docs: Removed dgs, added pnpm, updated graphql
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radar/2022-10-12/dgs.md
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---
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title: "DGS Framework"
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ring: assess
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quadrant: tools
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featured: false
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---
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radar/2022-10-12/graphql.md
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---
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title: "GraphQL"
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ring: adopt
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quadrant: methods-and-patterns
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---
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[GraphQL](https://graphql.org/) 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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GraphQL isn't tied to any specific database or storage engine and is instead backed by your existing code and data.
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GraphQL was developed by Facebook around 2010 and released 2015.
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The main challenge it solves is to improve communication between browser and server on high dynamic web apps.
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The advantages are:
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* schema and schema validation together with a useful type system
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* the client (browser) controls what data should be sent (data reduction)
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* with one request you can fetch "all" required data
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Client side integration can be achieved using the [Apollo Client Framework](/tools/apollo-client.html) which easily integrates into
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[React.js](/languages-and-frameworks/react.html) based frontends.
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For [Spring Boot](https://spring.io/projects/spring-boot/) based backends [DGS](https://netflix.github.io/dgs/) provides a nice framework featuring:
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- an annotation-based programming model for Spring
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- a test framework for writing query tests as unit tests
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- a [Gradle](https://gradle.org/) code generation plugin to create types from a GraphQL schema in Java or Kotlin
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The framework [Flamingo offers support for GraphQL](https://docs.flamingo.me/3.%20Flamingo%20Modules/graphql.html) and also Flamingo Commerce offers a full featured GraphQL API for e-commerce features. ([Example GraphQL Console for Commerce](https://demoshop.flamingo.me/en/graphql-console))
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radar/2022-10-12/pnpm.md
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---
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title: "pnpm"
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ring: assess
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quadrant: tools
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featured: true
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---
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[pnpm](https://pnpm.io/motivation) is an alternative tool to manage your frontend dependencies. Unlike yarn 1 it manages all packages in a central place and
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creates symbolic links only inside the npm_modules of a project. This results in considerably less usage of disk space and reduces build-times, when a package
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is already available.
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Additionally a cache server can be setup and used during pipeline builds to decrease network traffic and build times.
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