);
  3. ThreadPoolExecutor threadPoolExecutor = new ThreadPoolExecutor(1,
  4. 2,
  5. 60,
  6. TimeUnit.SECONDS,
  7. blockingQueue);
  8. UserTask userTask1 = new UserTask(1, "任务-1");
  9. UserTask userTask2 = new UserTask(2, "任务-2");
  10. UserTask userTask3 = new UserTask(3, "任务-3");
  11. UserTask userTask4 = new UserTask(4, "任务-4");
  12. UserTask userTask5 = new UserTask(5, "任务-5");
  13. UserTask userTask6 = new UserTask(6, "任务-6");多加一个
  14. threadPoolExecutor.execute(userTask1);
  15. threadPoolExecutor.execute(userTask2);
  16. threadPoolExecutor.execute(userTask3);
  17. threadPoolExecutor.execute(userTask4);
  18. threadPoolExecutor.execute(userTask5);
  19. threadPoolExecutor.execute(userTask6);
  20. try {
  21. Thread.sleep(1000);
  22. } catch (InterruptedException e) {
  23. e.printStackTrace();
  24. }
  25. threadPoolExecutor.shutdown();
  26. }
  27. 输出:
  28. Exception in thread "main" java.util.concurrent.RejectedExecutionException:
  29. Task UserTask{id=6} rejected from java.util.concurrent.ThreadPoolExecutor@6f94fa3e
  30. [Running, pool size = 2, active threads = 2, queued tasks = 3, completed tasks = 0] at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2047) at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:823) at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1369) at demo8.threadPool.CustomThreadPool1.main(CustomThreadPool1.java:35) pool-1-thread-1 run taskId:1 pool-1-thread-2 run taskId:5 pool-1-thread-1 run taskId:2 pool-1-thread-2 run taskId:3 pool-1-thread-1 run taskId:4
案例3:自定义拒绝策略
  1. package demo8.threadPool;
  2. import java.util.concurrent.RejectedExecutionHandler;
  3. import java.util.concurrent.ThreadPoolExecutor;
  4. public class CustomDiscardPolicy implements RejectedExecutionHandler {
  5. public CustomDiscardPolicy() {
  6. }
  7. @Override
  8. public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) {
  9. System.err.println("拒绝任务");
  10. /**
  11. * 用日志记录保存下,可做后续的扩展操作
  12. */
  13. System.err.println("加入任务log...\t"+r.toString());
  14. }
  15. }
  1. public static void main(String[] args) {
  2. BlockingQueue<Runnable> blockingQueue = new ArrayBlockingQueue<Runnable>(3);
  3. ThreadPoolExecutor threadPoolExecutor = new ThreadPoolExecutor(1,
  4. 2,
  5. 60,
  6. TimeUnit.SECONDS,
  7. blockingQueue,
  8. new CustomDiscardPolicy());//使用自定义拒绝策略
  9. UserTask userTask1 = new UserTask(1, "任务-1");
  10. UserTask userTask2 = new UserTask(2, "任务-2");
  11. UserTask userTask3 = new UserTask(3, "任务-3");
  12. UserTask userTask4 = new UserTask(4, "任务-4");
  13. UserTask userTask5 = new UserTask(5, "任务-5");
  14. UserTask userTask6 = new UserTask(6, "任务-6");
  15. threadPoolExecutor.execute(userTask1);
  16. threadPoolExecutor.execute(userTask2);
  17. threadPoolExecutor.execute(userTask3);
  18. threadPoolExecutor.execute(userTask4);
  19. threadPoolExecutor.execute(userTask5);
  20. threadPoolExecutor.execute(userTask6);
  21. try {
  22. Thread.sleep(1000);
  23. } catch (InterruptedException e) {
  24. e.printStackTrace();
  25. }
  26. threadPoolExecutor.shutdown();
  27. }
  28. 输出:
  29. 拒绝任务 加入任务log... UserTask{id=6} pool-1-thread-1 run taskId:1 pool-1-thread-2 run taskId:5 pool-1-thread-1 run taskId:2 pool-1-thread-2 run taskId:3 pool-1-thread-1 run taskId:4
案例4:无界队列LinkedBlockingQueue
  1. package demo8.threadPool;
  2. import java.util.concurrent.*;
  3. public class CustomThreadPool2 {
  4. /* 无界队列LinkedBlockingQueue:
  5. 与有界队列相比,除非系统资源耗尽,否则无界的任务队列不存在加入任务队列失败的情况下,当有新的任务到来,系统的线程数小于coreRoolSize
  6. 时候,则新建线程执行任务,当到达coreRoolSize后就不会增加了,若后续还有新的任务加入,而且没有空闲的线程资源,则任务直接进入队列等待
  7. 。若任务创建和处理速度差异很大,无界队列保持快速增长,知道耗尽系统内存。*/
  8. public static void main(String[] args) throws InterruptedException {
  9. BlockingQueue<Runnable> blockingQueue = new LinkedBlockingQueue<Runnable>();
  10. ThreadPoolExecutor threadPoolExecutor = new ThreadPoolExecutor(5,10,120L, TimeUnit.SECONDS,blockingQueue);
  11. //ThreadPoolExecutor threadPoolExecutor = (ThreadPoolExecutor) Executors.newFixedThreadPool(4);
  12. for (int i=1;i<=20;i++){
  13. threadPoolExecutor.execute(new UserTask(i,"任务-"+i));
  14. }
  15. Thread.sleep(1000);
  16. System.err.println("blockingQueue size:"+blockingQueue.size());
  17. Thread.sleep(2000);
  18. }
  19. }
  20. 输出:
  21. pool-1-thread-1 run taskId:1 pool-1-thread-2 run taskId:2 pool-1-thread-3 run taskId:3 pool-1-thread-4 run taskId:4 pool-1-thread-5 run taskId:5 blockingQueue size:10 pool-1-thread-2 run taskId:7 pool-1-thread-4 run taskId:9 pool-1-thread-3 run taskId:8 pool-1-thread-1 run taskId:6 pool-1-thread-5 run taskId:10 pool-1-thread-2 run taskId:11 pool-1-thread-1 run taskId:14 pool-1-thread-3 run taskId:13 pool-1-thread-4 run taskId:12 pool-1-thread-5 run taskId:15 pool-1-thread-1 run taskId:17 pool-1-thread-4 run taskId:19 pool-1-thread-5 run taskId:20 pool-1-thread-2 run taskId:16 pool-1-thread-3 run taskId:18

 




posted @ 2017-08-10 02:02  逍遥叹!!  阅读(323)  评论(0编辑  收藏  举报