1. The document discusses GraphQL, an API query language created by Facebook. It introduces GraphQL concepts like queries, mutations, and subscriptions.
2. An example compares fetching data from a REST API versus a GraphQL API. GraphQL allows fetching all required data with a single request, whereas REST requires multiple requests.
3. React and GraphQL are a good fit because GraphQL is declarative, allowing developers to focus on what data is needed rather than how to fetch it. Popular GraphQL clients like Apollo make fetching data even more declarative.
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
This document provides an introduction to GraphQL, including its history and key concepts. It discusses how GraphQL works with queries and mutations, schemas and types, validations and executions. Comparisons are made between GraphQL and REST. Examples of GraphQL queries and schemas are shown. Benefits of GraphQL include minimal code changes, no need for versioning, and handling client-specific data with one endpoint. Disadvantages include lack of "select *" and potential for large argument objects. Major companies using GraphQL are cited.
GraphQL: Enabling a new generation of API developer toolsSashko Stubailo
This document discusses the history and benefits of GraphQL as an API layer between frontends and backends. It provides examples of how GraphQL allows flexible queries to get only necessary data, and describes tools like GraphiQL, static query analysis, code generation and dev tools that improve the developer experience. GraphQL provides a shared language for frontend and backend teams to communicate about data requirements and optimize performance.
This document introduces GraphQL, describing what it is and isn't. It explains that GraphQL is not a query language like SQL, but rather specifies fields that can be resolved through code. The document provides examples of GraphQL schemas, queries, and mutations. It also discusses GraphQL integration with various technologies like Relay and Java libraries. Finally, it demonstrates GraphQL tooling like GraphiQL and an example DX integration.
This document is a presentation on GraphQL fundamentals. It was created by Virbhadra S. Ankalkote from BORN Group. The presentation covers what GraphQL is, who created it, why it was created, and how it works. It defines GraphQL as a query language for APIs that fulfills queries with existing data. It notes that Facebook developed GraphQL in 2012 for their native mobile app. In comparison to REST APIs, GraphQL allows clients to get precisely the data they need in one request. The presentation explains the GraphQL specification and includes sections on reading and writing data, using variables and fragments, and limitations such as indefinite querying depth.
GraphQL as an alternative approach to REST (as presented at Java2Days/CodeMon...luisw19
Originally designed by Facebook to allow its mobile clients to define exactly what data should be send back by an API and therefore avoid unnecessary roundtrips and data usage, GraphQL is a JSON based query language for Web APIs. Since it was open sourced by Facebook in 2015, it has undergone very rapid adoption and many companies have already switch to the GraphQL way of building APIs – see http://GraphQL.org/users.
However, with some many hundreds of thousands of REST APIs publicly available today (and many thousands others available internally), what are the implications of moving to GraphQL? Is it really worth the effort of replacing REST APIs specially if they’re successful and performing well in production? What are the pros/cons of using GraphQL? What tools / languages can be used for GraphQL? What about API Gateways? What about API design?
With a combination of rich content and hands-on demonstrations, attend this session for a point of view on how address these and many other questions, and most importantly get a better understanding and when/where/why/if GraphQL applies for your organisation or specific use case.
This document provides an overview of GraphQL, including:
- GraphQL allows clients to request specific data fields from an API rather than entire resources.
- It addresses limitations of REST such as multiple requests being needed to get related data.
- Many large companies use GraphQL including Facebook, GitHub, and Yelp.
- GraphQL has a type system including object, query, mutation, scalar and other types.
- Examples demonstrate basic GraphQL syntax and concepts like fields, arguments, and fragments.
- Additional resources are provided for learning more about GraphQL.
GraphQL is a wonderful abstraction for describing and querying data. Apollo is an ambitious project to help you build apps with GraphQL. In this talk, we'll go over how all the parts—Client, Server, Dev Tools, Codegen, and more—create an end-to-end experience for building apps on top of any data.
