This document discusses messaging in the cloud using AMQP, RabbitMQ, and Spring. It provides an overview of why AMQP is useful for interoperability and efficiency. Key aspects of AMQP include exchanges, queues, bindings, and routing keys. The document also explains how Spring enables configuration of RabbitMQ resources like connections, exchanges, and queues through dependency injection. Spring templates provide a common interface for sending and receiving messages while managing resources.
AMQP (Advanced Message Queuing Protocol) is an open standard protocol for message queuing that aims to provide interoperability between platforms and vendors. It defines a wire-level protocol for message passing that can be implemented by different technologies, unlike proprietary middleware which is locked to specific platforms. AMQP includes concepts like exchanges, bindings, queues, and different exchange types (fanout, direct, topic) to route messages from publishers to subscribers in a decoupled manner. Several open source and commercial brokers like RabbitMQ and Qpid implement the AMQP standard.
This document discusses AMQP and RabbitMQ for messaging. AMQP is a networking protocol that enables client applications to communicate with messaging middleware brokers. Brokers receive messages from publishers and route them to consumers. RabbitMQ is an open source message broker that implements AMQP. It discusses using RabbitMQ with various languages like Ruby via libraries like Bunny. It provides examples of broker types, exchanges and queues.
Easy enterprise application integration with RabbitMQ and AMQPRabbit MQ
VMware vFabric RabbitMQ Technical Webinar December 2010 by VMware engineer Emile Joubert. Covers common integration patterns, and how RabbitMQ makes these easily implemented, using AMQP as a communications mechanism.
You can view a recording of this presentation on YouTube: http://www.youtube.com/user/SpringSourceDev#p/c/5956C6D9EC319817/0/ABGMjX4K0D8
Internet companies with huge traffic and millions of users have tasks involved that cannot be served in a request. RabbitMQ can process tasks or communication between different app components asynchronously but close to real time.
The document discusses distributed messaging using AMQP and RabbitMQ. It provides an overview of AMQP, including the service model with exchanges, queues, bindings and publishers/consumers. Different exchange types like direct, topic and headers are demonstrated. The AMQP protocol layers and wire protocol are also summarized.
This document introduces AMQP messaging using RabbitMQ as a broker. It explains that AMQP and RabbitMQ allow applications to communicate asynchronously by sending and receiving messages through a broker, providing decoupling, queueing, load balancing and scalability. It provides details on RabbitMQ as an open source AMQP broker developed by Rabbit Technologies and the AMQP Working Group which maintains the AMQP standard.
This document discusses RabbitMQ and Apache Kafka. It provides an overview of AMQP and how it defines features like message orientation, queuing, routing, security and reliability. It also describes RabbitMQ concepts like exchanges, queues, routing and plugins. For Apache Kafka, it explains how it is distributed, replicated and uses commit logs and topics to store messages. It then discusses reliability, performance, clustering and high availability aspects of RabbitMQ and Kafka.
This document provides an overview of key concepts in RabbitMQ including asynchronous and reliable message passing, flexible routing using exchanges and queues, and different exchange types like direct, topic, fanout and headers exchanges. It also discusses message acknowledgments, durability, fair dispatch and bindings between exchanges and queues.
This document provides an overview of RabbitMQ internals, performance, and clustering. It discusses RabbitMQ message consumption alternatives like push and pull APIs. It covers how acknowledgments and prefetching can impact performance. It also describes how RabbitMQ handles flow control on the publisher side and consumer utilization on the consumer side to detect bottlenecks. Additionally, it discusses how RabbitMQ uses alarms and resource thresholds related to memory and disk usage for flow control triggers. Finally, it notes that queues perform best when empty or near-empty to avoid overhead from queue length.
RabbitMQ and Apache Kafka are two popular messaging systems. RabbitMQ uses a push model where consumers register interest in queues and brokers push messages. It offers low latency but requires back pressure. Kafka uses a pull model where consumers pull messages from topics in batches. This improves throughput but can affect processing order. Both systems provide reliability through mechanisms like persistent messages, clustering, and mirrors/replicas. However, RabbitMQ prioritizes low latency while Kafka prioritizes high throughput.
