Disruptor 常见使用场景与代码示例
1. 引言
上期介绍到Disruptor 是一个高性能的无锁并发队列，适用于需要极低延迟和高吞吐量的应用场景。它通过环形缓冲区（RingBuffer）和高效的事件处理机制，显著减少了 CPU 缓存失效和上下文切换的开销。
今天介绍 Disruptor 的几个常见使用场景：事件处理、日志记录、消息传递、实时数据分析和并发任务调度，让你进一步加深对它的印象，下期将介绍Disruptor核心原理。
2. 典型使用场景
2.1. 事件处理
Disruptor 适用于事件驱动架构，实现高效的事件处理。
示例代码：
public class EventData {
private String data;
public void setData(String data) { this.data = data; }
public String getData() { return data; }
}
public class EventFactory implements EventFactory<EventData> {
@Override
public EventData newInstance() { return new EventData(); }
}
public class EventHandler implements EventHandler<EventData> {
@Override
public void onEvent(EventData event, long sequence, boolean endOfBatch) {
System.out.println("Processing event: " + event.getData());
}
}
public class EventProcessingSystem {
public static void main(String[] args) {
Disruptor<EventData> disruptor = new Disruptor<>(
new EventFactory(),
1024,
Executors.defaultThreadFactory(),
ProducerType.SINGLE,
new SleepingWaitStrategy()
);
disruptor.handleEventsWith(new EventHandler());
disruptor.start();
RingBuffer<EventData> ringBuffer = disruptor.getRingBuffer();
ringBuffer.publishEvent((event, sequence) -> event.setData("Sample Event"));
}
}
2.2. 日志记录
Disruptor 适合用作高性能日志队列，避免传统阻塞队列的性能瓶颈。
示例代码：
public class LogEvent {
private String message;
public void setMessage(String message) { this.message = message; }
public String getMessage() { return message; }
}
public class LogEventFactory implements EventFactory<LogEvent> {
@Override
public LogEvent newInstance() { return new LogEvent(); }
}
public class LogEventHandler implements EventHandler<LogEvent> {
@Override
public void onEvent(LogEvent event, long sequence, boolean endOfBatch) {
System.out.println("Log: " + event.getMessage());
}
}
public class DisruptorLogSystem {
public static void main(String[] args) {
Disruptor<LogEvent> disruptor = new Disruptor<>(
new LogEventFactory(),
1024,
Executors.defaultThreadFactory(),
ProducerType.SINGLE,
new SleepingWaitStrategy()
);
disruptor.handleEventsWith(new LogEventHandler());
disruptor.start();
RingBuffer<LogEvent> ringBuffer = disruptor.getRingBuffer();
ringBuffer.publishEvent((event, sequence) -> event.setMessage("Test Log"));
}
}
2.3. 消息传递
Disruptor 适用于高吞吐量的消息传递系统，例如消息队列，以及实时消息等。
示例代码：
public class MessageEvent {
private String message;
public void setMessage(String message) { this.message = message; }
public String getMessage() { return message; }
}
public class MessageEventHandler implements EventHandler<MessageEvent> {
@Override
public void onEvent(MessageEvent event, long sequence, boolean endOfBatch) {
System.out.println("Received message: " + event.getMessage());
}
}
public class DisruptorMessageQueue {
public static void main(String[] args) {
Disruptor<MessageEvent> disruptor = new Disruptor<>(
MessageEvent::new,
1024,
Executors.defaultThreadFactory(),
ProducerType.SINGLE,
new YieldingWaitStrategy()
);
disruptor.handleEventsWith(new MessageEventHandler());
disruptor.start();
RingBuffer<MessageEvent> ringBuffer = disruptor.getRingBuffer();
ringBuffer.publishEvent((event, sequence) -> event.setMessage("Hello Disruptor"));
}
}
2.4. 实时数据分析
Disruptor 可用于高并发环境下的实时数据流处理。
示例代码：
public class DataEvent {
private double value;
public void setValue(double value) { this.value = value; }
}
public class DataAnalyzer implements EventHandler<DataEvent> {
@Override
public void onEvent(DataEvent event, long sequence, boolean endOfBatch) {
System.out.println("Analyzing data: " + event.value);
}
}
2.5. 并发任务调度
在高并发环境下，使用 Disruptor 可以构建高效的异步任务调度系统。
示例代码：
public class TaskEvent {
private Runnable task;
public void setTask(Runnable task) { this.task = task; }
}
public class TaskHandler implements EventHandler<TaskEvent> {
@Override
public void onEvent(TaskEvent event, long sequence, boolean endOfBatch) {
event.task.run();
}
}
3. 总结
Disruptor 在低延迟、高吞吐场景下表现优异，适用于事件处理、日志记录、消息传递、实时数据分析和并发任务调度等应用。合理选择 WaitStrategy 和 ProducerType，可以进一步优化性能。
如果你的应用对并发性能有极高要求，Disruptor 绝对值得一试！
4.最后
下期将介绍Disruptor 的核心原理， 欢迎点击关注加瓦点灯，不错过每一次的干货！
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