Debugging mule
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This document describes debugging techniques for Mule applications, including the Studio Visual Debugger, troubleshooting, and logging. The Visual Debugger allows setting breakpoints to inspect message contents at different points in a flow. To use it, set breakpoints, run in debug mode, and view message data. Troubleshooting techniques include configuring stacktraces, debugging outside Studio by enabling remote debugging, and using log statements. Logging is useful to follow an application's state by tracking messages through the flow.
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Using maven with muleSindhu VL Maven can be used to develop and manage Mule projects. Mule provides built-in Maven functionality in Anypoint Studio and for Mule ESB. In Studio, new projects can be built with Maven or existing projects can have Maven support enabled. Maven plugins for Mule ESB allow controlling Mule instances from Maven and provide archetypes for regular Mule applications. Projects developed outside Studio using Maven can also be imported.
Mule debugging
Mule debuggingSindhu VL This document describes various techniques for debugging Mule applications, including the Studio Visual Debugger, troubleshooting, and logging. The Visual Debugger allows setting breakpoints to inspect messages at different points in a flow. Troubleshooting options include configuring stacktraces, debugging outside of Studio using Eclipse or standalone mode, and using log statements to follow message state.
Xslt mule
Xslt muleSindhu VL XSLT is a language for transforming XML documents into other formats like HTML, text, PDF. The document lists various XSLT elements used to transform XML, including elements to apply templates, copy nodes, create attributes, comments, choose conditional paths, import/include other XSLT files, define keys, sort nodes, and more. It provides a high-level overview of the functionality of key XSLT elements used in transforming XML documents.
Mule concepts
Mule conceptsSindhu VL - Mule is an event-driven architecture that processes messages through flows and batch jobs. Flows contain a series of message processors that accept and process messages, while batch jobs process large messages as records.
- The basic building blocks of flows are message sources that receive messages, transformers that convert message formats, and components that contain business logic. Messages move through processors, filters, and routers that route messages down different paths.
- Batch jobs split large messages into records and process them asynchronously across batch steps like flows process messages. Batch jobs execute when triggered and produce reports upon completion.
File connector mule
File connector muleSindhu VL The File connector allows a Mule application to exchange files with a file system. It can be configured to filter incoming files and control how outgoing files are written. The connector has general properties like the target path, file name filtering, and polling frequency. It also has advanced properties such as the endpoint address, response timeout, and encoding. The File connector provides functionality for Mule applications to read from and write files to a file system in a configurable way.
Enterprise service bus mule
Enterprise service bus muleSindhu VL The document summarizes the key features of the Mule runtime engine when deployed as an enterprise service bus (ESB) on the Anypoint Platform. It provides out-of-the-box reliability, performance, scalability and security. As an ESB, it combines data and application integration across systems with a path to other Anypoint Platform capabilities and API connectivity. It offers graphical data integration, high availability, deep visibility into performance, operational control from a central console, over 120 connectivity options, and bullet-proof security. Support includes community forums, 24/7 global support, and service level agreements.
Mule testing
Mule testingSindhu VL Mule provides tools for testing Mule applications at various levels:
- Unit testing focuses on individual components without running Mule; MUnit supports this.
- Functional testing exercises Mule configuration and message flows using the FunctionalTestCase.
- Integration testing validates full applications as close to production as possible.
MUnit, integrated with Anypoint Studio and Maven, allows authoring and running tests at all levels.
Concepts in mule
Concepts in muleSindhu VL This document provides an overview of key concepts in Mule including the model layer, services, transports, connectors, endpoints, transformers, routers, filters, and components. The model layer defines Mule's runtime environment for processing asynchronous messages. Services are composed of Mule entities that process predefined requests. Transports handle message receiving and sending via connectors like file, JDBC, HTTP, and JMS. Endpoints define entry and exit points for messages. Transformers optionally change message formats. Routers control message flow. Filters optionally filter messages. Components execute business logic.
Flows and subflows in mule
Flows and subflows in muleSindhu VL Mule applications are built using flows and subflows to process messages. A flow can route messages to other flows or subflows to perform specific tasks either synchronously or asynchronously. There are three types of flows that can be triggered by another flow: subflows process messages synchronously and inherit the triggering flow's strategies; synchronous flows also process synchronously but do not inherit strategies; and asynchronous flows process messages independently and in parallel without inheriting strategies. Subflows and synchronous flows pause the triggering flow during processing while asynchronous flows allow simultaneous parallel processing.
