Create salesforce account
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The document discusses how to connect MuleSoft applications to Salesforce using the Mule Anypoint Salesforce Connector. It explains that the connector allows establishing a connection to Salesforce using SOAP web services and supports performing operations via the Salesforce API. It lists prerequisites of having a Salesforce account and credentials and discusses configuring connection pooling and reconnection strategies for the connector. It provides steps for creating a Mule project and flow, configuring the global Salesforce connector element, and using an HTTP outbound endpoint along with the connector to pass input to create a Salesforce Account.
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- Async - Runs a chain of processors in a separate thread.
- Choice - Sends a message to the first matching processor.
- Collection Aggregator - Groups messages by correlation ID before forwarding.
- Collection Splitter - Splits messages whose payload is a collection.
- Custom processors - Allow custom message processing logic.
- Filtering processors - Filter messages based on properties.
- Routing processors - Route messages in various ways like first successful, round robin, etc.
Expression language in mule
Expression language in muleSon Nguyen The document provides an overview of Mule Expression Language (MEL), including its main uses and syntax. MEL allows accessing and manipulating message properties and context through expressions. Key points include:
- MEL expressions can make decisions, select values, replace tokens, and act as scripts using message properties and context.
- Syntax is Java-like with property expressions to access message fields. Operators include arithmetic, comparison, logical, and control flow statements.
- Context objects model the message, server, Mule instance, and application to access environment properties in expressions.
- Variables store expression values globally or across flows. Functions extract data through XPath and regex expressions.
Mule with data weave
Mule with data weaveSon Nguyen The document discusses various ways to transform data and integrate systems using Mule and DataWeave including: calling global MEL functions from DataWeave; using the read, write, and log functions; and calling external flows. It provides code examples for defining global functions, reading and writing different data formats, logging output, and triggering other flows.
Using spring scheduler mule
Using spring scheduler muleSon Nguyen Using Spring Scheduler Mule allows scheduling tasks in Mule applications using a Java class and Spring task scheduler. This provides an alternative to using Quartz scheduler or Poll components. The document demonstrates creating a Java class that prints a message every 10 seconds, and configuring the Spring task scheduler in Mule to trigger that class repeatedly to continuously monitor an application.
Composite source in bound and out-bound
Composite source in bound and out-boundSon Nguyen The document discusses using a composite source in Mule to accommodate multiple inbound endpoints to trigger a flow. A composite source listens in parallel on different channels for incoming messages, and passes any received message to the first message processor to trigger the flow. This allows a single flow to be triggered by messages from different inbound endpoints like HTTP, file, FTP, etc. The document provides an example where a flow is triggered either by a Quartz scheduled task or by an HTTP request using a composite source with both endpoints.
Batch job processing
Batch job processingSon Nguyen The document discusses batch job processing in Mule. It describes a use case where a batch job queries a database to retrieve approved users and generates a CSV file with the user account attributes. Batch processing in Mule allows splitting messages into records, performing actions on each record, and reporting results. It is useful for integrating or synchronizing data sets, ETL processes, and handling large amounts of incoming data.
Using message enricher
Using message enricherSon Nguyen The document discusses using a message enricher in Mulesoft to enrich messages by adding additional data from external sources. It provides an example of using an enricher to lookup the two-letter state based on the zip code contained in the original message. The enricher calls an external resource, retrieves the state, and adds it to the message as a new variable before sending it to the target system. This allows target systems to receive messages with more information than what the source system originally provided.
Finance connectors with mule
Finance connectors with muleSon Nguyen - Financial institutions need a new way to connect traditional delivery channels with emerging digital business models as they struggle with operational inefficiencies, disparate systems, legacy technology, and security concerns.
- Mulesoft provides connectors that allow for syncing of data and automation of processes between applications like QuickBooks, Avalara, FreshBooks, PayPal, and Zuora to help address these issues.
- The connectors enable seamless integration and consumption of APIs to help reduce double data entry and automate common business processes.