This document provides an overview of the Advanced Message Queuing Protocol (AMQP) for message brokering. It describes the key components of the AMQP model including exchanges, queues, bindings and publishers/consumers. Different exchange types - direct, fanout, topic and headers - are explained with examples. The benefits of AMQP for stable, mature, widely supported message passing are noted. The document also describes how the topic exchange can provide flexibility to route messages in multiple ways based on filtering criteria. In the end, it provides an example of how AMQP with a message broker like RabbitMQ could be used to implement a more robust event logging architecture.
AMQP 1.0 is a standard messaging protocol that allows for secure, reliable message transfer between applications. It uses a layered model with a transport/connection security layer, frame transfer protocol, and message transfer protocol. Messages are transferred between nodes organized in a container/node topology. The core protocol elements include connections, sessions to multiplex communication over connections, and links to transfer messages between nodes. Flow control manages message throughput at both the session and link level. Data is encoded on the wire using AMQP's type system which defines primitive types like strings, numbers, and composite types.
AMQP and RabbitMQ (OKCJUG, January 2014)Ryan Hoegg
The document discusses AMQP messaging and RabbitMQ. AMQP defines a networking protocol and semantics for message brokers. Messages have a payload and attributes. Brokers accept messages from publishers and deliver them to consumers. Messages can be routed to queues using different exchange types like fanout, direct, or topic-based on binding rules and optional routing keys. RabbitMQ is an open source message broker that supports queue declarations, bindings, clustering, high availability, and management tools.
Watch the full lecture on YouTube: https://www.youtube.com/watch?v=8Zf4zTatQYA&list=PLDUzG2yLXrU4Lz33ZzSdHyfqdHJ8Zum5A
In this talk Gavin will cover AMQP in the context of its use in RabbitMQ with a premise that if you don't fully understand AMQP, you don't understand RabbitMQ. Gavin will discuss the by-directional RPC behaviour, connections, channels, objects, methods, and properties.
--
The first RabbitMQ Summit connected RabbitMQ users and developers from around the world in London on November 12, 2018. Learn what's happening in and around RabbitMQ, and how top companies utilize RabbitMQ to power their services.
https://www.rabbitmqsummit.com
RabbitMQ Summit was organized by:
- Erlang Solutions, offering world-leading RabbitMQ Consultancy, Support, Health Checks & Tuning solutions https://www.erlang-solutions.com/
- CloudAMQP, offering fully managed RabbitMQ clusters https://www.cloudamqp.com
RabbitMQ Summit 2018 was sponsored by the following companies.
Platinum sponsors:
Pivotal
LShift
Gold sponors:
Trifork
AWS
Silver sponsor:
Cogin Queue Explorer
RabbitMQ is an open source message broker that implements the AMQP protocol. It provides various messaging patterns using different exchange types and supports clustering for scalability and high availability. Administration of RabbitMQ includes managing queues, exchanges, bindings and other components. Integrations exist for protocols like STOMP, MQTT and frameworks like Spring, while security features include authentication, authorization, and SSL/TLS encryption.
Messaging Standards and Systems - AMQP & RabbitMQAll Things Open
All Things Open 2014 - Day 1
Wednesday, October 22nd, 2014
Gavin Roy
VP of Architecture for AWeber Communications
Back Dev
Messaging Standards and Systems - AMQP & RabbitMQ
Find more by Gavin here: https://speakerdeck.com/gmr
This document discusses RabbitMQ, an open source message broker. It provides the following key points:
1. RabbitMQ accepts messages from publishers and forwards them to queues for consumers to receive asynchronously. This decouples publishers and consumers and provides load balancing and scalability.
2. RabbitMQ supports message durability, routing, clustering for high availability, and has clients for many platforms. It uses AMQP for communication and has a management UI.
3. In RabbitMQ, publishers connect to exchanges, which route messages to queues based on bindings and exchange type (direct or fanout). Consumers then pull messages from queues. This asynchronous queuing approach allows distributed applications over heterogeneous platforms.
