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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

Streaming data

A typical software engineer’s life revolves around moving and transforming data. Sometimes the data being moved or transformed does not have a predefined size limit, or it is produced in a piecemeal fashion, so it is not reasonable to load it all and process it. That’s when you may need to stream data.

When I say streaming, what I mean is the processing of data generated continuously. This includes dealing with an actual stream of bytes, such as transferring a large file, as well as dealing with a list of structured objects such as records retrieved from the database, or time-series data generated by sensors. So, you usually need a “generator” function that will collect data based on a specification and pass it on to the subsequent layers.

In what follows, we will build a (hypothetical) application that deals with time series data stored in a database. The application will use a query to select a subset of the data in the database, compute...

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