Apache Kafka提供了一个确切的一次事务(Exactly Once Transaction)功能,该功能确保了消息传递的精确性。同时,Kafka还提供了Fencing机制,以确保只有具有正确事务ID的生产者才能写入分区,并保证消费者仅读取可序列化的副本。Fencing机制的实现方式是在每个生产者发送消息时设置一个Epoch,用于监控生产者的状态。
下面的示例代码演示了如何使用Fencing机制来防止其他生产者在当前Epoch上写入分区,从而保证消息传递的准确性。
public class KafkaProducer {
private static final String FENCED_PRODUCER_EPOCH_KEY = "fenced_producer_epoch";
private static final int TIMEOUT_MILLIS = 1000;
private static final int MAX_RETRIES = 10;
private final String topic;
private final KafkaProducer producer;
private final String epoch;
private final String transactionalId;
public KafkaProducer(String bootstrapServers, String transactionalId, String topic) {
Properties props = new Properties();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG, transactionalId);
props.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG, true);
this.topic = topic;
this.transactionalId = transactionalId;
this.producer = new KafkaProducer<>(props, new StringSerializer(), new StringSerializer());
// Generate a unique epoch for the FencedProducer
String epoch = UUID.randomUUID().toString();
this.epoch = epoch;
// Store the epoch in the producer's configuration
producer.configure(getProducerConfiguration(epoch));
producer.initTransactions();
producer.beginTransaction();
}
public void send(String key, String value) throws ProducerFencedException {
try {
producer.send(new ProducerRecord<>(topic, key, value)).get(TIMEOUT_MILLIS, TimeUnit.MILLISECONDS);
} catch (InterruptedException | ExecutionException | TimeoutException e) {
// The send request failed - rollback the transaction
producer.abortTransaction();
throw new ProducerFencedException("Producer failed to send message", e);
}
}
private Properties getProducerConfiguration(String epoch) {
Properties props = new Properties();
props.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG, transactionalId);
props.put(FENCED_PRODUCER_EPOCH_KEY,