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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

Tickers – running something periodically

It may be a reasonable idea to run a function periodically using repeated calls to AfterFunc:

var periodicTask func()
periodicTask = func() {
   DoSomething()
   time.AfterFunc(time.Second, periodicTask)
}
time.AfterFunc(time.Second,periodicTask)

With this approach, each run of the function will schedule the next one, but variations in the running duration of the function will accumulate over time. This may be perfectly acceptable for your use case, but there is a better and easier way to do this: use time.Ticker.

time.Ticker has an API very similar to that of time.Timer: You can create a ticker using time.NewTicker, and then listen to a channel that will periodically deliver a tick until it is explicitly stopped. The period of the tick will not change based on the running time of the listener. The following program prints the number of milliseconds elapsed since the beginning of the program for...

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