Deploying and running mule standalone
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This document provides instructions for deploying and running a simple Mule application on a Mule Standalone server. It explains that a Mule application needs to be exported from Anypoint Studio as a deployable ZIP file and copied to the Mule Standalone server's app folder. It then describes starting the Mule Standalone server from the bin folder and viewing the application running at a URL to confirm successful deployment and operation.
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Deploying and running in mule standalone
Mule Standalone Server is a proprietary application server that can host Java code, web services, and Mule applications. To deploy a Mule application, it must be exported from Anypoint Studio as a zip file and copied to the Mule Standalone app folder. Starting the mule.bat file launches the Mule Standalone server, deploying any applications in the app folder. The document then walks through creating a simple Mule application in Anypoint Studio, exporting and deploying it to the Mule Standalone server, and invoking it to confirm it is running successfully.
Deploying and running in mule standalone
Mule Standalone Server is a proprietary application server that can host Java code, web services, and Mule applications. To deploy a Mule application, it must be exported from Anypoint Studio as a zip file and copied to the app folder of the Mule Standalone server. Once the zip file is copied over, the Mule Standalone server can be started using the mule.bat file in the bin folder. When the server starts, it will deploy the Mule application. The application can then be accessed through its exposed URL.
Deploying and running in mule standalone
Mule Standalone Server is a proprietary application server that can host Java code, web services, and Mule applications. To deploy a Mule application, it must be exported from Anypoint Studio as a zip file and copied to the app folder of the Mule Standalone server. Once the zip file is copied over, the Mule Standalone server can be started from its bin folder, which will deploy and run the Mule application. The success of the deployment can be verified by checking for an anchor file and by hitting the application URL.
Deploy with maven
Maven can be used to develop and deploy Mule applications. To deploy a Mule application using Maven, you first create a Maven project in Anypoint Studio with a pom.xml file, add dependencies to the pom.xml, and build the project. The build will generate a deployable zip file that gets copied to the Mule standalone server apps folder. You can then start the standalone server to deploy the application.
Deploy apps in standalone with maven
This document discusses how to deploy a Mule application to a Mule standalone server using Maven. It explains that you need to create a Mule project with Maven in Anypoint Studio, which will generate a pom.xml file. The pom.xml file needs to be configured to copy the generated deployment ZIP file to the Mule standalone server's apps folder. Running Maven from the command line or in Anypoint Studio will then build the project, deploy it to the standalone server, and allow it to be tested by hitting the configured URL.
Running mule as worker role on azure
Running Mule on Azure can be done using Worker Roles, which are VMs without IIS that perform complex tasks. This document outlines using the Azure toolkit for Eclipse to configure a worker role project that will run Mule standalone and deploy a sample app. Key steps include editing the componentsets.xml file to add Mule, configuring the app deployment, and running the project in the Azure Emulator to test Mule running locally. Improvements mentioned are adding health checks and deploying Mule as a Windows service.
Schedule and monitor in mule
This document discusses how to schedule tasks and monitor events in Mule using custom Java classes and the Spring task scheduler. A Java class is created that logs a message to the console every 10 seconds. The Spring configuration in Mule triggers this class on a schedule. When the Mule flow is called, it responds to the browser and logs to the console, while the scheduled Java class continues running and monitoring in the application independently. This provides an alternative to using components like Quartz and Poll for scheduling and monitoring in Mule applications.
Cache for community edition
This document discusses implementing a cache in Mule Community Edition using a custom interceptor since Community Edition does not include the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor that caches payload data and reuses it when the same request is made. The document demonstrates testing the cache by making a request, deleting related data from the database, and confirming the same response is returned from the cache rather than refetching from the database. It concludes that a custom interceptor can provide caching capabilities in Community Edition similar to the cache scope in Enterprise Edition.
Cache for community edition
This document discusses implementing a cache in Mule Community Edition using a custom interceptor since Community Edition does not include the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor class that caches payload data and includes a code sample. The document then demonstrates configuring and testing the custom cache interceptor on a web service that retrieves database records, showing that it continues returning the cached response even after the underlying database record is deleted.
