线程池中的饱和策略
ThreadPoolExecutor允許提供一個BlockingQueue來保存等待執行的任務。
查看結構圖
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?? 我們需要關注的方法是offer(E),put(E),take()
newFixedThreadPool和newSingleThreadExecutor在默認情況下將使用一個無界的隊列(LinkedBlockingQueue),如果所有線程都在執行任務，那么任務將在隊列中等待，如果任務到達的速度大于線程執行的速度，造成的后果將是隊列無限期增加。
更穩妥的管理策略是使用有界隊列，如：ArrayBlockingQueue,有界的LinkedBlockingQueue,PriorityBlockingQueue.有界隊列避免了資源耗盡的情況，但出現一個問題，隊列填滿后，新的任務該怎么辦？使用拒絕策略。
?? JDK提供了幾種不同的RejectedExecutionHandler實現，每種都是不同的飽和策略：AbortPolicy,CallerRunsPolicy,DiscardPolicy和DiscardOldestPolicy.
AbortPolicy 當任務添加到線程池中被拒絕時，它將拋出 RejectedExecutionException 異常。如下代碼：
1 package cn.concurrent.executor; 2 3 import java.util.concurrent.*; 4 5 /** 6 * Created by spark on 17-9-24. 7 */ 8 public class AbortPolicyDemo { 9 10 public static void main(String[] args) { 11 //初始化一個初始化容量大小為1，阻塞隊列容量為1，maxmumPoolSize大小為1的線程池 12 ThreadPoolExecutor pool = new ThreadPoolExecutor(1, 1, 13 0, TimeUnit.SECONDS, new LinkedBlockingQueue<>(1)); 14 //設置飽和策略為AbortPolicy---拒絕策略/**/,用戶可以捕獲這個異常 15 pool.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy()); 16 //創建線程執行 17 for (int i = 0; i < 5; i++) { 18 MyRunnable myRunnable = new MyRunnable(); 19 pool.execute(myRunnable); 20 } 21 pool.shutdown(); 22 } 23 24 25 static class MyRunnable implements Runnable { 26 @Override 27 public void run() { 28 System.err.println(Thread.currentThread().getId() + ":正在執行"); 29 try { 30 Thread.sleep(300); 31 } catch (InterruptedException e) { 32 e.printStackTrace(); 33 } 34 } 35 } 36 }
結果如下：
Exception in thread "main" java.util.concurrent.RejectedExecutionException: Task cn.concurrent.executor.AbortPolicyDemo$MyRunnable@1d44bcfa rejected from java.util.concurrent.ThreadPoolExecutor@266474c2[Running, pool size = 1, active threads = 1, queued tasks = 1, completed tasks = 0]at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2066)at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:830)at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1379)at cn.concurrent.executor.AbortPolicyDemo.main(AbortPolicyDemo.java:19) 10:正在執行 10:正在執行拋出了RejectedExecutionException，由于飽和策略引起的。
如果修改代碼如下：1 package cn.concurrent.executor; 2 3 import java.util.concurrent.*; 4 5 /** 6 * Created by spark on 17-9-24. 7 */ 8 public class AbortPolicyDemo { 9 10 public static void main(String[] args) { 11 //初始化一個初始化容量大小為1，阻塞隊列容量為1，maxmumPoolSize大小為1的線程池 12 ThreadPoolExecutor pool = new ThreadPoolExecutor(1, 1, 13 0, TimeUnit.SECONDS, new LinkedBlockingQueue<>(1)); 14 //設置飽和策略為AbortPolicy---拒絕策略/**/,用戶可以捕獲這個異常 15 pool.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy()); 16 //創建線程執行 17 for (int i = 0; i < 5; i++) { 18 try { 19 Thread.sleep(500); 20 } catch (InterruptedException e) { 21 e.printStackTrace(); 22 } 23 MyRunnable myRunnable = new MyRunnable(); 24 pool.execute(myRunnable); 25 } 26 pool.shutdown(); 27 } 28 29 30 static class MyRunnable implements Runnable { 31 @Override 32 public void run() { 33 System.err.println(Thread.currentThread().getId() + ":正在執行"); 34 try { 35 Thread.sleep(300); 36 } catch (InterruptedException e) { 37 e.printStackTrace(); 38 } 39 } 40 } 41 }
執行結果為：
1 /usr/lib/jvm/java-1.8.0-openjdk-amd64/bin/java -javaagent:/usr/local/idea/lib/idea_rt.jar=43205:/usr/local/idea/bin -Dfile.encoding=UTF-8 -classpath /usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/charsets.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/cldrdata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/dnsns.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/icedtea-sound.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/jaccess.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/localedata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/nashorn.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunec.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunjce_provider.