Spring for Apache Kafka 2.1.0.RELEASE (and 1.3.2, 2.0.2) Available

December 01, 2017

I am pleased to announce the availability of Spring for Apache Kafka 2.1.0.RELEASE.

In addition, maintenance releases 1.3.2.RELEASE and 2.0.2.RELEASE are available, containing important bug fixes. See also below for information about spring-integration-kafka 3.0.0.RELEASE. It is recommended that all users upgrade.

The main purpose of the 2.1 release is to upgrade the kafka-clients library to 1.0.0, but we have included a few improvements:

Sometimes, when a message can’t be processed, you may wish to stop the container so the condition can be corrected and the message re-delivered. The framework now provides the ContainerStoppingErrorHandler for record listeners and ContainerStoppingBatchErrorHandler for batch listeners.
The KafkaAdmin now supports increasing partitions when a NewTopic bean is detected with a larger number of partitions than currently exist on the topic.
StringJsonMessageConverter and JsonSerializer/JsonDeserializer now pass and consume type information in Headers. This allows multiple types to be easily sent/received on the same topic:

@SpringBootApplication
public class Kafka21Application {

    public static void main(String[] args) {
        SpringApplication.run(Kafka21Application.class, args)
            .close();
    }

    @Bean
    public ApplicationRunner runner(KafkaTemplate<Object, Object> template) {
        return args -> {
            template.send(MessageBuilder.withPayload(42)
                    .setHeader(KafkaHeaders.TOPIC, "blog")
                    .build());
            template.send(MessageBuilder.withPayload("43")
                    .setHeader(KafkaHeaders.TOPIC, "blog")
                    .build());
            Thread.sleep(5_000);
        };
    }

    @Bean
    public StringJsonMessageConverter converter() {
        return new StringJsonMessageConverter();
    }

    @Component
    @KafkaListener(id = "multi", topics = "blog")
    public static class Listener {

        @KafkaHandler
        public void intListener(Integer in) {
            System.out.println("Got an int: " + in);
        }

        @KafkaHandler
        public void stringListener(String in) {
            System.out.println("Got a string: " + in);
        }

    }

}

Got an int: 42
Got a string: 43

The first time you run this app, you may need this property…

spring.kafka.consumer.auto-offset-reset=earliest

…in case the template sends the messages before the containers completely start.

In addition, the JsonSerializer and JsonDeserializer can be configured using kafka properties for the producer/consumer.

Important

In accordance with CVE-2017-4995, only classes in java.util and java.lang will be deserialized by default; to deserialize (trust) other packages, use the addTrustedPackages method on the deserializer or in a customized DefaultJackson2TypeMapper for the message converter. For the JsonDeserializer, the packages can be provided in the Kafka consumer config in property JsonDeserializer.TRUSTED_PACKAGES.

See the What’s New for complete information.

Finally, spring-integration-kafka 3.0.0.RELEASE is also available; it is based on Spring for Apache Kafka 2.1, Spring Integration 5.0, and Spring Framework 5.0; it requires Java 8 and has the following new feature:

Mapping of spring-messaging headers to/from Kafka Headers.

See the Project Page for a complete matrix of spring-kafka, spring-integration-kafka and kafka-clients version compatibility.

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