Let's learn about :
What is RabbitMQ ?
Why RabbitMQ ?
RabbitMQ vs Kafka ? Which one is suitable for your purpose.
Advantages of RabbitMQ
Support By RabbitMQ
RabbitMQ is one part of Message Broker that implemented Advance Message Queue Protocol (AMQP), that help your application to communicate each other, when you extends your application scale.
A presentation from internal meeting on Message Broker System and RabbitMQ. RabbitMQ is open source message broker software that implements the Advanced Message Queuing Protocol (AMQP).
RabbitMQ is an open source message broker that implements the AMQP protocol for facilitating asynchronous messaging. Nanite is a self-assembling system of Ruby daemons that uses RabbitMQ for messaging and is composed of mappers, agents, and actors to distribute tasks. Agents in Nanite register themselves with mappers and advertise their services to process messages. While Nanite provides a scalable solution, its documentation is limited and test suite is not robust.
1) RabbitMQ is an open source message broker software that implements the Advanced Message Queuing Protocol (AMQP). AMQP was developed by banks to facilitate communication and is supported by many brokers and languages.
2) RabbitMQ uses exchanges, queues, and bindings to route messages from producers to consumers. Different exchange types (direct, topic, fanout, header) determine how message routing occurs.
3) The Ruby ecosystem has several libraries for working with AMQP and RabbitMQ, including tmm1-amqp which uses EventMachine and carrot/bunny which use a synchronous approach.
Developing real-time data pipelines with Spring and Kafkamarius_bogoevici
Talk given at the Apache Kafka NYC Meetup, October 20, 2015.
http://www.meetup.com/Apache-Kafka-NYC/events/225697500/
Kafka has emerged as a clear choice for a high-throughput, low latency messaging system that addresses the needs of high-performance streaming applications. The Spring Framework has been, in the last decade, the de-facto standard for developing enterprise Java applications, providing a simple and powerful programming model that allows developers to focus on the business needs, leaving the boilerplate and middleware integration to the framework itself. In fact, it has evolved into a rich and powerful ecosystem, with projects focusing on specific aspects of enterprise software development - like Spring Boot, Spring Data, Spring Integration, Spring XD, Spring Cloud Stream/Data Flow to name just a few.
In this presentation, Marius Bogoevici from the Spring team will take the perspective of the Kafka user, and show, with live demos, how the various projects in the Spring ecosystem address their needs:
- how to build simple data integration applications using Spring Integration Kafka;
- how to build sophisticated data pipelines with Spring XD and Kafka;
- how to build cloud native message-driven microservices using Spring Cloud Stream and Kafka, and how to orchestrate them using Spring Cloud Data Flow;
- RabbitMQ is an open-source message broker that can ingest data from various protocols and distribute it globally using federation.
- Federation allows replication of exchanges and queues across different RabbitMQ clusters. This can distribute data worldwide but only replicates necessary messages.
- To scale, queues can be sharded across nodes using consistent hashing and naming conventions. Load can also be balanced using federated queues that move messages between clusters as needed.
1. The document describes a Docker implementation of NetflixOSS microservices on IBM SoftLayer.
2. Key aspects discussed include networking Docker containers across multiple SoftLayer datacenters, managing the Docker API across multiple hosts, and integrating Docker images with SoftLayer image management.
3. Lessons learned include the need for a proxy for the Docker remote API across multiple hosts, and approaches for keeping Docker advantages like image portability when integrating with an IaaS platform.
Christian Posta is a principal middleware specialist and architect who has worked with large microservices architectures. He discusses why companies are moving to microservices and cloud platforms like Kubernetes and OpenShift. He covers characteristics of microservices like small autonomous teams and decentralized decision making. Posta also discusses breaking applications into independent services, shedding dependencies between teams, and using contracts and APIs for communication between services.
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ZeroMQ provides a simple way to build distributed systems without relying on heavyweight message brokers. It uses a messaging model where messages are atomic and can be routed between applications. ZeroMQ avoids many of the complexities of traditional message queues and makes it easy to implement common distributed patterns like request-reply, publish-subscribe, and routing in a variety of programming languages using simple socket-like APIs.
