The Spring Framework provides extensive support for integrating with messaging systems,
from simplified use of the JMS API using JmsTemplate
to a complete infrastructure to
receive messages asynchronously. Spring AMQP provides a similar feature set for the
Advanced Message Queuing Protocol. Spring Boot also provides auto-configuration
options for RabbitTemplate
and RabbitMQ. Spring WebSocket natively includes support for
STOMP messaging, and Spring Boot has support for that through starters and a small amount
of auto-configuration. Spring Boot also has support for Apache Kafka.
The javax.jms.ConnectionFactory
interface provides a standard method of creating a
javax.jms.Connection
for interacting with a JMS broker. Although Spring needs a
ConnectionFactory
to work with JMS, you generally need not use it directly yourself and
can instead rely on higher level messaging abstractions. (See the
relevant section of the Spring Framework
reference documentation for details.) Spring Boot also auto-configures the necessary
infrastructure to send and receive messages.
When ActiveMQ is available on the classpath, Spring Boot can
also configure a ConnectionFactory
. If the broker is present, an embedded broker is
automatically started and configured (provided no broker URL is specified through
configuration).
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If you use |
ActiveMQ configuration is controlled by external configuration properties in
spring.activemq.*
. For example, you might declare the following section in
application.properties
:
spring.activemq.broker-url=tcp://192.168.1.210:9876 spring.activemq.user=admin spring.activemq.password=secret
By default, a CachingConnectionFactory
wraps the native ConnectionFactory
with
sensible settings that you can control by external configuration properties in
spring.jms.*
:
spring.jms.cache.session-cache-size=5
If you’d rather use native pooling, you can do so by adding a dependency to
org.messaginghub:pooled-jms
and configuring the JmsPoolConnectionFactory
accordingly,
as shown in the following example:
spring.activemq.pool.enabled=true spring.activemq.pool.max-connections=50
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See
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By default, ActiveMQ creates a destination if it does not yet exist so that destinations are resolved against their provided names.
Spring Boot can auto-configure a ConnectionFactory
when it detects that
Artemis is available on the classpath. If the broker
is present, an embedded broker is automatically started and configured (unless the mode
property has been explicitly set). The supported modes are embedded
(to make explicit
that an embedded broker is required and that an error should occur if the broker is not
available on the classpath) and native
(to connect to a broker using the netty
transport protocol). When the latter is configured, Spring Boot configures a
ConnectionFactory
that connects to a broker running on the local machine with the
default settings.
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If you use |
Artemis configuration is controlled by external configuration properties in
spring.artemis.*
. For example, you might declare the following section in
application.properties
:
spring.artemis.mode=native spring.artemis.host=192.168.1.210 spring.artemis.port=9876 spring.artemis.user=admin spring.artemis.password=secret
When embedding the broker, you can choose if you want to enable persistence and list the
destinations that should be made available. These can be specified as a comma-separated
list to create them with the default options, or you can define bean(s) of type
org.apache.activemq.artemis.jms.server.config.JMSQueueConfiguration
or
org.apache.activemq.artemis.jms.server.config.TopicConfiguration
, for advanced queue
and topic configurations, respectively.
By default, a CachingConnectionFactory
wraps the native ConnectionFactory
with
sensible settings that you can control by external configuration properties in
spring.jms.*
:
spring.jms.cache.session-cache-size=5
If you’d rather use native pooling, you can do so by adding a dependency to
org.messaginghub:pooled-jms
and configuring the JmsPoolConnectionFactory
accordingly,
as shown in the following example:
spring.artemis.pool.enabled=true spring.artemis.pool.max-connections=50
See
ArtemisProperties
for more supported options.
No JNDI lookup is involved, and destinations are resolved against their names, using
either the name
attribute in the Artemis configuration or the names provided through
configuration.
