使用 Spring Kafka 在单个事务中写入两个 Kafka 主题

Question

我正在尝试找出是否有一种方法可以使用 Kafka 的事务功能在一个事务中写入两个主题。

我知道使用 Kafka 事务的典型场景是消费者-生产者模式，这似乎有据可查。

我尝试过的：

为每个主题创建了一个 KafkaTransactionManager
配置每个 ProducerFactory 使用各自的事务管理器
使用 KafkaTransactionManager

ChainedTransactionManger

为每个主题创建了一个 KafkaTemplate

然后我在执行以下操作的方法上使用了 @Transactional(transactionManager = "chainedTx") 注释：
```
template1.send("topic1", "example payload");
template2.send("topic2", "example payload");
```

这行不通。 KafkaTemplate 是事务性的，但是当调用 send() 方法时，没有正在进行的事务，我得到一个 IllegalStateException.

我打算尝试 KafkaTemplate.executeInTransaction() 方法，但 Javadoc 指出这仅适用于本地事务，因此它似乎不符合我的需要。

我的下一步是尝试直接使用 Kafka 的 Producer API 来查看此模式是否有效，但如果有人能告诉我我在浪费时间而 Kafka 不会，我将不胜感激'不支持事务性写入多个主题。

我确实在 Confluent 关于 Kafka 事务支持的博客中找到了这个声明：

Transactions enable atomic writes to multiple Kafka topics and partitions...

但我还没有找到任何例子来证明它。

第一个生产者的配置

@配置 public class ControlProducerConfig {

@Bean("controlTransactionManager")
KafkaTransactionManager<String, String> transactionManager() {
    return  new KafkaTransactionManager<>(factory());
}

@Bean("controlTemplate")
public KafkaTemplate<String, String> template() {
    return new KafkaTemplate<>(factory());
}

private ProducerFactory<String, String> factory() {
    DefaultKafkaProducerFactory<String, String> factory = new DefaultKafkaProducerFactory<>(config());
    factory.setTransactionIdPrefix("abcd");
    return factory;
}

private Map<String, Object> config() {
    Map<String, Object> props = new HashMap<>();
    props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "xxx.xxx.xxx.xxx");

    props.put("schema.registry.url", "http://xxx.xxx.xxx.xxx/");

    props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
    props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, KafkaAvroSerializer.class);

    // you can't set idempotence without setting max in flight requests to <= 5
    props.put(ProducerConfig.MAX_IN_FLIGHT_REQUESTS_PER_CONNECTION, 1);
    props.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG, "true");
    props.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG, "1234");

    return props;
}

}

第二生产者的配置

@Configuration
public class PayloadProducerConfig {


@Bean("payloadTransactionManager")
KafkaTransactionManager<String, String> transactionManager() {
    return new KafkaTransactionManager<>(factory());
}

@Bean("payloadTemplate")
public KafkaTemplate<String, String> template() {
    return new KafkaTemplate<>(factory());
}

private ProducerFactory<String, String> factory() {
    DefaultKafkaProducerFactory<String, String> factory = new DefaultKafkaProducerFactory<>(config());
    factory.setTransactionIdPrefix("abcd");
    return factory;
}

private Map<String, Object> config() {
    Map<String, Object> props = new HashMap<>();
    props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "xxx.xxx.xxx.xxx");

    props.put("schema.registry.url", "http://xxx.xxx.xxx.xxx/");

    props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
    props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, KafkaAvroSerializer.class);

    // you can't set idempotence without setting max in flight requests to <= 5
    props.put(ProducerConfig.MAX_IN_FLIGHT_REQUESTS_PER_CONNECTION, 1);
    props.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG, "true");
    props.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG, "1234");

    return props;
}

}

主要class

@EnableTransactionManagement
@SpringBootApplication
public class App {

public static void main(String[] args) {
    SpringApplication.run(App.class, args);
}

@Bean("chainedTx")
public ChainedTransactionManager chained(
    @Qualifier("controlTransactionManager") KafkaTransactionManager controlTransactionManager,
    @Qualifier("payloadTransactionManager") KafkaTransactionManager payloadTransactionManager) {

    return new ChainedTransactionManager(controlTransactionManager, payloadTransactionManager);
}

@Bean OnStart onStart(PostTwoMessages postTwoMessages) {
    return new OnStart(postTwoMessages);
}

@Bean
public PostTwoMessages postTwoMessages(
    @Qualifier("controlTemplate") KafkaTemplate<String, String> controlTemplate,
    @Qualifier("controlTemplate") KafkaTemplate<String, String> payloadTemplate) {

    return new PostTwoMessages(controlTemplate, payloadTemplate);
}

}

应用程序启动时

public class OnStart implements ApplicationListener<ApplicationReadyEvent> {

private PostTwoMessages postTwoMessages;

public OnStart(PostTwoMessages postTwoMessages) {
    this.postTwoMessages = postTwoMessages;
}