## Detailed description
In today's development ecosystem, there are tons of options for almost every part of your application development process: UI rendering, styling, server side rendering, build systems, type checking, databases, frontend data management, and more. However, there's one part of the stack that hasn't gotten as much love in the last decade, because it usually falls in the cracks between frontend and backend developers: Data fetching.
The most common way to load data in apps today is to use a REST API on the server and manage the data manually on the client. Whether you're using Redux, MobX, or something else, you're usually doing everything yourself—deciding when to load data, how to keep it fresh, updating the store after sending updates to the server, and more. But if you're trying to develop the best user experience for your app, all of that gets in the way; you shouldn't have to become a systems engineer to create a great frontend. The Apollo project is based on the belief that data loading doesn't have to be complicated; instead, you should be able to easily get the data you want, when you want it, and it should be managed for you just like React manages updating your UI.
Because data loading touches both the frontend and backend of your app, GraphQL and Apollo have to include many parts to fulfill that promise of being able to seamlessly connect your data together. First, we need client libraries not only for React and JavaScript, but also for native iOS and Android. Then, we must bring server-side support for GraphQL queries, mutations, and most recently subscriptions to every server technology and make those servers easier to write. And finally, we want not only all of the tools that people are used to with REST APIs, but many more thanks to all of the capabilities enabled by GraphQL.
In this talk, we'll go over all of the parts of a GraphQL-oriented app architecture, and how different GraphQL and Apollo technologies come together to solve all of the parts of data loading and management for React developers.
This talk introduces Spring's REST stack - Spring MVC, Spring HATEOAS, Spring Data REST, Spring Security OAuth and Spring Social - while refining an API to move higher up the Richardson maturity model
- GraphQL is a query language and runtime for APIs that provides better performance, flexibility, and developer experience compared to REST. It allows clients to define exactly the structure and relations between data needed from the server.
- A GraphQL server is defined by a schema that specifies the types of objects and the fields they contain. Resolvers retrieve data and are independent of data sources. This allows GraphQL to work with various databases and services.
- Client-side frameworks like Relay and Apollo utilize GraphQL's capabilities by batching queries to minimize requests. The ecosystem is growing rapidly with server and client implementations in many languages.
GraphQL is an application layer query language developed by Facebook that allows clients to define queries for retrieving multiple resources from an API in a single request. It uses a type system and schema to define the data and operations available. GraphQL aims to solve issues with REST APIs like over-fetching and under-fetching data by allowing clients to specify exactly what data they need.
Swagger UI enables generating documentation for RESTful APIs that is updated as the server code changes. It works with Spring Boot by adding dependencies, a configuration file, and annotations. This exposes API endpoints in the browser for testing and provides descriptive documentation of each service's title, function, inputs, and outputs.
Max Panas (Web Developer @Agile Actors) and Stelios Charbalis (Software Engineer @Agile Actors) present GraphQL and how it compares to traditional REST API design at GreeceJS Meetup #14 (Athens, June 15, 2016).
Tutorial: Building a GraphQL API in PHPAndrew Rota
This document discusses building a GraphQL API in PHP. It provides an overview of GraphQL concepts like queries, fields, types and schemas. It then outlines the steps to build a GraphQL API in PHP using the graphql-php library:
1. Define object types and the Query root type in the schema
2. Initialize the GraphQL schema instance
3. Execute GraphQL queries against the schema and return the result
By following these steps, one can build an API for querying a database of PHP conferences and speakers to understand how to build GraphQL APIs in PHP.
Microservice With Spring Boot and Spring CloudEberhard Wolff
Spring Boot and Spring Cloud are an ideal foundation for creating Microservices based on Java. This presentation explains basic concepts of these libraries.
Angular 14: What's new! explore in-depth the features of Angular 14 and learn how to get started with it. Angular 14 has been released with several significant features.
1. The document introduces serverless GraphQL backends using Graphcool, a framework that allows building serverless GraphQL APIs.
2. Key features of Graphcool include automatically generating CRUD APIs from a data model, an event-driven core to implement business logic, and global type safety defined by the GraphQL schema.
3. Serverless functions in Graphcool can be used to implement subscriptions that trigger asynchronous events, as well as custom resolvers for queries and mutations.
