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Hands-On Reactive Programming with Reactor

You're reading from   Hands-On Reactive Programming with Reactor Build reactive and scalable microservices using the Reactor framework

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789135794
Length 250 pages
Edition 1st Edition
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Reactive Streams FREE CHAPTER 2. The Publisher and Subscriber APIs in a Reactor 3. Data and Stream Processing 4. Processors 5. SpringWebFlux for Microservices 6. Dynamic Rendering 7. Flow Control and Backpressure 8. Handling Errors 9. Execution Control 10. Testing and Debugging 11. Assessments 12. Other Books You May Enjoy

Chapter 7: Flow Control and Backpressure

  1. Why do we need the groupBy operator?

The groupBy() operator converts Flux<T> into batches. The operator associates a key with each element of Flux<T>. It then groups elements that have the same key. These groups are then emitted by the operator.

  1. What is the difference between the groupBy and buffer operators?

The groupBy operator groups the stream of events based on a configured key, but the buffer operator splits the stream into chunks of a specified size. Thus, the buffer operator maintains the original ordering of events.

  1. How can we throttle an event in Reactor?

The sample() operator allows us to accomplish throttling.

  1. What is the difference between the Overflow.Ignore and the OverFlow.Latest strategies?

Overflow.Ignore ignores the limits of the subscriber backpressure and keeps delivering the next event to the...

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