@Override
public void onApplicationEvent(ApplicationReadyEvent event) {
    postTwoMessages.run();
}

}

发布两条消息

public class PostTwoMessages  {

private final KafkaTemplate<String, String> controlTemplate;
private final KafkaTemplate<String, String> payloadTemplate;

public PostTwoMessages(
    @Qualifier("controlTemplate") KafkaTemplate<String, String> controlTemplate,
    @Qualifier("payloadTemplate") KafkaTemplate<String, String> payloadTemplate) {

    this.controlTemplate = controlTemplate;
    this.payloadTemplate = payloadTemplate;
}

@Transactional(transactionManager = "chainedTx")
public void run() {
    UUID uuid = UUID.randomUUID();
    controlTemplate.send("private.s0869y.trx.model3a", "control: " + uuid);
    payloadTemplate.send("private.s0869y.trx.model3b", "payload: " + uuid);
}

}

Answer 1

它应该可以工作；你有@EnableTransactionManagement吗？

但是，交易不能跨越 2 个不同的生产者；您必须使用相同的模板进行两次发送。否则它是 2 个不同的交易。

编辑

这是一个 Spring 引导应用程序的示例：

EDIT2

更新示例以显示通过 executeInTransaction 使用本地事务。

@SpringBootApplication
public class So54865968Application {

    public static void main(String[] args) {
        SpringApplication.run(So54865968Application.class, args);
    }

    @Bean
    public ApplicationRunner runner(Foo foo) {
        return args -> {
            foo.runInTx();
            System.out.println("Committed 1");
            foo.runInLocalTx();
            System.out.println("Committed 2");
        };
    }

    @Bean
    public Foo foo(KafkaTemplate<String, Object> template) {
        return new Foo(template);
    }

    @Bean
    public Bar bar() {
        return new Bar();
    }

    @Bean
    public NewTopic topic1() {
        return new NewTopic("so54865968-1", 1, (short) 1);
    }

    @Bean
    public NewTopic topic2() {
        return new NewTopic("so54865968-2", 1, (short) 1);
    }

    public static class Foo {

        private final KafkaTemplate<String, Object> template;

        public Foo(KafkaTemplate<String, Object> template) {
            this.template = template;
        }

        @Transactional(transactionManager = "kafkaTransactionManager")
        public void runInTx() throws InterruptedException {
            this.template.send("so54865968-1", 42);
            this.template.send("so54865968-2", "texttest");
            System.out.println("Sent 2; waiting a few seconds to commit");
            Thread.sleep(5_000);
        }

        public void runInLocalTx() throws InterruptedException {
            this.template.executeInTransaction(t -> {
                t.send("so54865968-1", 43);
                t.send("so54865968-2", "texttest2");
                System.out.println("Sent 2; waiting a few seconds to commit");
                try {
                    Thread.sleep(5_000);
                }
                catch (InterruptedException e) {
                    Thread.currentThread().interrupt();
                }
                return true;
            });
        }

    }

    public static class Bar {

        @KafkaListener(id = "foo", topics = { "so54865968-1", "so54865968-2" })
        public void haandler(byte[] bytes) {
            if (bytes.length == 4) {
                ByteBuffer bb = ByteBuffer.wrap(bytes);
                System.out.println("Received int " + bb.getInt());
            }
            else {
                System.out.println("Received string " + new String(bytes));
            }
        }

    }

}

和

spring.kafka.producer.transaction-id-prefix=tx-id
spring.kafka.producer.properties.value.serializer=com.example.CompositeSerializer

spring.kafka.consumer.enable-auto-commit=false
spring.kafka.consumer.auto-offset-reset=earliest
spring.kafka.consumer.properties.isolation.level=read_committed
spring.kafka.consumer.properties.value.deserializer=org.apache.kafka.common.serialization.ByteArrayDeserializer

和

public class CompositeSerializer implements Serializer<Object> {

    private final StringSerializer stringSerializer = new StringSerializer();

    private final IntegerSerializer intSerializer = new IntegerSerializer();

    @Override
    public void configure(Map<String, ?> configs, boolean isKey) {
    }

    @Override
    public byte[] serialize(String topic, Object data) {
        return data instanceof Integer ? intSerializer.serialize(topic, (Integer) data)
                : stringSerializer.serialize(topic, (String) data);
    }

    @Override
    public void close() {
    }

}

和

Received int 42
Received string texttest

停顿 5 秒后，两人都出现了。

使用 Spring Kafka 在单个事务中写入两个 Kafka 主题

Write to two Kafka topics in a single transaction using Spring Kafka

java

apache-kafka

spring-boot

spring-kafka