如何基于ThreadPoolExecutor创建线程池并操作

日常工作中很多地方很多效率极低的操作，往往可以改串行为并行，执行效率往往提高数倍，废话不多说先上代码

1、用到的guava坐标

<dependency>
      <groupId>com.google.guava</groupId>
      <artifactId>guava</artifactId>
      <version>18.0</version>
    </dependency>

2、创建一个枚举保证线程池是单例

package com.hao.service;
 
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import com.google.common.util.concurrent.ThreadFactoryBuilder;
 
public enum ExecutorManager {
 
  INSTANCE;
 
  private ExecutorManager() {
 
  }
 
  private static int AVAILABLEPROCESSORS = Runtime.getRuntime().availableProcessors();
 
  public static final ThreadPoolExecutor threadPoolExecutor =
    new ThreadPoolExecutor(AVAILABLEPROCESSORS * 50, AVAILABLEPROCESSORS * 80, 0L, TimeUnit.MILLISECONDS,
      new LinkedBlockingQueue<Runnable>(AVAILABLEPROCESSORS * 2000),
      new ThreadFactoryBuilder().setNameFormat("ExecutorManager-pool-Thread-%d").build());
}

3、创建一个方法类

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package com.hao.service;
 
import java.util.ArrayList;
import java.util.Arrays;
import java.util.LinkedList;
import java.util.List;
import java.util.concurrent.Callable;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import javax.annotation.PostConstruct;
 
import org.springframework.stereotype.Service;
 
import com.google.common.base.Preconditions;
 
@Service
public class ExecutorContext {
 
  public ExecutorService executorService;
  private int DEFAULT_WAIT_SECONDS = 2;
 
  @PostConstruct
  public void init() {
    executorService = ExecutorManager.threadPoolExecutor;
  }
 
  public <T> List<T> waitAllFutures(List<Callable<T>> calls, int milliseconds) throws Exception {
    Preconditions.checkArgument(null != calls && !calls.isEmpty(), "callable empty.");
    LatchedCallables<T> latchAndCallables = wrapCallables(calls);
    List<Future<T>> futurres = new LinkedList<>();
    for (CountdownedCallable<T> callable : latchAndCallables.wrappedCallables) {
      if (null != callable) {
        futurres.add(executorService.submit(callable));
      }
    }
    List<T> rets = new ArrayList<>();
    if (latchAndCallables.latch.await(milliseconds, TimeUnit.MILLISECONDS)) {
      for (CountdownedCallable<T> call : latchAndCallables.wrappedCallables) {
        rets.add(call.getResult());
      }
    } else {
      for (Future<T> future : futurres) {
        if (!future.isDone()) {
          future.cancel(true);
        }
      }
    }
    return rets;
  }
 
  public <T> List<T> waitAllCallables(List<Callable<T>> calls, int seconds) throws Exception {
    Preconditions.checkArgument(null != calls && !calls.isEmpty(), "callable empty.");
    LatchedCallables<T> latchAndCallables = wrapCallables(calls);
    for (CountdownedCallable<T> callable : latchAndCallables.wrappedCallables) {
      executorService.submit(callable);
    }
    List<T> rets = new ArrayList<>();
    if (latchAndCallables.latch.await(seconds, TimeUnit.SECONDS)) {
      for (CountdownedCallable<T> call : latchAndCallables.wrappedCallables) {
        rets.add(call.getResult());
      }
    }
    return rets;
  }
 
  public <T> List<T> waitAllCallables(@SuppressWarnings("unchecked") Callable<T>... calls) throws Exception {
    Preconditions.checkNotNull(calls, "callable empty.");
    return waitAllCallables(Arrays.asList(calls), DEFAULT_WAIT_SECONDS);
  }
 
  private static <T> LatchedCallables<T> wrapCallables(List<Callable<T>> callables) {
    CountDownLatch latch = new CountDownLatch(callables.size());
    List<CountdownedCallable<T>> wrapped = new ArrayList<>(callables.size());
    for (Callable<T> callable : callables) {
      wrapped.add(new CountdownedCallable<>(callable, latch));
    }
 
    LatchedCallables<T> returnVal = new LatchedCallables<>();
    returnVal.latch = latch;
    returnVal.wrappedCallables = wrapped;
    return returnVal;
  }
 
  public static class LatchedCallables<T> {
    public CountDownLatch latch;
    public List<CountdownedCallable<T>> wrappedCallables;
  }
 
  public static class CountdownedCallable<T> implements Callable<T> {
    private final Callable<T> wrapped;
    private final CountDownLatch latch;
    private T result;
 
    public CountdownedCallable(Callable<T> wrapped, CountDownLatch latch) {
      this.wrapped = wrapped;
      this.latch = latch;
    }
 
    @Override
    public T call() throws Exception {
      try {
        result = wrapped.call();
        return result;
      } finally {
        latch.countDown();
      }
    }
 
    public T getResult() {
      return result;
    }
  }
 
}

4、创建一个测试类

package com.hao;
 
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.Callable;
import org.junit.Test;
import org.springframework.beans.factory.annotation.Autowired;
 
import com.hao.bean.Employee;
import com.hao.service.EmployeeService;
import com.hao.service.ExecutorContext;
 
public class ExecutorTest extends BaseTest {
 
  @Autowired
  ExecutorContext executorContext;
   
  @Autowired
  EmployeeService employeeService;
 
  @Test
  public void test01() {
    long t0 = System.currentTimeMillis();
    List<Employee> employees = new ArrayList<Employee>();
    try {
      List<Callable<Integer>> calls = new ArrayList<Callable<Integer>>();
      Callable<Integer> able1 = new Callable<Integer>() {
        @Override
        public Integer call() throws Exception {
          Thread.sleep(5000);
          Employee employee = employeeService.getById(1L);
          employees.add(employee);
          return 1;
        }
 
      };
      calls.add(able1);
      Callable<Integer> able2 = new Callable<Integer>() {
        @Override
        public Integer call() throws Exception {
          Thread.sleep(5000);
          Employee employee = employeeService.getById(2L);
          employees.add(employee);
          return 2;
        }
 
      };
      calls.add(able2);
      Callable<Integer> able3 = new Callable<Integer>() {
        @Override
        public Integer call() throws Exception {
          Thread.sleep(5000);
          Employee employee = employeeService.getById(3L);
          employees.add(employee);
          return 3;
        }
 
      };
      calls.add(able3);
 
      executorContext.waitAllCallables(calls, 5000);
    } catch (Exception e) {
      e.printStackTrace();
    }
    for (Employee employee : employees) {
      System.out.println(employee);
    }
    System.out.println(System.currentTimeMillis() - t0);
  }
 
}

5、执行结果如下

次工具类的好处在于能够像使用普通 service一样使用线程池完成并行操作，当然不要忘记将 ExecutorContext 置于能被sping扫描到的地方，

否则不能直接使用@Autowired 依赖注入

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