kafka集群配置和java编写生产者消费者操作例子

• kafka
  • 安装
  • 修改配置文件
  • java操作kafka

kafka

kafka的操作相对来说简单很多

安装

下载kafka http://kafka.apache.org/downloads

tar -zxvf kafka_2.12-2.1.0.tgz
rm kafka_2.12-2.1.0.tgz
mv kafka_2.12-2.1.0 kafka

sudo vim /etc/profile
    export KAFKA_HOME=/usr/local/kafka
    export PATH=$PATH:$KAFKA_HOME/bin

source /etc/profile

准备 worker1 worker2 worker3 这四台机器

首先确保你的zookeeper集群能够正常运行worker1 worker2 worker3为zk集群
具体配置参照我的博客https://www.cnblogs.com/ye-hcj/p/9889585.html

修改配置文件

1. server.properties

   sudo vim server.properties
   添加如下属性
   broker.id=0 # 3台机器分别设置成0 1 2
   log.dirs=/usr/local/kafka/logs
   zookeeper.connect=worker1:2181,worker2:2181,worker3:2181
   

2. 运行

   运行
       bin/kafka-server-start.sh config/server.properties
   创建topic
       bin/kafka-topics.sh --create --zookeeper worker1:2181 --replication-factor 2 --partitions 2 --topic test
   查看topic
       bin/kafka-topics.sh --list --zookeeper worker1:2181
   订阅topic，利用worker2来订阅
       bin/kafka-console-consumer.sh --bootstrap-server worker1:9092 --topic test --from-beginning
   topic发送消息
       bin/kafka-console-producer.sh --broker-list worker1:9092 --topic test
       键入任何消息，worker2都能接收到
   查看topic详情
       bin/kafka-topics.sh --describe --zookeeper worker1:2181 --topic test
   

java操作kafka

1. 依赖

   <dependency>
       <groupId>org.apache.kafka</groupId>
       <artifactId>kafka_2.12</artifactId>
       <version>2.1.0</version>
   </dependency>
   

2. 生产者

   public class Producer
   {
       public static void main( String[] args ){
           Properties props = new Properties();
           // 服务器ip
           props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "worker1:9092,worker2:9092,worker3:9092");
           // 属性键值对都序列化成字符串
           props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
           props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
   
           // 创建一个生产者，向test主题发送数据
           KafkaProducer<String, String> producer = new KafkaProducer<>(props);
           producer.send(new ProducerRecord<String, String>("test", "生产者传递的消息"));
           producer.close();
       }
   }
   

3. 消费者

   public class Consumer
   {
       public static void main( String[] args ){
           Properties props = new Properties();
           props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "worker1:9092,worker2:9092,worker3:9092");
           props.put(ConsumerConfig.GROUP_ID_CONFIG, "consumer");
           props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, true);
           props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, 1000);
           props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
           props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
   
           // 消费者对象
           KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<>(props);
           kafkaConsumer.subscribe(Arrays.asList("test"));
           while (true) {
               ConsumerRecords<String, String> records = kafkaConsumer.poll(Duration.between(
               LocalDateTime.parse("2019-01-09T11:30:30"), LocalDateTime.now()));
               for (ConsumerRecord<String, String> record : records) {
                   System.out.printf("offset = %d, value = %s", record.offset(), record.value());
                   System.out.println();
               }
           }
       }
   }