Rabbit MQ is a message broker software that implements the Advanced Message Queuing Protocol (AMQP) standard. It allows for push-style communication where the server initiates transactions by sending messages to clients. Rabbit MQ supports publish/subscribe and queuing of messages across platforms. It provides reliability, security, and scalability for message delivery. Common uses of Rabbit MQ include notifications, messaging, and communication between services.
It didn't come as a total surprise that Microsoft was going to stop its support for Service Bus for Windows Server. But now we're left in a void when it comes to on-premises queueing. Where MSMQ isn't really an alternative, RabbitMQ does seem to be. It might even have always been the better alternative for on-premises queuing anyway. This talk is meant to get people introduced to RabbitMQ and its capabilities. What is RabbitMQ, how does it work, and how is it different from Service Bus for Windows Server? Those are just a couple of questions I'll try to answer during this session.
Many businesses are faced with some new messaging challenges for modern applications, such as horizontal scalability of the messaging tier, heterogeneous messaging systems and access methods, and extreme transaction processing. This presentation/demo will cover how businesses can overcome these messaging challenges with the use of Spring and RabbitMQ technologies. Tom will build a case for AMQP, explain how SpringSource is providing AMQP support via Spring AMQP and Spring Integration, explain how RabbitMQ is a modern messaging solution that offers a reliable, highly available, scalable and portable messaging system with predictable and consistent throughput and latency, and demonstrate how Spring Integration and RabbitMQ can be progressively introduced into a standard Spring web application deployed on Cloud Foundry.
RabbitMQ is an open source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. Flows in Mule can send messages to queues via exchanges and receive messages from queues via exchanges, as demonstrated using direct exchanges to send a message to a queue and receive it.
RabbitMQ is an open source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. Flows in Mule can send messages to queues via exchanges and receive messages from queues via exchanges, as demonstrated using a direct exchange to send a message to a queue and have another flow receive it.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. It can send and receive messages to/from RabbitMQ queues using different exchange types like direct exchanges as demonstrated in the example config with two flows, one to send and one to receive a message.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. It can send and receive messages to/from RabbitMQ queues using different exchange types like direct exchanges as demonstrated in the example config with two flows, one to send and one to receive a message.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. It can send and receive messages to/from RabbitMQ queues using different exchange types like direct exchanges as demonstrated in the example config with two flows, one to send and one to receive a message.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. It can send and receive messages to/from RabbitMQ queues using different exchange types like direct exchanges as demonstrated in the example config with two flows, one to send and one to receive a message.
This document introduces RabbitMQ, an open source message broker. It discusses common use cases for RabbitMQ including application decoupling and asynchronous communication. The architecture of RabbitMQ is explained, including producers that send messages, consumers that receive messages, exchanges that route messages, and queues that buffer messages. Different types of exchanges like direct, topic and fanout exchanges are described. A demo is shown of producers sending mail and SMS messages to appropriate queues via the default and topic exchanges. Monitoring and management of RabbitMQ is also briefly covered.
RabbitMQ is an open source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. Flows in Mule can send messages to and receive messages from RabbitMQ queues via exchanges. For example, one flow may send a message to a queue using a direct exchange, while a second flow receives from the same queue via the direct exchange.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. Flows in Mule can send messages to queues via exchanges and receive messages from queues via exchanges to integrate with RabbitMQ.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or patterns. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. Flows in Mule can send messages to and receive messages from RabbitMQ queues via exchanges. For example, one flow may send a message to a queue using a direct exchange, while a receiving flow gets messages from the same queue via the direct exchange.
This document discusses ZeroMQ, an open-source library that provides a concurrency framework and messaging system. It allows for asynchronous message passing between applications with support for 20+ programming languages. ZeroMQ abstracts away low-level socket details and supports patterns like request/response, publish/subscribe, and routing via different socket types. It can scale to multi-core systems and has demonstrated throughput of over 6 million messages per second on an 8-core machine.
