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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

Many concurrent Go programs are combinations of variations on worker pools. One reason could be that channels provide a really good mechanism for assigning tasks to waiting goroutines. A worker pool is simply a group of one or more goroutines that performs the same task on multiple instances of inputs. There are several reasons why a worker pool may be more practical than creating goroutines as needed. One reason is that creation of a worker instance in the worker pool could be expensive (not the creation of a goroutine, that’s cheap, but the initialization of a worker goroutine can be expensive), so a fixed number of workers can be created once and then reused. Another reason is that you potentially need an unbounded number of them, so you create a reasonable number once. Regardless of the situation, once you decide you need a worker pool, there are easy-to-repeat patterns that you can use over and over to create high-performing worker pools.

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