This part of the reference shows how to use the spring-integration-kafka module of Spring Integration.
This documentation pertains to versions 2.0.0 and above; for documentation for earlier releases, see the 1.3.x README.
Spring Integration Kafka is now based on the Spring for Apache Kafka project. It provides the following components:
The Outbound channel adapter is used to publish messages from a Spring Integration channel to Kafka topics.
The channel is defined in the application context and then wired into the application that sends messages to Kafka.
Sender applications can publish to Kafka via Spring Integration messages, which are internally converted
to Kafka messages by the outbound channel adapter, as follows: the payload of the Spring Integration message will be
used to populate the payload of the Kafka message, and (by default) the kafka_messageKey header of the Spring
Integration message will be used to populate the key of the Kafka message.
The target topic and partition for publishing the message can be customized through the kafka_topic
and kafka_partitionId headers, respectively.
In addition, the <int-kafka:outbound-channel-adapter> provides the ability to extract the key, target topic, and
target partition by applying SpEL expressions on the outbound message. To that end, it supports the mutually exclusive
pairs of attributes topic/topic-expression, message-key/message-key-expression, and
partition-id/partition-id-expression, to allow the specification of topic,message-key and partition-id
respectively as static values on the adapter, or to dynamically evaluate their values at runtime against
the request message.
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NOTE : If the adapter is configured with a topic or message key (either with a constant or expression), those are used and the corresponding header is ignored. If you wish the header to override the configuration, you need to configure it in an expression, such as:
topic-expression="headers['topic'] != null ? headers['topic'] : 'myTopic'".
The adapter requires a KafkaTemplate.
Here is an example of how the Kafka outbound channel adapter is configured with XML:
<int-kafka:outbound-channel-adapter id="kafkaOutboundChannelAdapter" kafka-template="template" auto-startup="false" channel="inputToKafka" topic="foo" sync="false" message-key-expression="'bar'" send-failure-channel="failures" send-success-channel="successes" error-message-strategy="ems" partition-id-expression="2"> </int-kafka:outbound-channel-adapter> <bean id="template" class="org.springframework.kafka.core.KafkaTemplate"> <constructor-arg> <bean class="org.springframework.kafka.core.DefaultKafkaProducerFactory"> <constructor-arg> <map> <entry key="bootstrap.servers" value="localhost:9092" /> ... <!-- more producer properties --> </map> </constructor-arg> </bean> </constructor-arg> </bean>
As you can see, the adapter requires a KafkaTemplate which, in turn, requires a suitably configured KafkaProducerFactory.
When using Java Configuration:
@Bean @ServiceActivator(inputChannel = "toKafka") public MessageHandler handler() throws Exception { KafkaProducerMessageHandler<String, String> handler = new KafkaProducerMessageHandler<>(kafkaTemplate()); handler.setTopicExpression(new LiteralExpression("someTopic")); handler.setMessageKeyExpression(new LiteralExpression("someKey")); handler.setFailureChannel(failures()); return handler; } @Bean public KafkaTemplate<String, String> kafkaTemplate() { return new KafkaTemplate<>(producerFactory()); } @Bean public ProducerFactory<String, String> producerFactory() { Map<String, Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, this.brokerAddress); // set more properties return new DefaultKafkaProducerFactory<>(props); }
When using Spring Integration Java DSL:
@Bean public ProducerFactory<Integer, String> producerFactory() { return new DefaultKafkaProducerFactory<>(KafkaTestUtils.producerProps(embeddedKafka)); } @Bean public IntegrationFlow sendToKafkaFlow() { return f -> f .<String>split(p -> Stream.generate(() -> p).limit(101).iterator(), null) .publishSubscribeChannel(c -> c .subscribe(sf -> sf.handle( kafkaMessageHandler(producerFactory(), TEST_TOPIC1) .timestampExpression("T(Long).valueOf('1487694048633')"), e -> e.id("kafkaProducer1"))) .subscribe(sf -> sf.handle( kafkaMessageHandler(producerFactory(), TEST_TOPIC2) .timestamp(m -> 1487694048644L), e -> e.id("kafkaProducer2"))) ); } @Bean public DefaultKafkaHeaderMapper mapper() { return new DefaultKafkaHeaderMapper(); } private KafkaProducerMessageHandlerSpec<Integer, String, ?> kafkaMessageHandler( ProducerFactory<Integer, String> producerFactory, String topic) { return Kafka .outboundChannelAdapter(producerFactory) .messageKey(m -> m .getHeaders() .get(IntegrationMessageHeaderAccessor.SEQUENCE_NUMBER)) .headerMapper(mapper()) .partitionId(m -> 10) .topicExpression("headers[kafka_topic] ?: '" + topic + "'") .configureKafkaTemplate(t -> t.id("kafkaTemplate:" + topic)); }
If a send-failure-channel is provided, if a send failure is received (sync or async), an ErrorMessage is sent to the channel.
