dev karmanr

1634183101

Data Model Auditing in Spring Data

1. Overview

In this tutorial, we’ll see how to set up and use JaVers in a simple Spring Boot application to track changes of entities.

2. JaVers

When dealing with mutable data we usually have only the last state of an entity stored in a database. As developers, we spend a lot of time debugging an application, searching through log files for an event that changed a state. This gets even trickier in the production environment when lots of different users are using the system.

Fortunately, we have great tools like JaVers. JaVers is an audit log framework that helps to track changes of entities in the application.

The usage of this tool is not limited to debugging and auditing only. It can be successfully applied to perform analysis, force security policies and maintaining the event log, too.

3. Project Set-up

First of all, to start using JaVers we need to configure the audit repository for persisting snapshots of entities. Secondly, we need to adjust some configurable properties of JaVers. Finally, we'll also cover how to configure our domain models properly.

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But, it worth mentioning that JaVers provides default configuration options, so we can start using it with almost no configuration.

3.1. Dependencies

First, we need to add the JaVers Spring Boot starter dependency to our project. Depending on the type of persistence storage, we have two options: org.javers:javers-spring-boot-starter-sql and org.javers:javers-spring-boot-starter-mongo. In this tutorial, we'll use the Spring Boot SQL starter.

<dependency>
    <groupId>org.javers</groupId>
    <artifactId>javers-spring-boot-starter-sql</artifactId>
    <version>5.14.0</version>
</dependency>

As we are going to use the H2 database, let’s also include this dependency:

<dependency>
    <groupId>com.h2database</groupId>
    <artifactId>h2</artifactId>
</dependency>

3.2. JaVers Repository Setup

JaVers uses a repository abstraction for storing commits and serialized entities. All data is stored in the JSON format. Therefore, it might be a good fit to use a NoSQL storage. However, for the sake of simplicity, we'll use an H2 in-memory instance.

By default, JaVers leverages an in-memory repository implementation, and if we're using Spring Boot, there is no need for extra configuration. Furthermore, while using Spring Data starters, JaVers reuses the database configuration for the application.

 

JaVers provides two starters for SQL and Mongo persistence stacks.  They are compatible with Spring Data and don't require extra configuration by default. However, we can always override default configuration beans: JaversSqlAutoConfiguration.java and JaversMongoAutoConfiguration.java respectively.

3.3. JaVers Properties

JaVers allows configuring several options, though the Spring Boot defaults are sufficient in most use cases.

Let's override just one, newObjectSnapshot, so that we can get snapshots of newly created objects:

javers.newObjectSnapshot=true

3.4. JaVers Domain Configuration

JaVers internally defines the following types: Entities, Value Objects, Values, Containers, and Primitives. Some of these terms come from DDD (Domain Driven Design) terminology.

The main purpose of having several types is to provide different diff algorithms depending on the type. Each type has a corresponding diff strategy. As a consequence, if application classes are configured incorrectly we'll get unpredictable results.

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To tell JaVers what type to use for a class, we have several options:

  • Explicitly – the first option is to explicitly use register* methods of the JaversBuilder class – the second way is to use annotations
  • Implicitly – JaVers provides algorithms for detecting types automatically based on class relations
  • Defaults – by default, JaVers will treat all classes as ValueObjects

In this tutorial, we'll configure JaVers explicitly, using the annotation method.

The great thing is that JaVers is compatible with javax.persistence annotations. As a result, we won't need to use JaVers-specific annotations on our entities.

4. Sample Project

Now we're going to create a simple application that will include several domain entities that we'll be auditing.

4.1. Domain Models

Our domain will include stores with products.

Let's define the Store entity:

@Entity
public class Store {

    @Id
    @GeneratedValue
    private int id;
    private String name;

    @Embedded
    private Address address;

    @OneToMany(
      mappedBy = "store",
      cascade = CascadeType.ALL,
      orphanRemoval = true
    )
    private List<Product> products = new ArrayList<>();
    
    // constructors, getters, setters

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