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunpkcs11.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/zipfs.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jce.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jsse.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/management-agent.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/resources.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/rt.jar:/home/spark/IdeaProjects/thread/thread/target/classes:/home/spark/.m2/repository/com/lmax/disruptor/3.3.2/disruptor-3.3.2.jar cn.concurrent.executor.AbortPolicyDemo 2 10:正在執行 3 10:正在執行 4 10:正在執行 5 10:正在執行 6 10:正在執行 7 8 Process finished with exit code 0原因是：正好每一個線程都有足夠的時間執行，因此有界阻塞隊列不會填滿，程序能夠正常運行。
DiscardOldestPolicy 當任務添加到線程池中被拒絕時，線程池會放棄等待隊列中最舊的未處理任務(拋棄下一個將被執行的任務)，然后將被拒絕的任務添加到等待隊列中，如果隊列是一個優先隊列，那么拋棄最舊的策略就會拋棄優先級最高的任務，因此不要將兩者在一起使用。
如下代碼：
1 package cn.concurrent.executor; 2 3 import java.util.concurrent.ArrayBlockingQueue; 4 import java.util.concurrent.ThreadPoolExecutor; 5 import java.util.concurrent.TimeUnit; 6 7 /** 8 * Created by spark on 17-9-24. 9 */ 10 public class DiscardOledesrPolicy { 11 12 public static void main(String[] args) { 13 14 ThreadPoolExecutor pool = new ThreadPoolExecutor(1, 1, 0, TimeUnit.SECONDS, 15 new ArrayBlockingQueue<Runnable>(1)); 16 //設置飽和策略為DiscardOledestPolicy 17 pool.setRejectedExecutionHandler(new ThreadPoolExecutor.DiscardOldestPolicy()); 18 19 20 for (int i = 0; i < 6; i++) { 21 MyRunnable myRunnable = new MyRunnable("this is " + i + " task"); 22 pool.submit(myRunnable); 23 } 24 pool.shutdown(); 25 } 26 27 static class MyRunnable implements Runnable { 28 29 private String name; 30 31 public MyRunnable(String name) { 32 this.name = name; 33 } 34 35 @Override 36 public void run() { 37 System.err.println(this.name + ": is running."); 38 try { 39 Thread.sleep(300); 40 } catch (InterruptedException e) { 41 e.printStackTrace(); 42 } 43 } 44 } 45 }
結果如下：
/usr/lib/jvm/java-1.8.0-openjdk-amd64/bin/java -javaagent:/usr/local/idea/lib/idea_rt.jar=33258:/usr/local/idea/bin -Dfile.encoding=UTF-8 -classpath /usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/charsets.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/cldrdata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/dnsns.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/icedtea-sound.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/jaccess.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/localedata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/nashorn.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunec.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunjce_provider.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunpkcs11.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/zipfs.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jce.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jsse.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/management-agent.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/resources.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/rt.jar:/home/spark/IdeaProjects/thread/thread/target/classes:/home/spark/.m2/repository/com/lmax/disruptor/3.3.2/disruptor-3.3.2.jar cn.concurrent.executor.DiscardOledesrPolicy this is 0 task: is running. this is 5 task: is running. Process finished with exit code 0從結果中可以看到，1,2,3,4都被丟棄了。
