GraphQL and Android
by Mark L. Murphy
English | 2018 | 264 Pages | True PDF,EPUB,MOBI (ver 0.3) | 10 MB
Copyright © 2016-2017 CommonsWare,LLC. All Rights Reserved.
Printed in the United States of America.
Printing History:
August 2017: Version 0.3
The CommonsWare name and logo,“Busy Coder’s Guide”,and related trade dress are trademarks of CommonsWare,
LLC.
All other trademarks referenced in this book are trademarks of their respective firms.
The publisher and author(s) assume no responsibility for errors or omissions or for damages resulting from the use of the
information contained herein.
GraphQL is a rapidly-ascending alternative to REST for implementing Web services. Developed by Facebook,GraphQL is popular in Web development. And,where Web service development goes,mobile app development — including Android — inevitably follows.
This book helps you understand what GraphQL is and how to communicate with a GraphQL server,both in terms of GraphQL specifications and syntax and in terms of Android code for reaching those servers.
At the present time,this book is in a “beta” state. Updates via the Warescription will be fairly rapid until the book reaches version 1.0,at which time it will be updated every few months.
Contents
Preface
GraphaL in Five Minutes
The Role of GraphaL
Top-Level GraphQL Terms
GraphQL Test Environments
Basic Dynamic GraphaL in Android
Basic Static GraphaL in Android
Objects,Fields,and Types
Fragments
Arguments and Variables
Aliases
Interfaces,Unions,and Inline Fragments
Miscellaneous GraphaL Syntax
Introspection
Authentication and the Viewer Pattern
Queries and Paging
Securing GraphaL
Testing GraphaL
Advanced Apollo-Android
Copyright Notice and Terms
GraphQL and Android Version 0.3.epub
GraphQL and Android Version 0.3.mobi
GraphQL and Android Version 0.3.pdf
GraphQL and Android Version 0.3
未经允许不得转载:finelybook » GraphQL and Android Version 0.3
相关推荐
- Intelligence in Chip: Integrated Sensors and Memristive Computing
- Super Study Guide: Algorithms & Data Structures
- Fuzzy Methods for Assessment and Decision Making
- Super Study Guide: Transformers & Large Language Models
- Artificial Intelligence and Machine Learning Foundations: Learning from Experience, 2nd Edition
- Data-Driven Analytics for Healthcare: Artificial Intelligence and Machine Learning for Medical Diagnostics