Skip to main content

Spring Integration concepts

Channel Adapter : One way message

Gateway : Bidirectional message

Message: Unit of info passed between two endpoints. Has header and payload.

Channel: Decouples producer from consumer.

Point-to-Point

Publish-Subscribe

1.2. Spring Integration’s support for enterprise integration patterns

Enterprise Integration Patterns describes the patterns used in the exchange of messages, as well as the patterns that provide the glue between applications. Like the diagram in figure 1.1, it’s about messaging and integration in the broadest sense, and the patterns apply to both intra-application and inter application scenarios. Spring Integration supports the patterns described in the book, so we need to establish a broad understanding of the definitions of these patterns and the relations between them.
From the most general perspective, only three base patterns make up enterprise integration patterns: MessageMessage Channel, and Message EndpointFigure 1.2 shows how these components interact with each other in a typical integration application.
Figure 1.2. A message is passed through a channel from one endpoint to another endpoint.
There are two main ways to differentiate between these patterns. First, each pattern has more specific subtypes, and second, some patterns are composite patterns. This section focuses on the subtypes so you have a clear understanding of the building blocks. Composite patterns are introduced as needed throughout the book.

1.2.1. Messages

A message is a unit of information that can be passed between different components, called message endpoints. Messages are typically sent after one endpoint is done with a bit of work, and they trigger another endpoint to do another bit of work. Messages can contain information in any format that’s convenient for the sending and receiving endpoints. For example, the message’s payload may be XML, a simple string, or a primary key referencing a record in a database. See figure 1.3.
Figure 1.3. A message consists of a single payload and zero or more headers, represented here by the square and circle, respectively.
Each message consists of headers and a pay-load. The header contains data that’s relevant to the messaging system, such as theReturn Address or Correlation ID. The payload contains the actual data to be accessed or processed by the receiver. Messages can have different functions. For example, a Command Message tells the receiver to do something, an Event Message notifies the receiver that something has happened, and a Document Message transfers some data from the sender to the receiver.
In all of these cases, the message is a representation of the contract between the sender and receiver. In some applications it might be fine to send a reference to an object over the channel, but in others it might be necessary to use a more interoperable representation like an identifier or a serialized version of the original data.

1.2.2. Message Channels

The message channel is the connection between multiple endpoints. The channel implementation manages the details of how and where a message is delivered but shouldn’t need to interact with the payload of a message. Whereas the most important characteristic of any channel is that it logically decouples producers from consumers, there are a number of practicalimplementation options. For example, a particular channel implementation might dispatch messages directly to passive consumers within the same thread of control. On the other hand, a different channel implementation might buffer messages in a queue whose reference is shared by the producer and an active consumer such that the send and receive operations each occur within different threads of control. Additionally, channels may be classified according to whether messages are delivered to a single endpoint (point-to-point) or to any endpoint that is listening to the channel (publish-subscribe). As mentioned earlier, regardless of the implementation details, the main goal of any message channel is to decouple the message endpoints on both sides from each other and from any concerns of the underlying transport.
Two endpoints can exchange messages only if they’re connected through a channel. The details of the delivery process depend on the type of channel being used. We review many characteristics of the different types of channels later when we discuss their implementations in Spring Integration. Message channels are the key enabler for loose coupling. Both the sender and receiver can be completely unaware of each other thanks to the channel between them. Additional components may be needed to connect services that are completely unaware of messaging to the channels. We discuss this facet in the next section on message endpoints.
Channels can be categorized based on two dimensions: type of handoff and type of delivery. The handoff can be either synchronous or asynchronous, and the delivery can be either point-to-point or publish-subscribe. The former distinction will be discussed in detail in the synchronous versus asynchronous section of the next chapter. The latter distinction is conceptually simpler, and central to enterprise integration patterns, so we describe it here.
In point-to-point messaging (see figure 1.4), each single message that’s sent by a producer is received by exactly one consumer. This is conceptually equivalent to a postcard or phone call. If no consumer receives the message, it should be considered an error. This is especially true for any system that must support guaranteed delivery. Robust point-to-point messaging systems should also include support for load balancing and failover. The former would be like calling each number on a list in turn as new messages are to be delivered, and the latter would be like a home phone that’s configured to fall back to a mobile when nobody is home to answer it.
Figure 1.4. A Point-to-Point Channel
As these cases imply, which consumer receives the message isn’t necessarily fixed. For example, in the Competing Consumers(composite) pattern, multiple consumers compete for messages from a single channel. Once one of the consumers wins the race, no other consumer will receive that message from the channel. Different consumers may win each time, though, because the main characteristic of that pattern is that it offers a consumer-driven approach to load balancing. When a consumer can’t handle any more load, it stops competing for another message. Once it’s able to handle load again, it will resume.
Unlike point-to-point messaging, a Publish-Subscribe Channel (figure 1.5) delivers the same message to zero or more subscribers. This is conceptually equivalent to a newspaper or the radio. It provides a gain in flexibility because consumers can tune in to the channel at runtime. The drawback of publish-subscribe messaging is that the sender isn’t informed about message delivery or failure to the same extent as in point-to-point configurations. Publish-subscribe scenarios often require failure-handling patterns such asIdempotent Receiver or Compensating Transactions.
Figure 1.5. A Publish-Subscribe Channel

