GraphQL

Oct 22, 20153 likes4,847 views

Joel Corrêa

This presentation explores the concepts around facebook query language for information retrieval & transformation.

GraphQL is a query language created by Facebook in 2012 which
provides a common interface between the client and the server for
data fetching and manipulations

Hierarchical
- "We don't think of data in terms of resource URLs, secondary keys,
or join tables; we think about it in terms of a graph of objects and
the models we ultimately use in our apps like NSObjects or JSON."
- The query is shaped just like the data it returns
- Natural way for clients to describe data requirements

Product‐centric
- Driven by the requirements of views and the front‐end
engineers that write them
- GraphQL starts with their way of thinking the requirements and
build the language and runtime necessary to enable that

Strong‐typing
- Every GraphQL server defines an application‐specific type
system
- Given a query, tools can ensure that the query is both syntactically
correct and valid within the GraphQL type system before execution
- At the development time, and the server can make certain
guarantees about the shape and nature of the response.

Client‐specified queries
- It is the client that is responsible for specifying exactly how it will consume
those published capabilities.
- These queries are specified at field‐level granularity
- In the majority of client‐server applications written without GraphQL, the
server determines the data returned in its various scripted endpoints. A
GraphQL query, on the other hand, returns exactly what a client asks for
and no more.

Introspective
- A GraphQL server’s type system must be queryable by the GraphQL
language itself

Version free
- When you're adding new product features, additional fields can be added to the
server, leaving existing clients unaffected. When you're unsetting older features,
the corresponding server fields can be deprecated but continue to function.
- Gradual, backward-compatible process which removes the need for an
incrementing version number
- Facebook still support three years of released Facebook applications on the same
version of our GraphQL API

Transport independent
HTTP is just one option - GraphQL is transport independent, so you can
use it with websockets or even mqtt.

- A powerful and productive environment for building client
applications
- Product developers and designers building applications against
working GraphQL servers can quickly become productive without
reading extensive documentation and with little or no formal
training.

References
- https://facebook.github.io/graphql/
- https://code.facebook.com/posts/1691455094417024/graphql-a-data-query-
language/
- https://www.youtube.com/watch?v=WQLzZf34FJ8
- JS Reference Server impl:
- https://github.com/graphql/graphql-js

In this presentation, Suraj Kumar Paul of Valuebound has walked us through GraphQL. Founded by Facebook in 2012, GraphQL is a data query language that provides an alternative to REST and web service architectures. Here he has discussed core ideas of GraphQL, limitations of RESTful APIs, operations, arguments, fragmentation, variables, mutations etc. ---------------------------------------------------------- Get Socialistic Our website: http://valuebound.com/ LinkedIn: http://bit.ly/2eKgdux Facebook: https://www.facebook.com/valuebound/

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.

Introduction to GraphQLRodrigo Prates

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.

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GraphQL IntroductionSerge Huber

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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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.

Introduction to GraphQLBhargav Anadkat

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.

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- 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.

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GraphQL is a specification created by Facebook that defines a query language for fetching data from backend services. It allows clients to request specific data fields from a server in a hierarchical manner and receive only the requested data. GraphQL queries are strongly typed and introspective, allowing clients to understand the structure of the returned data. While still in draft form, GraphQL is used in production by Facebook's mobile apps and provides advantages over traditional REST APIs by being more product-centric and client-driven.

GraphQL FundamentalsVirbhadra Ankalkote

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.

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This document provides an introduction and overview of GraphQL, including: - A brief history of GraphQL and how it was created by Facebook and adopted by other companies. - How GraphQL provides a more efficient alternative to REST APIs by allowing clients to specify exactly the data they need in a request. - Some key benefits of GraphQL like its type system, declarative data fetching, schema stitching, introspection, and versioning capabilities. - Some disadvantages like potential complexity in queries and challenges with rate limiting.

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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.

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Talk for FOSSASIA 2016 (http://2016.fossasia.org) ---- This talk will give a brief and enlightening look into how GraphQL can help you address common weaknesses that you, as a web / mobile developer, would normally face with using / building typical REST API systems. Let's stop fighting about whether we should implement the strictest interpretation of REST or how pragmatic REST-ful design is the only way to go, or debate about what REST is or what it should be. A couple of demos (In Golang! Yay!) will be shown that are guaranteed to open up your eyes and see that the dawn of liberation for product developers is finally here. Background: GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012. Hafiz Ismail (@sogko) is a contributor to Go / Golang implementation of GraphQL server library (https://github.com/graphql-go/graphql) and is looking to encourage fellow developers to join in the collaborative effort.

