java发送kafka事务消息

// 1 初始化事务
void initTransactions();


// 2 开启事务
void beginTransaction() throws ProducerFencedException;


// 3 在事务内提交已经消费的偏移量（主要用于消费者）
void sendOffsetsToTransaction(Map<TopicPartition, OffsetAndMetadata> offsets,
 String consumerGroupId) throws ProducerFencedException;


// 4 提交事务
void commitTransaction() throws ProducerFencedException;


// 5 放弃事务（类似于回滚事务的操作）
void abortTransaction() throws ProducerFencedException;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
 
import java.util.Properties;
 
public class ProducerTransaction {
 
    public static void main(String[] args) throws Exception {
 
        // 1. 创建 kafka 生产者的配置对象
        Properties properties = new Properties();
        // 2. 给 kafka 配置对象添加配置信息：bootstrap.servers
        properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "IP:9092");
 
        properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");
        properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");
 
        // 设置事务 id（必须），事务 id 任意起名
        properties.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG, "transaction_id_0");
 
        // 3. 创建 kafka 生产者对象
        KafkaProducer<String, String> kafkaProducer = new KafkaProducer<String, String>(properties);
 
        // 初始化事务
        kafkaProducer.initTransactions();
        // 开启事务
        kafkaProducer.beginTransaction();
        System.out.println("开始发送消息");
        try {
            // 4. 调用 send 方法,发送消息
            for (int i = 0; i < 5; i++) {
                // 发送消息
                kafkaProducer.send(new ProducerRecord<>("zcy222", "hello kafka " + i));
            }
            //int i = 1 / 0;
            // 提交事务
            kafkaProducer.commitTransaction();
        } catch (Exception e) {
            System.out.println(e);
            // 终止事务
            kafkaProducer.abortTransaction();
        } finally {
            // 5. 关闭资源
            kafkaProducer.close();
        }
    }
 
}