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Voltaire Yap, Global Events Manager, Oracle Corp.
The Java Stream API offers a rich set of operations, filter, map, takeWhile, limit, and many others, to create expressive functional pipelines. However, not every problem fits neatly into these built-ins. Enter gatherers, a new way to extend Stream functionality with your own custom pipeline operations.
In this session, you will learn how the new gatherer() function and Gatherer interface work together to give developers full control over data transformation. Through practical, live-coded examples, we’ll explore different types of gatherers and how to use them to build cleaner, more powerful, and reusable stream logic.
What You Will Learn
How gatherer() extends the Stream API’s capabilities
The structure and purpose of the Gatherer interface
Practical examples of custom gatherers for advanced data processing
Who Should Attend
Java developers and architects who want to go beyond built-in Stream operations and design more expressive, flexible functional pipelines.