Java線程池的幾種實現方法和區別介紹
import java.text.DateFormat;import java.text.SimpleDateFormat;import java.util.ArrayList;import java.util.Date;import java.util.List;import java.util.Random;import java.util.concurrent.Callable;import java.util.concurrent.ExecutorService;import java.util.concurrent.Executors;import java.util.concurrent.Future;public class TestThreadPool { // -newFixedThreadPool與cacheThreadPool差不多,也是能reuse就用,但不能隨時建新的線程 // -其獨特之處:任意時間點,最多只能有固定數目的活動線程存在,此時如果有新的線程要建立,只能放在另外的隊列中等待,直到當前的線程中某個線程終止直接被移出池子 // -和cacheThreadPool不同,FixedThreadPool沒有IDLE機制(可能也有,但既然文檔沒提,肯定非常長,類似依賴上層的TCP或UDP // IDLE機制之類的),所以FixedThreadPool多數針對一些很穩定很固定的正規并發線程,多用于服務器 // -從方法的源代碼看,cache池和fixed 池調用的是同一個底層池,只不過參數不同: // fixed池線程數固定,并且是0秒IDLE(無IDLE) // cache池線程數支持0-Integer.MAX_VALUE(顯然完全沒考慮主機的資源承受能力),60秒IDLE private static ExecutorService fixedService = Executors.newFixedThreadPool(6); // -緩存型池子,先查看池中有沒有以前建立的線程,如果有,就reuse.如果沒有,就建一個新的線程加入池中 // -緩存型池子通常用于執行一些生存期很短的異步型任務 // 因此在一些面向連接的daemon型SERVER中用得不多。 // -能reuse的線程,必須是timeout IDLE內的池中線程,缺省timeout是60s,超過這個IDLE時長,線程實例將被終止及移出池。 // 注意,放入CachedThreadPool的線程不必擔心其結束,超過TIMEOUT不活動,其會自動被終止。 private static ExecutorService cacheService = Executors.newCachedThreadPool(); // -單例線程,任意時間池中只能有一個線程 // -用的是和cache池和fixed池相同的底層池,但線程數目是1-1,0秒IDLE(無IDLE) private static ExecutorService singleService = Executors.newSingleThreadExecutor(); // -調度型線程池 // -這個池子里的線程可以按schedule依次delay執行,或周期執行 private static ExecutorService scheduledService = Executors.newScheduledThreadPool(10); public static void main(String[] args) { DateFormat format = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"); List<Integer> customerList = new ArrayList<Integer>(); System.out.println(format.format(new Date())); testFixedThreadPool(fixedService, customerList); System.out.println("--------------------------"); testFixedThreadPool(fixedService, customerList); fixedService.shutdown(); System.out.println(fixedService.isShutdown()); System.out.println("----------------------------------------------------"); testCacheThreadPool(cacheService, customerList); System.out.println("----------------------------------------------------"); testCacheThreadPool(cacheService, customerList); cacheService.shutdownNow(); System.out.println("----------------------------------------------------"); testSingleServiceThreadPool(singleService, customerList); testSingleServiceThreadPool(singleService, customerList); singleService.shutdown(); System.out.println("----------------------------------------------------"); testScheduledServiceThreadPool(scheduledService, customerList); testScheduledServiceThreadPool(scheduledService, customerList); scheduledService.shutdown(); } public static void testScheduledServiceThreadPool(ExecutorService service, List<Integer> customerList) { List<Callable<Integer>> listCallable = new ArrayList<Callable<Integer>>(); for (int i = 0; i < 10; i++) { Callable<Integer> callable = new Callable<Integer>() { @Override public Integer call() throws Exception { return new Random().nextInt(10); } }; listCallable.add(callable); } try { List<Future<Integer>> listFuture = service.invokeAll(listCallable); for (Future<Integer> future : listFuture) { Integer id = future.get(); customerList.add(id); } } catch (Exception e) { e.printStackTrace(); } System.out.println(customerList.toString()); } public static void testSingleServiceThreadPool(ExecutorService service, List<Integer> customerList) { List<Callable<List<Integer>>> listCallable = new ArrayList<Callable<List<Integer>>>(); for (int i = 0; i < 10; i++) { Callable<List<Integer>> callable = new Callable<List<Integer>>() { @Override public List<Integer> call() throws Exception { List<Integer> list = getList(new Random().nextInt(10)); boolean isStop = false; while (list.size() > 0 && !isStop) { System.out.println(Thread.currentThread().getId() + " -- sleep:1000"); isStop = true; } return list; } }; listCallable.add(callable); } try { List<Future<List<Integer>>> listFuture = service.invokeAll(listCallable); for (Future<List<Integer>> future : listFuture) { List<Integer> list = future.get(); customerList.addAll(list); } } catch (Exception e) { e.printStackTrace(); } System.out.println(customerList.toString()); } public static void testCacheThreadPool(ExecutorService service, List<Integer> customerList) { List<Callable<List<Integer>>> listCallable = new ArrayList<Callable<List<Integer>>>(); for (int i = 0; i < 10; i++) { Callable<List<Integer>> callable = new Callable<List<Integer>>() { @Override public List<Integer> call() throws Exception { List<Integer> list = getList(new Random().nextInt(10)); boolean isStop = false; while (list.size() > 0 && !isStop) { System.out.println(Thread.currentThread().getId() + " -- sleep:1000"); isStop = true; } return list; } }; listCallable.add(callable); } try { List<Future<List<Integer>>> listFuture = service.invokeAll(listCallable); for (Future<List<Integer>> future : listFuture) { List<Integer> list = future.get(); customerList.addAll(list); } } catch (Exception e) { e.printStackTrace(); } System.out.println(customerList.toString()); } public static void testFixedThreadPool(ExecutorService service, List<Integer> customerList) { List<Callable<List<Integer>>> listCallable = new ArrayList<Callable<List<Integer>>>(); for (int i = 0; i < 10; i++) { Callable<List<Integer>> callable = new Callable<List<Integer>>() { @Override public List<Integer> call() throws Exception { List<Integer> list = getList(new Random().nextInt(10)); boolean isStop = false; while (list.size() > 0 && !isStop) { System.out.println(Thread.currentThread().getId() + " -- sleep:1000"); isStop = true; } return list; } }; listCallable.add(callable); } try { List<Future<List<Integer>>> listFuture = service.invokeAll(listCallable); for (Future<List<Integer>> future : listFuture) { List<Integer> list = future.get(); customerList.addAll(list); } } catch (Exception e) { e.printStackTrace(); } System.out.println(customerList.toString()); } public static List<Integer> getList(int x) { List<Integer> list = new ArrayList<Integer>(); list.add(x); list.add(x * x); return list; }}使用:LinkedBlockingQueue實現線程池講解
//例如:corePoolSize=3,maximumPoolSize=6,LinkedBlockingQueue(10)//RejectedExecutionHandler默認處理方式是:ThreadPoolExecutor.AbortPolicy//ThreadPoolExecutor executorService = new ThreadPoolExecutor(corePoolSize, maximumPoolSize, 1L, TimeUnit.SECONDS, new LinkedBlockingQueue<Runnable>(10));//1.如果線程池中(也就是調用executorService.execute)運行的線程未達到LinkedBlockingQueue.init(10)的話,當前執行的線程數是:corePoolSize(3) //2.如果超過了LinkedBlockingQueue.init(10)并且超過的數>=init(10)+corePoolSize(3)的話,并且小于init(10)+maximumPoolSize. 當前啟動的線程數是:(當前線程數-init(10))//3.如果調用的線程數超過了init(10)+maximumPoolSize 則根據RejectedExecutionHandler的規則處理。
關于:RejectedExecutionHandler幾種默認實現講解
//默認使用:ThreadPoolExecutor.AbortPolicy,處理程序遭到拒絕將拋出運行時RejectedExecutionException。 RejectedExecutionHandler policy=new ThreadPoolExecutor.AbortPolicy();// //在 ThreadPoolExecutor.CallerRunsPolicy 中,線程調用運行該任務的execute本身。此策略提供簡單的反饋控制機制,能夠減緩新任務的提交速度。// policy=new ThreadPoolExecutor.CallerRunsPolicy();// //在 ThreadPoolExecutor.DiscardPolicy 中,不能執行的任務將被刪除。// policy=new ThreadPoolExecutor.DiscardPolicy();// //在 ThreadPoolExecutor.DiscardOldestPolicy 中,如果執行程序尚未關閉,則位于工作隊列頭部的任務將被刪除,然后重試執行程序(如果再次失敗,則重復此過程)。// policy=new ThreadPoolExecutor.DiscardOldestPolicy();
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