kafka0.8消費者實例

序

這裏簡單展現一下如何使用kafka0.8的client去消費一個topic。

maven

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

初始化客戶端

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"); //設置ConsumerIterator的hasNext的超時時間,不設置則永遠阻塞直到有新消息來
        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);

併發消費

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

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

                    //it.hasNext()取決於consumer.timeout.ms的值,默認爲-1
                    try{
                        while (it.hasNext()) {
                            System.out.println(Thread.currentThread().getName()+" hello");
                            //是hasNext拋出異常,而不是next拋出
                            System.out.println(Thread.currentThread().getName()+":"+new String(it.next().message()));
                        }
                    }catch (ConsumerTimeoutException e){
                        e.printStackTrace();
                    }

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

        });

注意事項

消費者實例數*每一個實例的消費線程數 <= topic的partition數量，不然多餘的就浪費了。