Introduction to GraphQL
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GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data.
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Here are the steps to update the GraphQL schema and add sample data:
1. Add Author and Subject types to schema.graphql:
type Author {
id: ID!
name: String!
}
type Book {
# existing fields
}
type Subject {
name: String!
}
2. Add mutations to add authors and subjects:
mutation {
createAuthors(
input: [
{name: "Marty Cagan"},
{name: "Winston Graham"}
]
) {
authors {
name
}
}
createSubjects(
input: [
{name: "Product Management"},
{name: "Historical Fiction
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- Authentication
- Authorization
- Rate limiting
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Video : https://www.youtube.com/watch?v=Q0ccA3p5qPM&feature=youtu.be
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Apresentado na React Conf Brasil, em São Paulo, 7 de Outubro de 2017 #reactconfbr
I’ve been exploring the space of declarative developer tools and frameworks for over five years. Most recently, I was the founding member of the Apollo project at Meteor Development Group. My greatest passion is to make software development simpler, and enable more people to create software to bring good to the world.
https://medium.com/@stubailo
@stubailo
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- Afterparty: An English Thing
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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.
Introduction to Testing GraphQL Presentation
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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.
Modular GraphQL with Schema Stitching
What if you could create a GraphQL API by combining many smaller APIs? That's what we're aiming for with schema stitching, the new feature in the Apollo graphql-tools package.
Modern APIs with GraphQL
Discover how GraphQL can help you building and evolve your business APIs.
GraphQL is a query language for APIs developed internally by Facebook. It allows the developers to ask for exactly what they need and nothing more, making it easier to evolve APIs over time and create powerful developer tools around an API.
Presented by Helder Vasconcelos and Luis Gonçalves on 21st May 2019 @ Reactor Innovation Hub.
Powered by https://taikai.network
GraphQL Introduction
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.
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Introduction to GraphQL
- 1. Presented By: Addi Software Consultant Introduction to GraphQL
- 2. Lack of etiquette and manners is a huge turn off. KnolX Etiquettes Punctuality Respect Knolx session timings, you are requested not to join sessions after a 5 minutes threshold post the session start time. Feedback Make sure to submit a constructive feedback for all sessions as it is very helpful for the presenter. Silent Mode Please keep your screen on mute, until it's necessary Avoid Distraction Be along with the presenter during the session and enjoy.
- 3. Agenda ● Introduction to GraphQL ● Advantages over REST ● Schema ● Data Fetchers ● ● Demo
- 4. What is GraphQL? ● GraphQL is a query language for your API . ● “QL” stands for Query Language. ● GraphQL was developed internally by Facebook in 2012 before being publicly released in 2015.
- 6. Disadvantages over REST ● Using Graphql in simple application is hectic. ● When we needs to query asking for a lot of fields and resources. ● schemas are static and the response the clients are going to get depends on the schema definition and the query they make.
- 7. GraphQL Schema ● GraphQL API has a schema that defines each field that can be queried(i.e, “payload”). ● It is not JSON (even though it looks deliberately similar), it is a GraphQL schema. ● It defines each field that can be queried or mutated and what types those fields are.
- 8. GraphQL Schema type Query { songById(id: ID): Song } type Song { id: ID name: String genre: String artist: Artist } type Artist { id: ID firstName: String lastName: String }
- 9. GraphQL Datafetchers ● Data Fetcher is probably the most important concept for a GraphQL. ● A Data Fetcher is used to fetch data when it is executed in query. And whenever a query is executed GraphQL calls appropriate DataFetcher to get the data. ● It is an interface with a single method, taking a single argument of type.
- 10. Important Topics ● Graphql-java ● Db connection ● Runtime wiring
- 11. DEMO
- 12. Q/A
- 13. References ● https://www.graphql-java.com/documentation/v15/ ● https://graphql.org/learn/ ● https://graphql.org/code/#java
- 14. Thank You !