graphql-request VS gRPC

The aws-sigv4-fetch package can be integrated into GraphQL libraries like graphql-request. For example, you can pass the signedFetch function as the custom fetch option:

For Next.js projects, one of the options can be the typescript-graphql-request plugin. Under the hood this plugin works with the graphql-request library — a minimal, flexible, and easy-to-use GraphQL client. With typescript-graphql-request, we generate an SDK that is fully typed and allowing us to make strongly-typed GraphQL requests. This nicely integrates with data fetching in Next.js Server Components, enabling us to pre-render pages with data from Storyblok.

but i don't want to use that external library

An example of a Snowflake API request using JavaScript. This example uses the graphql-request library to issue the actual GraphQL request. Install the dependency:

I mentioned already we can use just about any client want when fetching GraphQL data. Prisma's graphql-request is a simple and lightweight option, and that is what I’ve used here.

To do this, you will make use of a tool called GraphQL Codegen to generate TypeScript types based on the GraphQL schema Sanity provides. You will then use graphql-request to actually fetch the data.

What about https://github.com/prisma-labs/graphql-request that has 4.8k starts / 254 forks?

If you don't want to use Apollo, I suggest using codegen + graphql-request. There is a codegen plugin for graphql-request that auto generates a typesafe client sdk with all your queries as methods on the graphql-request client. Super clean and lightweight. https://github.com/prisma-labs/graphql-request

gRPC, built on HTTP/2, inherently supports flow control. The server can push updates, but it must also respect flow control signals from the client, ensuring that it doesn't send data faster than what the client can handle.

Yes, grpc_cli tool uses essentially the same mechanism except implemented as a grpc service rather than as a stubby service. The basic principle of both is implementing the C++ proto library's DescriptorDatabase interface with cached recursive queries of (usually) the server's compiled in FileDescriptorProtos.

See also https://github.com/grpc/grpc/blob/master/doc/server-reflecti...

The primary difference between what grpc does and what stubby does is that grpc uses a stream to ensure that the reflection requests all go to the same server to avoid incompatible version skew and duplicate proto transmissions. With that said, in practice version skew is rarely a problem for grpc_cli style "issue a single RPC" usecases: even if requests do go to two or more different versions of a binary that might have incompatible proto graphs, it is very common for the request and response and RPC to all be in the same proto file so you only need to make one RPC in the first place unless you're using an extension mechanism like proto2 extensions or google.protobuf.Any.

While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future.

The loadBalancingConfig is what we use in order to decide which policy to go for (round_robin in this case). This JSON representation is based on a protobuf message, then why does the name resolver returns it in the JSON format? The main reason is that loadBalancingConfig is a oneof field inside the proto message and so it can not contain values unknown to the gRPC if used in the proto format. The JSON representation does not have this requirement so we can use a custom loadBalancingConfig .

The Dart implementation of gRPC which puts mobile and HTTP/2 first. It's built and maintained by the Dart team. gRPC is a high-performance RPC (remote procedure call) framework that is optimized for efficient data transfer.

gRPC is a high-performance, open-source RPC (Remote Procedure Call) framework initially developed by Google. It uses Protocol Buffers for serialization and supports bidirectional streaming.

In general, tunneling through HTTP2 turns out to be a great choice. There is a RPC protocol built on top of HTTP2: gRPC[1].

This is because HTTP2 is great at exploiting a TCP connection to transmit and receive multiple data structures concurrently - multiplexing.

There may not be a reason to use HTTP3 however, as QUIC already provides multiplexing.

I expect that in the future most communications will be over encrypted HTTP2 and QUIC simply because middleware creators can not resist to discriminate.

[1] <https://grpc.io>

Even in the https://grpc.io blog says this

gRPC