Tiny并行计算框架之复杂演示样例

最新推荐文章于 2025-09-11 22:47:27 发布

转载最新推荐文章于 2025-09-11 22:47:27 发布 · 63 阅读

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原文链接：http://www.cnblogs.com/zfyouxi/p/5103769.html

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#网络

本文探讨了如何利用Tiny并行计算框架在汽车制造过程中实现任务分解与并行执行，通过构建不同类型的工人和任务分解器，使得原本串行的任务能够在多个线程或进程中并行执行，显著提高了生产效率。文中详细展示了如何构建工人角色、任务分解器以及进行任务分配，并通过日志记录展示了并行执行的过程。最后总结了Tiny框架在解决复杂并行计算问题上的优势。

问题来源 很感谢@doctorwho的问题：
假如职业介绍所来了一批生产汽车的工作，如果生产一辆汽车任务是这种：搭好底盘、拧4个轮胎、安装发动机、安装4个座椅、再装4个车门、最后安装顶棚。

之间有的任务是能够并行计算的（比方拧4个轮胎，安装发动机和安装座椅），有的任务有前置任务（比方先装好座椅。才干装车门和顶棚）。让两组包工头组织两种类型的工作：将工人分成两种类型,就可以并行计算的放在同一组内，由职业介绍所来控制A组包工头做完的任务交给B组包工头。中间环节的半成品保存到Warehouse中。是这样使用TINY框架来生产汽车么？

接下来。我就用Tiny并行计算框架来展示一下这个演示样例，在编写演示样例的时候，发现了一个BUG。这也充分体现了开源的精神与价值。再次感谢@doctorwho。
问题分析
doctorwho的问题还是比較复杂的。可是实际上道理是一样的。因此我把问题简化成以下的过程
第一步：构建底盘
第二步：并行进行安装引擎。座位和轮胎

第三步：并行进行安装门及车顶
因为我和doctorwho都不是造车行家，因此就不用纠结这么造是不是合理了，如果这么做就是合理的。

代码实现
按我前面说的过程。工人是必需要有的，因此我们首先构建工人：
第一步的底盘构建工人

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public class StepFirstWorker extends AbstractWorker {
public StepFirstWorker() throws RemoteException {
      super("first");
}

@Override
protected Warehouse doWork(Work work) throws RemoteException {
      System.out.println(String.format("%s 构建底盘完毕.", work.getInputWarehouse().get("carType")));
      Warehouse outputWarehouse = work.getInputWarehouse();
      outputWarehouse.put("baseInfo", "something about baseInfo");
      return outputWarehouse;
}
}

因为第二步工人有好几个类型。因此再搞个第二步抽象工人：

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public abstract class StepThirdWorker extends AbstractWorker {
public StepThirdWorker() throws RemoteException {
      super("third");
}

protected boolean acceptMyWork(Work work) {
      String workClass = work.getInputWarehouse().get("class");
      if (workClass != null) {
         return true;
      }
      return false;
}
protected Warehouse doMyWork(Work work) throws RemoteException {
      System.out.println(String.format("Base:%s ", work.getInputWarehouse().get("baseInfo")));
      System.out.println(String.format("%s is Ok", work.getInputWarehouse().get("class")));
      return work.getInputWarehouse();
}
}

接下来构建第二步的引擎工人：

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public class StepSecondEngineWorker extends StepSecondWorker {

public static final String ENGINE = "engine";

public StepSecondEngineWorker() throws RemoteException {
super();
}

public boolean acceptWork(Work work) {
return acceptMyWork(work);
}

protected Warehouse doWork(Work work) throws RemoteException {
return super.doMyWork(work);
}
}

第二步的座位工人：

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public class StepSecondSeatWorker extends StepSecondWorker {

public static final String SEAT = "seat";

public StepSecondSeatWorker() throws RemoteException {
      super();
}
public boolean acceptWork(Work work) {
   return acceptMyWork(work);
}
protected Warehouse doWork(Work work) throws RemoteException {
      return super.doMyWork(work);
}
}

<div>

</div>

第二步的轮胎工人：

?

