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In the world of internet-driven information consumption, sluggish, and non-contextual internet response on requested information is a huge mood swinger. To solve this problem in web and mobile applications, in 2012, Facebook invented an alternative to the long prevalent REST API and called it GraphQL. GraphQL is a data query language that increases developer productivity and reduces the amount of data transferred in the API requests. After proving this advantage, Facebook open-sourced it in 2015 and since then it has been used by many companies like Github, New York Times, PayPal in applicatio
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Background In the world of internet-driven information consumption, sluggish, and non-contextual internet response on requested information is a huge mood swinger. To solve this problem in web and mobile applications, in 2012, Facebook invented an alternative to the long prevalent RESTAPI Testingand called it GraphQL. GraphQL is a data query language that increases developer productivity and reduces the amount of data transferred in the API requests. After proving this advantage, Facebook open-sourced it in 2015 and since then it has been used by many companies like Github, New York Times, PayPal in application development.
Advantages of GraphQL • Universal data translationGraphQL has a huge positive implication on the developer community as a whole, because it removes errors between applications and servers, and helps incomplete data translation between various applications. This removes the bottleneck and pressure on the end application developers to ensure compatibility. Close to 100%, GraphQL requires an organized schema which in itself becomes a document. • Schema-based data definitionOnce the schema is defined, GraphQL considers it as a model with all the properties. It does not require to specify data requirements at the server-side and hence based on the schema data definition happens on the client-side. Thus, prototyping becomes much faster. This is apparent from the fact that emerging product companies are relying on GraphQL. Fore more information click here
Limitation of GraphQL • GraphQL queries do not return a specific error message, thus impacting the stack trace. Without specific errors from the failed request, monitoring and error handling becomes complex. • GraphQL does not leverage native HTTP caching to avoid re-fetching of the resource. One needs to set up one’s own caching support. If the application handles rapidly changing data, then the company must deploy dedicated resources for API testing restructuring to handle this complexity. Explore more at : https://www.webomates.com/
