Kafka Connector Integration with Mule 4

Kafka Connector Integration with Mule 4

Introduction: Kafka is a scalable pub/sub system, primarily used to collect & analyze large volumes of data. It enables us to pass messages from one end-point to another. Kafka messages are persisted on the disk and replicated among the cluster to prevent data...
Mule Message Structure Changes from Mule 3 to Mule 4

Mule Message Structure Changes from Mule 3 to Mule 4

The message structure of Mule 4 is completely changed now. Mule 4 has simplified Mule Event and Mule Message to make it easier to work with properties and variables. There are no inbound or outbound properties in Mule 4. MuleSoft introduced the attributes. Also, Mule...
Mule 4 LDAP Connectivity and Associated Operations

Mule 4 LDAP Connectivity and Associated Operations

Mule 4 LDAP Operations: Search Create OU(organizationalUnit) Create a user Modify Delete Pre-requisites: MuleSoft Anypoint Studio 7 Java 8 OpenLDAP, OUD, OID, Microsoft AD. Acronyms: 1. Search operation Step 1: Create a project in MuleSoft Anypoint Studio and drag and...
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....