apollo-server VS graphql-mesh

Another interesting point is that executing fetches on the server can allow developers to more easily leverage caching. Next.js already handles caching out-of-the-box and I’m curious to see if the wider adoption of RSC reduces the need to combine React with solutions like Apollo Server and Apollo Client. While there are other benefits to these tools, RSC could provide similar caching behavior without the need to invest in a GraphQL solution.

There are several GraphQL server implementations, however, for this tutorial, we'll utilize Apollo GraphQL's Apollo Server, a lightweight and flexible JavaScript server that makes it easy to build GraphQL APIs.

As I mentioned, their main GraphQL server package is[1], so that's where the confusion came from. Thanks.

[1] https://github.com/apollographql/apollo-server/blob/9817bc47...

While working on this blog post, I learned that Apollo Server, the most popular GraphQL server for typescript, uses a similar method for adding error codes to GraphQL. It even lets you add custom errors. Hopefully, someday other GraphQL server projects will follow them. Until then, we’ve got a strong indication we took the right approach.

GraphQL is just a schema, there are many different implementations of a GraphQL server, AppSync being one of them. I mentioned Apollo server in this series as well.

After some head-scratching, I opened an issue on Apollo Server’s GitHub repository. There, Apollo Server contributor @​glasser shared a helpful suggestion: why not invoke our AuthPlugin from Apollo Server’s context function? Throwing from context would ensure we can control the HTTP status response without having to introduce more methods and error checks to our AuthPlugin (like unexpectedErrorProcessingRequest). With that suggestion in mind, we rewrote our AuthPlugin as follows:

Apollo as a middleware in Express.js, actually.

Apollo Server 3 Cookie Issue #5775

Lastly, instead of writing our API core ourselves, we'll be using the star of this episode --- Apollo Server (a.k.a. GraphQL server). It has detailed documentation available here.

I played with building out a graphql mesh [0] of a few different APIs as I was curious to see if I could build one schema (and subsets of it) and have GPT interface over that. Turns out, it did a pretty good job if you can provide it the right portions of the schema it needs.

It also helped out when I was struggling to reconcile with how large of JSON payloads I was getting. The REST endpoints are just killing the prompt size, but having the model choose the fields it needed from GraphQL really helped out there.

Put it down for a while until I can get access to the plugin fine-tuned version of chatgpt and see if there's still a need or if it is additive still.

[0] https://github.com/Urigo/graphql-mesh/

graphql-mesh is a tool that allows you to integrate backend microservices (whether they are REST with OpenAPI specs, GraphQL, etc.) into a single GraphQL Gateway. It's easy to set up as it generates schemas, queries, and mutations based on the provided specifications. You only need to implement additional properties for data aggregation

You might be able to integrate existing API's with https://www.graphql-mesh.com/ but keep in mind this will add latency and you won't get all the full benefits of implementing native graphql services.

Recent projects such as GraphQL Mesh or products such as Hasura Cloud proved that GraphQL has a purpose beyond the simple front-end/mobile apps fetching challenges.

I’ve seen more products letting you join/merge GraphQL schemas independent of schema stitching or federation. Have a look at GraphQL Mesh or StepZen.

Libraries like GraphQL Mesh, on the other hand, automatically stitch multiple data sources into one single GraphQL API. This can save development time, but, like libraries that do a lot for you, you may need to provide custom overrides.

GraphQL Mesh acts as a proxy to your existing APIs, and gives you the developer ultimate control over how data is retrieved. It doesn't matter if your API is GraphQL, gRPC, Swagger, Postgres, and non-typed APIs. GraphQL Mesh can figure out how to transform your GraphQL query to the respective API.

Doing this was pretty simple. You can find the repo here which is used as the master repository to push all the labels downstream and we still retain the repo specific labels in their own repository (like this)

You can find a complete working example on GitHub