Kafka的生产者消费者Java操作示例

淩亂°似流年 2022-05-18 10:09 238阅读 0赞

本文提供Java对Kafka生产者、消费者操作的简单示例：

1.首先看下pom依赖：

<dependency>
       <groupId>org.apache.kafka</groupId>
       <artifactId>kafka-clients</artifactId>
       <version>2.0.0</version>
    </dependency>
    <dependency>
       <groupId>log4j</groupId>
       <artifactId>log4j</artifactId>
       <version>1.2.17</version>
    </dependency>
    <dependency>
       <groupId>org.slf4j</groupId>
       <artifactId>slf4j-nop</artifactId>
       <version>1.7.22</version>
    </dependency>

2.新建Producer类，其代码如下：

public class Producer {
    
        public static void main(String[] args){
    
            int events = 100;
            Properties props = new Properties();
            //集群地址，多个服务器用"，"分隔
            props.put("bootstrap.servers", "127.0.0.1:9092");
            //key、value的序列化，此处以字符串为例，使用kafka已有的序列化类
            props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
            props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
            //props.put("partitioner.class", "com.kafka.demo.Partitioner");//分区操作，此处未写
            props.put("request.required.acks", "1");
            //创建生产者
            Producer<String, String> producer = new KafkaProducer<>(props);
            for (int i = 0; i < events; i++){
                long runtime = new Date().getTime();
                String ip = "192.168.1." + i;
                String msg = runtime + "时间的模拟ip：" + ip;
                //写入名为"test-partition-1"的topic
                ProducerRecord<String, String> producerRecord = new ProducerRecord<>("test-partition-1", "key-"+i, msg);
                producer.send(producerRecord);
                System.out.println("写入test-partition-1：" + msg);
                try {
                    Thread.sleep(1000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
            producer.close();
        }
    }

3.新建Consumer类，其代码如下：

public class Consumer {
    
        public static void main(String[] args) {
            Properties props = new Properties();
            //集群地址，多个地址用"，"分隔
            props.put("bootstrap.servers","127.0.0.1:9092");
            //设置消费者的group id
            props.put("group.id", "group1");
            //如果为真，consumer所消费消息的offset将会自动的同步到zookeeper。如果消费者死掉时，由新的consumer使用继续接替
            props.put("enable.auto.commit", "true");
            //consumer向zookeeper提交offset的频率
            props.put("auto.commit.interval.ms", "1000");
            props.put("session.timeout.ms", "30000");
            //反序列化
            props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
            props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
            //创建消费者
            KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
            // 订阅topic，可以为多个用,隔开，此处订阅了"test-partition-1", "test"这两个主题
            consumer.subscribe(Arrays.asList("test-partition-1", "test"));
            //持续监听
            while(true){
                //poll频率
                ConsumerRecords<String,String> consumerRecords = consumer.poll(100);
                     for(ConsumerRecord<String,String> consumerRecord : consumerRecords){
                         System.out.println("在test-partition-1中读到：" + consumerRecord.value());
                }
            }
        }
    }

4.测试，不要忘记启动kafka后再进行测试，最好先启动消费者再启动生产者，这样效果比较好，分别看下生产者和消费者测试结果：

![70][]            ![70 1][]

测试成功

[70]: https://img-blog.csdn.net/20180802142853506?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM4MDc1NDI1/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70
[70 1]: /images/20220518/7fad3fdb25294e309922e8b6bb7a1dad.png