DiscardPolicy 該策略默默地丟棄無法處理的任務，不予任何處理。 代碼如下：1 package cn.concurrent.executor; 2 3 import java.util.concurrent.ArrayBlockingQueue; 4 import java.util.concurrent.PriorityBlockingQueue; 5 import java.util.concurrent.ThreadPoolExecutor; 6 import java.util.concurrent.TimeUnit; 7 8 /** 9 * Created by spark on 17-9-24. 10 */ 11 public class DiscardPolicy { 12 13 public static void main(String[] args) { 14 ThreadPoolExecutor pool=new ThreadPoolExecutor(1,1,0, TimeUnit.SECONDS, 15 new ArrayBlockingQueue<Runnable>(1)); 16 //添加飽和策略為丟棄策略 17 pool.setRejectedExecutionHandler(new ThreadPoolExecutor.DiscardPolicy()); 18 for (int i = 0; i < 6; i++) { 19 MyRunnable myRunnable = new MyRunnable("this is " + i + " task"); 20 pool.submit(myRunnable); 21 } 22 pool.shutdown(); 23 } 24 static class MyRunnable implements Runnable { 25 26 private String name; 27 28 public MyRunnable(String name) { 29 this.name = name; 30 } 31 32 @Override 33 public void run() { 34 System.err.println(this.name + ": is running."); 35 try { 36 Thread.sleep(300); 37 } catch (InterruptedException e) { 38 e.printStackTrace(); 39 } 40 } 41 } 42 }
?結果如下：
1 /usr/lib/jvm/java-1.8.0-openjdk-amd64/bin/java -javaagent:/usr/local/idea/lib/idea_rt.jar=41981:/usr/local/idea/bin -Dfile.encoding=UTF-8 -classpath /usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/charsets.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/cldrdata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/dnsns.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/icedtea-sound.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/jaccess.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/localedata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/nashorn.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunec.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunjce_provider.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunpkcs11.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/zipfs.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jce.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jsse.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/management-agent.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/resources.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/rt.jar:/home/spark/IdeaProjects/thread/thread/target/classes:/home/spark/.m2/repository/com/lmax/disruptor/3.3.2/disruptor-3.3.2.jar cn.concurrent.executor.DiscardPolicy 2 this is 0 task: is running. 3 this is 1 task: is running. 4 5 Process finished with exit code 0?從結果可以看出，2,3,4,5任務都被丟棄了。
線程池pool的"最大池大小"和"核心池大小"都為1(THREADS_SIZE)，這意味著"線程池能同時運行的任務數量最大只能是1"。
線程池pool的阻塞隊列是ArrayBlockingQueue，ArrayBlockingQueue是一個有界的阻塞隊列，ArrayBlockingQueue的容量為1。這也意味著線程池的阻塞隊列只能有一個線程池阻塞等待。根據""中分析的execute()代碼可知：線程池中共運行了2個任務。第1個任務直接放到Worker中，通過線程去執行；第2個任務放到阻塞隊列中等待。其他的任務都被丟棄了！
修改線程池中的隊列為PriorityBlockingQueue看看結果
1 package cn.concurrent.executor; 2 3 import java.util.concurrent.ArrayBlockingQueue; 4 import java.util.concurrent.PriorityBlockingQueue; 5 import java.util.concurrent.ThreadPoolExecutor; 6 import java.util.concurrent.TimeUnit; 7 8 /** 9 * Created by spark on 17-9-24. 10 * 13 */ 14 public class DiscardPolicy2 { 15 16 public static void main(String[] args) { 17 ThreadPoolExecutor pool=new ThreadPoolExecutor(1,1,0, TimeUnit.SECONDS, 18 new PriorityBlockingQueue<>(1)); 19 //添加飽和策略為丟棄策略 20 pool.setRejectedExecutionHandler(new ThreadPoolExecutor.DiscardPolicy()); 21 for (int i = 0; i < 6; i++) { 22 MyRunnable myRunnable = new MyRunnable("this is " + i + " task"); 23 pool.submit(myRunnable); 24 } 25 pool.shutdown(); 26 } 27 static class MyRunnable implements Runnable { 28 29 private String name; 30 31 public MyRunnable(String name) { 32 this.name = name; 33 } 34 35 @Override 36 public void run() { 37 System.err.println(this.name + ": is running."); 38 try { 39 Thread.sleep(300); 40 } catch (InterruptedException e) { 41 e.printStackTrace(); 42 } 43 } 44 } 45 }結果如下：