This document provides an introduction and overview of GraphQL, including examples of how GraphQL compares to REST for fetching data from an API. Key points include:
- GraphQL is a new API query language created by Facebook that allows clients to fetch and update data in a declarative way.
- GraphQL allows clients to fetch multiple related data types in one request, whereas REST typically requires multiple endpoints and requests.
- The document demonstrates building a blogging app example using REST versus GraphQL to fetch user, post, and follower data.
- Other GraphQL concepts covered include mutations for writing data, query variables, subscriptions for real-time updates, and exploring GraphQL with a playground.
-
The Serverless GraphQL Backend ArchitectureNikolas Burk
This document discusses serverless GraphQL backend architectures. It introduces GraphQL concepts like queries, mutations, schemas and resolver functions. It then outlines how a serverless GraphQL backend can be built using automatically generated CRUD APIs from a data model, event-driven business logic via serverless functions, and a global type system defined in the GraphQL schema. It provides Graphcool as an example platform for building serverless GraphQL backends that leverages request pipelines, subscriptions and schema extensions.
The document discusses building a realtime chat application with GraphQL subscriptions. It begins with an introduction to GraphQL and an example of how a blogging application's data could be modeled with GraphQL queries. It then covers how realtime updates can be implemented with GraphQL subscriptions. The remainder discusses building a chat application with React, Apollo Client, and server-side subscriptions using Graphcool.
GraphQL Schema Stitching with Prisma & ContentfulNikolas Burk
GraphQL schema stitching allows combining multiple GraphQL APIs into a single API. It uses schema delegation under the hood. Prisma is a GraphQL API layer that can be used to stitch a headless Contentful CMS with a database. This provides a unified GraphQL API and makes building complex apps and managing content easier. The presentation demonstrated exploring Contentful's GraphQL API with bindings, auto-generated clients, and stitching Contentful to a database with Prisma.
GraphQL and its schema as a universal layer for database accessConnected Data World
GraphQL is a query language mostly used to streamline access to REST APIs. It is seeing tremendous growth and adoption, in organizations like Airbnb, Coursera, Docker, GitHub, Twitter, Uber, and Facebook, where it was invented.
As REST APIs are proliferating, the promise of accessing them all through a single query language and hub, which is what GraphQL and GraphQL server implementations bring, is alluring.
A significant recent addition to GraphQL was SDL, its schema definition language. SDL enables developers to define a schema governing interaction with the back-end that GraphQL servers can then implement and enforce.
Prisma is a productized version of the data layer leveraging GraphQL to access any database. Prisma works with MySQL, Postgres, and MongoDB, and is adding to this list.
Prisma sees the GraphQL community really coming together around the idea of schema-first development, and wants to use GraphQL SDL as the foundation for all interfaces between systems.
GraphQL has grown out of its baby shoes and is becoming the new standard for client-server communication. When it was introduced 2 years ago, there merely was any tooling that would help developers using it except for Facebook's reference implementation in JavaScript as well as corresponding middleware for Express so you could embed it in your web server. By now, the situation has changed drastically and a plethora of tools, libraries and services have entered the GraphQL ecosystem, providing great improvements to workflows and overall developer experience. In this talk, Nikolas will give an overview of the most relevant tools that exist in the GraphQL ecosystem today, ensuring you can make the best choices when starting your own GraphQL journey.
GraphQL is an application layer query language from Facebook. With GraphQL, you can define your backend as a well-defined graph-based schema. Then client applications can query your dataset as they are needed. GraphQL’s power comes from a simple idea — instead of defining the structure of responses on the server, the flexibility is given to the client. Will GraphQL do to REST what REST did to SOAP?
GraphQL with .NET Core Microservices.pdfKnoldus Inc.
In this Webinar, will talk on GraphQL with .NET, that provides a modern and flexible approach to building APIs. It empowers developers to create efficient and tailored APIs that meet the specific needs of their applications and clients.
