Time to create boilerplates and run them both. Both have to have a GraphQL Apollo Server. Let’s Dive Into the Code For the implementation, we going to use NodeJS environment, Koa middleware, and Apollo Server with GraphQL Tools. Literally, we gonna just merge two schemas into one and send it to the client. On the Node layer, we going to wrap results up from the external server in one schema and send it to the client. It’s a situation when some external server responds to GraphQL API and some other service uses its own GraphQL schema, including external schema. What Is It about? We gonna create two Apollo Servers, which going to handle the GraphQL schema merge. Apollo Client gives the ability to use GraphQL API, including cache and linking. Apollo Server gives you tools for sending responses to client requests. It allows you to send only what was requested instead of a fixed dataset. ![]() Clients request exactly what they need using typed schema. GraphQL is a query-typed language for API which is widely used for requesting data from the server side to the client side in optimized mater. ![]() More and more companies prefer to use the GraphQL data query syntax, and today it is a piece of must-have knowledge. 70% of the cases I come across are projects that are integrated with GraphQL or are about to migrate to it. They have solid ranks and are holding leading positions in data delivery. Today, in our modern developer world, it is absolutely impossible to imagine life without such technologies as React, Node JS, GraphQL, and so on.
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