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Java線程池的幾種完成辦法和差別引見
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,但不克不及隨時建新的線程 // -其奇特的地方:隨意率性時光點,最多只能有固定命目標運動線程存在,此時假如有新的線程要樹立,只能放在別的的隊列中期待,直到以後的線程中某個線程終止直接被移出池子 // -和cacheThreadPool分歧,FixedThreadPool沒有IDLE機制(能夠也有,但既然文檔沒提,確定異常長,相似依附下層的TCP或UDP // IDLE機制之類的),所以FixedThreadPool多半針對一些很穩固很固定的正軌並發線程,多用於辦事器 // -從辦法的源代碼看,cache池和fixed 池挪用的是統一個底層池,只不外參數分歧: // fixed池線程數固定,而且是0秒IDLE(無IDLE) // cache池線程數支撐0-Integer.MAX_VALUE(明顯完整沒斟酌主機的資本蒙受才能),60秒IDLE private static ExecutorService fixedService = Executors.newFixedThreadPool(6); // -緩存型池子,先檢查池中有無之前樹立的線程,假如有,就reuse.假如沒有,就建一個新的線程參加池中 // -緩存型池子平日用於履行一些生計期很短的異步型義務 // 是以在一些面向銜接的daemon型SERVER頂用得不多。 // -能reuse的線程,必需是timeout IDLE內的池中線程,缺省timeout是60s,跨越這個IDLE時長,線程實例將被終止及移出池。 // 留意,放入CachedThreadPool的線程不用擔憂其停止,跨越TIMEOUT不運動,其會主動被終止。 private static ExecutorService cacheService = Executors.newCachedThreadPool(); // -單例線程,隨意率性時光池中只能有一個線程 // -用的是和cache池和fixed池雷同的底層池,但線程數量是1-1,0秒IDLE(無IDLE) private static ExecutorService singleService = Executors.newSingleThreadExecutor(); // -調劑型線程池 // -這個池子裡的線程可以按schedule順次delay履行,或周期履行 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; } }
應用:LinkedBlockingQueue完成線程池講授
//例如:corePoolSize=3,maximumPoolSize=6,LinkedBlockingQueue(10) //RejectedExecutionHandler默許處置方法是:ThreadPoolExecutor.AbortPolicy //ThreadPoolExecutor executorService = new ThreadPoolExecutor(corePoolSize, maximumPoolSize, 1L, TimeUnit.SECONDS, new LinkedBlockingQueue<Runnable>(10)); //1.假如線程池中(也就是挪用executorService.execute)運轉的線程未到達LinkedBlockingQueue.init(10)的話,以後履行的線程數是:corePoolSize(3) //2.假如跨越了LinkedBlockingQueue.init(10)而且跨越的數>=init(10)+corePoolSize(3)的話,而且小於init(10)+maximumPoolSize. 以後啟動的線程數是:(以後線程數-init(10)) //3.假如挪用的線程數跨越了init(10)+maximumPoolSize 則依據RejectedExecutionHandler的規矩處置。
關於:RejectedExecutionHandler幾種默許完成講授
//默許應用:ThreadPoolExecutor.AbortPolicy,處置法式遭到謝絕將拋出運轉時RejectedExecutionException。 RejectedExecutionHandler policy=new ThreadPoolExecutor.AbortPolicy(); // //在 ThreadPoolExecutor.CallerRunsPolicy 中,線程挪用運轉該義務的execute自己。此戰略供給簡略的反應掌握機制,可以或許減緩新義務的提交速度。 // policy=new ThreadPoolExecutor.CallerRunsPolicy(); // //在 ThreadPoolExecutor.DiscardPolicy 中,不克不及履行的義務將被刪除。 // policy=new ThreadPoolExecutor.DiscardPolicy(); // //在 ThreadPoolExecutor.DiscardOldestPolicy 中,假如履行法式還沒有封閉,則位於任務隊列頭部的義務將被刪除,然後重試履行法式(假如再次掉敗,則反復此進程)。 // policy=new ThreadPoolExecutor.DiscardOldestPolicy();
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