Cache for community edition
This document discusses implementing a cache in Mule Community Edition using a custom interceptor, as the cache scope is only available in the Enterprise Edition. It provides an example of a custom interceptor that caches payload data and applies a filter expression. The flow is divided into two parts connected by a VM component. The interceptor is used and configured with a filter expression property. Testing is done using SoapUI to call the web service and validate that the cached response is returned even after deleting the cached data from the database.
Community edition Cache
This document discusses implementing a cache for Mule Community Edition using a custom interceptor, as Community Edition does not include the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor that caches payload data and includes a filter expression. The document then demonstrates configuring and testing the custom interceptor by calling a web service that retrieves and caches database records, even after the records are deleted from the database directly. So the custom interceptor allows implementing caching capabilities in Community Edition similarly to the cache scope in Enterprise Edition.
Cache for community edition
This document discusses implementing a cache for Mule Community Edition using a custom interceptor, as Community Edition does not include the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor that caches payload data and includes a filter expression. The document then demonstrates configuring and testing the custom interceptor by calling a web service that retrieves and caches database records, even after the records are deleted from the database directly. So the custom interceptor allows implementing caching capabilities in Community Edition similarly to the cache scope in Enterprise Edition.
Cache community edition
This document discusses implementing a cache for Mule Community Edition using a custom interceptor, as Community Edition does not include the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor that caches payload data and includes a filter expression. The document then demonstrates configuring and testing the custom interceptor by calling a web service that retrieves and caches database records, even after the records are deleted from the database directly. So the custom interceptor allows implementing caching capabilities in Community Edition similarly to the cache scope in Enterprise Edition.
Cache for community edition
This document discusses implementing a cache in Mule Community Edition using a custom interceptor since Community Edition does not include the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor class that caches payload data and includes a code sample. The document then demonstrates setting up a flow with the interceptor, testing the cached web service response by deleting database data, and seeing the cached response is returned rather than hitting the database again. It concludes that the custom interceptor successfully implements caching in Community Edition.
Cache for community edition
This document discusses implementing a cache in Mule Community Edition using a custom interceptor since Community Edition does not include the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor class that caches payload data and includes a code sample. The document then demonstrates configuring and testing the custom cache interceptor on a web service that retrieves database records, showing that it continues returning the cached response even after the underlying database record is deleted.
Cloud hub with mule
CloudHub is the platform as a service component of Anypoint Platform that provides a fully-managed, secure cloud platform for integration and APIs. It requires no hardware maintenance and continuous software updates. Developers can build Mule applications in Anypoint Studio and deploy them to CloudHub directly from Studio or by exporting the application to a deployable ZIP file and uploading it through the CloudHub management console. Once deployed, applications run on CloudHub's global infrastructure and developers can monitor logs and test applications through the console.
Cache for community edition
In Mule Community Edition, cache can be implemented using a custom interceptor since it lacks the cache scope feature of Enterprise Edition. The document demonstrates implementing a cache using a custom interceptor in Community Edition. It shows the flow configuration divided into two parts connected by a VM component. The custom interceptor class is used along with a filter expression property. Testing is done using SoapUI to call the web service and validate that responses come from the cache rather than hitting the database after deleting data.
Cache for community edition
This document discusses implementing a cache in Mule Community Edition using a custom interceptor since Community Edition does not have the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor class that can be used to cache payload data and filter expressions. The document also includes an example Mule configuration and flow that divides the flow into two parts connected by a VM component and uses the custom interceptor. It demonstrates testing the caching by calling a web service, deleting database data, and calling the service again to show it returns the cached response without hitting the database.
Scheduling and monitoring with java in mule
This document discusses how to schedule tasks and monitor events in a Mule application using Java classes and the Spring task scheduler rather than the Quartz scheduler or Poll component. It provides an example of a simple Java class that logs a message every 10 seconds, and the Spring configuration that schedules the class to run repeatedly. When the Mule flow is triggered from a browser, it demonstrates that the messages continue to be logged in the console by the scheduled Java class running in the background.
Using spring task scheduler in java in mule
This document discusses how to schedule tasks and monitor events in a Mule application using Java classes and the Spring task scheduler rather than the Quartz scheduler or Poll component. It provides an example of a simple Java class that logs a message every 10 seconds, and the Spring configuration that schedules the class to run repeatedly. When the Mule flow is triggered from a browser, it logs a message and the scheduled Java class also logs a message every 10 seconds in the console.