Google drive connection
Google drive connectionSon Nguyen The document discusses various Google connectors provided by MuleSoft that allow integration between Google services like Prediction, Tasks, Contacts, Calendar, and Spreadsheets with third party applications. It provides descriptions of each connector and explains how they enable access and synchronization of data between the Google services and applications like Salesforce, Outlook, and Excel through APIs.
Using properties in mule
Using properties in muleSon Nguyen Properties files allow configuration values to be externalized and reused throughout a Mule application. Property placeholders can be used to reference values from properties files, enabling environment-specific configurations. Values for placeholders can come from global properties, property files, environment variables, or runtime arguments, with earlier sources taking priority.
Mule integrate with microsoft
Mule integrate with microsoftSon Nguyen MuleSoft provides solutions for integrating Microsoft applications and platforms like .NET, Microsoft SharePoint, Microsoft Dynamics CRM, and MSMQ. This allows organizations to leverage existing Microsoft investments by connecting applications across diverse codebases on-premises and in the cloud on a modern integration platform. MuleSoft's solutions for Microsoft give IT organizations using .NET the ability to connect different applications and services wherever needed.
Jms queue
Jms queueSon Nguyen This document discusses JMS queues and provides an example of using a JMS queue with ActiveMQ. It describes JMS and the queue model, then provides steps to set up a Mule application that enqueues messages to an ActiveMQ queue using HTTP and receives messages from the queue using JMS. The example shows importing ActiveMQ libraries, creating an ActiveMQ connector, adding messages to the queue from HTTP and receiving them from the queue using JMS.
Anypoint connectors
Anypoint connectorsSon Nguyen Anypoint Connectors provide integration solutions for connecting applications, data, and devices across cloud and on-premises systems using a variety of pre-built connectors available on Anypoint Exchange. Connectors include those for ActiveMQ, Cassandra DB, generic databases, Amazon S3, Amazon SQS, Oracle Siebel, and more. They allow for CRUD operations and data synchronization between the target systems and MuleSoft's Anypoint Platform.
Mule esb basic introduction
Mule esb basic introductionSon Nguyen Mule ESB is an open source enterprise service bus (ESB) that allows for lightweight and flexible integration. It uses a loosely coupled architecture and supports major protocols and technologies. Mule ESB uses a staged event-driven (SEDA) architecture that decomposes services into stages for modularity and code reuse. It processes messages using universal message objects (UMOs) and endpoints, with transports handling specific protocols and connectors sending/receiving messages. Transformation and routing are done through transformers, routers, and an exception strategy handles errors.
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- 2. Overview - MuleSoft provides the most widely used integration platform to connect any application, data service or API, across the cloud and on-premise continuum. - The Salesforce connector establishes connection to Salesforce system using SOAP web service (provided by Salesforce). Almost every operation that can be done via the Salesforce's API can be done thru this connector. This connector will also work if your Salesforce objects are customized with additional fields or even you are working with custom objects. The connector supports the option to configure Salesforce connection details, connection pooling and max limit of active connections. 2
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- 5. Mule flow Steps to be followed for integrating ‘Salesforce' with MuleSoft Applications: Create a new Anypoint Studio Project and Flow. Before using the Salesforce Connector in the Mule Flows, create a global element for Salesforce configuration which can be reused in all other flows across the Mule project - wherever the objects are created & deleted to & from Salesforce cloud server. 5
- 6. Mule Flow (cont.) Configure the Salesforce connector by providing the following information for the global element User Name Password Security Token Use HTTP outbound endpoint to pass the input details to the Salesforce connector Configure the Salesforce endpoint by providing the following to create the Account under Salesforce link to the ‘global Connector Configuration’ Operation 6
- 7. Mule Flow (cont.) Mule XML - 7
Editor's Notes
- #4: Follow Do's and Do Not'sCommon Profile PicFollow Company and Geography:HydAdd followers from peers and WW, MuleSoftHave a Note about yourselfAsk Questions in live BrightTalk Webinars using #tweetsTweet/Retweet Articles on Mule. WW blog, G+ and Forum Links Follow WW and Mulesoft....