The payload is a KafkaSendFailureException with properties failedMessage, record (the ProducerRecord) and cause.
The DefaultErrorMessageStrategy can be overridden via the error-message-strategy property.
If a send-success-channel is provided, a message with a payload of type org.apache.kafka.clients.producer.RecordMetadata will be sent after a successful send.
When using Java configuration, use setOutputChannel for this purpose.
The KafkaMessageDrivenChannelAdapter (<int-kafka:message-driven-channel-adapter>) uses a spring-kafka KafkaMessageListenerContainer or ConcurrentListenerContainer.
Starting with spring-integration-kafka version 2.1, the mode attribute is available (record or batch, default record).
For record mode, each message payload is converted from a single ConsumerRecord; for mode batch the payload is a list of objects which are converted from all the ConsumerRecord s returned by the consumer poll.
As with the batched @KafkaListener, the KafkaHeaders.RECEIVED_MESSAGE_KEY, KafkaHeaders.RECEIVED_PARTITION_ID, KafkaHeaders.RECEIVED_TOPIC and KafkaHeaders.OFFSET headers are also lists with, positions corresponding to the position in the payload.
An example of xml configuration variant is shown here:
<int-kafka:message-driven-channel-adapter id="kafkaListener" listener-container="container1" auto-startup="false" phase="100" send-timeout="5000" mode="record" retry-template="template" recovery-callback="callback" error-message-strategy="ems" channel="someChannel" error-channel="errorChannel" /> <bean id="container1" class="org.springframework.kafka.listener.KafkaMessageListenerContainer"> <constructor-arg> <bean class="org.springframework.kafka.core.DefaultKafkaConsumerFactory"> <constructor-arg> <map> <entry key="bootstrap.servers" value="localhost:9092" /> ... </map> </constructor-arg> </bean> </constructor-arg> <constructor-arg> <bean class="org.springframework.kafka.listener.config.ContainerProperties"> <constructor-arg name="topics" value="foo" /> </bean> </constructor-arg> </bean>
When using Java Configuration:
@Bean public KafkaMessageDrivenChannelAdapter<String, String> adapter(KafkaMessageListenerContainer<String, String> container) { KafkaMessageDrivenChannelAdapter<String, String> kafkaMessageDrivenChannelAdapter = new KafkaMessageDrivenChannelAdapter<>(container, ListenerMode.record); kafkaMessageDrivenChannelAdapter.setOutputChannel(received()); return kafkaMessageDrivenChannelAdapter; } @Bean public KafkaMessageListenerContainer<String, String> container() throws Exception { ContainerProperties properties = new ContainerProperties(this.topic); // set more properties return new KafkaMessageListenerContainer<>(consumerFactory(), properties); } @Bean public ConsumerFactory<String, String> consumerFactory() { Map<String, Object> props = new HashMap<>(); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, this.brokerAddress); // set more properties return new DefaultKafkaConsumerFactory<>(props); }
When using Spring Integration Java DSL:
@Bean public IntegrationFlow topic1ListenerFromKafkaFlow() { return IntegrationFlows .from(Kafka.messageDrivenChannelAdapter(consumerFactory(), KafkaMessageDrivenChannelAdapter.ListenerMode.record, TEST_TOPIC1) .configureListenerContainer(c -> c.ackMode(AbstractMessageListenerContainer.AckMode.MANUAL) .id("topic1ListenerContainer")) .recoveryCallback(new ErrorMessageSendingRecoverer(errorChannel(), new RawRecordHeaderErrorMessageStrategy())) .retryTemplate(new RetryTemplate()) .filterInRetry(true)) .filter(Message.class, m -> m.getHeaders().get(KafkaHeaders.RECEIVED_MESSAGE_KEY, Integer.class) < 101, f -> f.throwExceptionOnRejection(true)) .<String, String>transform(String::toUpperCase) .channel(c -> c.queue("listeningFromKafkaResults1")) .get(); }
Received messages will have certain headers populated.
Refer to the KafkaHeaders class for more information.
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When a retry-template is provided, delivery failures will be retried according to its retry policy.
An error-channel is not allowed in this case.
The recovery-callback can be used to handle the error when retries are exhausted.
In most cases, this will be an ErrorMessageSendingRecoverer which will send the ErrorMessage to a channel.
When building ErrorMessage (for use in the error-channel or recovery-callback), you can customize the error message using the error-message-strategy property.
By default, a RawRecordHeaderErrorMessageStrategy is used; providing access to the converted message as well as the raw ConsumerRecord.
The outbound gateway is for request/reply operations; it is different to most Spring Integration gateways in that the sending thread does not block in the gateway, the reply is processed on the reply listener container thread. Of course, if user code invokes the gateway behind a synchronous Messaging Gateway, the user thread will block there until the reply is received (or a timeout occurs).
