多线程并发快速处理数据
方案一:
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; public class LargSumWithCallable { static int threadCounts =10;//使用的线程数 static long sum=0; public static void main(String []args) throws InterruptedException, ExecutionException{ ExecutorService exec=Executors.newFixedThreadPool(threadCounts); List<Callable<Long>> callList=new ArrayList<Callable<Long>>(); List<Integer> list = new ArrayList<Integer>(); for (int j = 0; j <= 1000000;j++) { list.add(j); } int len=list.size()/threadCounts;//平均分割List //List中的数量没有线程数多(很少存在) if(len==0){ threadCounts=list.size();//采用一个线程处理List中的一个元素 len=list.size()/threadCounts;//重新平均分割List } for(int i=0;i<threadCounts;i++){ final List<Integer> subList; if(i==threadCounts-1){ subList=list.subList(i*len,list.size()); }else{ subList=list.subList(i*len, len*(i+1)>list.size()?list.size():len*(i+1)); } //采用匿名内部类实现 callList.add(new Callable<Long>(){ public Long call() throws Exception { long subSum=0L; for(Integer i:subList){ subSum+=i; } System.out.println("分配给线程:"+Thread.currentThread().getName()+"那一部分List的整数和为:\tSubSum:"+subSum); return subSum; } }); } List<Future<Long>> futureList=exec.invokeAll(callList); for(Future<Long> future:futureList){ sum+=future.get(); } exec.shutdown(); System.out.println(sum); } }
方案二:
import java.util.ArrayList; import java.util.List; import java.util.concurrent.BrokenBarrierException; import java.util.concurrent.CyclicBarrier; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; public class LargeListIntegerSum { private long sum;//存放整数的和 private CyclicBarrier barrier;//障栅集合点(同步器) private List<Integer> list;//整数集合List private int threadCounts;//使用的线程数 public LargeListIntegerSum(List<Integer> list,int threadCounts) { this.list=list; this.threadCounts=threadCounts; } /** * 获取List中所有整数的和 * @return */ public long getIntegerSum(){ ExecutorService exec=Executors.newFixedThreadPool(threadCounts); int len=list.size()/threadCounts;//平均分割List //List中的数量没有线程数多(很少存在) if(len==0){ threadCounts=list.size();//采用一个线程处理List中的一个元素 len=list.size()/threadCounts;//重新平均分割List } barrier=new CyclicBarrier(threadCounts+1); for(int i=0;i<threadCounts;i++){ //创建线程任务 if(i==threadCounts-1){//最后一个线程承担剩下的所有元素的计算 exec.execute(new SubIntegerSumTask(list.subList(i*len,list.size()))); }else{ exec.execute(new SubIntegerSumTask(list.subList(i*len, len*(i+1)>list.size()?list.size():len*(i+1)))); } } try { barrier.await();//关键,使该线程在障栅处等待,直到所有的线程都到达障栅处 } catch (InterruptedException e) { System.out.println(Thread.currentThread().getName()+":Interrupted"); } catch (BrokenBarrierException e) { System.out.println(Thread.currentThread().getName()+":BrokenBarrier"); } exec.shutdown(); return sum; } /** * 分割计算List整数和的线程任务 * */ public class SubIntegerSumTask implements Runnable{ private List<Integer> subList; public SubIntegerSumTask(List<Integer> subList) { this.subList=subList; } public void run() { long subSum=0L; for (Integer i : subList) { subSum += i; } synchronized(LargeListIntegerSum.this){//在LargeListIntegerSum对象上同步 sum+=subSum; } try { barrier.await();//关键,使该线程在障栅处等待,直到所有的线程都到达障栅处 } catch (InterruptedException e) { System.out.println(Thread.currentThread().getName()+":Interrupted"); } catch (BrokenBarrierException e) { System.out.println(Thread.currentThread().getName()+":BrokenBarrier"); } System.out.println("分配给线程:"+Thread.currentThread().getName()+"那一部分List的整数和为:\tSubSum:"+subSum); } } public static void main(String[] args) { List<Integer> list = new ArrayList<Integer>(); int threadCounts = 10;//采用的线程数 for (int i = 1; i <= 1000000; i++) { list.add(i); } long start= System.currentTimeMillis(); LargeListIntegerSum countListIntegerSum=new LargeListIntegerSum(list,threadCounts); long sum=countListIntegerSum.getIntegerSum(); System.out.println("List中所有整数的和为:"+sum); long end= System.currentTimeMillis(); System.out.println(end-start); } }
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