Configuration patterns in mule
Configuration patterns in muleSindhu VL This document discusses configuration patterns in Mule, including simple service, web service proxy, bridge, validator, and HTTP proxy patterns. The simple service pattern exposes components like POJOs, JAX-WS services, and JAX-RS services as request-response services. The web service proxy pattern proxies remote web services and can transform SOAP envelopes. The bridge pattern establishes a direct connection between an inbound and outbound endpoint and supports transformations and transactions. The validator pattern validates inbound messages against filters and returns ACK/NACK responses. The HTTP proxy pattern sits between a caller and target resource, propagating HTTP requests and responses. Configuration patterns are designed for ease of use over power for common tasks.
Xslt elements
Xslt elementsSindhu VL This document discusses XSLT elements. XSLT is a language for transforming XML documents into other formats like HTML, text, or XML. The document then lists and describes over 30 different XSLT elements including <xsl:apply-templates>, <xsl:copy>, <xsl:attribute>, <xsl:choose>, <xsl:element>, <xsl:for-each>, <xsl:if>, <xsl:import>, <xsl:template>, and <xsl:value-of>. It notes there is still more to learn about XSLT elements.
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Debugging mule
- 1. DEBUGGING - MULE Presented By Sindhu VL
- 2. This section describes how to debug your Mule application using: Studio Visual Debugger TroubleShooting
- 3. STUDIO VISUAL DEBUGGER : Studio’s Visual Debugger allows you to run your application in Debug mode, stopping execution to check the contents of a message at previously- specified building blocks. To do this, you set a breakpoint at any building block in your flow that you wish to check or test (see image below). When you run your application in Debug mode, the application stops immediately after executing the building block with the breakpoint. Using the Mule Debugger View, you can browse through the contents of the message as it exists at that point in the flow, and evaluate Mule Expressions against the message.
- 4. USING THE VISUAL DEBUGGER : Complete the following macro-steps to use the Visual Debugger in Studio. 1. Setting Breakpoints breakpoints on building blocks in your application. Regf 2. Running in Debug Mode the application in Debug mode. 3. Viewing Message Data at a Breakpoint and/or Evaluating Mule Expressions the data in the first building block with a breakpoint. 4. Resume application execution. 5. Repeat step 3 with the next building block with a breakpoint, if any.
- 5. SETTING BREAKPOINTS : Right-click a building block, then select Toggle breakpoint.
- 6. RUNNING IN DEBUG MODE : In the Package Explorer pane, right-click your application, then select Debug As> Mule Application. Studio begins running the application in Debug mode, and displays the Confirm Perspective Switch window.
- 7. VIEWING MESSAGE DATA AT A BREAKPOINT : When you begin running your application in Debug mode, Mule opens the Mule Debugperspective. Until a message arrives at the first breakpoint, the Mule Debugger View in the console displays a message that reads, "Connected with mule ESB. Waiting for a mule message to arrive!" The image below illustrates the Mule Debug perspective.
- 9. MULE DEBUGGER VIEW :
- 10. TROUBLESHOOTING : This section introduces a number of techniques useful in troubleshooting Mule problems and in gathering information for technical support. Configuring Mule Stacktraces Debugging Outside Studio Logging
- 11. CONFIGURING MULE STACKTRACES : By default Mule will filter out some internal class references from stacktraces to produce a more readable output. This behavior can be controlled one of three ways: Command-line arguments Setting properties in Mule Studio Using JMX
- 12. DEBUGGING OUTSIDE STUDIO : In Anypoint Studio, you can use the Studio Visual Debugger to help you troubleshoot your app. If you’re creating your Mule app oustide Studio, you can resort to the following options: When Running From Eclipse : Select the "Debug As > Mule Server" start-up mode from your configuration file. Any breakpoint you will have set in your custom code or Mule’s source code will suspend the execution and will take you to Eclipse’s Debug perspective.
- 13. When Running Mule Standalone :You need to start Mule with the -debug to activate remote debugging, which gives (on Linux): $MULE_HOME/bin/mule -debug With this option, Mule will start normally with the only difference being the following message logged in the console: Listening for transport dt_socket at address: 5005
- 14. LOGGING : he less high-tech and most popular of all debugging techniques is the usage of log statements in order to follow the evolution of an application’s state. In Mule, the state you’re interested in resides in the messages that are flowing through your configuration and, possibly, custom code. If you’re running your Mule configuration from Eclipse, the log outputs are visible right in Eclipse console window. If you’re running Mule from the command line, the logs then are visible in your OS console.