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MySQL & JSON A Practical Programming Guide: Second Edition

About MySQL & JSON A Practical Programming Guide: Second Edition

JSON - JavaScript Object Notation - has become the data interchange format for most developers. MySQL added a JSON data type plus NoSQL JSON Document Store so developers can work with both relational tables and schema-less JSON document collections in version 5.7. MySQL 8.0 has introduced many new JSON centric features. This book is a practical guide on how to take advantage of JSON data with a MySQL database with numerous easy-to-follow examples, clear explanations, and coding examples. This book will become your reference guide on using JSON data with a MySQL database, the numerous functions used with JSON data, the functions that can convert non-JSON relational data into JSON, the MySQL Document Store, and converting JSON data temporarily into structured (SQL) data for processing with SQL commands.

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  • Language:
  • English
  • ISBN:
  • 9780578783246
  • Binding:
  • Paperback
  • Pages:
  • 224
  • Published:
  • October 8, 2020
  • Dimensions:
  • 212x14x274 mm.
  • Weight:
  • 546 g.
Delivery: 1-2 weeks
Expected delivery: December 12, 2024
Extended return policy to January 30, 2025

Description of MySQL & JSON A Practical Programming Guide: Second Edition

JSON - JavaScript Object Notation - has become the data interchange format for most developers. MySQL added a JSON data type plus NoSQL JSON Document Store so developers can work with both relational tables and schema-less JSON document collections in version 5.7. MySQL 8.0 has introduced many new JSON centric features. This book is a practical guide on how to take advantage of JSON data with a MySQL database with numerous easy-to-follow examples, clear explanations, and coding examples. This book will become your reference guide on using JSON data with a MySQL database, the numerous functions used with JSON data, the functions that can convert non-JSON relational data into JSON, the MySQL Document Store, and converting JSON data temporarily into structured (SQL) data for processing with SQL commands.

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