![]() For each API we define the message format, what we would like the API to return, and the request to the endpoint. We also define the URL paths and the HTTP methods. The RPC service calls are defined for create, delete, update, and get user. We will need to provide third-party protobuf files to the protobuf compiler to generate the grpc-gateway stubs. Add the following to the buf.yaml file.To generate the API client and server stubs, we will create a file with the instructions to find the installed binaries and the location to generate the files. Create a file named tools.go and add the following:.The following steps will download and install the required binaries in our $GOBIN and also install the GO MongoDB driver. Install GO (v1.18) and GOPATH and add GOBIN set. The gRPC server then processes the request and returns the response to us through the reverse proxy. So, when the client sends a POST request, it's translated into an RPC request. We modify the gRPC server code stubs according to our needs and start the server. Then using the protoc compiler, we generate the code stubs for the gRPC gateway server and the gRPC server. First, we create the proto file with the API design. The image above represents the flow of our API. We will use the GO Mongo driver to connect our GO application to MongoDB and perform operations on it. Now, our API has both REST and gRPC functionalities. Now, to add RESTful functionality to our APIs, we will use the gRPC-gateway plugin of the protoc compiler to generate a reverse-proxy server that translates HTTP calls into gRPC. In our case, we will be generating the source code in GO. proto files and generate API clients and server stubs in a language of our preference. The protoc compiler will take in the definitions described in the. The gRPC message format will be defined using. We will store the user data in MongoDB, which will run as a Docker container. Now, I will try to explain how we can use Go REST API with gRPC with a simple example of designing APIs to perform CRUD operations (Creating, Reading, Updating, and Deleting) for managing users. Documents are stored in collections, which are, in turn, stored in a database. The hierarchy of data storage is as follows:Ī document contains key-value pairs. MongoDB is an open-source NoSQL database. ![]() It has numerous built-in features, which makes it apt for developing APIs.GO runs directly on the hardware, unlike Java which runs on a virtual machine.Concurrency can be ensured through the use of goroutines and effectively using server resources.It’s much more reliable and has a more incredible speed of response compared to other languages.Let’s see how to do that in detail, but first, some information about why use Go, MongoDB, and a little background. What if we could combine the two technologies to get the best of both? And for fun, why not add a MongoDB backend to store and retrieve data? ![]() REST is more scalable and flexible, while gRPC has a smaller payload and is faster. gRPC is another commonly used methodology used to develop client-server-based applications. REST is one of the most popular ways of developing APIs. Organizations use standard technologies such as REST, SOAP, gRPC, and GraphQL to fulfill their API design requirements. In a microservice-based application, APIs enable effective communication between the different microservices. Most projects use APIs to communicate efficiently with each other. APIs (Application Programming Interfaces) are one of the essential components of software today.
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