Mule ESB (a.k.a. Mule) is a lightweight Java-based enterprise service bus (ESB) and integration platform that allows developers to connect applications quickly and easily, enabling them to exchange data. Mule ESB enables easy integration of existing systems, regardless of the different technologies that the applications use, including JMS, Web Services, JDBC, HTTP, and more.
An enterprise service bus (ESB) is software architecture for middleware that provides fundamental services for more complex architectures. For example, an ESB incorporates the features required to implement a service-oriented architecture (SOA). In a general sense, an ESB can be thought of as a mechanism that manages access to applications and services (especially legacy versions) to present a single, simple, and consistent interface to end-users via Web- or forms-based client-side front end.
We have different types of primitives in mediation.
Message Element Setter
Shared Context: Context is a temporary area which is created along with Service Message Object (SMO) in the Mediation Flows. Shared Context is a type of context which is present in the SMO. Shared Context is mainly used when we are using Aggregation process where we need to iterate the BO for Certain times. Shared Context maintains Aggregation data between Aggregation primitives. The Content (data) which is present in the shared context BO does not persist across Request and Response flows i.e. The Data in the Shared Context which is used in Request flow cannot be used again in Response flow.
Transient Context: Used for passing values between Mediation primitives within the current flow — either the request flow or the responses flow. The transient context cannot link requests and responses and hence cannot be used across.
Used when you want to save an input message before a service invokes call (within a request or response flow). After the services invoke call, the next primitive can create another message by combining the service invoke response and the original message stored in the transient context.
Correlation Context: Used when Mediation primitives want to pass values from the request flow to the response flow.
Used to pass values from the request message onto the response.
Service Invoke: The Service Invoke primitive is used to make a service request in either a request or response mediation flow. The service may be Request/Response or One-Way. Multiple instances of the Service Invoke primitive are permitted in a flow, allowing a series of service invocations to be performed.
Callout: The Callout receives the message and calls the requested service and operation. There is a Callout node for each connected target operation in the mediation flow.
– If the call is successful, the Callout Response node in the response flow receives the response message.
– If the call is unsuccessful, the Callout can be set to retry service invocations depending on the type of fault received.
By using Fan-in and Fan-out primitive.
Fan-out: We can use the Fan Out primitive to fire the output terminal once (with the input message) or to fire the output terminal multiple times. You can use Fan Out in isolation or as part of a Fan Out and Fan In combination.
Fan-In: Fan In is always partnered with a Fan Out in the same flow and acts as a decision point for when to continue flow execution. It receives a number of messages until a decision point is reached, at which point the last message to be received is propagated to the output terminal. The Fan In primitive may only be used in combination with Fan Out.
We have future called Promotable properties in ESB. We can configure this future while development. Then we can make it changed at runtime without restarting the server it can be published.
Data Source needs to be created and need to configure with DB. If we have security, then need to created security authentication.
SDO: Service Data Object is the representation of the variable or Object.
SMO: The SMO model is a pattern for using SDO Data Objects to represent messages
Stop: Stops a particular path in the flow, without generating an exception.
Fail: Generates a failure in the flow.
If you are getting this error message while building the Mule examples:
[WARNING] Unable to get resource from repository atlassian-m2-repository (http://repository.atlassian.com/maven2)
[WARNING] Unable to get resource from repository atlassian-m1-repository (http://repository.atlassian.com)
[WARNING] Unable to get resource from repository Codehaus (http://repository.codehaus.org/)
[WARNING] Unable to get resource from repository codehaus-snapshots (http://snapshots.repository.codehaus.org)
[ERROR] BUILD ERROR
[INFO] Failed to resolve artifact.
You may need to change the version value of the dependency in the pom.xml, for instance,
The issue regarding dependencies review is tracked at MULE-1446.
Add the following code snippet to your Mule configuration:
<!-- starts an RMI registry on the default port 1099. -->
Start your Mule instance.
Ensure the HQ agent is running on the server the Mule instance is configured on and is pointing to the desired HQ server.
Check the Mule HQ server page to see if information about the Mule instance is being received.
A Mule UMO is a Universal Message Object
UMO is now a legacy term. What was once referred to as UMO Components are now referred to as Service Components?
The java and mule environment variables must be setup correctly for mule to start. If you are experiencing problems check the following variables:
MULE_HOME – should be the location of the mule install
JAVA_HOME – should be the location of the JDK
PATH – should have both JAVA_HOMEbin and MULE_HOMEbin in the path.
Check all of the above carefully. Some systems with multiple JDK’s installed can end up with incorrect mappings between the PATH and the JAVA_HOME, which will stop mule from loading.
