如何在 Kafka Consumer API 中使用 key 读取数据?

How to read data using key in Kafka Consumer API?

我正在使用以下代码构建消息...

Producer<String, String> producer = new kafka.javaapi.producer.Producer<String, String>(producerConfig);
KeyedMessage<String, String> keyedMsg = new KeyedMessage<String, String>(topic, "device-420",  "{message:'hello world'}");          
producer.send(keyedMsg);

并使用以下代码块消费...

//Key = topic name, Value = No. of threads for topic
Map<String, Integer> topicCount = new HashMap<String, Integer>();       
topicCount.put(topic, 1);

//ConsumerConnector creates the message stream for each topic
Map<String, List<KafkaStream<byte[], byte[]>>> consumerStreams = consumerConnector.createMessageStreams(topicCount);         

// Get Kafka stream for topic
List<KafkaStream<byte[], byte[]>> kStreamList = consumerStreams.get(topic);

// Iterate stream using ConsumerIterator
for (final KafkaStream<byte[], byte[]> kStreams : kStreamList) {
    ConsumerIterator<byte[], byte[]> consumerIte = kStreams.iterator();         
    while (consumerIte.hasNext()) {             
        MessageAndMetadata<byte[], byte[]> msg = consumerIte.next();            
        System.out.println(topic.toUpperCase() + ">"
                + " Partition:" + msg.partition()
                + " | Key:"+ new String(msg.key())
                + " | Offset:" + msg.offset()
                + " | Message:"+ new String(msg.message()));
    }
}

一切正常,因为我正在明智地阅读数据主题。所以我想知道有没有办法使用消息 key 来消耗数据,即本例中的 device-420

简答:没有。

Kafka 中最小的粒度是一个partition。您可以编写一个只从单个分区读取的客户端。但是,一个分区可以包含多个键,您需要消耗该分区中包含的所有键。