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You're reading from Go: Design Patterns for Real-World Projects Build production-ready solutions in Go using cutting-edge technology and techniques

Product type Course

Published in Jun 2017

Publisher Packt

ISBN-13 9781788390552

Length 1091 pages

Edition 1st Edition

Languages

Concepts

Design Patterns

Authors (3):

Mario Castro Contreras

Mat Ryer

Vladimir Vivien

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Table of Contents (38) Chapters

Go: Design Patterns for Real-World Projects

Credits

Preface

Bibliography

1. A First Step in Go FREE CHAPTER

2. Go Language Essentials

3. Go Control Flow

4. Data Types

5. Functions in Go

6. Go Packages and Programs

7. Composite Types

8. Methods, Interfaces, and Objects

9. Concurrency

10. Data IO in Go

11. Writing Networked Services

12. Code Testing

13. Ready... Steady... Go!

14. Creational Patterns - Singleton, Builder, Factory, Prototype, and Abstract Factory Design Patterns

15. Structural Patterns - Composite, Adapter, and Bridge Design Patterns

16. Structural Patterns - Proxy, Facade, Decorator, and Flyweight Design Patterns

17. Behavioral Patterns - Strategy, Chain of Responsibility, and Command Design Patterns

18. Behavioral Patterns - Template, Memento, and Interpreter Design Patterns

19. Behavioral Patterns - Visitor, State, Mediator, and Observer Design Patterns

20. Introduction to Gos Concurrency

21. Concurrency Patterns - Barrier, Future, and Pipeline Design Patterns

22. Concurrency Patterns - Workers Pool and Publish/Subscriber Design Patterns

23. Chat Application with Web Sockets

24. Adding User Accounts

25. Three Ways to Implement Profile Pictures

26. Command-Line Tools to Find Domain Names

27. Building Distributed Systems and Working with Flexible Data

28. Exposing Data and Functionality through a RESTful Data Web Service API

29. Random Recommendations Web Service

30. Filesystem Backup

31. Building a Q&A Application for Google App Engine

32. Micro-services in Go with the Go kit Framework

33. Deploying Go Applications Using Docker

1. Good Practices for a Stable Go Environment

Google Cloud Datastore

One of the services available to App Engine developers is Google Cloud Datastore, a NoSQL document database built for automatic scaling and high performance. Its limited featureset guarantees very high scale, but understanding the caveats and best practices is vital to a successful project.

Denormalizing data

Developers with experience of relational databases (RDBMS) will often aim to reduce data redundancy (trying to have each piece of data appear only once in their database) by normalizing data, spreading it across many tables, and adding references (foreign keys) before joining it back via a query to build a complete picture. In schemaless and NoSQL databases, we tend to do the opposite. We denormalize data so that each document contains the complete picture it needs, making read times extremely fast since it only needs to go and get a single thing.

For example, consider how we might model tweets in a relational database such as MySQL or Postgres:

A tweet itself contains...

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You're reading from Go: Design Patterns for Real-World Projects Build production-ready solutions in Go using cutting-edge technology and techniques

Table of Contents (38) Chapters

Google Cloud Datastore

Denormalizing data

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Authors (3)

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