Basic example using until successful component
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The until-successful scope processes messages through its processors asynchronously and retries if failures occur. It will retry up to the configured maximum number of retries, waiting the specified time between retries. This document provides an XML example of using an until-successful scope with a VM outbound endpoint to retry a database query up to 5 times with 5 seconds between retries if the "DB_STATUS" session variable is not set to "SUCCESS".
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The document describes Mule's SFTP connector, which allows a Mule application to exchange files securely with external resources using the SSH protocol. The SFTP connector can be configured as an inbound endpoint to receive files or an outbound endpoint to send files. Setting up the SFTP endpoint involves dragging it into the appropriate place in the Mule flow and configuring properties like the host, port, path, user and password on tabs like General, Advanced, Reconnection and File. An example flow is provided that uses an SFTP inbound endpoint to receive files and a file outbound endpoint to write them locally.
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The IMAP Connector allows a Mule application to retrieve emails from an IMAP email server. IMAP supports both online and offline access to emails on the server until they are deleted. The IMAP endpoint must be configured as the first message source in a flow. It is configured by providing properties for tabs that expose fields for the IMAP host, port, username, password, and other options.
Ftp connector
The FTP Connector allows Mule applications to exchange files with an external FTP server by implementing a file transport channel. The FTP endpoint can be configured as an inbound endpoint to receive files or an outbound endpoint to write files to the FTP server. Configuring the FTP endpoint involves placing it in the Mule flow, and then configuring properties like the host, port, path, user and password on various tabs in the properties editor. An example flow retrieves files from an FTP server using an inbound FTP endpoint and writes them to a local directory using a file outbound endpoint.
Hdfs connector
The HDFS connector allows bi-directional integration between Mule applications and an Apache Hadoop instance. To use the connector, a global HDFS configuration must be defined containing parameters like the nameNodeUri and username. The connector supports operations like writing to, reading from, and deleting files from HDFS. An example flow demonstrates creating a file in HDFS by writing the HTTP request payload to the specified path.
Ajax connector
The Ajax Connector allows for asynchronous communication between a Mule flow and external web resources by creating a transport channel. It can be configured as either an inbound or outbound endpoint within a Mule flow. Configuring an Ajax endpoint typically involves placing it in the desired location within the flow and then setting properties such as the Connector Configuration to define the transport channel via the endpoint properties editor.
Basic example using database component
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.
Basic example using file connector in anypoint studio
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 until successful component
- 1. Basic Example Using Until Successful Component
- 2. Introduction The until-successful scope processes messages through the processors within it until the process succeeds. By default, until-successful’s processing occurs asynchronously from the main flow. After passing a message into the until-successful scope, the main flow immediately regains control of the thread. However, you can configure until-successful to run synchronously relative to the main flow.
- 3. FLOW FLOW:
- 4. XML: <?xml version="1.0" encoding="UTF-8"?><mule xmlns:vm="http://www.mulesoft.org/schema/mule/vm" xmlns:jdbc- ee="http://www.mulesoft.org/schema/mule/ee/jdbc" xmlns:http="http://www.mulesoft.org/schema/mule/http" 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/http http://www.mulesoft.org/schema/mule/http/current/mule-http.xsd http://www.mulesoft.org/schema/mule/ee/jdbc http://www.mulesoft.org/schema/mule/ee/jdbc/current/mule-jdbc-ee.xsd http://www.mulesoft.org/schema/mule/vm http://www.mulesoft.org/schema/mule/vm/current/mule-vm.xsd"> <jdbc-ee:mssql-data-source name="MS_SQL_Data_Source" user=“****" password=“****" url="jdbc:sqlserver://localhost;databaseName=test1" transactionIsolation="UNSPECIFIED" doc:name="MS SQL Data Source"/> <jdbc-ee:connector name="Database" dataSource-ref="MS_SQL_Data_Source" validateConnections="true" queryTimeout="-1" pollingFrequency="0" doc:name="Database"/> <spring:beans> <spring:bean id="Bean" name="Bean" class="org.mule.util.store.SimpleMemoryObjectStore"/> </spring:beans> <flow name="Database_ComponentFlow2" doc:name="Database_ComponentFlow2"> <http:inbound-endpoint exchange-pattern="request-response" host="localhost" port="8080" path="US" doc:name="HTTP"/> <logger message="--main flow--" level="INFO" doc:name="Logger"/> <expression-component doc:name="Expression"><![CDATA[ sessionVars['DB_STATUS']='INITIAL'; ]]></expression-component> <until-successful objectStore-ref="Bean" maxRetries="5" secondsBetweenRetries="5" doc:name="Until Successful" failureExpression="#[sessionVars['DB_STATUS']!='SUCCESS']"> <vm:outbound-endpoint exchange-pattern="request-response" path="db" doc:name="VM"/> </until-successful> </flow> <flow name="Database_ComponentFlow3" doc:name="Database_ComponentFlow3"> <vm:inbound-endpoint exchange-pattern="request-response" path="db" doc:name="VM"/> <jdbc-ee:outbound-endpoint exchange-pattern="request-response" queryKey="select" queryTimeout="-1" connector-ref="Database" doc:name="Database"> <jdbc-ee:query key="select" value="select * from mytable1"/> </jdbc-ee:outbound-endpoint> <expression-component doc:name="Expression"><![CDATA[ sessionVars['DB_STATUS']='SUCCESS'; ]]></expression-component> <logger message="--success" level="INFO" doc:name="Logger"/> </flow> </mule>
- 5. Execution: URL to trigger the service from browser http://localhost:8080/US Database component connects to the specific database, executes the select query but there is no table specified in DB, hence the until successful component retries for 5 times and exit the flow.