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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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Toc

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

The context, cancelations, and timeouts

In Chapter 2, we showed that closing a channel shared between multiple goroutines is a good way to signal cancelation. Cancelations may happen in different ways: a failure in a part of the computation may invalidate the entire result, the computation may last so long that it times out, or the requester notifies the server application that it is no longer interested in the result by closing the network connection. So, it makes sense to pass a channel to the functions that are called to handle a request. But you have to be careful: you can close a channel only once. Closing a closed channel will panic. Here, the term “request” should be taken in an abstract sense: it can be an API request submitted to a server, or it can simply be a function call to handle a particular piece of a larger computation.

It also makes sense to let the functions in the call chain know about certain data related to the request. For example, in a concurrent...

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