GraphQL - when REST API is to less - lessons learnedMarcinStachniuk
This document discusses a presentation about GraphQL and lessons learned from implementing GraphQL APIs. The presentation covers why GraphQL is useful compared to REST APIs, GraphQL concepts like queries and mutations, and examples of implementing GraphQL in Java. It also discusses challenges with REST APIs like over-fetching data, rigid contracts that don't adapt to different clients, and challenges with API versioning.
The document provides an overview of GraphQL and GraphQL clients. It discusses:
- The evolution of APIs from RESTful to GraphQL, which provides a more efficient way to query complex data.
- How GraphQL uses a single endpoint and allows clients to specify exactly the data they need through queries.
- Basic GraphQL queries, including selecting fields, nested fields, arguments, variables, fragments, and mutations.
- GraphQL type definitions that serve as documentation.
- GraphQL clients like Relay that optimize data fetching and caching.
- Tools like GraphiQL that allow testing GraphQL queries in an interactive environment.
MongoDB.local Berlin: Building a GraphQL API with MongoDB, Prisma and TypescriptMongoDB
This document discusses building GraphQL APIs with MongoDB, Prisma and TypeScript. It begins with introductions to GraphQL and understanding GraphQL servers, including defining schemas and resolver functions. It then covers using Prisma as an ORM for MongoDB to provide type-safe database access and simplify workflows like migrations and queries. Finally, it promotes GraphQL Yoga as a framework that combines Prisma and GraphQL for building modern backends with full type-safety and deep database integration.
A small attempt to deliver a session on GraphQL Introduction.
I have prepared small Demo by using below technologies: Spring Boot, h2 Database (Server)
Angular 8, Apollo GraphQL Client
GraphQL is a query language for APIs that was created by Facebook in 2012. It allows clients to define the structure of the data required, and exactly the data they need from the server. This prevents over- and under-fetching of data. GraphQL has grown in popularity with the release of tools like Apollo and GraphQL code generation. GraphQL can be used to build APIs that integrate with existing backend systems and databases, with libraries like Express GraphQL and GraphQL Yoga making it simple to create GraphQL servers.
Building GraphQL Servers with Node.JS & PrismaNikolas Burk
This document discusses building GraphQL servers with Node.js and Prisma. It introduces GraphQL and its benefits like querying exact data needs. It also outlines the three parts of a GraphQL server: the schema, resolver functions, and network layer. It then provides an example of building a clone of the Medium API from scratch in steps, starting with a minimal GraphQL server and adding database integration with Prisma and completing the API operations. The document encourages following along with the code examples provided in the GitHub repository. It also mentions Prisma is hiring.
This document introduces GraphQL, comparing it to REST. It discusses GraphQL concepts like queries, mutations, and subscriptions. It provides examples of GraphQL queries. It also demonstrates how to implement GraphQL in Node.js and lists GraphQL libraries and third-party services. Live demos are linked to show GraphQL usage.
[DevCrowd] GraphQL - gdy API RESTowe to za małoMarcinStachniuk
Slajdy z konferencji DevCrowd
Wszyscy znamy architekturę REST do definiowania API naszych aplikacji. Jednak REST ma swoje wady i ograniczenia. To dlatego Facebook stworzył GraphQL jako alternatywę. W mojej prezentacji przedstawię ograniczenia RESTa i jak je rozwiązuje GraphQL. Pokażę składnię, zalety jak i wady. Będzie też o tym jak zaimplementować GraphQL w Javie oraz co jeszcze warto o nim wiedzieć.
Build GraphQL APIs with Graphene (Big Mountain Data & Dev 2019)Ayla Khan
Learn about the GraphQL query language, how it compares to REST, and how to build GraphQL APIs in Python using the Graphene library and Flask. Code examples provided on GitHub.
Next-generation API Development with GraphQL and PrismaNikolas Burk
This document summarizes a presentation about next-generation API development with GraphQL and Prisma. The presentation covers an introduction to GraphQL, understanding GraphQL servers, and building GraphQL servers with Prisma and Nexus. Key points include: GraphQL is a query language for APIs that allows clients to request specific data in a single request; Prisma helps implement GraphQL resolvers against a database by providing type-safe database access, migrations, and other tools; Prisma and GraphQL work well together by saving boilerplate and ensuring end-to-end type safety from database to frontend.