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Mapping and listing with mule
Mule ESB allows defining variables to store data, including flow and session variables. Lists and maps can be defined as Mule variables similarly to Java by using square brackets. Values can then be retrieved from the list or map using indexes or keys, and the list values can be reassigned. For example, a list variable can be set as #[{1000,100,14,1}] and values retrieved using flowVars['test'][0]. Similarly, a map can be set as # [{'k2':'new', 'k3':'v3'}] and values retrieved using flowVars['customMap']['k2'].
How to use message properties component
The document discusses how to use message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The configuration contains two flows, one that sets session and outbound properties and logs them, and another that receives the message and logs the now inbound property and session property.
How to use expression filter
This document provides an example of how to use an expression filter in Mule applications. It shows XML configuration with two flows, one that sets a session property and logs it, and another that is called by the first flow via VM connector if the session property value is not equal to "mule". The output logs from both flows are displayed, demonstrating how the expression filter directs flow execution based on the session property value.
Data weave
DataWeave can be used in Mule to transform message payloads. The Transform Message element allows writing DataWeave code to take the incoming message and produce an output. The editor provides input/output previews and auto-completion. DataWeave expressions can also be used elsewhere in Mule flows using the dw() function.
Anypoint data gateway
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Webservice with vm in mule
The document discusses decomposing a complex Mule flow into smaller parts using VM components.
The VM transport allows breaking a large, complex flow into smaller pieces connected by queues for better control and performance. This helps control each event queue, reduces flow complexity, and prevents resources from being overcommitted.
The example shows exposing a CXF web service by breaking the flow into two parts connected by a VM queue. It stores the SOAP action in a property before sending to the VM queue to preserve it for the second flow.
Validating soap request in mule
The document discusses validating SOAP requests in Mule by using a schema validation filter. The filter allows validating a SOAP request against an XSD schema file. If invalid, a custom error message can be returned. The code example shows adding the filter to the flow before the SOAP service. This validates requests and routes invalid ones to a subflow to return the error.
Groovy example in mule
This document discusses using a Groovy scripting component in Mule to add a delay to a flow. The Groovy component uses the sleep method to pause message processing for a specified time period. This allows holding the payload for a set interval before writing the file to the outbound location. The example flow reads a file from one directory, uses a Groovy script to sleep for 3000ms, then writes the file to another directory.
Scatter gather flow control
The document discusses scatter-gather flow control in Mulesoft. Scatter-gather sends a request message concurrently to multiple targets and aggregates the responses. It replaces the deprecated all message processor by executing routes in parallel instead of sequentially, improving efficiency. Scatter-gather collects results into a message collection. If a route fails, it sets the exception payload and throws a composite exception mapping failures to routes.
Mule with velocity
Mule can be used to send emails with dynamically generated content from a Velocity template. A Velocity transformer class maps external properties to the email template. The template uses HTML tags to design the email with colors, images, and logos. Dynamic values like names are populated from a properties file. When a file is processed, its content is appended to the email sent using the Velocity template.
Mule with rabbit mq
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.
Mule with quartz
Quartz transport in Mule allows scheduling inbound and outbound events. Cron expressions are used to define schedules and can be simple, like running every minute, or complex, like running on specific dates and times. Jobs are used to perform scheduled actions. An example application demonstrates writing a file to an outbound folder at a scheduled interval using Quartz, with the files appearing as scheduled.
Mule with drools
This document discusses using Drools, a business rules management system, with Mule to execute business rules in applications. It provides an example of creating a simple Mule application that uses a .drl file to define rules to determine a warehouse destination based on a randomly generated weight variable. The application is deployed to a Mule standalone server and the rules are executed by the Drools component to set the destination variable according to the rules.
Mule esb
This document describes using DataWeave in Mule ESB to transform XML input into a Java object. It includes an XML input file, Mule flow configuration with a DataWeave transform, and a User Java class. The DataWeave transform defines a 'user' object type and maps the XML elements to fields on the User class, setting the payload to a User instance.
Idempotent filter with simple file
The document discusses how to use an Idempotent Filter in Mule to avoid duplicate messages by checking message IDs. It provides an example of configuring an Idempotent Filter to use a simple-text-file-store to store message IDs in files and check for duplicates. When the example flow is run, it generates a text file to store message IDs and will return "passed" for new messages but "EXCEPTION" for duplicate messages.
