Q. Why do you need AMQP when there is JMS?
A. AMQP stands for Advanced Message Queuing Protocol, and was developed to address the problem of interoperability by creating a standard for how messages should be structured and transmitted between platforms the same way as SMTP, HTTP, FTP, etc. have created interoperable systems. This standard binary wire level protocol for messaging would therefore allow hetrogeneous disparate systems between and within companies to exchange messages regrdless of the message broker vendor or platform.
RabbitMQ, Apache Qpid, StormMQ, etc are open source message broker softwares (i.e. MOM - message-oriented middlewares) that implements the Advanced Message Queuing Protocol (AMQP).
Q. How does AMQP differ from JMS?
A. JMS is a standard messaging API for the Java platform. It provides a level of abstraction that frees developers from having to worry about specific implementation and wire protocols. This is similar to the JDBC API that allows you to easily switch databases. With JMS, you can switch from one JMS complian message broker (e.g. Web Methods) with another one (e.g. MQSeries or WebspehreMQ) with little or no changes to your source code. It also provides interoperability between other JVM based languages like Scala and Groovy. Altough JMS brokers can be used in .NET applications, the whole JMS specification does not guarantee interoperability, and integration between Java to .NET or Java to Ruby, is proprietary and can be quite tricky. In scenarios where you want to send a message from a Java based message producer to a .NET based message consumer, then you need a message based cross platform interoperability that is what AMQP does. With AMQP, you can use any AMQP compliant client library, and AMQP compliant message broker.
Q. What is an architecture that enables separate applications to work together, but in a de-coupled fashion such that applications can be easily added or removed without affecting the others?
A. This is achieved via a Message Oriented Middleware (aka a message bus).
Q. How can the caller be sure that exactly one receiver will receive the document or perform the call?
A. Use the point-to-point channel
Q. How can the sender broadcast an event to all interested receivers?
A. Use the publish subscribe channel.
Q. What will the messaging system do with a message it cannot deliver?
A. Put it on the dead letter channel.
Q. How can the sender make sure that a message will be delivered, even if the messaging system fails?
A. Use the "guaranteed delivery" mechanism.
Q. What are the diffrent ways to route messages?
A. EIP (Enterprise Integration Patterns) define different types of rules based routing to solve common enterprise intergration problems. Like GoF design patterns is the EIP allows integration architects and designers to share a common vocabulary.
- Content based routing uses XPath predicates to route messages based on the message content. Content enricher supplements the original message with additional relevant information recieved from the other sources.
- Splitter provides the EIP service engine to split messages into separate parts based on the XPATH expression. Splits a composite message into a series of individual message parts.
- Split Aggregator is used to collect and store individual message parts until a complete set of co-related message parts has been recieved. Once all the related parts have been recieved, they are aggregated to form a single message.
- Static Recipent List based routing inspects an incoming message, and depending upon the number of recipients mentioned in the list, it can forward the message to all channels associated with the "recipients list".
- A Resquencer is used to get a stream of related but out of sequence messages back into correct order. Because individual messages may follow different routes, some messages are likely to pass through the processing steps sooner than others, resulting in the messages getting out of order. A resequencer usually does not modify the message contents.
- A message filter is a processor that eliminates undesired messages based on specific criteria. Filtering is controlled by specifying a predicate in the filter: when the predicate is true, the incoming message is allowed to pass; otherwise, it is blocked. A message filter usually does not modify the message contents.
Q. How would you deal with large message volumes?
- You can reduce the data volume with the use of "Claim Check" pattern, which allows you to replace message content with a claim check (a unique key), which can be used to retrieve the message content at a later time. The message content will be stored temporarily in a persistent store like a database or file system. This pattern is very useful when message content is very large and not all components require all information.
- A Content Filter can be used to remove unwanted data elements from a message. It is useful to simplify the structure of the message. Very often, messages are represented as tree structures containing many levels of nested, repeating groups because they are modeled after generic, normalized database structures. Very often, this level of nesting is superfluous and a Content Filter can be used to 'flatten' the hierarchy into a simple list of elements that can be more easily understood and processed by other systems.
Q. How would you go about choosing between Spring Integration and Apache Camel to solve common integration problems?
Spring Integration provides an extension to the Spring programming model to support the well-known Enterprise Integration Patterns while building on the Spring Framework's existing support for enterprise integrationSpring Integration is more suited, if you already have got a Spring project and need to add some integration stuff to it. It requires almost no additional effort to learn Spring Integration if you know Spring itself. Nevertheless, Spring Integration only offers very rudimenary support for technologies such as AMQP, Spring Application Events, Feeds (e.g, RSS/ATOM), File, FTP, FTPS, SFTP, Gemfire, Groovy, HTTP (REST), TCP/IP, JDBC, JMS, JMX, Mail (IMAP/IDLE/POP3), MongoDB, Redis, RMI, Twitter, Web Services (SOAP), and XMPP. Integrations are implemented by writing a lot of XML based DSL(without a real DSL - Domain Specific Language). Spring Integration can be though of as a catch up game to Apache Camel as JavaEE did a catch up with Spring.
Apache Camel is a powerful open source integration framework based on known Enterprise Integration Patterns with powerful support for integration with core Spring. Apache Camel is almost identical to Mule ESB, and offers many components (even more than Spring Integration) for almost every technology you could think of. If there is no component available, you can create your own component very easily starting with a Maven archetype. Camel also supports a Spring based XML configuration as well as a "DSL" for Java, Groovy, and Scala. The benefits of using the Java DSL is that your IDE can auto complete your code as you start typing, rather than having to mess around with buckets of XML. The Java DSL is also very expressive as you can mix and match your own code within the language for Expression or Predicate evaluations. So, it has better readability and there are commercial tools like "Fuse IDE" for generating XML based DSL code.
Mule ESB is another choice and as the name suggests, it is an ESB including additional bells and whistles. This can be compared to "Apache ServiceMix", which is an extension to Apache Camel. Mule also only offers XML based DSL. The Mule Studio is a visual designer. Mule does provide proprietary connector support for systems like SAP, Tibco Rendevous, PayPal, Sibel CRM, IBM's CICS, etc.
So, the decision is not clear cut and it depends on your needs.