Code-first GraphQL Server Development with PrismaNikolas Burk
This document discusses code-first and SDL-first approaches to building GraphQL schemas and servers. It defines the terminology and compares the two approaches. Code-first involves programmatically defining types and resolvers, while SDL-first uses a string-based schema definition language. Both have tradeoffs like inconsistencies or lack of tooling for SDL-first, and lack of documentation for code-first. Prisma is introduced as a tool that can generate a GraphQL schema from a database using either approach. The document concludes with a demonstration of building a GraphQL server and schema with Prisma and Nexus using a code-first approach.
The document discusses Prisma and GraphQL. It provides an overview of GraphQL concepts like schema, queries, and resolvers. It then covers the typical architecture of a GraphQL server including the schema definition, resolver functions, and server setup. Finally, it introduces Prisma as a database access layer that can be used to build GraphQL servers.
Managing GraphQL servers with AWS Fargate & Prisma CloudNikolas Burk
The document discusses managing GraphQL servers with AWS Fargate and Prisma Cloud. It begins with introductions to GraphQL and the core mechanics of a GraphQL server, including the schema, resolver functions, and setup. It then demonstrates building GraphQL servers with Prisma, and managing them using AWS Fargate and the Prisma Cloud service, which provides workflows for server management. Live demonstrations are included.
State Management & Unidirectional Data FlowNikolas Burk
The document discusses state management and unidirectional data flow in applications. It describes some issues with the traditional MVC pattern for state management. The main concepts of unidirectional data flow are then introduced, including the store, actions, and reducers. An example is provided of how application state can be updated in response to actions via a reducer function. Resources for further learning about unidirectional data flow approaches like Flux and Redux are also listed.
Authentication, Authorization & Error Handling with GraphQLNikolas Burk
The document discusses authentication, authorization, and error handling in GraphQL. It begins with an introduction to GraphQL concepts like schemas, queries, and mutations. It then covers challenges with authentication and authorization in GraphQL, and how errors are returned in the GraphQL specification. The presentation demonstrates examples of error handling and authorization using permission queries. It concludes by sharing additional resources and announcing job openings.
The document is a presentation on Relay Modern by Nikolas Burk. The presentation covers:
1. A brief history of Relay including its origins at Facebook and the introduction of Relay Modern.
2. How Relay enables declarative data fetching with GraphQL by describing data dependencies rather than manually constructing requests.
3. How mutations are handled in Relay Modern using the commitMutation function and updating the cache through updaters.
Building a Realtime Chat with React Native (Expo) & GraphQL Subscriptions Nikolas Burk
The code example for this talk can be found here: https://github.com/graphcool-examples/react-native-graphql/tree/master/subscriptions-with-expo-and-apollo-chat
Building a Realtime Chat with React & GraphQL Subscriptions Nikolas Burk
This document summarizes a presentation about building a real-time chat application with React and GraphQL subscriptions. It introduces GraphQL concepts like schemas, queries, and mutations. It then discusses how GraphQL subscriptions enable real-time functionality through websockets. The presentation demonstrates building a chat app with React components and the Apollo Client for networking, caching, and subscriptions. It also promotes upcoming GraphQL events and opportunities to get involved in the GraphQL community.
REST in Peace - Using GraphQL with Apollo on iOSNikolas Burk
This document discusses GraphQL versus REST and using GraphQL on iOS with the Apollo Client. It provides examples of fetching conference and attendee data from a REST API that requires multiple requests, and shows how the same data can be fetched with a single GraphQL query. It then outlines major features of the Apollo iOS Client like static type generation, caching, and query watching that make it similar to using AlamoFire for GraphQL APIs. Finally, it indicates a demo of these concepts will be shown.
Non-Functional Testing Guide_ Exploring Its Types, Importance and Tools.pdfkalichargn70th171
Are you looking for ways to ensure your software development projects are successful? Non-functional testing is an essential part of the process, helping to guarantee that applications and systems meet the necessary non-functional requirements such as availability, scalability, security, and usability.
