Java Api操作Kafka

執行下述操作前需要先部署kafka環境，參考kafka環境部署
1、添加maven依賴

<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
    <version>0.10.2.0</version>
</dependency>

2、生產者代碼

import java.util.Properties;

import org.apache.kafka.clients.producer.Callback;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.apache.kafka.common.utils.Utils;
/**
 * 生產者
 *
 */
public class SimpleProducer {

    public static void main(String[] args) throws Exception {
        String topic = "test";
//        String topic2 = "test2";

        Properties props = new Properties();
        props.put("bootstrap.servers", "192.168.0.181:9092");
        props.put("acks", "all");
        props.put("retries", 0);
        props.put("batch.size", 16384);
        props.put("linger.ms", 1);
        props.put("buffer.memory", 33554432);
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");

        Producer<String, String> producer = new KafkaProducer<>(props);
        for (int i = 1000000; i < 2000000; i++) {
            Utils.sleep(100);
            String msg = topic + "-" + i; // 要發送的消息內容
            producer.send(new ProducerRecord<String, String>(topic, msg), new Callback() {
                @Override
                public void onCompletion(RecordMetadata metadata, Exception e) {
                    if (e != null) {
                        e.printStackTrace();
                    } else {
                        System.out.printf("topic = %s, offset = %d%n", metadata.topic(),
                                metadata.offset());
                    }
                }
            });
//            producer.send(new ProducerRecord<String, String>(topic2, msg));
        }
        producer.close();
    }
}

消費者代碼

import java.util.Arrays;
import java.util.Properties;

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
/**
 * 消費者
 */
public class SimpleConsumer {
    public static void main(String[] args) {
        Properties props = new Properties();
        props.put("bootstrap.servers", "192.168.0.181:9092");
        props.put("group.id", "test");
        props.put("enable.auto.commit", "true");
        props.put("auto.commit.interval.ms", "1000");
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
        consumer.subscribe(Arrays.asList("test","test2")); // 可同時接收多個topic的消息
        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(100); // 每次讀取100條消息
            for (ConsumerRecord<String, String> record : records)
                System.out.printf("offset = %d, key = %s, value = %s%n", record.offset(),
                        record.key(), record.value());
        }
    }
}

先運行生產者代碼，再運行消費者代碼，測試能否接收到消息。