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GraphQL- The Next-Gen Data Query Language
GraphQL can be defined as a data query language developed by Facebook in the year 2015. This language is exceptionally flexible and contains numerous benefits for your apps and websites. GraphQL can be termed as a syntax that represents how to ask for data and retrieve it. This language is generally used to load data from a server to a client. GraphQL enables the client to specifically state the data prerequisite. It collects data from multiple sources easily and aggregates it to a single destination utilizing a typer system to describe data.
GraphQL helps you to completely understand the description of the data in your API. It provides clients with the authority to state their needs accurately making it easier to evolve APIs over time.
The major benefit of GraphQL is that it refrains from the use of endpoints and organizes data in terms of types and fields. The GraphQL schema serves as a strong mainstay of every GraphQL. These APIs specifically depict the operations supported by the GraphQL APIs. The schema of GraphQL showcases the potential that these APIs carry.
GraphQL schemas are drafted in the most uncomplicated and elementary format including input arguments and responses. It is written in (SDL) schema definition language that is highly supported by GraphQL. A schema plays the most substantial role in GraphQL as it saves the developers time and energy by auto-generating the API documentation saving the hassle of manually typing them and making the task smooth and convenient speeding up the process of product development.
GraphQL can be used with three AWS services namely:
- API Gateway: The API gateway can handle HTTP request to end response.
- DynamoDB: DynamoDB along with GraphQL is used to store data.
- Lambda: Lambda, when used with GraphQL, serves as an intermediate link between API gateways and DynamoDB.
The image describes the working of GraphQL, an HTTP request is sent by the client to the API gateway which transfers it to Lambda that is the link between the API gateway and DynamoDB. In the next step, Lambda sends the data to DynamoDB for storage. In the reverse action, DynamoDB now sends the stored and modified data back to Lambda which executes functions and fetches data from DynamoDB. The data is again sent back to the API gateway. From the API gateway, the data is sent to the client as an HTTP response.
GraphQL implementation is presently available in umpteenth no. of languages and a huge user clientele. Various tools such as Prisma, GraphQl faker, GraphQL playground, etc. incorporated with GraphQL deliver a coherent workflow making the developing experience worthwhile.