/usr/lib/jvm/java-1.8.0-openjdk-amd64/bin/java -javaagent:/usr/local/idea/lib/idea_rt.jar=42797:/usr/local/idea/bin -Dfile.encoding=UTF-8 -classpath /usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/charsets.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/cldrdata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/dnsns.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/icedtea-sound.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/jaccess.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/localedata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/nashorn.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunec.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunjce_provider.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunpkcs11.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/zipfs.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jce.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jsse.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/management-agent.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/resources.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/rt.jar:/home/spark/IdeaProjects/thread/thread/target/classes:/home/spark/.m2/repository/com/lmax/disruptor/3.3.2/disruptor-3.3.2.jar cn.concurrent.executor.DiscardPolicy2 Exception in thread "main" java.lang.ClassCastException: java.util.concurrent.FutureTask cannot be cast to java.lang.Comparableat java.util.concurrent.PriorityBlockingQueue.siftUpComparable(PriorityBlockingQueue.java:357)at java.util.concurrent.PriorityBlockingQueue.offer(PriorityBlockingQueue.java:489)at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1371)at java.util.concurrent.AbstractExecutorService.submit(AbstractExecutorService.java:112)at cn.concurrent.executor.DiscardPolicy2.main(DiscardPolicy2.java:23) this is 0 task: is running.
報錯的原因是因為我們的任務沒有優先級，因此應該實現Comparaable接口再看看
1 package cn.concurrent.executor; 2 3 import java.util.concurrent.ArrayBlockingQueue; 4 import java.util.concurrent.PriorityBlockingQueue; 5 import java.util.concurrent.ThreadPoolExecutor; 6 import java.util.concurrent.TimeUnit; 7 8 /** 9 * Created by spark on 17-9-24. 10 * 線程池pool的"最大池大小"和"核心池大小"都為1(THREADS_SIZE)，這意味著"線程池能同時運行的任務數量最大只能是1"。 11 * 線程池pool的阻塞隊列是ArrayBlockingQueue，ArrayBlockingQueue是一個有界的阻塞隊列，ArrayBlockingQueue的容量為1。這也意味著線程池的阻塞隊列只能有一個線程池阻塞等待。 12 * 根據""中分析的execute()代碼可知：線程池中共運行了2個任務。第1個任務直接放到Worker中，通過線程去執行；第2個任務放到阻塞隊列中等待。其他的任務都被丟棄了！ 13 */ 14 public class DiscardPolicy2 { 15 16 public static void main(String[] args) { 17 ThreadPoolExecutor pool = new ThreadPoolExecutor(1, 1, 0, TimeUnit.SECONDS, 18 new PriorityBlockingQueue<>(1)); 19 //添加飽和策略為丟棄策略 20 pool.setRejectedExecutionHandler(new ThreadPoolExecutor.DiscardPolicy()); 21 for (int i = 0; i < 6; i++) { 22 MyRunnable myRunnable = new MyRunnable("this is " + i + " task", i); 23 pool.execute(myRunnable); 24 } 25 pool.shutdown(); 26 } 27 28 static class MyRunnable implements Runnable, Comparable { 29 30 private String name; 31 private int num; 32 33 public MyRunnable(String name, int num) { 34 this.name = name; 35 this.num = num; 36 } 37 38 public MyRunnable(String name) { 39 this.name = name; 40 } 41 42 @Override 43 public void run() { 44 System.err.println(this.name + ": is running."); 45 try { 46 Thread.sleep(300); 47 } catch (InterruptedException e) { 48 e.printStackTrace(); 49 } 50 } 51 52 @Override 53 public int compareTo(Object o) { 54 return 0; 55 } 56 } 57 }結果：
/usr/lib/jvm/java-1.8.0-openjdk-amd64/bin/java -agentlib:jdwp=transport=dt_socket,address=127.0.0.1:41534,suspend=y,server=n -Dfile.encoding=UTF-8 -classpath /usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/charsets.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/cldrdata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/dnsns.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/icedtea-sound.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/jaccess.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/localedata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/nashorn.