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public class StepSecondTyreWorker extends StepSecondWorker {
public static final String TYRE = "tyre";

public StepSecondTyreWorker() throws RemoteException {
super();
}

public boolean acceptWork(Work work) {
return acceptMyWork(work);
}

protected Warehouse doWork(Work work) throws RemoteException {
return super.doMyWork(work);
}
}

同理，第三步也是大同小异的。

第三步的抽象工人类：

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第三步的车门工人：

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public class StepThirdDoorWorker extends StepThirdWorker {

public static final String DOOR = "door";

public StepThirdDoorWorker() throws RemoteException {
      super();
}
public boolean acceptWork(Work work) {
      return acceptMyWork(work);
}
@Override
protected Warehouse doWork(Work work) throws RemoteException {
      return super.doMyWork(work);
}
}

第三步的车顶工人：

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public class StepThirdRoofWorker extends StepThirdWorker {

public static final String ROOF = "roof";

public StepThirdRoofWorker() throws RemoteException {
      super();
}
public boolean acceptWork(Work work) {
      return acceptMyWork(work);
}
protected Warehouse doWork(Work work) throws RemoteException {
      return super.doMyWork(work);
}
}

以上就把工人都构建好了，我们前面也说过。假设要进行任务分解，是必需要构建任务分解合并器的，这里简单起见。仅仅实现任务分解了。

第二部的任务分解：

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public class SecondWorkSplitter implements WorkSplitter {
public List<Warehouse> split(Work work, List<Worker> workers) throws RemoteException {
      List<Warehouse> list = new ArrayList<Warehouse>();
      list.add(getWareHouse(work.getInputWarehouse(), "engine"));
      list.add(getWareHouse(work.getInputWarehouse(), "seat"));
      list.add(getWareHouse(work.getInputWarehouse(), "seat"));
      list.add(getWareHouse(work.getInputWarehouse(), "seat"));
      list.add(getWareHouse(work.getInputWarehouse(), "seat"));
      list.add(getWareHouse(work.getInputWarehouse(), "tyre"));
      list.add(getWareHouse(work.getInputWarehouse(), "tyre"));
      list.add(getWareHouse(work.getInputWarehouse(), "tyre"));
      list.add(getWareHouse(work.getInputWarehouse(), "tyre"));
      return list;
}

private Warehouse getWareHouse(Warehouse inputWarehouse, String stepClass) {
      Warehouse warehouse = new WarehouseDefault();
      warehouse.put("class", stepClass);
      warehouse.putSubWarehouse(inputWarehouse);
      return warehouse;
}
}

从上面能够看到，构建了一个引擎的仓库。4个座位仓库，4个轮胎仓库。呵呵，既然能并行。为啥不让他做得更快些？
接下来是第三步的任务分解器：

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public class ThirdWorkSplitter implements WorkSplitter {
public List<Warehouse> split(Work work, List<Worker> workers) throws RemoteException {
      List<Warehouse> list = new ArrayList<Warehouse>();
      list.add(getWareHouse(work.getInputWarehouse(), "door"));
      list.add(getWareHouse(work.getInputWarehouse(), "door"));
      list.add(getWareHouse(work.getInputWarehouse(), "door"));
      list.add(getWareHouse(work.getInputWarehouse(), "door"));
      list.add(getWareHouse(work.getInputWarehouse(), "roof"));
      return list;
}

private Warehouse getWareHouse(Warehouse inputWarehouse, String stepClass) {
      Warehouse warehouse = new WarehouseDefault();
      warehouse.put("class", stepClass);
      warehouse.putSubWarehouse(inputWarehouse);
      return warehouse;
}
}

从上面能够看到，第三部构建了4个门仓库一个车顶仓库，相同的，能够让4个工人同一时候装门。
上面就把全部的准备工作都做好了，接下来就是測试方法了：

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public class Test {
public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
      JobCenter jobCenter = new JobCenterLocal();

      for (int i = 0; i < 5; i++) {
         jobCenter.registerWorker(new StepFirstWorker());
      }
      for (int i = 0; i < 5; i++) {
         jobCenter.registerWorker(new StepSecondTyreWorker());
      }
      for (int i = 0; i < 5; i++) {
         jobCenter.registerWorker(new StepSecondSeatWorker());
      }
      for (int i = 0; i < 5; i++) {
         jobCenter.registerWorker(new StepSecondEngineWorker());
      }
      for (int i = 0; i < 5; i++) {
         jobCenter.registerWorker(new StepThirdDoorWorker());
      }
      for (int i = 0; i < 5; i++) {
         jobCenter.registerWorker(new StepThirdRoofWorker());
      }

      jobCenter.registerForeman(new ForemanSelectOneWorker("first"));
   <span></span> <span></span>jobCenter.registerForeman(new ForemanSelectAllWorker("second",
new SecondWorkSplitter()));
jobCenter.registerForeman(new ForemanSelectAllWorker("third",new ThirdWorkSplitter()));

