[英]Thread DSL behavior with queue in camel
在下面的路由中,我期望来自queue1
10 msg应该同时处理,但是一次只有一个获得进程。
我错了吗? 或做错了什么?
context.addRoutes(new RouteBuilder() {
public void configure() {
from("test-jms:queue:test.queue1").threads(10)
.process(sleep(1)); // sleep id is 1
}
private Processor sleep(final int sleepId) {
return new Processor() {
@Override
public void process(Exchange exchange) throws Exception {
System.out.println(curTime() + " Going for sleep sleepid=" + sleepId );
Thread.sleep(5000l);
System.out.println(curTime() + " Done sleep sleepid=" + sleepId );
}
};
}
使用以下方式呼叫上述路线:
ExecutorService ec = Executors.newFixedThreadPool(5);
ec.submit(new Task(context,template));
ec.submit(new Task(context,template));
ec.submit(new Task(context,template));
ec.submit(new Task(context,template));
ec.submit(new Task(context,template));
static class Task implements Runnable{
CamelContext context;
ProducerTemplate template;
public Task(CamelContext context, ProducerTemplate template) {
super();
this.context = context;
this.template = template;
}
@Override
public void run() {
Exchange exchange = new DefaultExchange(context);
exchange.setPattern(ExchangePattern.InOnly);
exchange.getIn().setBody("Test Message: " + Thread.currentThread().getName());
System.out.println(Thread.currentThread().getName());
Exchange send = template.send("test-jms:queue:test.queue1",exchange);
System.out.println("completed");
}
}
来自代码的OutPut:
10:24:11 Going for sleep sleepid=1
10:24:16 Done sleep sleepid=1
10:24:16 Going for sleep sleepid=1
10:24:21 Done sleep sleepid=1
10:24:21 Going for sleep sleepid=1
10:24:26 Done sleep sleepid=1
10:24:26 Going for sleep sleepid=1
10:24:31 Done sleep sleepid=1
10:24:31 Going for sleep sleepid=1
10:24:36 Done sleep sleepid=1
如果我们观察时间戳,我们将看到该路由仅处理1 msg。
您需要在JMS端点上启用asyncConsumer
以允许它为异步。 执行此操作时,可以不按顺序处理从队列中消耗的消息,从而默认情况下订购消费者的原因。
代码应该是
public void configure() {
from("test-jms:queue:test.queue1?asyncConsumer=true").threads(10)
.process(sleep(1)); // sleep id is 1
}
但是JMS组件具有内置并发性,通常可以更好地使用,因为它可以使用并发JMS使用者和并发网络。 有关更多详细信息,请参阅concurrentConsumers
和maxConcurrentConsumers
选项。
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