使用reactor eventbus进行事件驱动开发

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##maven

<dependency>
			<groupId>io.projectreactor</groupId>
			<artifactId>reactor-bus</artifactId>
		</dependency>

##config

@Configuration
public class EventConfig {

    @Bean
    Environment environment() {
        return Environment.initializeIfEmpty().assignErrorJournal();
    }

    @Bean
    @Autowired
    public EventBus eventBus(Environment environment,MyEventListener myEventListener) {
        EventBus eventBus = EventBus.create(environment,Environment.THREAD_POOL);

        eventBus.on($("myevent"),myEventListener);

        return eventBus;
    }
}

env的默认配置从reactor-core-2.0.8.RELEASE.jar!/Meta-INF/reactor/reactor-environment.properties中读取

#
# Copyright (c) 2011-2015 Pivotal Software Inc.,Inc. All Rights Reserved.
#
# Licensed under the Apache License,Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#       http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,software
# distributed under the License is distributed on an "AS IS" BASIS,# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

##
# Dispatcher configuration
#
# Each dispatcher must be configured with a type:
#
# reactor.dispatchers.<name>.type = <type>
#
# Legal values for <type> are dispatcherGroup,ringBuffer,synchronous,and workQueue.

# Depending on the type,further configuration is be possible:
#
# reactor.dispatchers.<name>.size:    dispatcherGroup and workQueue Dispatchers
# reactor.dispatchers.<name>.backlog: dispatcherGroup,and workQueue Dispatchers
#
# A size less than 1 may be specified to indicate that the size should be the same as the number
# of cpus.

# A thread pool executor dispatcher,named threadPoolExecutor
reactor.dispatchers.threadPoolExecutor.type = threadPoolExecutor
reactor.dispatchers.threadPoolExecutor.size = 0
# Backlog is how many Task objects to warm up internally
reactor.dispatchers.threadPoolExecutor.backlog = 2048

# A group of dispatchers replicated from the default dispatcher,named dispatcherGroup
reactor.dispatchers.dispatcherGroup.type = dispatcherGroup
reactor.dispatchers.dispatcherGroup.size = 0
reactor.dispatchers.dispatcherGroup.backlog = 2048

# A ring buffer dispatcher,named ringBuffer
reactor.dispatchers.shared.type = ringBuffer
reactor.dispatchers.shared.backlog = 8192

# A work queue dispatcher,named workQueue
reactor.dispatchers.workQueue.type = workQueue
reactor.dispatchers.workQueue.size = 0
reactor.dispatchers.workQueue.backlog = 2048

# The dispatcher named shared should be the default dispatcher
reactor.dispatchers.default = shared

##event listener

@Component
public class MyEventListener implements Consumer<Event<MyEvent>> {

    private static final Logger LOGGER = LoggerFactory.getLogger(MyEventListener.class);

    @Override
    public void accept(Event<MyEvent> eventContextEvent) {

        MyEvent event = eventContextEvent.getData();

        LOGGER.info("thread {},receive event:{}",Thread.currentThread().getName(),event.getData());
    }
}

##publish event

@Autowired
    EventBus eventBus;

    public void publishEvent(String data){
        eventBus.notify("myevent",Event.wrap(new MyEvent(data)));
    }

##ThreadPoolExecutorDispatcher reactor-core-2.0.8.RELEASE-sources.jar!/reactor/core/dispatch/ThreadPoolExecutorDispatcher.java 在reactor-core-2.0.8.RELEASE-sources.jar!/reactor/Environment.java创建默认的ThreadPoolExecutorDispatcher

private static ThreadPoolExecutorDispatcher createThreadPoolExecutorDispatcher(DispatcherConfiguration dispatcherConfiguration) {
		int size = getSize(dispatcherConfiguration,0);
		int backlog = getBacklog(dispatcherConfiguration,128);

		return new ThreadPoolExecutorDispatcher(size,backlog,dispatcherConfiguration.getName());
	}

构造器

/**
	 * Create a new {@literal ThreadPoolExecutorDispatcher} with the given size,name,and {@link
	 * java.util.concurrent.RejectedExecutionHandler}.
	 *
	 * @param poolSize
	 * 		the pool size
	 * @param backlog
	 * 		the backlog size
	 * @param threadName
	 * 		the name prefix to use when creating threads
	 */
	public ThreadPoolExecutorDispatcher(int poolSize,int backlog,String threadName) {
		this(poolSize,threadName,new LinkedBlockingQueue<Runnable>(backlog),new RejectedExecutionHandler() {
			     @Override
			     public void rejectedExecution(Runnable r,ThreadPoolExecutor executor) {
				     r.run();
			     }
		     });
	}

默认采用的是LinkedBlockingQueue,大小为配置文件指定的backlog,RejectedExecutionHandler采用的是调用者执行。

/**
     * A handler for rejected tasks that runs the rejected task
     * directly in the calling thread of the {@code execute} method,* unless the executor has been shut down,in which case the task
     * is discarded.
     */
    public static class CallerRunsPolicy implements RejectedExecutionHandler {
        /**
         * Creates a {@code CallerRunsPolicy}.
         */
        public CallerRunsPolicy() { }

        /**
         * Executes task r in the caller's thread,unless the executor
         * has been shut down,in which case the task is discarded.
         *
         * @param r the runnable task requested to be executed
         * @param e the executor attempting to execute this task
         */
        public void rejectedExecution(Runnable r,ThreadPoolExecutor e) {
            if (!e.isShutdown()) {
                r.run();
            }
        }
    }

因此,队列没有满的时候是异步的,满的时候就阻塞了。

##doc

原文链接:https://www.f2er.com/react/304244.html

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