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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

Debugging anomalies

Concurrent algorithms have a way of working when observed and failing when not. Many times, a program that runs just fine in a debugger fails mysteriously in production environments. Sometimes, such failures come with a stack trace, and you can track it back to why it happened. But sometimes, failures are much more subtle with no clear indication of what went wrong.

Consider the monitor in the previous section. You might want to find out why SlowFunc hangs. You cannot really run it in a debugger and step through the code because you simply have no control over which invocation of the function hangs. But what you can do is print a stack trace when it happens. This is the nature of most anomalies in concurrent programs: you don’t know when it is going to happen, but you can usually tell that it did. So, you can print all sorts of diagnostic information to backtrack how the program got there. For instance, you can print the stack trace when the monitor raises...

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