在Apache Kafka中延迟使用消费者的消息

我正在使用Kafka 0.8.0并尝试实现以下提到的方案。

JCA API（充当生产者并向其发送数据）--->消费者------> HBase

使用JCA客户端获取数据后，我便立即将每条消息发送给使用者。例如，一旦生产者发送消息号1，我就想从消费者那里获取相同的消息并“放入” HBase。但是我的使用者在经过一些随机的n条消息后开始获取消息。我想使生产者和消费者同步，以便他们两者开始一起工作。

我用过了：

1个经纪人

1个主题

1个单一生产者和高级消费者

谁能建议我需要做些什么来达到同样的目的？

编辑：

添加一些相关的代码片段。

消费者.java

public class Consumer extends Thread {
    private final ConsumerConnector consumer;
    private final String topic;
    PrintWriter pw = null;
    int t = 0;
    StringDecoder kd = new StringDecoder(null);
    Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
    Map<String, List<KafkaStream<String, Signal>>> consumerMap;
    KafkaStream<String, Signal> stream;
    ConsumerIterator<String, Signal> it;

    public Consumer(String topic) {
        consumer = kafka.consumer.Consumer.createJavaConsumerConnector(createConsumerConfig());

        this.topic = topic;
        topicCountMap.put(topic, new Integer(1));
        consumerMap = consumer.createMessageStreams(topicCountMap, kd, new Serializer(
                new VerifiableProperties()));
        stream = consumerMap.get(topic).get(0);
        it = stream.iterator();

    }

    private static ConsumerConfig createConsumerConfig() {
        Properties props = new Properties();
        props.put("zookeeper.connect", KafkaProperties.zkConnect);
        props.put("group.id", KafkaProperties.groupId);
        props.put("zookeeper.session.timeout.ms", "400");
        props.put("zookeeper.sync.time.ms", "200");
        props.put("auto.commit.interval.ms", "1000");
        props.put("fetch.size", "1024");

        return new ConsumerConfig(props);

    }

    synchronized public void run() {

        while (it.hasNext()) {
            t = (it.next().message()).getChannelid();
            System.out.println("In Consumer received msg" + t);
        }
    }
}

生产者

public class Producer {
    public final kafka.javaapi.producer.Producer<String, Signal> producer;
    private final String topic;
    private final Properties props = new Properties();

    public Producer(String topic)
    {
        props.put("serializer.class", "org.bigdata.kafka.Serializer");
        props.put("key.serializer.class", "kafka.serializer.StringEncoder");
        props.put("metadata.broker.list", "localhost:9092");
        // Use random partitioner. Don't need the key type. Just set it to Integer.
        // The message is of type userdefined Object .
        producer = new kafka.javaapi.producer.Producer<String,Signal(newProducerConfig(props));
        this.topic = topic;
    }
}

KafkaProperties.java

public interface KafkaProperties {
    final static String zkConnect = "127.0.0.1:2181";
    final static String groupId = "group1";
    final static String topic = "test00";
    final static String kafkaServerURL = "localhost";
    final static int kafkaServerPort = 9092;
    final static int kafkaProducerBufferSize = 64 * 1024;
    final static int connectionTimeOut = 100000;
    final static int reconnectInterval = 10000;
    final static String clientId = "SimpleConsumerDemoClient";
}

消费者对前10条消息的行为方式是这样的，它不会使消费者收到的消息失效，但是从第11条消息开始，它将开始正常运行。

     producer sending msg1

     producer sending msg2

     producer sending msg3

     producer sending msg4

     producer sending msg5

     producer sending msg6

     producer sending msg7

     producer sending msg8

     producer sending msg9

     producer sending msg10

     producer sending msg11

     producer sending msg12
     In Consumer received msg12

     producer sending msg13
     In Consumer received msg13

     producer sending msg14
     In Consumer received msg14

     producer sending msg15
     In Consumer received msg15

     producer sending msg16
     In Consumer received msg16

     producer sending msg17
     In Consumer received msg17

     producer sending msg18
     In Consumer received msg18

     producer sending msg19
     In Consumer received msg19

     producer sending msg20
     In Consumer received msg20

     producer sending msg21
     In Consumer received msg21

编辑：在生产者向消费者发送消息的地方添加侦听器功能。我正在使用默认的生产者配置没有覆盖它

public synchronized void onValueChanged(final MonitorEvent event_) {


    // Get the value from the DBR
    try {
        final DBR dbr = event_.getDBR();

        final String[] val = (String[]) dbr.getValue();

        producer1.producer.send(new KeyedMessage<String, Signal>         
                    (KafkaProperties.topic,new Signal(messageNo)));
        System.out.println("producer sending msg"+messageNo);

        messageNo++;


    } catch (Exception ex) {
        ex.printStackTrace();
    }
}