In this session, we explored setting up Playwright, an end-to-end testing tool for simulating browser interactions and running TestBox tests. Participants learned to configure Playwright for applications, simulate user interactions to stress-test forms, and handle scenarios like taking screenshots, recording sessions, capturing Chrome dev tools traces, testing login failures, and managing broken JavaScript. The session also covered using Playwright with non-ColdBox sites, providing practical insights into enhancing testing capabilities.
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Explore the rapid development journey of TryBoxLang, completed in just 48 hours. This session delves into the innovative process behind creating TryBoxLang, a platform designed to showcase the capabilities of BoxLang by Ortus Solutions. Discover the challenges, strategies, and outcomes of this accelerated development effort, highlighting how TryBoxLang provides a practical introduction to BoxLang's features and benefits.
Sami provided a beginner-friendly introduction to Amazon Web Services (AWS), covering essential terms, products, and services for cloud deployment. Participants explored AWS' latest Gen AI offerings, making it accessible for those starting their cloud journey or integrating AI into coding practices.
Lots of bloggers are using Google AdSense now. It’s getting really popular. With AdSense, bloggers can make money by showing ads on their websites. Read this important article written by the experienced designers of the best website designing company in Delhi –
How to debug ColdFusion Applications using “ColdFusion Builder extension for ...Ortus Solutions, Corp
Unlock the secrets of seamless ColdFusion error troubleshooting! Join us to explore the potent capabilities of Visual Studio Code (VS Code) and ColdFusion Builder (CF Builder) in debugging. This hands-on session guides you through practical techniques tailored for local setups, ensuring a smooth and efficient development experience.
In this session, we explored how the cbfs module empowers developers to abstract and manage file systems seamlessly across their lifecycle. From local development to S3 deployment and customized media providers requiring authentication, cbfs offers flexible solutions. We discussed how cbfs simplifies file handling with enhanced workflow efficiency compared to native methods, along with practical tips to accelerate complex file operations in your projects.
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WhatsApp Tracker Software is an effective tool for remotely tracking the target’s WhatsApp activities. It allows users to monitor their loved one’s online behavior to ensure appropriate interactions for responsive device use.
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YouTube SEO Mastery ......................islamiato717
### Introduction
#### The Importance of YouTube SEO
In the digital age, video content has emerged as a dominant force, capturing the attention of billions of people worldwide. YouTube, the second largest search engine after Google, plays a crucial role in this landscape. With over 2 billion logged-in monthly users and more than a billion hours of video watched each day, YouTube is a platform of immense potential for content creators, businesses, and influencers alike.
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#### Why SEO Matters for YouTube
Search Engine Optimization (SEO) has long been a critical component of online success, predominantly associated with websites and Google searches. However, its principles are equally vital for video content. YouTube’s algorithm considers various factors when ranking videos, including relevance, engagement, watch time, and click-through rate (CTR). By understanding and leveraging these factors, you can improve your video's position in search results and recommended lists.
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#### Overview of YouTube SEO
This book is designed to be a comprehensive guide to mastering YouTube SEO. We will
Are you wondering how to migrate to the Cloud? At the ITB session, we addressed the challenge of managing multiple ColdFusion licenses and AWS EC2 instances. Discover how you can consolidate with just one EC2 instance capable of running over 50 apps using CommandBox ColdFusion. This solution supports both ColdFusion flavors and includes cb-websites, a GoLang binary for managing CommandBox websites.
