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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
Languages
Concepts
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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

Atomicity, race, deadlocks, and starvation

To write and analyze concurrent programs successfully, you have to be aware of some key concepts: atomicity, race, deadlocks, and starvation. Atomicity is a property you have to carefully exploit for safe and correct operation. Race is a natural condition related to the timing of events in a concurrent system, and can create irreproducible subtle bugs. You have to avoid deadlocks at all costs. Starvation is usually related to scheduling algorithms, but can also be caused by bugs in the program.

A race condition is a condition in which the outcome of a program depends on the sequence or timing of concurrent executions. A race condition is a bug when at least one of the outcomes is undesirable. Consider the following data type representing a bank account:

type Account struct {
     Balance int
}
func (acct *Account) Withdraw(amt int) error {
     if acct.Balance < amt {
  ...
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