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1. Scala add jackson annotations to case class how to#
2. Scala add jackson annotations to case class code#

In the new version of Spring Data Mongo repositories will also support scala option as a return type. Moreover, it’s immutable structure and that’s good. Jacks will not support all of these annotations for case classes, but does support the following: JsonProperty, JsonIgnore, JsonIgnoreProperties, JsonInclude JsonCreator Jacks normally instantiates case classes via. When you expect a collection as a return type it’s convenient to use scala array because it can be treated as java array but you don’t loose all function features like filter, map, etc. Jackson supports a rich set of annotations for modifying the default (de)serialization of standard classes and their fields.

object Application extends App with LazyLogging The entry point to the application is the Application singleton and class annotated with spring configuration annotations. As you can see in the project tree, we have scala files which start with lowercase, these files correspond to appropriate package and contain all classes belong to a logical unit. It has a commendable speed and low memory footprint, making it suitable for large object systems. Since it provides default mapping, there is no need to create a mapping in Jackson.

Scala add jackson annotations to case class code#

Due to the fact that scala code not verbose, we can put multiple classes and traits into one file. It provides various features that are listed as below: Jackson is an easy-to-use library that can simplify commonly used cases. Add scala runtime to dependencies: compile("org.scala-lang:scala-library:2.11.7").Add scala plugin: apply plugin: 'scala'.Only a few things should be added to adle to make this project the scala one. Project StructureĪs I mentioned above we’ve picked gradle, so, this project has not to many differences from standard java/gradle layout.

Scala add jackson annotations to case class how to#

we use this approach intentionally.Īnyway, if you know how to improve any parts of our approach you’re welcome to comment. Moreover, we're writing code that is clear for the teammates who less familiar with scala i.e. This example can hurt the feelings of functional programming nerds.

It’s pretty simple, but I tried to show as many aspects of scala development as I can. In this blog post, I’m going to describe all challenges and problem which we got and which we’ve solved so far. That’s why we picked production proven tech-stack: gradle, spring boot, spring data, mongo and started to write it in scala. We had following impulses to try scala:Īt the same time, the project structure and code itself had to be clear for the rest of the team. We decided to give a try in the brand new project and then we’ll be able to migrate good practices to other projects. Two weeks ago we started a new project using scala. I’ve been interested in scala since it has been mentioned during the course of functional programming in my university (thank you for the introduction to FP), but I haven’t had a chance to try it (especially in production).