Kafka：同步发送

╰半夏微凉° 2024-03-25 20:59 71阅读 0赞

**依赖**

<dependency>
                <groupId>org.apache.kafka</groupId>
                <artifactId>kafka-clients</artifactId>
                <version>3.0.0</version>
            </dependency>

**创建toptic主题**

# 创建 test topic
    bin/kafka-topics.sh --bootstrap-server 192.168.25.129:9092 --create --partitions 1 --replication-factor 3
    
    # 查看当前服务器中的所有 topic
    bin/kafka-topics.sh --bootstrap-server 192.168.25.129:9092 --list

###### **同步发送** ######

import org.apache.kafka.clients.producer.KafkaProducer;
    import org.apache.kafka.clients.producer.ProducerConfig;
    import org.apache.kafka.clients.producer.ProducerRecord;
    import org.apache.kafka.common.serialization.StringSerializer;
    
    import java.util.Properties;
    import java.util.concurrent.ExecutionException;
    
    public class CustomProducerSync {
    
        public static void main(String[] args) throws ExecutionException, InterruptedException {
    
            // 0 配置
            Properties properties = new Properties();
    
            // 连接集群 bootstrap.servers
            properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG,"192.168.25.129:9092,192.168.25.128:9092");
    
            // 指定对应的key和value的序列化类型 key.serializer
    //        properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG,"org.apache.kafka.common.serialization.StringSerializer");
            properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
            properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG,StringSerializer.class.getName());
    
            // 1 创建kafka生产者对象
            // KafkaProducer<K, V> 
            // 泛型K为key一般为String类型 泛型V为传递消息的类型，此处发送字符串用String类型
            // 下列发送数据即为 “” “hello ” 
            KafkaProducer<String, String> kafkaProducer = new KafkaProducer<>(properties);
    
            // 2 发送数据
            for (int i = 0; i < 5; i++) {
                // 只需在异步发送的基础上，再调用一下 get()方法即可
                kafkaProducer.send(new ProducerRecord<>("test","hello "+i)).get();
            }
    
            // 3 关闭资源
            kafkaProducer.close();
        }
    }