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  1. GraphQL | A query language for your API

    What is GraphQL? GraphQL is an open‑source query language for APIs and a server‑side runtime. It provides a strongly‑typed schema to define relationships between data, making …

  2. Introduction to GraphQL

    GraphQL is a query language for your API, and a server-side runtime for executing queries using a type system you define for your data. The GraphQL specification was open-sourced in 2015 …

  3. Queries - GraphQL

    GraphQL supports three main operation types—queries, mutations, and subscriptions. We have already seen several examples of basic queries in this guide, and on this page, you’ll learn in …

  4. Serving over HTTP - GraphQL

    Though not yet finalized, this draft specification acts as a single source of truth for GraphQL client and library maintainers, detailing how to expose and consume a GraphQL API using an HTTP …

  5. Schemas and Types | GraphQL

    The GraphQL type system describes what data can be queried from the API. The collection of those capabilities is referred to as the service’s schema and clients can use that schema to …

  6. Tools and Libraries | GraphQL

    Create a serverless GraphQL API based on your data sources (REST & Databases), Third-Party APIs, or any combination. Instead of writing a GraphQL server yourself, you can define …

  7. Getting Started - GraphQL

    There are many resources available to help you learn GraphQL, including this website. In our documentation, you’ll find a series of articles that explain essential GraphQL concepts and …

  8. GraphQL federation

    Meta (formerly Facebook), where GraphQL was created, has continued to use a monolithic GraphQL API since 2012. However, companies like Netflix, Expedia Group, Volvo, and …

  9. Response | GraphQL

    Now that you understand the different phases of a GraphQL request and how responses are provided to clients, head over to the Introspection page to learn about how a GraphQL server …

  10. Performance | GraphQL

    Monitoring a GraphQL API over time can provide insight into how certain operations impact API performance and help you determine what adjustments to make to maintain its health.

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