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Effective Concurrency in Go

You're reading from   Effective Concurrency in Go Develop, analyze, and troubleshoot high performance concurrent applications with ease

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781804619070
Length 212 pages
Edition 1st Edition
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Author (1):
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Burak Serdar Burak Serdar
Author Profile Icon Burak Serdar
Burak Serdar
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Concurrency – A High-Level Overview 2. Chapter 2: Go Concurrency Primitives FREE CHAPTER 3. Chapter 3: The Go Memory Model 4. Chapter 4: Some Well-Known Concurrency Problems 5. Chapter 5: Worker Pools and Pipelines 6. Chapter 6: Error Handling 7. Chapter 7: Timers and Tickers 8. Chapter 8: Handling Requests Concurrently 9. Chapter 9: Atomic Memory Operations 10. Chapter 10: Troubleshooting Concurrency Issues 11. Index 12. Other Books You May Enjoy

Worker Pools and Pipelines

This chapter is about two interrelated concurrency constructs: worker pools and pipelines. While a worker pool deals with splitting work among multiple instances of the same computation, a data pipeline deals with splitting work into a sequence of different computations, one after the other.

In this chapter, you will see several working examples of worker pools and data pipelines. These patterns naturally come up as solutions to many problems, and there is no single best solution. I try to separate the concurrency concerns from the computation logic. If you can do the same for your problems, you can iteratively find the best solution for your use case.

The topics that this chapter will cover are as follows:

  • Worker pools, using a file scanner example
  • Data pipelines, using a CSV file processor example
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