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MySQL & JSON A Practical Programming Guide: Second Edition - David Stokes - Bog

Bag om 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780578783246
  • Indbinding:
  • Paperback
  • Sideantal:
  • 224
  • Udgivet:
  • 9. oktober 2020
  • Størrelse:
  • 212x14x274 mm.
  • Vægt:
  • 546 g.
  • BLACK WEEK
Leveringstid: 2-3 uger
Forventet levering: 13. december 2024

Beskrivelse af 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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