Mule 4 DataWeave Functions: Part 2

Mule 4 DataWeave Functions: Part 2

1. Objects (dw::core::Objects) DataWeave 2.0 Object related functions are: divideBy, entrySet, mergeWith, nameSet & valueSet. divideBy: Divides object into sub-objects with properties. dwl script: {a: 1, b: true, a:2, b:false} divideBy 2 Output: [ {...
Mule 4: JMS Publish & Subscribe with Transformation

Mule 4: JMS Publish & Subscribe with Transformation

About the JMS Connector: The JMS connector enables the application to exchange messages using the JMS implementation of our own choice. Its main features include: Pub/Sub pattern support on any given destination. Listen/Reply pattern support on any given destination....
Mule 4 DataWeave Functions: Part 1

Mule 4 DataWeave Functions: Part 1

In DataWeave 2.0, functions are categorized into different modules: Core (dw::Core) Arrays (dw::core::Arrays) Binaries (dw::core::Binaries) Encryption (dw::Crypto) Diff (dw::util::Diff) Objects (dw::core::Objects) Runtime (dw::Runtime) Strings (dw::core::Strings)...
Ease Digital Transformation with MuleSoft

Ease Digital Transformation with MuleSoft

Digital transformation can be easier when you use MuleSoft APIs to connect legacy technology, applications, and cloud-based solutions. But let’s back up a minute… what is digital transformation anyway? Digital transformation is a mindset focused on maximized...
DataWeave 1.0 to DataWeave 2.0 Migration

DataWeave 1.0 to DataWeave 2.0 Migration

This post was originally published on DZone. DataWeave is a new feature of Mule3 that allows us to convert data to any kind of format, such as XML, CSV, JSON and POJO’s, etc. In Mule 3, we use both MEL and Dataweave for writing the mule messages. Among these,...