Using message enricher
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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.
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- 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.
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.
Runing batch job in mule
Runing batch job in muleSon Nguyen Mule ESB allows processing of messages in batches. A batch job splits large messages into individual records, processes each record through batch steps, and generates a report with results. Batch jobs are useful for processing large datasets from APIs, databases, or between applications. The key parts of a batch job are the input phase, loading phase, processing phase, and completion phase.
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Using message enricher
- 2. One common scenario involves the need to enrich an incoming message with information that isn’t provided by the source system. You can use a content enricher if the target system needs more information than the source system can provide. Consider a message from a source system contains a zip code but the target system needs the two letter state. A message enricher can be used to lookup the state using the zip code from an enrichment resource. The enricher calls out to the enrichment resource with the current message (containing the zip code) then enriches the current message with the result. Source: Mulesoft
- 3. Mule Enricher Component Enricher is used if the target system needs more information than the source system can provide. It enriches the mule message by calling external system or do some transformation to existing payload and save it into some scope of variable like session or outbound or invocation and the transformation happened in en-richer scope doesn't affect the actual payload.
- 4. Set-property: Save some information extracted from payload or original payload to some invocation or flow scope variable. NOTE: Mule currently supports enrichment of flow variables and message headers only. Example: Consider a message from a source system contains a zip code but the target system needs the two letter state. A message enricher can be used to lookup the state using the zip (postal code) from an enrichment resource. The enricher calls out to the enrichment resource with the current message (containing the zip code) then enriches the current message with the result.
- 6. This is a very simple flow with one-way inbound and outbound endpoints, and which acts as part of an order processing pipeline. This flow uses an enricher to add a state flow variable to the current message with the state that the flow ref returns. The ‘target’ attribute defines how the current message is enriched using a MessageEnricher which uses the same syntax as expression evaluators.
- 7. Description: 1. The http endpoint receives an xml input as a payload with H-No, street, city and zip elements. 2. In message enricher we modified the payload as zip and the same to sub flow to retrieve the state for that particular zip. 3. The flow reference in the processor chain of the enricher receives the state as a payload which enricher assigns to a new target flow variable named state. 4. The payload sent from the enricher is the same as the input and the new state variable is added to the xml using Data-Mapper.
- 8. Output:
- 9. The enricher element also supports more advanced use cases where the message returned by the enrichment resource isn’t just a simple string which is exactly what we need to enrich the current message with; often you may want to enrich your message with just part of the information from the result of the invocation of an external service. More Complex Enrichment
- 10. In this particular example the ‘Get State’ endpoint receives the full message, and we are supposed to use a part of that payload. Here we mention the part of the payload in the Source section of the Message Enricher and that is saved in the target section.
- 11. The “enrichment resource” can be any message processor, outbound connector, processor-chain or flow-ref. If using an outbound-connector then of course it should have a request-response exchange pattern.