Redis 消息监听器: 使用 @Slf4j 和 @Component 注解实现消息处理
@Slf4j @Component public class RedisMessageListenerListener implements MessageListener { private AtomicInteger counter = new AtomicInteger(0); private Timer timer = new Timer(); @Resource private RedisTemplate<String, Object> redisTemplate; @Autowired private AsyncInstDataCapture asyncInstDataCapture;
/**
* 消息处理
*
* @param message
* @param pattern
*/
@Override
public void onMessage(Message message, byte[] pattern) {
// 增加计数器
counter.incrementAndGet();
// 判断计数器是否超过限制
if (counter.get() <= 10) {
// 处理消息
String channel = new String(pattern);
//log.info('onMessage --> 消息通道是:' + channel);
RedisSerializer<?> valueSerializer = redisTemplate.getValueSerializer();
Object deserialize = valueSerializer.deserialize(message.getBody());
//log.info('反序列化的结果:' + deserialize);
if (deserialize == null) return;
String md5DigestAsHex = DigestUtils.md5DigestAsHex(deserialize.toString().getBytes(StandardCharsets.UTF_8));
//log.info('计算得到的key: ' + md5DigestAsHex);
Boolean result = redisTemplate.opsForValue().setIfAbsent(md5DigestAsHex, '1', 20, TimeUnit.SECONDS);
if (Boolean.TRUE.equals(result)) {
// redis消息进行处理
log.info('接收的结果:' + deserialize.toString());
if (StringUtil.isNotEmpty(deserialize.toString())) {
HashMap hashMap = JSON.parseObject(deserialize.toString(), HashMap.class);
String instid = hashMap.get('instid').toString();
String bar = hashMap.get('bar').toString();
switch (bar) {
case '1m':
asyncInstDataCapture.dataCapture1m(instid);
break;
case '5m':
asyncInstDataCapture.dataCapture5m(instid);
break;
case '15m':
asyncInstDataCapture.dataCapture15m(instid);
break;
case '30m':
asyncInstDataCapture.dataCapture30m(instid);
break;
case '1h':
asyncInstDataCapture.dataCapture1h(instid);
break;
case '4h':
asyncInstDataCapture.dataCapture4h(instid);
break;
default:
}
}
} else {
log.info('其他服务处理中');
}
}
// 定时器每秒重置计数器
timer.schedule(new TimerTask() {
@Override
public void run() {
counter.set(0);
}
}, 1200);
}
}
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