1.2.3. Message endpoints

Message endpoints are the components that actually do something with the message. This can be as simple as routing to another channel or as complicated as splitting the message into multiple parts or aggregating the parts back together. Connections to the application or the outside world are also endpoints, and these connections take the form of channel adapters, messaging gateways, or service activators. We discuss each of them later in this section.
Message endpoints basically provide the connections between functional services and the messaging framework. From the point of view of the messaging framework, endpoints are at the end of channels. In other words, a message can leave the channel successfully only by being consumed by an endpoint, and a message can enter the channel only by being produced by an endpoint. There are many different types of endpoints. We discuss a few of them here to give you a general idea.
Channel Adapter
Channel Adapter (see figure 1.6) connects an application to the messaging system. In Spring Integration we chose to constrict the definition to include only connections that are unidirectional, so a unidirectional message flow begins and ends in a channel adapter. Many different kinds of channel adapters exist, ranging from a method-invoking channel adapter to a web service channel adapter. We go into the details of these different types in the appropriate chapters on different transports. For now, it’s sufficient to remember that a channel adapter is placed at the beginning and the end of a unidirectional message flow.
Figure 1.6. Channel Adapter
Messaging Gateway
In Spring Integration, a Messaging Gateway (see figure 1.7) is a connection that’s specific to bidirectional messaging. If an incoming request needs to be serviced by multiple threads but the invoker needs to remain unaware of the messaging system, an inbound gateway provides the solution. On the outbound side, an incoming message can be used in a synchronous invocation, and the result is sent on the reply channel. For example, outbound gateways can be used for invoking web services and for synchronous request-reply interactions over JMS.
Figure 1.7. Messaging Gateway
A gateway can also be used midstream in a unidirectional message flow. As with the channel adapter, we’ve constrained the definition of messaging gateway a bit in comparison to Enterprise Integration Patterns (see figure 1.8.)
Figure 1.8. Messaging Gateway and Channel Adapters
Service Activator
Service Activator (see figure 1.9) is a component that invokes a service based on an incoming message and sends an outbound message based on the return value of this service invocation. In Spring Integration, the definition is constrained to local method calls, so you can think of a service activator as a method-invoking outbound gateway. The method that’s being invoked is defined on an object that’s referenced within the same Spring application context.
Figure 1.9. Service Activator
Router
Router (see figure 1.10) determines the next channel a message should be sent to based on the incoming message. This can be useful to send messages with different payloads to different, specialized consumers (Content-Based Router). The router doesn’t change anything in the message and is aware of channels. Therefore, it’s the endpoint that’s typically closest to the infrastructure and furthest removed from the business concerns.
Figure 1.10. Router
Splitter
Splitter (see figure 1.11) receives one message and splits it into multiple messages that are sent to its output channel. This is useful whenever the act of processing message content can be split into multiple steps and executed by different consumers at the same time.
Figure 1.11. Splitter
Aggregator
An Aggregator (figure 1.12) waits for a group of correlated messages and merges them together when the group is complete. The correlation of the messages typically is based on a correlation ID, and the completion is typically related to the size of the group. A splitter and an aggregator are often used in a symmetric setup, where some work is done in parallel after a splitter, and the aggregated result is sent back to the upstream gateway.
Figure 1.12. Aggregator
You’ll see many more patterns throughout the book, but what we covered here should be sufficient for this general introduction. If you paid close attention while reading the first paragraph in section 1.2, you may have noticed that we said Spring Integrationsupports the enterprise integration patterns, not that it implements the patterns. That’s a subtle but important distinction. In general, software patterns describe proven solutions to common problems. They shouldn’t be treated as recipes. In reality, patterns rarely have a one-to-one mapping to a single implementation, and context-dependent factors often lead to particular implementation details.
As far as the enterprise integration patterns are concerned, some, such as the message and message channel patterns, are more or less implemented. Others are only partially implemented because they require the addition of some domain-specific logic; examples are the content-based router in which the content is dependent on the domain model and the service activator in which the service to be activated is part of a specific domain. Yet other patterns describe individual parts of a larger process; examples are the correlation ID we mentioned when describing splitter and aggregators and the return address that we discuss later. Finally, there are patterns that simply describe a general style, such as the pipes-and-filters pattern. With these various pattern categories in mind, let’s now see how the concept of inversion of control applies to Spring Integration’s support for the patterns.



