Heroku Integration - Using Eventing to drive Automation and Communication (Java)

Note

This repository is work in progress, plesae follow to monitor for further updates.

Important

For use with the Heroku Integration and Heroku Eventing pilots only

This sample extends the batch job sample by adding the ability to use eventing to start the work and notify users once it completes using Custom Notifications. These notifications are sent to the user's desktop or mobile device running Salesforce Mobile. Flow is used in this sample to demonstrate how processing can be handed off to low-code tools such as Flow.

Other Samples

Sample	What it covers?
Salesforce API Access - Java	This sample application showcases how to extend a Heroku web application by integrating it with Salesforce APIs, enabling seamless data exchange and automation across multiple connected Salesforce orgs. It also includes a demonstration of the Salesforce Bulk API, which is optimized for handling large data volumes efficiently.
Extending Apex, Flow and Agentforce - Java	This sample demonstrates importing a Heroku application into an org to enable Apex, Flow, and Agentforce to call out to Heroku. For Apex, both synchronous and asynchronous invocation are demonstrated, along with securely elevating Salesforce permissions for processing that requires additional object or field access.
Scaling Batch Jobs with Heroku - Java	This sample seamlessly delegates the processing of large amounts of data with significant compute requirements to Heroku Worker processes. It also demonstrates the use of the Unit of Work aspect of the SDK (JavaScript only for the pilot) for easier utilization of the Salesforce Composite APIs.
Using Eventing to drive Automation and Communication	This sample extends the batch job sample by adding the ability to use eventing to start the work and notify users once it completes using Custom Notifications. These notifications are sent to the user's desktop or mobile device running Salesforce Mobile. Flow is used in this sample to demonstrate how processing can be handed off to low-code tools such as Flow.