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunec.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunjce_provider.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunpkcs11.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/zipfs.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jce.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jsse.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/management-agent.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/resources.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/rt.jar:/home/spark/IdeaProjects/thread/thread/target/classes:/home/spark/.m2/repository/com/lmax/disruptor/3.3.2/disruptor-3.3.2.jar:/usr/local/idea/lib/idea_rt.jar cn.concurrent.executor.DiscardPolicy2 Connected to the target VM, address: '127.0.0.1:41534', transport: 'socket' this is 0 task: is running. this is 1 task: is running. this is 5 task: is running. this is 4 task: is running. this is 3 task: is running. this is 2 task: is running. Disconnected from the target VM, address: '127.0.0.1:41534', transport: 'socket'Process finished with exit code 0?這里使用execute沒有使用submit是因為submit返回的結果為FutureTask，這個類沒有實現Comparable
CallerRunsPolicy 該策略只要線程池未關閉，該策略直接在調用者線程中，運行當前被丟棄的任務（白話就是不會拋棄線程，也不拋出異常，而是將任務回退到調用者，從而降低新任務的流量），這樣會影響QPS。 代碼如下：
1 package cn.concurrent.executor; 2 3 import java.util.concurrent.ArrayBlockingQueue; 4 import java.util.concurrent.ThreadPoolExecutor; 5 import java.util.concurrent.TimeUnit; 6 7 /** 8 * Created by spark on 17-9-24. 9 */ 10 public class CallerRunsPolicyDemo { 11 public static void main(String[] args) { 12 ThreadPoolExecutor pool=new ThreadPoolExecutor(1,1,0, TimeUnit.SECONDS, 13 new ArrayBlockingQueue<Runnable>(1)); 14 //添加飽和策略為丟棄策略 15 pool.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy()); 16 for (int i = 0; i < 6; i++) { 17 MyRunnable myRunnable = new MyRunnable("this is " + i + " task"); 18 pool.submit(myRunnable); 19 } 20 pool.shutdown(); 21 } 22 static class MyRunnable implements Runnable { 23 24 private String name; 25 26 public MyRunnable(String name) { 27 this.name = name; 28 } 29 30 @Override 31 public void run() { 32 System.err.println(this.name + ": is running."); 33 try { 34 Thread.sleep(300); 35 } catch (InterruptedException e) { 36 e.printStackTrace(); 37 } 38 } 39 } 40 }
結果如下：
/usr/lib/jvm/java-1.8.0-openjdk-amd64/bin/java -javaagent:/usr/local/idea/lib/idea_rt.jar=40487:/usr/local/idea/bin -Dfile.encoding=UTF-8 -classpath /usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/charsets.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/cldrdata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/dnsns.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/icedtea-sound.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/jaccess.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/localedata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/nashorn.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunec.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunjce_provider.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunpkcs11.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/zipfs.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jce.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jsse.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/management-agent.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/resources.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/rt.jar:/home/spark/IdeaProjects/thread/thread/target/classes:/home/spark/.m2/repository/com/lmax/disruptor/3.3.2/disruptor-3.3.2.jar cn.concurrent.executor.CallerRunsPolicyDemo this is 2 task: is running. this is 0 task: is running. this is 3 task: is running. this is 1 task: is running. this is 5 task: is running. this is 4 task: is running.Process finished with exit code 0?