Use the MULE_LIB variable (generally set in the run script)
To include JAR file(s) in a mule class path, declare each dependent jar file in the MULE_LIB entry.
For spring resource, if the XML bean declaration is placed within a project, include the project JAR file in the class path too (i.e., if not included, Mule will throw a **.xml not found on class path)
<!DOCTYPE mule-configuration PUBLIC "-//MuleSource //DTD mule-configuration XML V1.0//EN"
Ftp get to a remote server and place into a local directory on the MULE server
An interceptor is a piece of code that can be configued to execute
before and/or after an event is received fora component.
You can define a stack of interceptors that will be executed in sequence.
You can then configure the stack on your components.
The Mule model initialises and manages your UMO components
A Mule descriptor defines all the necessary information about how your components will interact with the framework, other components in the system and external sources. Please refer to the Configuration Guide fora full description of all the parameters.
Here we tell thiscomponent to use the interceptor stack defined above
Mule has released a data integrator tool, it is a visual mapping tool which supports flat file, java object, XML mappings, etc. Coding complex mappings can be very tedious and additionally difficult to maintain, the mule data integrator with drag and drop facilities makes building and maintaining mappings very simple.
The mapping is done in eclipse (plugins required) and executed on a data integrator runtime which sits on top of Mule ESB – this requires a license.
This is in 1.4/1.4.1 distributions but was missing from the 1.3.3 distribution – the class is defined in <mulehome>/lib/mule/mule-core-<version>.jar.
Our design of course tutorials and interview questions is practical and informative. At TekSlate, we offer resources to help you learn various IT courses. We avail both written material and demo video tutorials. For in-depth knowledge and practical experience explore online mule ESB Training.
Messaging framework to an enterprise-wide highly distributable object broker.
Transport: applications can accept input from a variety of means, from the file system to the network.
Data format: speaking the right protocol is only part of the solution, as applications can use almost any form of representation for the data they exchange.
Invocation styles: synchronous, asynchronous, or batch call semantics entail very different integration strategies.
Lifecycles: applications of different origins that serve varied purposes tend to have disparate development, maintenance, and operational lifecycles.
Mule’s core was designed as an event-driven framework combined with a unified representation of messages, expandable with pluggable modules. These modules would provide support for a wide range of transports or add extra features, such as distributed transactions, security, or management. Mule was also designed as a programmatic framework offering programmers the means to graft additional behavior such as specific message processing or custom data transformation.
There is a lot of infrastructure work to be done before we can really start thinking about implementing any logic. So this infrastructure work is regarded as “donkey work” as it needs doing for every project. A Mule is also commonly referred to as a carrier of load, moving it from one place to another. The load it specializes in moving is our enterprise information.
All major JEE vendors (BEA, IBM, Oracle, Sun) have an ESB in their catalog. It is unremarkably based on their middleware technologies and is usually at the core of a much broader SOA product suite. There are also some commercial ESBs that have been built by vendors not in the field of JEE application servers, like the ones from Progress Software, IONA Technologies, and Software AG.
Prescriptive deployment model, whereas Mule supports a wide variety of deployment strategies. Prescriptive SOA methodology, whereas Mule can embrace the architectural style and SOA practices in place where it is deployed. Mainly focused on higher-level concerns, whereas Mule deals extensively with all the details of integration. Strict full-stack web service orientation, whereas Mule’s capacities as an integration framework open it to all sorts of other protocols. Comprehensive documentation, a subject on which MuleSource has made huge progress recently
The first logical layer is the model layer. A Mule model represents the runtime environment that hosts services. It defines the behavior of Mule when processing requests handled by services. The model provides services with supporting features, such as exception strategies. It also provides services with default values that simplify their configuration.
A Mule service is composed of all the Mule entities involved in processing particular requests in predefined manners. A service is defined by a specific configuration. This configuration determines the different elements, from the different layers of responsibility that will be mobilized to process the requests that it will be open to receive. Depending on the type of input channel it uses, a service may or may not be publicly accessible outside of the ESB.
The transport layer is in charge of receiving or sending messages. This is why it is involved with both inbound and outbound communications. A transport manifests itself in the configuration by the following elements: connectors, endpoints and transformers.
A transport also defines one message adapter. A message adapter is responsible for extracting all the information available in a particular request (data, meta information, attachments, and so on) and storing them in transport-agnostic fashion in a Mule message.
A connector is in charge of controlling the usage of a particular protocol. It is configured with parameters that are specific to this protocol and holds any state that can be shared with the underlying entities in charge of the actual communications.
For example: a JMS connector is configured with a Connection, which is shared by the different entities in charge of the actual communication.
5th April | 08:00 AM