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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

Generating errors

Before we try to handle errors, let's first try to raise a few. In Java ecosystems, error conditions are raised by throwing exceptions. Exceptions can be raised under the following conditions:

  • The producer can throw an exception while generating the next value.
  • The subscriber can throw an exception while processing the next value or subscription event, or in any operators.

In all of the preceding conditions, there must be an effective procedure for handling the error raised. Reactive Streams prescribe the error event for the same purpose. The specification states that a producer should raise an error event, instead of throwing an exception. However, the specification does not discuss exceptions raised while processing events in the subscriber. Let's start to work on our Fibonacci series, to understand how error handling happens in Reactor:

    @Test...
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