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Jumpstart Jamstack Development

You're reading from   Jumpstart Jamstack Development Build and deploy modern websites and web apps using Gatsby, Netlify, and Sanity

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800203495
Length 252 pages
Edition 1st Edition
Languages
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Authors (2):
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Christopher Pecoraro Christopher Pecoraro
Author Profile Icon Christopher Pecoraro
Christopher Pecoraro
Vincenzo Gambino Vincenzo Gambino
Author Profile Icon Vincenzo Gambino
Vincenzo Gambino
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Toc

Table of Contents (17) Chapters Close

Preface 1. Chapter 1: History of the Jamstack 2. Chapter 2: Introduction to Sanity FREE CHAPTER 3. Chapter 3: Exploring Sanity Studio 4. Chapter 4: Sanity Configuration and Schemas 5. Chapter 5: Sanity's GROQ Language 6. Chapter 6: Sanity's GraphQL Playground 7. Chapter 7: Gatsby – An Introduction 8. Chapter 8: Gatsby and GraphQL 9. Chapter 9: Gatsby Source Plugins 10. Chapter 10: Building Gatsby Components 11. Chapter 11: APIs – Extending Gatsby 12. Chapter 12: APIs – Alexa Skills 13. Chapter 13: Tying It All Together 14. Chapter 14: Deployment Using Netlify and Azure 15. Chapter 15: Conclusion 16. Other Books You May Enjoy

GROQ versus SQL

The compactness of GROQ simply uses an initial asterisk sign to denote select all documents, and not a single table by default as in standard SQL. While SQL is a traditional schema database, which means you have to decide the structure of your database in advance, divided into tables. Before storing any data, a programmer must define a table, names, and types of columns inside that table. When adding data to a schema database, a programmer must pass the data in the format declared on each column, any extra data or data not matching the format will not be stored in the database.

Sanity's content model is a schema-less database which means you don't need to define tables and columns. The system stores data as key/value pairs or JSON, basically a one-column table. A programmer will be able to add any data in any format into the database, change the existing data, from a Boolean to a string, for example, and add new data types without declaring a new column...

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