jackson-annotations VS Jolt

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.

Reading about this annotion on https://github.com/FasterXML/jackson-annotations/wiki/Jackson-Annotations I don't know when this is required to be used ?

If human-readability is required, use JSON, with Jackson or any other libraries.

Regarding JSON specifically, we can delegate the process of providing the correct data to the serializer framework, e.g. Jackson. The idea behind it is the following: the main code processes the entity as usual, and at the edge, a Jackson converter converts it to the required JSON structure.

In either of these cases, most Java developers will use a JSON-to-Java conversion library, such as Jackson, to map the JSON object to a Java object. These libraries can be configured to default the value of wasDelivered on the resulting Java object to false or true, but more often either of the above cases will just result in the value being null.

Not a feature yet, but has been requested : https://github.com/FasterXML/jackson-annotations/issues/42

Check this framework : https://github.com/bazaarvoice/jolt

Conclusion: Semi-Structured Data is challenging to work with when you are getting the data in nested form. Hopefully, this post gives you an overview of how to perform a simple ETL on JSON data. You can make modifications to the logic and find out more about how to get the desired results. References: https://github.com/bazaarvoice/jolt/releases

To trasform a json I usually use jolt.