If you are running your application in an application server, Spring Boot tries to
locate a JMS ConnectionFactory
by using JNDI. By default, the java:/JmsXA
and
java:/XAConnectionFactory
location are checked. You can use the spring.jms.jndi-name
property if you need to specify an alternative location, as shown in the following
example:
spring.jms.jndi-name=java:/MyConnectionFactory
Spring’s JmsTemplate
is auto-configured, and you can autowire it directly into your own
beans, as shown in the following example:
import org.springframework.beans.factory.annotation.Autowired; import org.springframework.jms.core.JmsTemplate; import org.springframework.stereotype.Component; @Component public class MyBean { private final JmsTemplate jmsTemplate; @Autowired public MyBean(JmsTemplate jmsTemplate) { this.jmsTemplate = jmsTemplate; } // ... }
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When the JMS infrastructure is present, any bean can be annotated with @JmsListener
to
create a listener endpoint. If no JmsListenerContainerFactory
has been defined, a
default one is configured automatically. If a DestinationResolver
or a
MessageConverter
beans is defined, it is associated automatically to the default
factory.
By default, the default factory is transactional. If you run in an infrastructure where a
JtaTransactionManager
is present, it is associated to the listener container by default.
If not, the sessionTransacted
flag is enabled. In that latter scenario, you can
associate your local data store transaction to the processing of an incoming message by
adding @Transactional
on your listener method (or a delegate thereof). This ensures that
the incoming message is acknowledged, once the local transaction has completed. This also
includes sending response messages that have been performed on the same JMS session.
The following component creates a listener endpoint on the someQueue
destination:
@Component public class MyBean { @JmsListener(destination = "someQueue") public void processMessage(String content) { // ... } }
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See the Javadoc of |
If you need to create more JmsListenerContainerFactory
instances or if you want to
override the default, Spring Boot provides a
DefaultJmsListenerContainerFactoryConfigurer
that you can use to initialize a
DefaultJmsListenerContainerFactory
with the same settings as the one that is
auto-configured.
For instance, the following example exposes another factory that uses a specific
MessageConverter
:
@Configuration static class JmsConfiguration { @Bean public DefaultJmsListenerContainerFactory myFactory( DefaultJmsListenerContainerFactoryConfigurer configurer) { DefaultJmsListenerContainerFactory factory = new DefaultJmsListenerContainerFactory(); configurer.configure(factory, connectionFactory()); factory.setMessageConverter(myMessageConverter()); return factory; } }
Then you can use the factory in any @JmsListener
-annotated method as follows:
@Component public class MyBean { @JmsListener(destination = "someQueue", containerFactory="myFactory") public void processMessage(String content) { // ... } }
The Advanced Message Queuing Protocol (AMQP) is a platform-neutral, wire-level protocol
for message-oriented middleware. The Spring AMQP project applies core Spring concepts to
the development of AMQP-based messaging solutions. Spring Boot offers several conveniences
for working with AMQP through RabbitMQ, including the spring-boot-starter-amqp
“Starter”.
RabbitMQ is a lightweight, reliable, scalable, and portable
message broker based on the AMQP protocol. Spring uses RabbitMQ
to communicate through
the AMQP protocol.
RabbitMQ configuration is controlled by external configuration properties in
spring.rabbitmq.*
. For example, you might declare the following section in
application.properties
:
spring.rabbitmq.host=localhost spring.rabbitmq.port=5672 spring.rabbitmq.username=admin spring.rabbitmq.password=secret
If a ConnectionNameStrategy
bean exists in the context, it will be automatically used to
name connections created by the auto-configured ConnectionFactory
. See
RabbitProperties
for more
of the supported options.