Creating dynamic json
This document discusses how to dynamically generate JSON payloads in Mule ESB flows. It shows how to use an expression transformer to generate a sample JSON payload with values from flow variables. The generated JSON is then posted to an external service, which returns a response. Testing the flow by hitting a URL generates the JSON request and logs the request and response, demonstrating how to dynamically create and use JSON in Mule.
Converting with custom transformer
This document discusses how to use a custom transformer in Mule to directly transform an XML payload to JSON. It provides an example of a Mule flow that uses a custom Java transformer class to take the XML from a file, convert it to a JSON string using Jackson libraries, and write the JSON output to a new file. The custom transformer allows transforming the payload in a single step without using multiple standard transformers. The example demonstrates how to implement and use a basic custom transformer to achieve direct XML to JSON conversion in Mule flows.
Caching and invalidating with managed store
This document discusses how to use caching with the NonPersistentManagedObjectStore in Mule and invalidate the cache. It shows how to configure caching in a flow using the NonPersistentManagedObjectStore, test the cached response by deleting data from the database, and create a flow to invalidate the cache. When the cache is invalidated and the service is called again, it will retrieve new data from the database rather than serving the cached response.
Automatic documantation with mule
Anypoint Studio has a built-in feature to automatically generate documentation for Mule projects. The documentation plugin allows users to generate an HTML-based documentation with a single click that describes each flow, element, and attribute in the project. Developers can add descriptive text to components using the "doc:name" attribute, which will then appear in the generated documentation. The documentation is saved as an index.html file in a selected folder, displaying both graphical and XML representations of the project's configuration.
Webservice with vm
The document discusses using VM components in Mule to decompose a complex flow into smaller pieces to improve performance and control. It shows how to expose a CXF web service by breaking the flow into two parts connected by VM queues. This allows controlling each event queue separately and preventing overcommitting of resources. It demonstrates storing message properties before sending to the VM queue to retain them for the next flow, since properties may be lost passing through VM.
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Deploying and running mule standalone
- 1. Feroz Khan DEPLOYING AND RUNNING IN MULE STANDALONE (FOR BEGINNERS )
- 2. I often find people get confused when it comes to Mule Standalone server. I thought of giving a demo on deploying and running a simple Mule application on Mule Standalone server
- 3. Mule Standalone Server :- Mule Standalone Server is a proprietary application server that hosts Mule-specific application. This server can host any Java specific code, web services and Mule application. It can also host web application with the help of embedded Jetty server in Mule application.
- 4. To deploy an application on Mule Standalone server we require Mule application in deployable zip format, just like a .war file in case of tomcat server .
- 5. Now, let us create a simple application in our Anypoint studio. This application we will be deploying and running in our Mule Standalone Server You can see a very simple flow which will send a message payload in our browser
- 6. To deploy this application in Mule Standalone we need to create a deployable Zip file and we can create it by right click on the Mule application, and then select Export option, and then select Anypoint studio project to Mule deployable Archive option from the menu as given below:-
- 7. Then select a location and name of the application to deploy and click finish as follows:-
- 8. The application Zip file will be created and we now need to deploy that. Now, we need to copy the zip file and paste it into app folder under Mule Standalone folder as shown below:- This app folder will contain all the Mule application to be deployed under the server
- 9. Once done , we need to start our mule standalone server. We need to come into bin folder under Mule Standalone folder, and there we will find mule.bat ( for windows ) as shown below:-
- 10. You can see the server got started and our TestApplication got deployed successfully We can now click mule.bat to start our standalone server and our server will be started as follow :-
- 11. You can see the server got started and our TestApplication got deployed successfully If we go back to the app folder of Mule Standalone server, we will find our TestApplication is deployed and generated a TestApplicat-anchor.txt which shows it’s successful deployment in the server :-
- 12. If we hit the url http://localhost:8081/test in our browser we can find the response in our browser which shows our application is running fine under Mule Standalone server :-
- 13. In my next slide I will bring some other techniques in Mule implementation . Hope you have enjoyed this simpler version. Keep sharing your knowledge and let our Mule community grow