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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.

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WaffleCorp is a major provider of breakfast products available direct to consumer or through our strategic partnerships. The current implementation of the e-commerce platform is a monolithic Spring MVC application that serves data through a collection of REST APIs. Currently, the only provider of the REST API is our e-commerce web application. We've been tasked with opening up our APIs to our new iOS and Android apps, partner microservices, and IoT applications. The issue we ran into is that a REST API is not a one-size-fits-all approach. We need a more flexible solution to meet the requirements of all of our client applications. This is a perfect use case for the speed and flexibility of GraphQL. GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools. In this session, you’ll learn what GraphQL is and why you should consider it in your next project. You’ll learn how to use GraphQL in your Spring Boot applications by leveraging the Spring for GraphQL project. By the end of this session, you’ll understand how to stand up a GraphQL endpoint and request the data you need, and nothing more.

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Moje slajdy z prezentacji na GraphQL Wroclaw #3 https://www.meetup.com/GraphQL-Wroclaw/events/261828347/ Większość prezentacji dotyczących GraphQL opowiada o JavaSkryptowych narzędziach, natomiast mało kto mówi o tym jak korzystać z GraphQL w Javie. Prezentacja będzie o tym, jak sprawić aby nasz backendowy, Javowy serwer korzystał z GraphQL. Będzie o możliwych podejściach w implementacji, dobrych praktykach i 4-letnim doświadczeniu z GraphQL na produkcji.

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This document discusses GraphQL and its benefits over traditional REST APIs. It provides an example GraphQL query to fetch user data from Facebook's API, including the user's first and last name, number of events, friend suggestions, and number of mutual friends. It then lists some key features of GraphQL like real-time documentation, static type checking, and ability to avoid over- and under-fetching of data.

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GraphQL

1. GraphQL Joel Corrêa Software Engineer at @ilegra @joelcorrea_

2. GraphQL is a query language created by Facebook in 2012 which provides a common interface between the client and the server for data fetching and manipulations

3. Design considerations

4. Hierarchical - "We don't think of data in terms of resource URLs, secondary keys, or join tables; we think about it in terms of a graph of objects and the models we ultimately use in our apps like NSObjects or JSON." - The query is shaped just like the data it returns - Natural way for clients to describe data requirements

6. Product‐centric - Driven by the requirements of views and the front‐end engineers that write them - GraphQL starts with their way of thinking the requirements and build the language and runtime necessary to enable that

7. Strong‐typing - Every GraphQL server defines an application‐specific type system - Given a query, tools can ensure that the query is both syntactically correct and valid within the GraphQL type system before execution - At the development time, and the server can make certain guarantees about the shape and nature of the response.

8. Type system

9. Client‐specified queries - It is the client that is responsible for specifying exactly how it will consume those published capabilities. - These queries are specified at field‐level granularity - In the majority of client‐server applications written without GraphQL, the server determines the data returned in its various scripted endpoints. A GraphQL query, on the other hand, returns exactly what a client asks for and no more.

10. Introspective - A GraphQL server’s type system must be queryable by the GraphQL language itself

12. Version free - When you're adding new product features, additional fields can be added to the server, leaving existing clients unaffected. When you're unsetting older features, the corresponding server fields can be deprecated but continue to function. - Gradual, backward-compatible process which removes the need for an incrementing version number - Facebook still support three years of released Facebook applications on the same version of our GraphQL API

14. Transport independent HTTP is just one option - GraphQL is transport independent, so you can use it with websockets or even mqtt.

15. Goals

16. - A powerful and productive environment for building client applications - Product developers and designers building applications against working GraphQL servers can quickly become productive without reading extensive documentation and with little or no formal training.

17. Query

19. References - https://facebook.github.io/graphql/ - https://code.facebook.com/posts/1691455094417024/graphql-a-data-query- language/ - https://www.youtube.com/watch?v=WQLzZf34FJ8 - JS Reference Server impl: - https://github.com/graphql/graphql-js

GraphQL

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