7. Mary
Mary’s posts:
Learn GraphQL Today
Why GraphQL is better than
REST
React & GraphQL - A declarative
love story
Relay vs Apollo - GraphQL
clients
Last three followers:
John, Alice, Sarah
Example: Blogging App
8. Example: Blogging App with REST
/users/<id>
/users/<id>/posts
/users/<id>/followers
3 API endpoints
9. 1 Fetch user data
/users/<id>/users/<id>
/users/<id>/posts
/users/<id>/followers
{
“user”: {
“id”: “er3tg439frjw”
“name”: “Mary”,
“address”: { … },
“birthday”: “July 26, 1982”
}
}
HTTP GET
Mary
Mary’s posts:
Last three followers:
10. 2
/users/<id>
/users/<id>/posts
/users/<id>/followers
Fetch posts
HTTP GET
{
“posts”: [{
“id”: “ncwon3ce89hs”
“title”: “Learn GraphQL today”,
“content”: “Lorem ipsum … ”,
“comments”: [ … ],
}, {
“id”: “dsifr3as0vds”
“title”: “React & GraphQL - A declarative love story”,
“content”: “Lorem ipsum … ”,
“comments”: [ … ],
}, {
“id”: “die5odnvls1o”
“title”: “Why GraphQL is better than REST”,
“content”: “Lorem ipsum … ”,
“comments”: [ … ],
}, {
“id”: “dovmdr3nvl8f”
“title”: “Relay vs Apollo - GraphQL clients”,
“content”: “Lorem ipsum … ”,
“comments”: [ … ],
}]
}
Mary
Mary’s posts:
Learn GraphQL Today
Why GraphQL is better than REST
React & GraphQL - A declarative
love story
Relay vs Apollo - GraphQL clients
Last three followers:
11. /users/<id>
/users/<id>/posts
/users/<id>/followers
HTTP GET
{
“followers”: [{
“id”: “leo83h2dojsu”
“name”: “John”,
“address”: { … },
“birthday”: “January 6, 1970”
},{
“id”: “die5odnvls1o”
“name”: “Alice”,
“address”: { … },
“birthday”: “May 1, 1989”
}{
“id”: “xsifr3as0vds”
“name”: “Sarah”,
“address”: { … },
“birthday”: “November 20, 1986”
}
…
]
}
Mary
Mary’s posts:
Learn GraphQL Today
Why GraphQL is better than REST
React & GraphQL - A declarative
love story
Relay vs Apollo - GraphQL clients
Last three followers:
John, Alice, Sarah
Fetch followers3
13. Mary’s posts:
Last three followers:
Fetch everything with a single request1
HTTP POST
query {
User(id: “er3tg439frjw”) {
name
posts {
title
}
followers(last: 3) {
name
}
}
}
14. Mary’s posts:
Last three followers:
Mary
Learn GraphQL Today
Why GraphQL is better than REST
React & GraphQL - A declarative
love story
Relay vs Apollo - GraphQL clients
John, Alice, Sarah
Fetch everything with a single request1
HTTP POST
{
“data”: {
“User”: {
“name”: “Mary”,
“posts”: [
{ title: “Learn GraphQL today” },
{ title: “React & GraphQL - A declarative love story” }
{ title: “Why GraphQL is better than REST” }
{ title: “Relay vs Apollo - GraphQL Clients” }
],
“followers”: [
{ name: “John” },
{ name: “Alice” },
{ name: “Sarah” },
]
}
}
}
39. Why is GraphQL declarative?
• describing data operations with dedicated
language
• core primitives: Queries & Mutations
• DSL for working with data
@nikolasburk
40. Declarative programs…
@nikolasburk
… are using dedicated abstractions to express goals
… lead to more expressive and concise code
… make your programs easier to reason about
41. GraphQL Clients
• provide convenience API for sending queries &
mutations
• take caring of managing the cache
• more handy features like optimistic UI, lower-
level networking, realtime subscriptions…
@nikolasburk
42. Relay vs Apollo Client
• open-sourced alongside
GraphQL in 2015
• optimized for performance
and reducing network traffic
• notable learning curve
• community-driven
• easy-to-understand with
intuitive abstractions
• available on several platforms
43. From imperative to declarative
data fetching
1. construct and send HTTP request
(e.g. with fetch)
2. receive and parse server response
3. store data locally (e.g. Redux)
4. display information in the UI
Imperative data fetching
44. From imperative to declarative
data fetching
1. pass data requirements to
GraphQL client
2. display information in the UI
Declarative data fetching