序

这里简单展示一下如何使用kafka0.8的client去消费一个topic。

maven

<dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.10</artifactId>
            <version>0.8.2.2</version>
        </dependency>

初始化客户端

Properties props = new Properties();
        props.put("zookeeper.connect", zk);
//        props.put("auto.offset.reset","smallest");
        props.put("group.id",group);
        props.put("zookeeper.session.timeout.ms", "10000");
        props.put("zookeeper.sync.time.ms", "2000");
        props.put("auto.commit.interval.ms", "10000");
        props.put("consumer.timeout.ms","10000"); //设置ConsumerIterator的hasNext的超时时间,不设置则永远阻塞直到有新消息来
        props.put(org.apache.kafka.clients.consumer.ConsumerConfig.PARTITION_ASSIGNMENT_STRATEGY, "range");
        ConsumerConfig consumerConfig =  new kafka.consumer.ConsumerConfig(props);
        ConsumerConnector consumerConnector = kafka.consumer.Consumer.createJavaConsumerConnector(consumerConfig);
        Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
        topicCountMap.put(topic, consumerCount);
        Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumerConnector
                .createMessageStreams(topicCountMap);

并发消费

consumerMap.get(topic).stream().forEach(stream -> {

            pool.submit(new Runnable() {
                @Override
                public void run() {
                    ConsumerIterator<byte[], byte[]> it = stream.iterator();

                    //it.hasNext()取决于consumer.timeout.ms的值,默认为-1
                    try{
                        while (it.hasNext()) {
                            System.out.println(Thread.currentThread().getName()+" hello");
                            //是hasNext抛出异常,而不是next抛出
                            System.out.println(Thread.currentThread().getName()+":"+new String(it.next().message()));
                        }
                    }catch (ConsumerTimeoutException e){
                        e.printStackTrace();
                    }

                    System.out.println(Thread.currentThread().getName()+" end");
                }
            });

        });

注意事项

消费者实例数*每个实例的消费线程数 <= topic的partition数量，否则多余的就浪费了。