spring kafka事务处理

最新推荐文章于 2025-06-16 16:51:22 发布

qermeng

最新推荐文章于 2025-06-16 16:51:22 发布

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本文介绍如何在Spring框架中使用KafkaTransactionManager进行事务管理，通过配置KafkaTemplate和ProducerFactory实现消息的可靠发送。文章提供了完整的代码示例，包括服务接口、实现类以及配置类。

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spring kafka事务处理

You can use the KafkaTransactionManager with normal Spring transaction support (@Transactional, TransactionTemplate etc). If a transaction is active, any KafkaTemplate operations performed within the scope of the transaction will use the transaction’s Producer. The manager will commit or rollback the transaction depending on success or failure. The KafkaTemplate must be configured to use the same ProducerFactory as the transaction manager.

package shangbo.kafka.example9;

import org.springframework.context.ApplicationContext;
import org.springframework.context.annotation.AnnotationConfigApplicationContext;

public class App {
	@SuppressWarnings({ "resource" })
	public static void main(String[] args) {
		ApplicationContext context = new AnnotationConfigApplicationContext(AppConfig.class);
		Service service = context.getBean(Service.class);

		// 发送
		service.send("topic0", "message x5");
	}
}

package shangbo.kafka.example9;

import java.util.HashMap;
import java.util.Map;

import org.apache.kafka.clients.producer.ProducerConfig;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.core.ProducerFactory;
import org.springframework.kafka.transaction.KafkaTransactionManager;
import org.springframework.transaction.annotation.EnableTransactionManagement;

@Configuration
@EnableTransactionManagement // 开启事务管理
public class AppConfig {

	@Bean
	public KafkaTemplate<String, String> kafkaTemplate(ProducerFactory<String, String> factory) {
		return new KafkaTemplate<String, String>(factory);
	}

	@Bean
	public ProducerFactory<String, String> producerFactory() {
		DefaultKafkaProducerFactory<String, String> producerFactory = new DefaultKafkaProducerFactory<>(producerConfigs());
		producerFactory.setTransactionIdPrefix("test.transaction");
		
		return producerFactory;
	}

	@Bean
	public Map<String, Object> producerConfigs() {
		Map<String, Object> props = new HashMap<>();
		props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
		props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");
		props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");

		return props;
	}

	@Bean
	public KafkaTransactionManager<String, String> kafkaTransactionManager(ProducerFactory<String, String> factory) {
		return new KafkaTransactionManager<String, String>(factory);
	}

	@Bean
	public Service service(KafkaTemplate<String, String> kafkaTemplate) {
		Service service = new ServiceImpl();
		service.setKafkaTemplate(kafkaTemplate);

		return service;
	}

}

package shangbo.kafka.example9;

import org.springframework.kafka.core.KafkaTemplate;

public interface Service {
	void send(String topic, String message);

	void setKafkaTemplate(KafkaTemplate<String, String> kafkaTemplate);
}

package shangbo.kafka.example9;

import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.transaction.annotation.Transactional;

public class ServiceImpl implements Service {
	private KafkaTemplate<String, String> kafkaTemplate;

	@Override
	@Transactional
	public void send(String topic, String message) {
		kafkaTemplate.send(topic, message);
		kafkaTemplate.flush();
	}

	@Override
	public void setKafkaTemplate(KafkaTemplate<String, String> kafkaTemplate) {
		this.kafkaTemplate = kafkaTemplate;
	}

}