Warehouse inputWarehouse = new WarehouseDefault();
inputWarehouse.put("class", "car");
inputWarehouse.put("carType", "普桑");
WorkDefault work = new WorkDefault("first", inputWarehouse);
work.setForemanType("first");
WorkDefault work2 = new WorkDefault("second");
work2.setForemanType("second");
WorkDefault work3 = new WorkDefault("third");
work3.setForemanType("third");
work.setNextWork(work2).setNextWork(work3);

Warehouse warehouse = jobCenter.doWork(work);

jobCenter.stop();

}
}

呵呵，工人各加了5个。然后注冊了三个工头，第一步的工头是随便挑一个工人类型的。第二步和第三步是挑全部工人的。同一时候还指定了任务分解器。
接下来就构建了一个工作。造一个高端大气上档次的普桑汽车。然后告诉职业介绍所说给我造就能够了。
以下是造车的过程，我把日志也贴上来了：

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普桑构建底盘完毕.
-234  [RMI TCP Connection(1)-192.168.84.73] INFO - 线程组<id:4af96b81d14a4954a6b649308d444e4c,type:second>执行開始,线程数9...
-234  [id:4af96b81d14a4954a6b649308d444e4c,type:second-a763f156ffd74b5db285198d2498edcf] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-a763f156ffd74b5db285198d2498edcf>执行開始...
-234  [id:4af96b81d14a4954a6b649308d444e4c,type:second-c2d2fb38ef6c4509b3a39b3e7d5c1d61] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-c2d2fb38ef6c4509b3a39b3e7d5c1d61>执行開始...
-234  [id:4af96b81d14a4954a6b649308d444e4c,type:second-d624ea0a6df3409c80df6b97ab3c813b] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-d624ea0a6df3409c80df6b97ab3c813b>执行開始...
-235  [id:4af96b81d14a4954a6b649308d444e4c,type:second-abdb57f0641a4727a9efa744d07cf2d1] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-abdb57f0641a4727a9efa744d07cf2d1>执行開始...
-236  [id:4af96b81d14a4954a6b649308d444e4c,type:second-d6f7074f6c4a4b12bd37ec5f5c11aff8] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-d6f7074f6c4a4b12bd37ec5f5c11aff8>执行開始...
-237  [id:4af96b81d14a4954a6b649308d444e4c,type:second-04db3f945b804500a2bbe2b9aabdce3b] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-04db3f945b804500a2bbe2b9aabdce3b>执行開始...
Base:something about baseInfo
engine is Ok
Base:something about baseInfo
seat is Ok
-245  [id:4af96b81d14a4954a6b649308d444e4c,type:second-a763f156ffd74b5db285198d2498edcf] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-a763f156ffd74b5db285198d2498edcf>执行结束
-246  [id:4af96b81d14a4954a6b649308d444e4c,type:second-f3efba2dc7804c6cbcd5a25f42fdc177] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-f3efba2dc7804c6cbcd5a25f42fdc177>执行開始...
-246  [id:4af96b81d14a4954a6b649308d444e4c,type:second-abdb57f0641a4727a9efa744d07cf2d1] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-abdb57f0641a4727a9efa744d07cf2d1>执行结束
Base:something about baseInfo
seat is Ok
-248  [id:4af96b81d14a4954a6b649308d444e4c,type:second-8c3b9359bcfa4de7b6e0492daab0d73a] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-8c3b9359bcfa4de7b6e0492daab0d73a>执行開始...
Base:something about baseInfo
tyre is Ok
-250  [id:4af96b81d14a4954a6b649308d444e4c,type:second-f3efba2dc7804c6cbcd5a25f42fdc177] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-f3efba2dc7804c6cbcd5a25f42fdc177>执行结束
-250  [id:4af96b81d14a4954a6b649308d444e4c,type:second-c2d2fb38ef6c4509b3a39b3e7d5c1d61] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-c2d2fb38ef6c4509b3a39b3e7d5c1d61>执行结束
Base:something about baseInfo
seat is Ok
-252  [id:4af96b81d14a4954a6b649308d444e4c,type:second-869b573e226046aca8ad30765f1f300c] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-869b573e226046aca8ad30765f1f300c>执行開始...
-253  [id:4af96b81d14a4954a6b649308d444e4c,type:second-8c3b9359bcfa4de7b6e0492daab0d73a] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-8c3b9359bcfa4de7b6e0492daab0d73a>执行结束
Base:something about baseInfo
seat is Ok
Base:something about baseInfo
tyre is Ok
-257  [id:4af96b81d14a4954a6b649308d444e4c,type:second-d624ea0a6df3409c80df6b97ab3c813b] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-d624ea0a6df3409c80df6b97ab3c813b>执行结束