RabbitMQ is an open source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. The direct exchange routes messages to queues based on an exact match between the routing key and binding key.
This document discusses messaging and RabbitMQ. It begins by introducing messaging and explaining why it is becoming more important for applications. It then discusses how RabbitMQ can be used in cloud computing as the "nervous system" of clouds. Several use cases for messaging protocols are presented, including decoupling of components, pipelining and combining messages with records in a database, and work distribution through duplication and round-robin delivery to multiple consumers.
This document discusses messaging and RabbitMQ. It begins by introducing messaging and explaining why it is becoming more important for applications. It then discusses how RabbitMQ can be used in cloud computing as the "nervous system" of clouds. Several use cases for messaging protocols are presented, including decoupling components, remote procedure calls, pipelining and combining messages with database records, and work distribution through duplication and round-robin delivery to multiple consumers.
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2. Messaging in the Cloud
Need new levels of scalability
Need a standardized wire protocol
• Won't ship a specific client for each environment
• Better interoperability
JMS only defines an API and behavior, but no protocol
AMQP defines a protocol
2
3. Why AMQP?
Interoperability – like TCP and unlike JMS
• RabbitMQ leading the 2009 interoperability push around AMQP 0-9-1 towards
AMQP 1.0
Multiple vendors on one open, royalty-free standard
• You are not locked in
• Lower risk, lower price because of competition, easier to compare
• Products specialized around different areas of value e.g low latency, high
stability, wide area
Efficient – designed for today’s pubsub and queueing needs
• Binary wire protocol
• Support in all major languages
• Supported on most OS platforms
Already in use by many major companies
Future proof – backed by Cisco, Microsoft, VMware and many more
3
5. RabbitMQ is used a lot in the Amazon Cloud
RabbitMQ preferred to Amazon SQS
5
6. Key AMQP messaging protocol requirements
Internet protocol - like HTTP, TCP - but ASYNCHRONOUS
Ubiquity: Open, easy & low barrier to use, understand and
implement
Safety: Secure and trusted global transaction network
Fidelity: Well-stated message queuing, ordering and delivery
semantics
Applicability: any broker can talk to any client, support common
messaging pattern and topologies
Interoperability
Manageability: Binary, scalable
6
7. AMQP
in
a
nutshell
Different
languages
Ruby, Java
…
C
P X
C
P X
C
AMQP AMQP
protocol protocol
7
8. Exchange Types: Matching Algorithms
Direct
• Routes on a routing key
• Two direct exchanges always exist
• amq.direct and the default exchange (with no public name) are mandatory
Topic
• Routes on a routing pattern
• amq.direct is mandatory if the server supports topic exchanges
• Which it should according to the spec (whereas direct and fanout must be supported)
Fanout
• Simple broadcast to all bound queues (no args when binding). Fast
• amq.fanout is mandatory
Any Exchange that routes Messages to more than one
queue will create multiple instances of the Message.
8
9. AMQP in more detail
Messages are stateless
C
P X
C
P X
C
9
10. AMQP in more detail
Queues buffer messages for
Exchanges are push to consumers
X
stateless routing
tables. Queues are stateful, ordered,
and can be persistent, transient,
private, shared.
Order might change if messages
are redelivered
C
P X
C
P X
C
10
11. AMQP in more detail
Queues are bound to named exchanges
Binding can have a pattern e.g. “tony” (direct exchange)
or “*.ibm.*” (topic exchange)
C
P X
C
P X
C
11
12. AMQP in more detail
P
Producers send messages to exchanges with routing
key e.g. “tony”, or ordered set of keys e.g.
“buy.ibm.nyse”
Exchanges route messages to queues whose binding
X
pattern matches the message routing key or keys
C
P X
C
P X
C
12
13. Twi1er
style
pubsub
message
flow
C Anders
is at
P X work is at
work
Tony P X
is at is at is at
work work work C Evan
Evan and Anders want to follow what Tony says:
• bind queues to a RabbitMQ exchange
• pattern “tony”.