Of the two, synchronous communication is more straightforward: the recipient of the call is known in advance, and the message is received immediately (see figure 2.4). The invocation, processing, and response occur in the same thread of execution (like a Java thread if the call is local or a logical thread if it’s remote). This allows you to propagate a wealth of contextual information, the most common being the transactional and security context. Generally, the infrastructure required to set it up is simpler: a method call or a remote procedure call. Its main weaknesses are that it’s not scalable and it’s less resilient to failure.
Figure 2.4. Synchronous message exchange: the message is received immediately by the provider.
Scaling up is a problem for synchronous communication because if the number of simultaneous requests increases, the target component has few alternatives, for example:
  • Trying to accommodate all requests as they arrive, which will crash the system
  • Throttling some of the requests to bring the load to a bearable level[2]
    2 Throttling is the process of limiting the number of requests that a system can accommodate by either postponing some of them or dropping them altogether.
When the load increases, the application will eventually fail, and you can do little about it.
The lack of resilience to failure comes from the fundamental assumption that the service provider is working properly all the time. There’s no contingency, so if the service provider is temporarily disabled, the client features that depend on it won’t work either. The most obvious situation is a remote call that fails when the service provider is stopped, but this also applies to local calls when an invoked service throws a RuntimeException.
Table 2.1. Synchronous and asynchronous communication compared
Synchronous
Asynchronous
DefinitionRequest is delivered immediately to provider, and the invoker blocks until it receives a response.The invoker doesn’t wait to receive a response. Requests are buffered and will be processed when the provider is ready.
Advantages
  • Simple interaction model
  • Immediate response
  • Allows the propagation of invocation context (transaction, security)
  • Good scalability under load
  • Resilience to failure (requester and provider needn’t be available at the same time)
Disadvantages
  • Lack of resilience to failure
  • Doesn’t scale properly under load
  • Complex interaction model due to increased concurrency
  • Hard to debug




Service Activator Endpoint Example

A Service Activator is a generic endpoint that invokes a method on a bean when a message arrives at an input channel. Declaration of the endpoint is shown in the following snippet:




// bean to be invoked
The service-activator endpoint picks up a message as soon as it arrives on the positions-channel and calls the processNewPosition method on the bean. Any code required to fetch messages or invoke the bean’s method is already included in the service-activator snippet. This is the power of the framework.



Priority Channel

The PriorityChannel is a subclass of QueueChannel with just one additional characteristic—prioritization of messages. If you need to send a high-priority message immediately, then PriorityChannel is the one to use. The easiest way is to set the PRIORITY property on the MessageHeader when creating a message.
Let’s look at an example to create a message with priority. The publishPriorityTrade method publishes a new Trade onto the provided channel. Priority of the message is set by using the MessageHeader’s PRIORITY property. Its value is an integer, thus the higher the value, the higher the priority.
public void publishPriorityTrade(Trade t) {
  Message tradeMsg = MessageBuilder.withPayload(t).
    setHeader(MessageHeades.PRIORITY, 10).build();

  priorityChannel.send(tradeMsg, 10000);

  System.out.println("The Message is published successfully");
}
Messages with a higher priority will end up at the top of the queue, while the lower-priority messages will be pushed down. The default behavior is to useMessageHeaders’ PRIORITY property to sort the messages.
In order to create a priority channel, use the priority-queue element as shown in the following XML code:

