foundation VS Gson

GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.

When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.

REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.

A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.

In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:

At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.

A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.

This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.

To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.

GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.

Most of the time is spent in JSON parsing, specifically in AccessLogAggregator.parseLineJson. Within parsing, the majority of time is spent in org/json/JSONObject.. Since there are faster JSON libraries available, we'll switch to Gson and repeat the tests. To do this, we'll add the following method to our code:

In this concrete example we'll create 3 products. We can then convert this JSON to the list of products using Gson.

Gson has been in maintenance mode for at least 6 years. It's kind of a shame, because the API and implementation were a lot cleaner than Jackson.

For more information on native-image build arguments, please consult the GraalVM Native Image Options documentation. The next listing contains the contents of reflect.json, which contains a bunch of data classes that we need to serialize and deserialize with Gson, as well as our Lambda handler class which the runtime needs to instantiate based on the qualified class name passed to the Lambda function.

The loadModel() method is special. It needs to dynamically update the model path specified in the JSON-formatted template file according to the extraction path of the Jar package. Gson can be used to load and update the JSON object.

If you check out the Gson user's guide, there's a section titled "JSON Field Naming Support" which explains how to do this. There are also lots of examples if you google "gson rename field".

gson

I am not sure if this is what you are looking for, but allot of projects that I worked on used gson to convert between Java objects and JSON strings (https://github.com/google/gson). Maybe you should check it out.

Since this JSON contains the JSON representation of Java objects that are unknown in PoSh/.NET, all you could do is extract the provided object data (values), but not the objects themselves. In order to extract the "real" objects as they're defined, you'd have to start from the Java side, and use a tool like Gson.