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Mastering Clojure

You're reading from   Mastering Clojure Understand the philosophy of the Clojure language and dive into its inner workings to unlock its advanced features, methodologies, and constructs

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Product type Paperback
Published in Mar 2016
Publisher Packt
ISBN-13 9781785889745
Length 266 pages
Edition 1st Edition
Languages
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Author (1):
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Akhil Wali Akhil Wali
Author Profile Icon Akhil Wali
Akhil Wali
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Toc

Table of Contents (14) Chapters Close

Preface 1. Working with Sequences and Patterns FREE CHAPTER 2. Orchestrating Concurrency and Parallelism 3. Parallelization Using Reducers 4. Metaprogramming with Macros 5. Composing Transducers 6. Exploring Category Theory 7. Programming with Logic 8. Leveraging Asynchronous Tasks 9. Reactive Programming 10. Testing Your Code 11. Troubleshooting and Best Practices A. References
Index

Reactive programming with fibers and dataflow variables

Dataflow programming is one of the simplest forms of reactive programming. In dataflow programming, computations are described by composing variables without bothering about when these variables are set to a value. Such variables are also called dataflow variables, and they will trigger computations that refer to them once they are set. The Pulsar library (https://github.com/puniverse/pulsar) provides a few useful constructs for dataflow programming. These constructs can also be used with Pulsar fibers, which we briefly talked about in Chapter 8, Leveraging Asynchronous Tasks. In this section, we will explore the basics of fibers and dataflow variables from the Pulsar library.

Note

The following library dependencies are required for the upcoming examples:

[co.paralleluniverse/quasar-core "0.7.3"]
[co.paralleluniverse/pulsar "0.7.3"]

Your project.clj file must also contain the following entries:

:java-agents
[[co.paralleluniverse...
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