record-builder VS Jackson JSON Processor

The problem with this approach is that the people will have to build crutches like https://github.com/Randgalt/record-builder and by the time Java adds missing features all the codebases will be forever polluted with legacy workarounds that nobody will dare to remove because of backwards compatibility.

It also hinders adoption of new features as people will prefer to maintain consistency in their codebases.

Record builder is pretty good for making builders for your Java 17 records

I always have to bring up RecordBuilder simply because of the included Withers and it being a source generator instead of the Lombok weirdness.

The above is not particularly user-friendly. Luckily compiler plugins can provide the missing feature, most notably RecordBuilder:

For records, instead of lombok you can use https://github.com/Randgalt/record-builder which is a valid annotation processor and will not break on JDK changes

In this particular case you can generate the builder with something like https://github.com/Randgalt/record-builder that is both valid java and lombok-like enough

Records + Record Builder or immutables + the trick to hide the implementing class w/sealed are your friend. Both the mutability and naming conventions this generates are vomitus.

Did you use https://github.com/Randgalt/record-builder ?

Try my annotation processor. It generates withers. https://github.com/Randgalt/record-builder

I personally don't use that one much, but you could use this library instead.

For JSON parsing, both Jackson and Gson are widely used in Java. Jackson is often favored for its extensive features and performance, while Gson is lighter and simpler to use. If your SDK needs advanced serialization features or works with complex JSON structures, Jackson is likely the better choice.

We can then easily convert this string value into the array of Products using librares like Jackson.

The above class maps the json data to a java object we can work with. We use Lombok to generate constructors, getters and setters for our code and the Jackson Project to handle serialization and deserialization of json to pojo . We know the response is an array of objects representing the coffee and so above data structure is fit for this.

Jackson. Because JSON.

For my series of articles, I also wanted to see how this requirement to mapping values could be implemented with Jackson.

In practical terms, Jackson achieves the same purpose for Java. It was born as a Json parser, but nowadays supports multiple formats and it's widely used in the Java community.

How can Jackson library help you out?

jackson

Jackson para lidar com JSON;