Tony publishes “is at work” to exchange using routing key “tony”.
Exchange updates Evan’s and Anders’ queues
Other patterns are possible e.g. for filtering by topic similar to this:
http://jchris.mfdz.com/posts/64
13
14. Producers
and
consumers
logically
interact
through
a
broker
cloud
C
P C
P P
X
X
P
P
P
C C
14
16. Configuring Rabbit Resources with Spring
Spring enables decoupling of your application code from the
underlying infrastructure
The container provides the resources
The application is simply coded against the API
16
17. Configuring a ConnectionFactory
<bean id="connectionFactory"
class="org.sfw.amqp.rabbit.connection.CachingConnectionFactory">
<property name="username" value="guest"/>
<property name="password" value="guest"/>
<property name="channelCacheSize" value="42"/>
<property name="hostName" value="localhost"/>
</bean>
Caches connection i.e. connection has to be stateless
i.e. can only be used for transactional access only (connection is stateful)
Otherwise use com.rabbitmq.client.ConnectionFactory
17
18. Queues in RabbitMQ
Queue deliver messages to at max one consumer
Messages are sent to an exchange and can be routed to one or
multiple queues
Meta data about RabbitMQ Queues is stored in
org.springframework.amqp.core.Queue:
• String name
• boolean durable
• boolean exclusive : private to one consumer
• boolean autoDelete
Meta data can be used with RabbitAdminTemplate
• Call declare() to actually start using the Queue
Afterwards they are identified by name
Queues are bound to exchanges with routing keys
Default: Bound using the name of the queues as routing key
18
19. Exchanges in RabbitMQ
Meta data about RabbitMQ Exchanges is stored
• DirectExchange : String as routing key, Queue binds to exchange with key
• FanoutExchange : No routing, what goes in must go out
• TopicExchange : Pattern as routing key
String name
boolean durable
boolean autoDelete
Each message received by an exchange will be delivered to each
(qualifying) Queue bound to it
19
20. Spring’s Templates
AmqpTemplate: Generic AMQP interface
RabbitOperations: Rabbit specific interface: (adds just a callback)
RabbitTemplate: Implementation
Spring might provide support for other AMQP implementations later
Common interface
20
21. Spring’s Templates
Central point to send and receive messages
Manages resources transparently
Throws runtime exceptions
Provides convenience methods and callbacks
public Message receive()
public Message receive(final String queueName)
public void send(MessageCreator messageCreator)
public void send(String routingKey, MessageCreator messageCreator)
public void send(String exchange, String routingKey, MessageCreator
messageCreator)
21
22. MessageConverter
The RabbitTemplate uses a MessageConverter to convert between
objects and messages
The default SimpleMessageConverter handles basic types
• byte[] directly transfered
• String converted to byte[]
• Serializable serialized to byte[]
• Content type set accordingly
JsonMessageConverter converts from / to JSON using Jackson
MarshallingMessageConverter converts from / to XML using
Spring's OXM mapping
22
23. Defining a RabbitTemplate Bean
Provide a reference to the ConnectionFactory
Optionally provide other references
• MessageConverter
• Routing key and exchange to be used if none is specified
<bean id=“rabbitTemplate”
class=“org.springframework.amqp.rabbit.core.RabbitTemplate”>
<property name=“connectionFactory” ref=“connectionFactory”/>
<property name=“messageConverter” ref=“messageConverter”/>
<property name=“routingKey” value=“app.stock.request”/>
</bean>
23
24. Sending Messages
The template provides options
• One line methods that leverage the template’s MessageConverter
• Callback-accepting methods that offer more flexibility
Use the simplest option for the task at hand
24
25. Sending Messages with Conversion
Leveraging the template’s MessageConverter
public void convertAndSend(Object object);
public void convertAndSend(String routingKey,
Object object);
public void convertAndSend(String exchange,
String routingKey,
Object object);
25
26. Sending Messages with Callbacks
When more control is needed, use callbacks
public void convertAndSend(String routingKey, Object message,
