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Reduce bandwidth demands on your APIs by getting only the results you need—all in a single request! The GraphQL query language simplifies interactions with web servers, enabling smarter API queries that can hugely improve the efficiency of data requests. In GraphQL in Action, you’ll learn how to bring those benefits to your own APIs, giving your clients the power to ask for exactly what they need from your server, no more, no less. Practical and example-driven, this book teaches everything you need to get started with GraphQL—from design principles and syntax right through to performance optimization.Provides a great overview to GraphQL. The explanations are clear and the code examples are extremely relevant.
About the Technology
The type-based GraphQL query language solves issues with over- or under-fetching data from an API, providing client apps with a predictable interface for interacting with a server. By organizing data as types and fields, GraphQL gives apps complete control over what they’re requesting, including data format, how much to fetch, and more. The result is faster transfer roundtrips, errors that are easier to spot, and virtually no need for clients to write time-consuming manual parsing code. Language-agnostic, GraphQL can be used with any language and incorporated easily into your existing stack.About the book
In GraphQL in Action, you’ll learn to use GraphQL to simplify interactions with your web servers and improve the performance of your data APIs. Twenty-year web development veteran Samer Buna starts by introducing GraphQL’s unique query-based API paradigm, laying out its unique design concepts and advantages over traditional APIs. From there, you’ll master the GraphQL way of creating APIs for hierarchical data, unlock easy ways to incorporate GraphQL into your existing codebase, and learn how to consume a GraphQL API with queries, mutations, and subscriptions using the GraphQL query language. When you’re done, you’ll have all the skills you need to get started writing and using scalable data APIs with GraphQL. GraphQL is a new paradigm. Are you ready?
Table of Contents takes you straight to the bookdetailed table of contents
Part 1: Exploring GraphQL
1 Introduction to GraphQL
1.1 What is GraphQL
1.1.1 The Big Picture
1.1.2 GraphQL is a specification
1.1.3 GraphQL is a language
1.1.4 GraphQL is a service
1.2 Why GraphQL
1.2.1 What about REST APIs?
1.2.2 The GraphQL Way
1.2.3 REST APIs and GraphQL APIs in action
1.3 GraphQL Problems
1.3.1 Security
1.3.2 Caching and Optimizing
1.3.3 Learning Curve
1.4 Summary
2 Exploring GraphQL APIs
2.1 The GraphiQL Editor
2.2 The Basics of the GraphQL Language
2.2.1 Requests
2.2.2 Fields
2.3 Examples from the GitHub API
2.3.1 1Reading Data From GitHub
2.3.2 Updating Data at GitHub
2.3.3 Introspective Queries
2.4 Summary
3 Customizing and Organizing GraphQL Operations
3.1 Customizing Fields with Arguments
3.1.1 Identifying a single record to return
3.1.2 Limiting the number of records returned by a list field
3.1.3 Ordering records returned by a list field
3.1.4 Paginating through a list of records
3.1.5 Searching and filtering
3.1.6 Providing input for mutations
3.2 Renaming Fields with Aliases
3.3 Customizing Responses with Directives
3.3.1 Variables and input value
3.3.2 The @include directive
3.3.3 The @skip directive
3.3.4 The @deprecated directive
3.4 GraphQL Fragments
3.4.1 Why fragments?
3.4.2 Defining and using fragments
3.4.3 Fragments and DRY
3.4.4 Fragments and UI components
3.4.5 Inline Fragments for Interfaces and Unions
3.5 Summary
Part 2: Building GraphQL
4 Designing Schema Models
4.1 Why AZdev
4.2 The API Requirements for AZdev
4.2.1 The Core Types
4.2.2 Queries
4.2.3 Mutations
4.2.4 Subscriptions
4.3 Designing the PostgreSQL Database Models
4.3.1 The User Model
4.3.2 The Need/Approach Models
4.4 Designing the MongoDB Models
4.4.1 The Approach Details Collection
4.5 Full Schema Text
4.6 Summary
5 Implementing Schema Resolvers
5.1 Node.js Drivers for PostgreSQL and MongoDB
5.1.1 Installing Dependencies
5.1.2 Environment Variables
5.1.3 Connecting To Databases
5.1.4 Loading Seed Data
5.2 Setting up a GraphQL Runtime
5.2.1 Creating the Schema Object
5.2.2 Creating Resolver Functions
5.2.3 Executing Requests
5.3 Communicating Over HTTP
5.4 Building a Schema Using Constructor Objects
5.4.1 Auto-restarting Node
5.4.2 The Top-level Query Type
5.4.3 Field Arguments
5.4.4 Custom Object Types
5.4.5 Custom Errors
5.5 Objects To Schema Language Conversion
5.5.1 The full-schema text vs the object-based methods
5.6 Working with Asynchronous Functions
5.7 Summary
6 Resolving Database Models and Relations
6.1 Listing all featured needs
6.1.1 Defining Object Types
6.1.2 The Context Object
6.1.3 Transforming Field Names
6.1.4 Transforming Field Values
6.1.5 Separating interactions with PostgreSQL
6.2 Resolving Relations
6.2.1 Resolving a One-to-One Relation
6.2.2 Resolving a One-to-Many Relation
6.3 Summary
7 Optimizing Data Fetching
7.1 Caching and Batching
7.1.1 The batch loading function
7.1.2 Defining and Using a DataLoader Instance
7.1.3 Adding Loader for Approaches
7.2 Using DataLoader with Custom IDs for Caching
7.2.1 The neadFeaturedList field
7.2.2 The search field
7.3 Using DataLoader with MongoDB
7.4 Single Resource Fields
7.5 The viewer Field
7.5.1 The needList Field
7.5.2 Dynamic Types
7.6 Summary
8 Implementing Mutations
8.1 The mutators Context Object
8.2 The Root Mutation Type
8.3 User Mutations:
8.3.1 The userCreate Mutation
8.3.2 The userLogin Mutation
8.4 Need Mutations
8.4.1 The needCreate Mutation
8.4.2 The needUpdate Mutation
8.5 Approach Mutations
8.5.1 The approachCreate Mutation
8.5.2 The approachVote mutation
8.6 Summary
Part 3: Using GraphQL
9 Using GraphQL Without a Client
10 Using GraphQL with Apollo
11 Using GraphQL with Relay
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