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See Understanding AMQP, the protocol used by RabbitMQ for more details. |
Spring’s AmqpTemplate
and AmqpAdmin
are auto-configured, and you can autowire them
directly into your own beans, as shown in the following example:
import org.springframework.amqp.core.AmqpAdmin; import org.springframework.amqp.core.AmqpTemplate; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Component; @Component public class MyBean { private final AmqpAdmin amqpAdmin; private final AmqpTemplate amqpTemplate; @Autowired public MyBean(AmqpAdmin amqpAdmin, AmqpTemplate amqpTemplate) { this.amqpAdmin = amqpAdmin; this.amqpTemplate = amqpTemplate; } // ... }
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If necessary, any org.springframework.amqp.core.Queue
that is defined as a bean is
automatically used to declare a corresponding queue on the RabbitMQ instance.
To retry operations, you can enable retries on the AmqpTemplate
(for example, in the
event that the broker connection is lost):
spring.rabbitmq.template.retry.enabled=true spring.rabbitmq.template.retry.initial-interval=2s
Retries are disabled by default. You can also customize the RetryTemplate
programmatically by declaring a RabbitRetryTemplateCustomizer
bean.
When the Rabbit infrastructure is present, any bean can be annotated with
@RabbitListener
to create a listener endpoint. If no RabbitListenerContainerFactory
has been defined, a default SimpleRabbitListenerContainerFactory
is automatically
configured and you can switch to a direct container using the
spring.rabbitmq.listener.type
property. If a MessageConverter
or a MessageRecoverer
bean is defined, it is automatically associated with the default factory.
The following sample component creates a listener endpoint on the someQueue
queue:
@Component public class MyBean { @RabbitListener(queues = "someQueue") public void processMessage(String content) { // ... } }
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See the Javadoc of
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If you need to create more RabbitListenerContainerFactory
instances or if you want to
override the default, Spring Boot provides a
SimpleRabbitListenerContainerFactoryConfigurer
and a
DirectRabbitListenerContainerFactoryConfigurer
that you can use to initialize a
SimpleRabbitListenerContainerFactory
and a DirectRabbitListenerContainerFactory
with
the same settings as the factories used by the auto-configuration.
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It does not matter which container type you chose. Those two beans are exposed by the auto-configuration. |
For instance, the following configuration class exposes another factory that uses a
specific MessageConverter
:
@Configuration static class RabbitConfiguration { @Bean public SimpleRabbitListenerContainerFactory myFactory( SimpleRabbitListenerContainerFactoryConfigurer configurer) { SimpleRabbitListenerContainerFactory factory = new SimpleRabbitListenerContainerFactory(); configurer.configure(factory, connectionFactory); factory.setMessageConverter(myMessageConverter()); return factory; } }
Then you can use the factory in any @RabbitListener
-annotated method, as follows:
@Component public class MyBean { @RabbitListener(queues = "someQueue", containerFactory="myFactory") public void processMessage(String content) { // ... } }
You can enable retries to handle situations where your listener throws an exception. By
default, RejectAndDontRequeueRecoverer
is used, but you can define a MessageRecoverer
of your own. When retries are exhausted, the message is rejected and either dropped or
routed to a dead-letter exchange if the broker is configured to do so. By default,
retries are disabled. You can also customize the RetryTemplate
programmatically by
declaring a RabbitRetryTemplateCustomizer
bean.
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By default, if retries are disabled and the listener throws an exception, the
delivery is retried indefinitely. You can modify this behavior in two ways: Set the
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Apache Kafka is supported by providing auto-configuration of
the spring-kafka
project.
Kafka configuration is controlled by external configuration properties in
spring.kafka.*
. For example, you might declare the following section in
application.properties
:
spring.kafka.bootstrap-servers=localhost:9092 spring.kafka.consumer.group-id=myGroup
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To create a topic on startup, add a bean of type |
See KafkaProperties
for more supported options.
Spring’s KafkaTemplate
is auto-configured, and you can autowire it directly in your own
beans, as shown in the following example:
@Component public class MyBean { private final KafkaTemplate kafkaTemplate; @Autowired public MyBean(KafkaTemplate kafkaTemplate) { this.kafkaTemplate = kafkaTemplate; } // ... }
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If the property |
When the Apache Kafka infrastructure is present, any bean can be annotated with
@KafkaListener
to create a listener endpoint. If no KafkaListenerContainerFactory
has
been defined, a default one is automatically configured with keys defined in
spring.kafka.listener.*
.
