Qyrus User Documentaion
  • 👨‍💻API Testing
    • What is API?
    • Getting Started
    • Functional testing
    • Functional Assertions
    • Functional Reports
    • API to DB Assertion
    • API Process
    • Advanced Features
    • Emailing & Downloading Report
    • Execute JavaScript
    • Advanced Reports
    • Advanced Features
    • Build Test script
    • Parameterization
    • GraphQL
    • REST vs SOAP vs GraphQL
    • FAQs
    • Representational State Transfer API( REST API)
  • 📱Device Farm
    • Introduction
    • Getting Started
    • Project Creation & Setup
    • Manual Testing
    • Automation
    • Test Reports and Analysis
    • Element Explorer Feature for Appium Automation Testing
    • Integrations with Collaboration Tools
    • Interrupts
    • Supported Devices and Browsers List
    • Biometric Bypass Feature for Real Devices
    • File Upload Feature for Remote Real Devices
    • Frequently Asked Questions (FAQ)
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  1. API Testing

GraphQL

GraphQL is a query language and runtime for APIs that enables more efficient and flexible data retrieval and manipulation. It was developed by Facebook and is designed to address some of the limitations and inefficiencies of traditional REST APIs. GraphQL allows clients to request only the specific data they need, reducing over-fetching and under-fetching of data, and it provides a more predictable and structured way for clients to interact with APIs.

Key characteristics of GraphQL include:

  • Hierarchical Structure: GraphQL queries are structured as a hierarchical tree of fields. Clients can request exactly the data they need, and the server responds with data in the same shape as the query.

  • Single Endpoint: Unlike REST APIs that often have multiple endpoints for different resources, GraphQL typically has a single endpoint for all interactions. Clients specify what data they want in their queries, and the server responds accordingly.

  • Strongly Typed Schema: GraphQL APIs are defined by a schema that explicitly outlines the types of data available, the relationships between them, and the operations that can be performed. This schema acts as a contract between the client and the server.

  • Precise Data Retrieval: Clients can request multiple related pieces of data in a single query, avoiding the need to make multiple requests for different resources.

  • No Over-fetching or Under-fetching: Since clients specify the structure and content of their queries, they can avoid receiving more or less data than necessary, which can be a problem in REST APIs.

  • Mutations: GraphQL supports mutations, which are operations for modifying data on the server. This allows clients to create, update, or delete data as needed.

  • Real-time and Subscription Support: GraphQL has built-in support for real-time data updates and subscriptions. Clients can subscribe to specific events and receive updates when relevant data changes.

  • Introspection: The GraphQL schema itself is introspective, meaning clients can query the schema to discover the available types, fields, and operations.

  • Versioning: GraphQL APIs don't require versioning in the same way as REST APIs. Clients can evolve their queries over time without needing to rely on different API versions.

  • Tooling and Development Experience: GraphQL has a rich ecosystem of tools, libraries, and developer-friendly features that facilitate development and testing.

GraphQL's flexibility and efficiency make it particularly suitable for applications with complex data requirements, dynamic user interfaces, and the need for real-time updates. It empowers clients to retrieve exactly the data they need while also enabling more maintainable and adaptable APIs on the server side.

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