Graphql
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GraphQL is a data query and manipulation language that provides a single endpoint for fetching data from multiple sources. It allows clients to define their own data requirements and exposes data through a single schema. Some key benefits include fewer roundtrips to the server and allowing UI components to describe their own data dependencies. Apollo Client is commonly used with GraphQL and works well with Redux. It provides features like caching, refetching, and loading states. Development tools include Apollo devtools, GraphiQL, and ESLint plugins. Best practices include creating interfaces for pagination, handling authorization, error handling, and partial responses.
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Into to GraphQLshobot GraphQL is a query language for APIs that uses a type system to define queries and mutations. It originated at Facebook in 2011 to address issues with REST APIs like multiple round trips and misaligned data shapes. GraphQL allows clients to specify exactly what data they need in a single request, making it more efficient than REST. It has gained popularity with over 300 billion requests per day on Facebook and adoption by companies like GitHub for their APIs.
Graphql Intro (Tutorial and Example)
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- Relay uses GraphQL and allows defining data requirements and composing queries to fetch nested data in one roundtrip.
- Benefits include simpler API versioning since fields can be changed without breaking clients.
- Challenges include verbose code, lack of documentation, and not supporting subscriptions or local state management out of the box.
- Overall GraphQL aims to solve many data fetching problems but has a complex setup process and learning curve.
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How to GraphQL
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Workshops introduction presentation
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## 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.
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- 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.
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Graph ql vs rest api - Seven Peaks Software (Node.JS Meetup 18 nov 2021)
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Georgii was walk you through on GraphQL VS Rest API on our last Node.JS Meetup. There are several ways to create backend APIs. REST is the most common choice but it has some limitations. It’s where GraphQL comes as an alternative to REST.
For more info about Seven Peaks Software:
https://lnkd.in/g2jMsDy
Intro to GraphQL
Intro to GraphQLRakuten Group, Inc. Overview of GraphQL
How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
GraphQL in an Age of REST
GraphQL in an Age of RESTYos Riady 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
GraphqlNiv Ben David 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.
GraphQL London January 2018: Graphql tooling
GraphQL London January 2018: Graphql toolingSøren Bramer Schmidt This document discusses various GraphQL tooling options. It describes GraphQL Config as a common configuration format, the GraphQL CLI for tying together multiple tools, and GraphQL Playground for exploring schemas. It also outlines GraphQL Binding for reusing APIs, GrAMPS for building microservices, GraphQL Import for splitting schemas, Apollo Tracing for performance insights, and GraphQL Yoga as an all-in-one server implementation.
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GraphQL is a language-agnostic API gateway technology designed precisely to solve this mismatch between backend and frontend requirements. It provides a highly structured, yet flexible API layer that lets the client specify all of its data requirements in one GraphQL query, without needing to know about the backend services being accessed. Better yet, because of the structured, strongly typed nature of both GraphQL queries and APIs, it's possible to quickly get critical information, such as which objects and fields are accessed by which frontends, which clients will be affected by specific changes to the backend, and more.
In this talk, I'll explain what GraphQL is, what data management problems it can solve in an organization, and how you can try it today.
Adding GraphQL to your existing architecture
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In this talk, I talk about a future for GraphQL which builds on the idea that GraphQL enables lots of tools to work together seamlessly across the stack. I present this through the lens of 3 examples: Caching, performance tracing, and schema stitching.
Stay tuned for the video recording from GraphQL Summit!
How to GraphQL
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Workshops introduction presentation
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The Apollo and GraphQL Stack
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## 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.
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- 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.
Graph ql vs rest api - Seven Peaks Software (Node.JS Meetup 18 nov 2021)
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Georgii was walk you through on GraphQL VS Rest API on our last Node.JS Meetup. There are several ways to create backend APIs. REST is the most common choice but it has some limitations. It’s where GraphQL comes as an alternative to REST.
For more info about Seven Peaks Software:
https://lnkd.in/g2jMsDy
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How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
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- 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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