GraphQL

GraphQL – A Query Language and Server-Side Runtime Technology for APIs 

GraphSQL is a query language that allows you to access data from a domain on demand. We’ve used GraphQL in several applications. Our experience has been fantastic, and it works well when an application, such as a mobile app, requires the same API endpoint to provide hundreds of data. It only works well in other instances when we simply need to query a few fields in the API payload. 

GraphSQL also includes trade-offs and decisions, such as whether it is appropriate to build a new API endpoint. It’s often a good idea to create a separate specialized API for a particular circumstance. Alternatively, we could alter an existing API and include fields. The selection is based on the performance of the APIs as well as the construction effort.  

The more data fields an API accommodates, the less performant it gets. When utilizing GraphQL with several fields in the same API, we must be aware of performance implications since we are either returning or filtering superfluous data. When dealing with these cases, consider assessing the scalability and introducing some data caching, since it utilizes a single endpoint. 

It also fits well when we have a single endpoint serving multiple clients. As a result, each client uses the same API to query the same or different information from a business domain. As a result, GraphQL meets the primary goal since it is a general query language that allows anybody to get what each client requires from a business domain. 

Regarding data consumption, the format of the response payload is client-oriented since the structure is driven by the request parameters. GraphQL employs robust data types to guarantee that applications may only request what is feasible and that failures are explicit and valuable. 

The GraphQL architecture requires the server to adhere to Postel’s law: “Be liberal while accepting and conservative while giving.” 

GraphQL utilizes a single endpoint for all requests by specifying query and mutation. As a result, creating new functionality in GraphQL is quick, reducing total market time. Based on development experience, the technology is mature enough to give effective development tools for calling GraphQL queries and taking advantage of available payload changes by assisting with good IntelliSense and incorporated online documentation.