我們還可以自定義飽和策略：如下：1 package cn.concurrent; 2 3 import java.util.concurrent.*; 4 5 /** 6 * Created by spark on 17-9-3. 7 * 主要演示線程池的拒絕策略實現的接口RejectedExecutionHandler 8 */ 9 public class RejectThreadPoolDemo { 10 11 public static class MyTask implements Runnable { 12 @Override 13 public void run() { 14 System.out.println(System.currentTimeMillis() + ":Thread ID:" + Thread.currentThread().getId()); 15 try { 16 Thread.sleep(100); 17 } catch (InterruptedException e) { 18 e.printStackTrace(); 19 } 20 } 21 } 22 23 //實現RejectExecutionHandler 24 public static void main(String[] args) throws InterruptedException { 25 MyTask myTask = new MyTask(); 26 //創建一個線程池 27 ExecutorService es = new ThreadPoolExecutor(5, 5, 0L, TimeUnit.MILLISECONDS, 28 new LinkedBlockingDeque<Runnable>(10), 29 Executors.defaultThreadFactory(), 30 new RejectedExecutionHandler() { 31 //自定義拒絕策略的處理 32 @Override 33 public void rejectedExecution(Runnable runnable, ThreadPoolExecutor threadPoolExecutor) { 34 System.out.println(runnable.toString() + " is discard"); 35 } 36 }); 37 for(int i=0;i<Integer.MAX_VALUE;i++){ 38 es.submit(myTask); 39 Thread.sleep(10); 40 } 41 } 42 }
結果如下：
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/usr/lib/jvm/java-1.8.0-openjdk-amd64/bin/java -javaagent:/usr/local/idea/lib/idea_rt.jar=35478:/usr/local/idea/bin -Dfile.encoding=UTF-8 -classpath /usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/charsets.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/cldrdata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/dnsns.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/icedtea-sound.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/jaccess.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/localedata.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/nashorn.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunec.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunjce_provider.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/sunpkcs11.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/ext/zipfs.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jce.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/jsse.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/management-agent.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/resources.jar:/usr/lib/jvm/java-1.8.0-openjdk-amd64/jre/lib/rt.jar:/home/spark/IdeaProjects/thread/thread/target/classes:/home/spark/.m2/repository/com/lmax/disruptor/3.3.2/disruptor-3.3.2.jar cn.concurrent.RejectThreadPoolDemo 1506244149620:Thread ID:10 1506244149630:Thread ID:11 1506244149640:Thread ID:12 1506244149651:Thread ID:13 1506244149661:Thread ID:14 1506244149720:Thread ID:10 1506244149730:Thread ID:11 1506244149740:Thread ID:12 1506244149751:Thread ID:13 1506244149761:Thread ID:14 1506244149821:Thread ID:10 1506244149830:Thread ID:11 1506244149841:Thread ID:12 1506244149851:Thread ID:13 1506244149862:Thread ID:14 java.util.concurrent.FutureTask@63947c6b is discard java.util.concurrent.FutureTask@2b193f2d is discard java.util.concurrent.FutureTask@355da254 is discard java.util.concurrent.FutureTask@4dc63996 is discard java.util.concurrent.FutureTask@d716361 is discard 1506244149921:Thread ID:10 1506244149930:Thread ID:11 1506244149941:Thread ID:12 1506244149951:Thread ID:13 1506244149962:Thread ID:14 java.util.concurrent.FutureTask@6ff3c5b5 is discard java.util.concurrent.FutureTask@3764951d is discard java.util.concurrent.FutureTask@4b1210ee is discard java.util.concurrent.FutureTask@4d7e1886 is discard java.util.concurrent.FutureTask@3cd1a2f1 is discard 1506244150023:Thread ID:10 1506244150031:Thread ID:11?可以看到，飽和策略生效了，在實際應用中，我們可以記錄日志，分析系統的負載和任務丟失的情況。
記錄點點滴滴，有很多要學習，望大家指點。?
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轉載于:https://www.cnblogs.com/lwy19998273333/p/7587686.html
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