The following component creates a listener endpoint on the someTopic
topic:
@Component public class MyBean { @KafkaListener(topics = "someTopic") public void processMessage(String content) { // ... } }
If a KafkaTransactionManager
bean is defined, it is automatically associated to the
container factory. Similarly, if a RecordMessageConverter
, ErrorHandler
or
AfterRollbackProcessor
bean is defined, it is automatically associated to the default
factory.
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A custom |
Spring for Apache Kafka provides a factory bean to create a StreamsBuilder
object and
manage the lifecycle of its streams. Spring Boot auto-configures the required
KafkaStreamsConfiguration
bean as long as kafka-streams
is on the classpath and Kafka
Streams is enabled via the @EnableKafkaStreams
annotation.
Enabling Kafka Streams means that the application id and bootstrap servers must be set.
The former can be configured using spring.kafka.streams.application-id
, defaulting to
spring.application.name
if not set. The latter can be set globally or
specifically overridden just for streams.
Several additional properties are available using dedicated properties; other arbitrary
Kafka properties can be set using the spring.kafka.streams.properties
namespace. See
also Section 32.3.4, “Additional Kafka Properties” for more information.
To use the factory bean, simply wire StreamsBuilder
into your @Bean
as shown in the
following example:
@Configuration @EnableKafkaStreams static class KafkaStreamsExampleConfiguration { @Bean public KStream<Integer, String> kStream(StreamsBuilder streamsBuilder) { KStream<Integer, String> stream = streamsBuilder.stream("ks1In"); stream.map((k, v) -> new KeyValue<>(k, v.toUpperCase())).to("ks1Out", Produced.with(Serdes.Integer(), new JsonSerde<>())); return stream; } }
By default, the streams managed by the StreamBuilder
object it creates are started
automatically. You can customize this behaviour using the
spring.kafka.streams.auto-startup
property.
The properties supported by auto configuration are shown in Appendix A, Common application properties. Note that, for the most part, these properties (hyphenated or camelCase) map directly to the Apache Kafka dotted properties. Refer to the Apache Kafka documentation for details.
The first few of these properties apply to all components (producers, consumers, admins, and streams) but can be specified at the component level if you wish to use different values. Apache Kafka designates properties with an importance of HIGH, MEDIUM, or LOW. Spring Boot auto-configuration supports all HIGH importance properties, some selected MEDIUM and LOW properties, and any properties that do not have a default value.
Only a subset of the properties supported by Kafka are available directly through the
KafkaProperties
class. If you wish to configure the producer or consumer with additional
properties that are not directly supported, use the following properties:
spring.kafka.properties.prop.one=first spring.kafka.admin.properties.prop.two=second spring.kafka.consumer.properties.prop.three=third spring.kafka.producer.properties.prop.four=fourth spring.kafka.streams.properties.prop.five=fifth
This sets the common prop.one
Kafka property to first
(applies to producers,
consumers and admins), the prop.two
admin property to second
, the prop.three
consumer property to third
, the prop.four
producer property to fourth
and the
prop.five
streams property to fifth
.
You can also configure the Spring Kafka JsonDeserializer
as follows:
spring.kafka.consumer.value-deserializer=org.springframework.kafka.support.serializer.JsonDeserializer spring.kafka.consumer.properties.spring.json.value.default.type=com.example.Invoice spring.kafka.consumer.properties.spring.json.trusted.packages=com.example,org.acme
Similarly, you can disable the JsonSerializer
default behavior of sending type
information in headers:
spring.kafka.producer.value-serializer=org.springframework.kafka.support.serializer.JsonSerializer spring.kafka.producer.properties.spring.json.add.type.headers=false
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Properties set in this way override any configuration item that Spring Boot explicitly supports. |