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the gateway will not accept requests until the reply container has been assigned its topics and partitions.
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Here is an example of configuring a gateway, with Java Configuration:
@Bean @ServiceActivator(inputChannel = "kafkaRequests", outputChannel = "kafkaReplies") public KafkaProducerMessageHandler<String, String> outGateway( ReplyingKafkaTemplate<String, String, String> kafkaTemplate) { return new KafkaProducerMessageHandler<>(kafkaTemplate); }
Notice that the same class as the outbound channel adapter is used, the only difference being that the kafka template passed into the constructor is a ReplyingKafkaTemplate - see the section called “ReplyingKafkaTemplate” for more information.
The outbound topic, partition, key etc, are determined the same way as the outbound adapter. The reply topic is determined as follows:
KafkaHeaders.REPLY_TOPIC, if present (must have a String or byte[] value) - validated against the template’s reply container subscribed topics.
replyContainer is subscribed to just one topic, it will be used.
You can also specify a KafkaHeaders.REPLY_PARTITION header to determine a specific partition to be used for replies.
Again, this is validated against the template’s reply container subscriptions.
Configuring with the Java DSL:
@Bean public IntegrationFlow outboundGateFlow( ReplyingKafkaTemplate<String, String, String> kafkaTemplate) { return IntegrationFlows.from("kafkaRequests") .handle(Kafka.outboundGateway(kafkaTemplate)) .channel("kafkaReplies") .get(); }
Or:
@Bean public IntegrationFlow outboundGateFlow() { return IntegrationFlows.from("kafkaRequests") .handle(Kafka.outboundGateway(producerFactory(), replyContainer()) .configureKafkaTemplate(t -> t.replyTimeout(30_000))) .channel("kafkaReplies") .get(); }
XML configuration is not currently available for this component.
The inbound gateway is for request/reply operations.
Configuring an inbound gateway with Java Configuration:
@Bean public KafkaInboundGateway<Integer, String, String> inboundGateway( AbstractMessageListenerContainer<Integer, String>container, KafkaTemplate<Integer, String> replyTemplate) { KafkaInboundGateway<Integer, String, String> gateway = new KafkaInboundGateway<>(container, replyTemplate); gateway.setRequestChannel(requests); gateway.setReplyChannel(replies); gateway.setReplyTimeout(30_000); return gateway; }
Configuring a simple upper case converter with the Java DSL:
@Bean public IntegrationFlow serverGateway( ConcurrentMessageListenerContainer<Integer, String> container, KafkaTemplate<Integer, String> replyTemplate) { return IntegrationFlows .from(Kafka.inboundGateway(container, template) .replyTimeout(30_000)) .<String, String>transform(String::toUpperCase) .get(); }
Or:
@Bean public IntegrationFlow serverGateway() { return IntegrationFlows .from(Kafka.inboundGateway(consumerFactory(), containerProperties(), producerFactory()) .replyTimeout(30_000)) .<String, String>transform(String::toUpperCase) .get(); }
XML configuration is not currently available for this component.
A StringJsonMessageConverter is provided, see Section 4.1.5, “Serialization/Deserialization and Message Conversion” for more information.
When using this converter with a message-driven channel adapter, you can specify the type to which you want the incoming payload to be converted.
This is achieved by setting the payload-type attribute (payloadType property) on the adapter.
<int-kafka:message-driven-channel-adapter id="kafkaListener" listener-container="container1" auto-startup="false" phase="100" send-timeout="5000" channel="nullChannel" message-converter="messageConverter" payload-type="com.example.Foo" error-channel="errorChannel" /> <bean id="messageConverter" class="org.springframework.kafka.support.converter.MessagingMessageConverter"/>
@Bean public KafkaMessageDrivenChannelAdapter<String, String> adapter(KafkaMessageListenerContainer<String, String> container) { KafkaMessageDrivenChannelAdapter<String, String> kafkaMessageDrivenChannelAdapter = new KafkaMessageDrivenChannelAdapter<>(container, ListenerMode.record); kafkaMessageDrivenChannelAdapter.setOutputChannel(received()); kafkaMessageDrivenChannelAdapter.setMessageConverter(converter()); kafkaMessageDrivenChannelAdapter.setPayloadType(Foo.class); return kafkaMessageDrivenChannelAdapter; }
See the Spring for Apache Kafka Project Page for a matrix of compatible spring-kafka and kafka-clients versions.
The 2.1.x branch introduced the following changes:
spring-kafka 1.1.x; including support of batch payloads
sync outbound requests via XML configuration
payload-type for inbound channel adapters
The 2.3.x branch introduced the following changes:
spring-kafka 1.3.x; including support for transactions and header mapping provided by kafka-clients 0.11.0.0