MessagePostProcessor messagePostProcessor);
public void send(MessageCreator messageCreator);
public void send(String routingKey, MessageCreator messageCreator);
public void send(String exchange, String routingKey,
MessageCreator messageCreator);
Message createMessage() {…}
26
27. Setting the reply to / correlation ID
Allows request / reply schema i.e. wait for the reply to the specific
message
Planned: sendAndReceive() as a direct implementation of this
pattern
getRabbitTemplate().convertAndSend(tradeRequest, new MessagePostProcessor() {
public Message postProcessMessage(Message message)
throws AmqpException {
message.getMessageProperties().setReplyTo(
new Address(defaultReplyToQueue));
try {
message.getMessageProperties().setCorrelationId(
UUID.randomUUID().toString().getBytes("UTF-8"));
} catch (UnsupportedEncodingException e) {
throw new AmqpExcpetion(e);
}
return message;
}
27
});
28. Synchronous Message Reception
The RabbitTemplate can receive messages also
• receive() : Message
• receive(String queueName)
• receiveAndConvert()
• receiveAndConvert(String queueName)
If no message is on the queue null is returned
If no queueName is provided the queue name or queue set at the
template will be used
The MessageConverter can be leveraged for message reception as
well
Object someSerializable =
rabbitTemplate.receiveAndConvert();
28
29. The MessageListener
The API defines this interface for asynchronous reception of
messages
public void onMessage(Message) {
// handle the message
}
29
30. Spring’s MessageListener Containers
Spring provides lightweight containers to call MessageListeners
SimpleMessageListenerContainer
Advanced scheduling and endpoint management options available
30
32. Spring's message-driven objects
Spring also allows you to specify a plain Java object that can serve
as a listener
<bean id="messageListenerAdapter"
class="org.springframework.amqp.rabbit.listener.adapter.MessageListenerAdapter">
<property name="delegate" ref="clientHandler" />
<property name="messageConverter" ref="jsonMessageConverter" />
</bean>
Parameter is automatically converted using a MessageConverter
Return value sent to response-destination or the reply to
Method with matching parameters is automatically called
32
33. Demo: Hello World
Producer send message using the RabbitTemplate
Routing key : helloWorldQueue name "hello.world.queue"
Goes to Default Exchange
…and therefore to the helloWorldQueue (routing by name)
Consumer receives message using the default receive queue
(helloWorldQueue)
Routing key:
hello.world.queue
P X C
Default helloWorldQueue
Exchange "hello.world.queue"
33
34. Demo: Stock Exchange
Server sends stock prices
Client receives stock prices
Client can issue orders
Orders are processed by the server
Client receives confirmation of the trade
Queues are private for one client
34
35. Server sends stock prices
Routing key:
RabbitMarketDataGateway app.stockes.quote.?.? e.g.
called periodicaly app.stockes.quote.nasdaq.ORCL
P X
Topic
Exchange
app.stock.marketdata
35
36. Client receives stock prices
Binding is created to attach the exchange to the queue using the
routing key
Routing key:
app.stock.quotes.nasdaq.*
X C
Topic marketDataQueue
Exchange (private per consumer)
app.stock.marketdata ClientHandler in
SimpleMessageListenerContainer
with jsonMessageConverter and a
MessageListenerAdapter
36
37. Client can issue orders
traderJoeQueue is set as reply to for the message
Routing key:
app.stock.request
P X
Default
Exchange
37
38. Server processes order
Reply (i.e. confirmation) is sent to the reply to (trader Joe queue)
X C
Default stockRequestQueue ServerHandler in
Exchange "app.stock.request" SimpleMessageListenerContainer
with jsonMessageConverter and a
MessageListenerAdapter
38
39. Client receives confirmation of the trade
Binding is created to attach the exchange to the queue using the
routing key
X C
Default Exchange traderJoeQueue
ClientHandler in
SimpleMessageListenerContainer
with jsonMessageConverter and a
MessageListenerAdapter
39
40. Conclusion
Ubiquitous Messaging
AMQP: Protocol standard
Better scalability
http://springsource.org/spring-amqp
Also a .NET version available
40