  
The priority-queue tag lets the framework create a PriorityChannel with a given capacity.
If you need to further customize priorities, you need to provide your own comparator by implementing Comparator> to the constructor. The following code snippet shows the AccountComparator:
public class AccountComparator implements Comparator> {

  @Override
  public int compare(Message msg1, Message msg2) {
    Account a1 = (Account)msg1.getPayload();
    Account a2 = (Account)msg2.getPayload();

    Integer i1 = a1.getAccountType();
    Integer i2 = a2.getAccountType();

    return i1.compareTo(i2);
  }
}
Once you define the Comparator, you need to let the framework know you are going to use it for all the messages coming into the priority channel. You do this by using the comparator tag:

  comparator="accountComparator"
/>
The priority-queue expects capacity and comparator values. In the above snippet, we set the AccountComparator as the comparator on the channel.

PublishSubscribe Channel

Use PublishSubscribeChannel if you need to send a message to multiple consumers. This is the implementation of the SubscribableChannel interface out of the box. There are no receive methods in this channel because the message reception is handled by a subscriber called MessageHandler.
The declaration of the channel in an XML config file is simple and straightforward:

Spring Integration provides endpoints such as Service Activators, Channel Adapters, Message Bridges, Gateways, Transformers, Filters, and Routers.



Comments

Popular posts from this blog

JPA 2 new feature @ElementCollection explained

@ElementCollection is new annotation introduced in JPA 2.0, This will help us get rid of One-Many and Many-One shitty syntax.

Example 1: Stores list of Strings in an Entity

@Entity
public class Users implements Serializable {

    private static final long serialVersionUID = 1L;
    @Id
    @GeneratedValue(strategy = GenerationType.AUTO)
    private Long id;
@ElementCollection
    private List<String> certifications = new ArrayList<String>();

    public Long getId() {
        return id;
    }

    public void setId(Long id) {
        this.id = id;
    }

    public List<String> getCertifications() {
        return certifications;
    }

    public void setCertifications(List<String> certifications) {
        this.certifications = certifications;
    }
..
}

        Users u = new Users();
        u.getCertifications().add("Sun Certified Java Programmer");
        em.persist(u);

Generated Tables

   Users
Column --> ID
    Row             1

Users_CERTIFICATIONS

Validating CSV Files

What is CsvValidator ?
  A Java framework which validates any CSV files something similar to XML validation using XSD.

Why should I use this ?
  You don't have to use this and in fact its easy to write something your own and also checkout its source code for reference.

Why did I write this ?
  Some of our projects integrate with third party application which exchanges information in CSV files so I thought of writing a generic validator which can be hooked in multiple projects or can be used by QA for integration testing.

What is the license clause ?
GNU GPL v2

Are there any JUnit test cases for me checkout ?
 Yes, source

How to integrate in my existing project ?

Just add the Jar which can be downloaded from here CsvValidator.jar and you are good.

Instantiate CsvValidator constructor which takes these 3 arguements

         // filename is the the file to be validated and here is a sample         // list - defines all the fields in the above csv file ( a field has index, type, isOptional, rege…

ArrayList vs LinkedList vs HashSet Performance Comparision

ConclusionsInserting & Reading sequentially from Collection prefer LinkedList/ArrayListInserting & Reading/Deleting by Search/equals from Collection prefer HashSetInserting, ArrayList & LinkedList performs best while HashSet takes double the timeReading, HashSet performs best while ArrayList & LinkedList are marginally lessDeleting, HashSet performs 10 times better than ArrayList & ArrayList performs 4 times better than LinkedList. LinkedList is slow because of sequencial search Bottom line : unless you are not going to iterate using for(Integer i : list ) then prefer HashSet
Inserting/Reading/Deleting integer's from zero till countJDK7Collectionactioncounttime msArrayListInsert1000/1LinkedListInsert1000/1HashSetInsert1000/1ArrayListInsert100005LinkedListInsert100004HashSetInsert100007ArrayListInsert10000011LinkedListInsert10000011HashSetInsert10000021ArrayListGet/Read1000LinkedListGet/Read1000HashSetGet/Read1000ArrayListGet/Read100004LinkedListGet/Read100003Has…