上午测试了下并发情况下的表现，测试场景：一个有20个节点，包括选择、顺序、并行路由的流程，所有节点都设置为自动执行，1000个线程并发启动案例，也就是这个流程同时有1000个案例在跑，全部跑完结果差强人意，比单线程慢了接近30倍。仔细调整了算法和加锁粒度，尽管整体性能有所提高，但是多线程和单线程间执行的差距仍然没有多大变化，性能瓶颈还是在核心的调度算法上，还需要分析下。测试程序如下：
package net.rubyeye.insect.workflow.test;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.CyclicBarrier;
import net.rubyeye.insect.workflow.Place;
import net.rubyeye.insect.workflow.Token;
import net.rubyeye.insect.workflow.Transition;
import net.rubyeye.insect.workflow.WorkFlow;
import net.rubyeye.insect.workflow.WorkFlowManager;
import net.rubyeye.insect.workflow.basic.BasicWorkflowManager;
import net.rubyeye.insect.workflow.comm.TransitionType;
import net.rubyeye.insect.workflow.config.DefaultConfiguration;
import junit.framework.TestCase;
public class CompositeProcessTest extends TestCase {
private WorkFlowManager wm;
WorkFlow composite;
private CyclicBarrier barrier;
private static final int total = 1000;
@Override
protected void setUp() throws Exception {
this.barrier = new CyclicBarrier(total + 1);
wm = new BasicWorkflowManager();
wm.setConfiguration(new DefaultConfiguration());
WorkFlow sequence = wm.getWorkFlow("sequence");
WorkFlow concurrency = wm.getWorkFlow("concurrency");
WorkFlow choose = wm.getWorkFlow("choose");
// 组合流程
composite = new WorkFlow();
composite.setName("composite");
composite.setId(100);
wm.saveWorkFlow(composite);
// 修改开始结束节点的输入输出库所
sequence.getEnd().setType(TransitionType.NORMAL);
sequence.getEnd().setOutputs(concurrency.getStart().getInputs());
concurrency.getEnd().setType(TransitionType.NORMAL);
concurrency.getEnd().setOutputs(choose.getStart().getInputs());
composite.setStart(sequence.getStart());
composite.setEnd(choose.getEnd());
List<Transition> transitions = new ArrayList<Transition>();
transitions.addAll(sequence.getTransitions());
transitions.addAll(concurrency.getTransitions());
transitions.addAll(choose.getTransitions());
composite.setTransitions(transitions);
}
public void testConcurrencyCompositeProcesss() throws Exception {
for (int i = 0; i < total; i++) {
new FlowThread().start();
}
barrier.await();
long start = System.currentTimeMillis();
barrier.await();
long end = System.currentTimeMillis();
System.out.println("创建" + total + "个流程并发运行完毕\n花费时间:" + (end - start)
/ 1000.0 + "秒");
for (Transition transition : composite.getTransitions()) {
System.out.println(transition.getName() + " "
+ transition.isEnable());
for (Place place : transition.getOutputs()) {
System.out.println("place " + place.getId() + " "
+ place.getTokens().size());
}
}
}
public void testCompositeProcesss() throws Exception {
long start = System.currentTimeMillis();
for (int i = 0; i < total; i++) {
Token token1 = wm.startWorkFlow("composite");
token1.setAttribute("name", "dennis");
token1.setAttribute("num", 21);
wm.doAction(token1.getId());
assertTrue(token1.isFinished());
}
long end = System.currentTimeMillis();
System.out.println("创建" + total + "个流程运行完毕\n花费时间:" + (end - start)
/ 1000.0 + "秒");
}
class FlowThread extends Thread {
@Override
public void run() {
try {
barrier.await();
// wm = new BasicWorkflowManager();
Token token1 = wm.startWorkFlow("composite");
token1.setAttribute("name", "dennis");
token1.setAttribute("num", 21);
wm.doAction(token1.getId());
assertTrue(token1.isFinished());
barrier.await();
} catch (Exception e) {
throw new RuntimeException(e);
}
}
}
}
文章转自庄周梦蝶 ，原文发布时间 2007-10-12