-258  [id:4af96b81d14a4954a6b649308d444e4c,type:second-04db3f945b804500a2bbe2b9aabdce3b] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-04db3f945b804500a2bbe2b9aabdce3b>执行结束
Base:something about baseInfo
tyre is Ok
Base:something about baseInfo
tyre is Ok
-262  [id:4af96b81d14a4954a6b649308d444e4c,type:second-869b573e226046aca8ad30765f1f300c] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-869b573e226046aca8ad30765f1f300c>执行结束
-264  [id:4af96b81d14a4954a6b649308d444e4c,type:second-d6f7074f6c4a4b12bd37ec5f5c11aff8] INFO - 线程<id:4af96b81d14a4954a6b649308d444e4c,type:second-d6f7074f6c4a4b12bd37ec5f5c11aff8>执行结束
-264  [RMI TCP Connection(1)-192.168.84.73] INFO - 线程组<id:4af96b81d14a4954a6b649308d444e4c,type:second>执行结束, 用时:30ms
-333  [RMI TCP Connection(1)-192.168.84.73] INFO - 线程组<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third>执行開始,线程数5...
-334  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-ca58e9b733514c668a224875417c9d26] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-ca58e9b733514c668a224875417c9d26>执行開始...
-334  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-17debef817e34c49996a2c38840f3de2] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-17debef817e34c49996a2c38840f3de2>执行開始...
-334  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-af0e914cce89480987c6184a885770d5] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-af0e914cce89480987c6184a885770d5>执行開始...
-334  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-3f7707cb2a224d3d8844a09271b24a07] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-3f7707cb2a224d3d8844a09271b24a07>执行開始...
Base:something about baseInfo
door is Ok
Base:something about baseInfo
door is Ok
Base:something about baseInfo
-338  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-ca58e9b733514c668a224875417c9d26] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-ca58e9b733514c668a224875417c9d26>执行结束
door is Ok
-339  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-cfccfb37ebda4279b7552f7e060b2ddb] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-cfccfb37ebda4279b7552f7e060b2ddb>执行開始...
-338  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-17debef817e34c49996a2c38840f3de2] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-17debef817e34c49996a2c38840f3de2>执行结束
Base:something about baseInfo
door is Ok
Base:something about baseInfo
-340  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-3f7707cb2a224d3d8844a09271b24a07] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-3f7707cb2a224d3d8844a09271b24a07>执行结束
roof is Ok
-340  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-af0e914cce89480987c6184a885770d5] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-af0e914cce89480987c6184a885770d5>执行结束
-342  [id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-cfccfb37ebda4279b7552f7e060b2ddb] INFO - 线程<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third-cfccfb37ebda4279b7552f7e060b2ddb>执行结束
-343  [RMI TCP Connection(1)-192.168.84.73] INFO - 线程组<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third>执行结束, 用时:10ms

从上面的日志能够看出：
因为第一步工作是挑一个单干的，因此是没有启用线程组的
第二步同一时候有9个线程干活：

1
2
3

-234 [RMI TCP Connection(1)-192.168.84.73] INFO - 线程组<id:4af96b81d14a4954a6b649308d444e4c,type:second>执行開始,线程数9...
...
-264 [RMI TCP Connection(1)-192.168.84.73] INFO - 线程组<id:4af96b81d14a4954a6b649308d444e4c,type:second>执行结束, 用时:30ms

第三步同一时候有5个线程干活：

1
2
3

-333 [RMI TCP Connection(1)-192.168.84.73] INFO - 线程组<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third>执行開始,线程数5...
...
-343 [RMI TCP Connection(1)-192.168.84.73] INFO - 线程组<id:9b0de678632d4fb8b87ae9db4b6436f8,type:third>执行结束, 用时:10ms

总结：
Tiny并行计算框架确实是能够方便的解决各种复杂并行计算的问题。

转载于:https://www.cnblogs.com/zfyouxi/p/5103769.html