Java 并发编程 Executor

Executor框架是指java 5中引入的一系列并发库中与executor相关的一些功能类,其中包括线程池,Executor,Executors,ExecutorService,CompletionService,Future,Callable等。他们的关系为:

Java 并发编程 Executor

并发编程的一种编程方式是把任务拆分为一些列的小任务,即Runnable,然后在提交给一个Executor执行,Executor.execute(Runnalbe) 。Executor在执行时使用内部的线程池完成操作。

一、创建线程池

Executors类,提供了一系列工厂方法用于创先线程池,返回的线程池都实现了ExecutorService接口。

public static ExecutorService newFixedThreadPool(int nThreads)

创建固定数目线程的线程池。

public static ExecutorService newCachedThreadPool()

创建一个可缓存的线程池,调用execute 将重用以前构造的线程(如果线程可用)。如果现有线程没有可用的,则创建一个新线程并添加到池中。终止并从缓存中移除那些已有 60 秒钟未被使用的线程。

public static ExecutorService newSingleThreadExecutor()

创建一个单线程化的Executor。

public static ScheduledExecutorService newScheduledThreadPool(int corePoolSize)

创建一个支持定时及周期性的任务执行的线程池,多数情况下可用来替代Timer类。

Executor executor = Executors.newFixedThreadPool(10);
Runnable task = new Runnable() {
@Override
public void run() {
System.out.println("task over");
}
};
executor.execute(task); executor = Executors.newScheduledThreadPool(10);
ScheduledExecutorService scheduler = (ScheduledExecutorService) executor;
scheduler.scheduleAtFixedRate(task, 10, 10, TimeUnit.SECONDS);

二、ExecutorService与生命周期

ExecutorService扩展了Executor并添加了一些生命周期管理的方法。一个Executor的生命周期有三种状态,运行 ,关闭 ,终止。Executor创建时处于运行状态。当调用ExecutorService.shutdown()后,处于关闭状态,isShutdown()方法返回true。这时,不应该再想Executor中添加任务,所有已添加的任务执行完毕后,Executor处于终止状态,isTerminated()返回true。

如果Executor处于关闭状态,往Executor提交任务会抛出unchecked exception RejectedExecutionException。

ExecutorService executorService = (ExecutorService) executor;
while (!executorService.isShutdown()) {
try {
executorService.execute(task);
} catch (RejectedExecutionException ignored) { }
}
executorService.shutdown();

三、使用Callable,Future返回结果

Future<V>代表一个异步执行的操作,通过get()方法可以获得操作的结果,如果异步操作还没有完成,则,get()会使当前线程阻塞。FutureTask<V>实现了Future<V>和Runable<V>。Callable代表一个有返回值得操作。

        Callable<Integer> func = new Callable<Integer>(){
public Integer call() throws Exception {
System.out.println("inside callable");
Thread.sleep(1000);
return new Integer(8);
}
};
FutureTask<Integer> futureTask = new FutureTask<Integer>(func);
Thread newThread = new Thread(futureTask);
newThread.start(); try {
System.out.println("blocking here");
Integer result = futureTask.get();
System.out.println(result);
} catch (InterruptedException ignored) {
} catch (ExecutionException ignored) {
}

ExecutoreService提供了submit()方法,传递一个Callable,或Runnable,返回Future。如果Executor后台线程池还没有完成Callable的计算,这调用返回Future对象的get()方法,会阻塞直到计算完成。

例子:并行计算数组的和。

package executorservice;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.FutureTask; public class ConcurrentCalculator { private ExecutorService exec;
private int cpuCoreNumber;
private List<Future<Long>> tasks = new ArrayList<Future<Long>>(); // 内部类
class SumCalculator implements Callable<Long> {
private int[] numbers;
private int start;
private int end; public SumCalculator(final int[] numbers, int start, int end) {
this.numbers = numbers;
this.start = start;
this.end = end;
} public Long call() throws Exception {
Long sum = 0l;
for (int i = start; i < end; i++) {
sum += numbers[i];
}
return sum;
}
} public ConcurrentCalculator() {
cpuCoreNumber = Runtime.getRuntime().availableProcessors();
exec = Executors.newFixedThreadPool(cpuCoreNumber);
} public Long sum(final int[] numbers) {
// 根据CPU核心个数拆分任务,创建FutureTask并提交到Executor
for (int i = 0; i < cpuCoreNumber; i++) {
int increment = numbers.length / cpuCoreNumber + 1;
int start = increment * i;
int end = increment * i + increment;
if (end > numbers.length)
end = numbers.length;
SumCalculator subCalc = new SumCalculator(numbers, start, end);
FutureTask<Long> task = new FutureTask<Long>(subCalc);
tasks.add(task);
if (!exec.isShutdown()) {
exec.submit(task);
}
}
return getResult();
} /**
* 迭代每个只任务,获得部分和,相加返回
*
* @return
*/
public Long getResult() {
Long result = 0l;
for (Future<Long> task : tasks) {
try {
// 如果计算未完成则阻塞
Long subSum = task.get();
result += subSum;
} catch (InterruptedException e) {
e.printStackTrace();
} catch (ExecutionException e) {
e.printStackTrace();
}
}
return result;
} public void close() {
exec.shutdown();
}
}

Main

int[] numbers = new int[] { 1, 2, 3, 4, 5, 6, 7, 8, 10, 11 };
ConcurrentCalculator calc = new ConcurrentCalculator();
Long sum = calc.sum(numbers);
System.out.println(sum);
calc.close();

四、CompletionService

在刚在的例子中,getResult()方法的实现过程中,迭代了FutureTask的数组,如果任务还没有完成则当前线程会阻塞,如果我们希望任意字任务完成后就把其结果加到result中,而不用依次等待每个任务完成,可以使CompletionService。生产者submit()执行的任务。使用者take()已完成的任务,并按照完成这些任务的顺序处理它们的结果 。也就是调用CompletionService的take方法是,会返回按完成顺序放回任务的结果,CompletionService内部维护了一个阻塞队列BlockingQueue,如果没有任务完成,take()方法也会阻塞。修改刚才的例子使用CompletionService:

public class ConcurrentCalculator2 {

    private ExecutorService exec;
private CompletionService<Long> completionService; private int cpuCoreNumber; // 内部类
class SumCalculator implements Callable<Long> {
......
} public ConcurrentCalculator2() {
cpuCoreNumber = Runtime.getRuntime().availableProcessors();
exec = Executors.newFixedThreadPool(cpuCoreNumber);
completionService = new ExecutorCompletionService<Long>(exec); } public Long sum(final int[] numbers) {
// 根据CPU核心个数拆分任务,创建FutureTask并提交到Executor
for (int i = 0; i < cpuCoreNumber; i++) {
int increment = numbers.length / cpuCoreNumber + 1;
int start = increment * i;
int end = increment * i + increment;
if (end > numbers.length)
end = numbers.length;
SumCalculator subCalc = new SumCalculator(numbers, start, end);
if (!exec.isShutdown()) {
completionService.submit(subCalc); } }
return getResult();
} /**
* 迭代每个只任务,获得部分和,相加返回
*
* @return
*/
public Long getResult() {
Long result = 0l;
for (int i = 0; i < cpuCoreNumber; i++) {
try {
Long subSum = completionService.take().get();
result += subSum;
} catch (InterruptedException e) {
e.printStackTrace();
} catch (ExecutionException e) {
e.printStackTrace();
}
}
return result;
} public void close() {
exec.shutdown();
}
}
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