Basic example using message properties component
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This document describes using message properties in Mule to pass data between flows. It shows adding properties in different scopes using message-properties-transformer, and logging the properties in each flow. The example sets a "property1" session variable and "property2" outbound property in flow1, then flow2 reads the inbound "property2" and session "property1" properties.
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Working with components
This document discusses the key building blocks of Mule flows:
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Mule transformers strictly enforce the types of incoming and outgoing data by default, but this can be configured to be more relaxed. Transformers can change the payload type, format, or message properties. Mule provides many built-in transformers across its core and modules to handle common transformation needs like payload type changes or property modifications. Individual transformer configurations can ignore invalid inputs or enforce a specific return type.
About jms
JMS is an option for application integration in a Java environment that is asynchronous, secure, reliable, and fast. It allows sending and receiving of JMS messages on queues and topics using the JMS 1.0.2b or 1.1 specifications. Mule does not implement a JMS server, so a JMS broker like ActiveMQ must be used. Configuring JMS with the broker can sometimes be tricky, but Mule provides options for JMS connectors and endpoints. The JMS transport will create different types of JMS messages depending on the data type, such as a BytesMessage for a byte array. Sending messages to a queue is similar to topics by changing the endpoint configuration attribute. Durable subscribers
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This document discusses using the Database connector in Mule to connect to a relational database and perform operations. It provides an example flow that uses the Database connector to connect to a MySQL database, execute a SELECT query to retrieve all records from a Students table, and log the results. The flow is triggered by an HTTP listener and uses a Database select operation with a parameterized query to retrieve the data and output it to the console.
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The document discusses using the File connector in Anypoint Studio to exchange files between a Mule application and file system. The File connector can be used as an inbound or outbound endpoint and implements a one-way exchange pattern. An example configuration is provided to poll a directory for files, read the file contents, and write the contents to the logs.
Basic example using quartz component in anypoint studio
The document discusses using the Quartz transport in Anypoint Studio to schedule and trigger events. It describes how an inbound Quartz endpoint can be used to trigger recurring events using a cron expression, and an outbound endpoint can schedule existing events. An example configuration is provided to trigger a flow with a logger every 30 seconds for 10 repetitions using Quartz inbound endpoint.
Mule fundamentals
Mule is a lightweight integration platform that enables connecting systems, services, APIs and devices together. It handles message routing, data mapping, orchestration, reliability, security and scalability between nodes. With Mule, users can integrate on-premise or cloud applications, build and expose APIs, create interfaces for mobile consumption, and connect business-to-business activities. Mule uses event-driven architecture and processes messages through flows containing message processors that accept and process messages. It can also process large messages through batch jobs that split messages into records.
Salesforce connector Example
The document describes how to use Mulesoft to connect a CSV file to a Salesforce account. It involves using a File connector to monitor an input folder for CSV files. A Salesforce connector is configured with a username, password and security token. A DataMapper transformer maps the CSV file fields to Salesforce object fields. When run, the application will take CSV contact data from the input folder and upload it to the Salesforce account as new contacts.
Munit junit test case
This document discusses writing functional test cases for Mule flows using JUnit and MUnit frameworks. With JUnit, test cases directly connect to original components like databases and APIs, modifying real data. MUnit allows mocking components to avoid this. The document provides examples of test cases using JUnit that connect directly to Salesforce and SAP, modifying real data. It then presents a solution using MUnit, showing how to mock the Salesforce component to return sample data without connecting to the real system. MUnit test cases are able to fully isolate tests by mocking components.
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Basic example using message properties component
- 2. FLOW
- 3. XML <?xml version="1.0" encoding="UTF-8"?> <mule xmlns:http="http://www.mulesoft.org/schema/mule/http" xmlns:vm="http://www.mulesoft.org/schema/mule/vm" xmlns="http://www.mulesoft.org/schema/mule/core" xmlns:doc="http://www.mulesoft.org/schema/mule/documentation" xmlns:spring="http://www.springframework.org/schema/beans" version="EE-3.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema- instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-current.xsd http://www.mulesoft.org/schema/mule/core http://www.mulesoft.org/schema/mule/core/current/mule.xsd http://www.mulesoft.org/schema/mule/vm http://www.mulesoft.org/schema/mule/vm/current/mule-vm.xsd http://www.mulesoft.org/schema/mule/http http://www.mulesoft.org/schema/mule/http/current/mule-http.xsd"> <flow name="MessagePropertiesFlow1" doc:name="MessagePropertiesFlow1"> <http:inbound-endpoint exchange-pattern="request-response" host="localhost" port="8089" path="messageproperties" doc:name="HTTP"/> <message-properties-transformer scope="session" doc:name="Message Properties"> <add-message-property key="property1" value="studio"/> </message-properties-transformer> <message-properties-transformer scope="outbound" doc:name="Message Properties"> <add-message-property key="property2" value="mule"/> </message-properties-transformer> <logger message="--flow1--#[message.outboundProperties['property2']]--#[sessionVars['property1']]" level="INFO" doc:name="Logger"/> <vm:outbound-endpoint exchange-pattern="request-response" path="messageproperties" doc:name="VM"/> </flow> <flow name="MessagePropertiesFlow2" doc:name="MessagePropertiesFlow2"> <vm:inbound-endpoint exchange-pattern="request-response" path="messageproperties" doc:name="VM"/> <logger message="---flow2--#[message.inboundProperties['property2']]--#[sessionVars['property1']]" level="INFO" doc:name="Logger"/> </flow> </mule>
- 4. Output: ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ + Started app 'messageproperties' + ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ INFO 2015-10-03 16:00:26,480 [[messageproperties].connector.http.mule.default.receiver.02] org.mule.api.processor.LoggerMessageProcessor: --flow1--mule--studio INFO 2015-10-03 16:00:26,482 [[messageproperties].connector.http.mule.default.receiver.02] org.mule.lifecycle.AbstractLifecycleManager: Initialising: 'connector.VM.mule.default.dispatcher.771015974'. Object is: VMMessageDispatcher INFO 2015-10-03 16:00:26,482 [[messageproperties].connector.http.mule.default.receiver.02] org.mule.lifecycle.AbstractLifecycleManager: Starting: 'connector.VM.mule.default.dispatcher.771015974'. Object is: VMMessageDispatcher INFO 2015-10-03 16:00:26,489 [[messageproperties].connector.http.mule.default.receiver.02] org.mule.api.processor.LoggerMessageProcessor: ---flow2--mule--studio
- 5. Execution: URL to trigger the service from browser http://localhost:8080/mp In flow1 both outbound and session property is created using message property component Service displays both outbound and session properties in flow1 In flow2 the outbound property is changes to inbound proeprty Flow2 displays both inbound and session property