訂單消息

RocketMQ使用FIFO順序提供有序消息。FIFO是英文First In First Out 的縮寫，是一種先進先出的數據緩存器，他與普通存儲器的區別是沒有外部讀寫地址線，這樣使用起來非常簡單，但缺點就是隻能順序寫入數據，順序的讀出數據，其數據地址由內部讀寫指針自動加1完成，不能像普通存儲器那樣可以由地址線決定讀取或寫入某個指定的地址。

發送消息示例代碼

<code>public class OrderedProducer {
    public static void main(String[] args) throws Exception {
        //Instantiate with a producer group name.
        MQProducer producer = new DefaultMQProducer("example_group_name");
        //Launch the instance.
        producer.start();
        String[] tags = new String[] {"TagA", "TagB", "TagC", "TagD", "TagE"};
        for (int i = 0; i < 100; i++) {
            int orderId = i % 10;
            //Create a message instance, specifying topic, tag and message body.
            Message msg = new Message("TopicTestjjj", tags[i % tags.length], "KEY" + i,
                    ("Hello RocketMQ " + i).getBytes(RemotingHelper.DEFAULT_CHARSET));
            SendResult sendResult = producer.send(msg, new MessageQueueSelector() {
            @Override
            public MessageQueue select(List<messagequeue> mqs, Message msg, Object arg) {
                Integer id = (Integer) arg;
                int index = id % mqs.size();
                return mqs.get(index);
            }
            }, orderId);

            System.out.printf("%s%n", sendResult);
        }
        //server shutdown
        producer.shutdown();
    }
}
/<messagequeue>/<code>

訂閱消息樣本代碼

<code>public class OrderedConsumer {
    public static void main(String[] args) throws Exception {
        DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("example_group_name");

        consumer.setConsumeFromWhere(ConsumeFromWhere.CONSUME_FROM_FIRST_OFFSET);

        consumer.subscribe("TopicTest", "TagA || TagC || TagD");

        consumer.registerMessageListener(new MessageListenerOrderly() {

            AtomicLong consumeTimes = new AtomicLong(0);
            @Override
            public ConsumeOrderlyStatus consumeMessage(List<messageext> msgs,
                                                       ConsumeOrderlyContext context) {
                context.setAutoCommit(false);
                System.out.printf(Thread.currentThread().getName() + " Receive New Messages: " + msgs + "%n");
                this.consumeTimes.incrementAndGet();
                if ((this.consumeTimes.get() % 2) == 0) {
                    return ConsumeOrderlyStatus.SUCCESS;
                } else if ((this.consumeTimes.get() % 3) == 0) {
                    return ConsumeOrderlyStatus.ROLLBACK;
                } else if ((this.consumeTimes.get() % 4) == 0) {
                    return ConsumeOrderlyStatus.COMMIT;
                } else if ((this.consumeTimes.get() % 5) == 0) {
                    context.setSuspendCurrentQueueTimeMillis(3000);
                    return ConsumeOrderlyStatus.SUSPEND_CURRENT_QUEUE_A_MOMENT;
                }
                return ConsumeOrderlyStatus.SUCCESS;

            }
        });

        consumer.start();

        System.out.printf("Consumer Started.%n");
    }
}/<messageext>/<code>

閱讀更多 evilRat 的文章

關鍵字: consumeTimes ConsumeOrderlyStatus producer