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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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eBook – Reactive – NPI EA (cat=Reactive)
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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

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eBook – Jackson – NPI EA (cat=Jackson)
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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LSD – NPI EA (tag=Spring Data JPA)
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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

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1. Introduction

In this quick article, we’ll explore Spring JPA Repository Populators with a quick example. The Spring Data JPA repository populator is a great alternative for data.sql script.

Spring Data JPA repository populator supports JSON and XML file formats. In the following sections, we’ll see how to use Spring Data JPA repository populator.

2. Sample Application

First of all, let’s say we have a Fruit entity class and an inventory of fruits to populate our database:

@Entity
public class Fruit {
    @Id
    private long id;
    private String name;
    private String color;
    
    // getters and setters
}

We’ll extend JpaRepository to read Fruit data from the database:

@Repository
public interface FruitRepository extends JpaRepository<Fruit, Long> {
    // ...
}

In the following section, we’ll use the JSON format to store and populate the initial fruit data.

3. JSON Repository Populators

Let’s create a JSON file with Fruit data. We’ll create this file in src/main/resources and call it fruit-data.json:

[
    {
        "_class": "com.baeldung.entity.Fruit",
        "name": "apple",
        "color": "red",
        "id": 1
    },
    {
        "_class": "com.baeldung.entity.Fruit",
        "name": "guava",
        "color": "green",
        "id": 2
    }
]

The entity class name should be given in the _class field of each JSON object. The remaining keys map to columns of our Fruit entity.

Now, we’ll add the jackson-databind dependency in the pom.xml:

<dependency>
    <groupId>com.fasterxml.jackson.core</groupId>
    <artifactId>jackson-databind</artifactId>
    <version>2.13.5</version>
</dependency>

Finally, we’ll have to add a repository populator bean. This repository populator bean will read the data from the fruit-data.json file and populate it into the database when the application starts:

@Bean
public Jackson2RepositoryPopulatorFactoryBean getRespositoryPopulator() {
    Jackson2RepositoryPopulatorFactoryBean factory = new Jackson2RepositoryPopulatorFactoryBean();
    factory.setResources(new Resource[]{new ClassPathResource("fruit-data.json")});
    return factory;
}

We’re all set to unit test our configuration:

@Test
public void givenFruitJsonPopulatorThenShouldInsertRecordOnStart() {
    List<Fruit> fruits = fruitRepository.findAll();
    assertEquals("record count is not matching", 2, fruits.size());

    fruits.forEach(fruit -> {
        if (1 == fruit.getId()) {
            assertEquals("apple", fruit.getName());
            assertEquals("red", fruit.getColor());
        } else if (2 == fruit.getId()) {
            assertEquals("guava", fruit.getName());
            assertEquals("green", fruit.getColor());
        }
    });
}

4. XML Repository Populators

In this section, we’ll see how to use XML files with repository populators. Firstly, we’ll create an XML file with the required Fruit details.

Here, an XML file represents a single fruit’s data.

apple-fruit-data.xml:

<fruit>
    <id>1</id>
    <name>apple</name>
    <color>red</color>
</fruit>

guava-fruit-data.xml:

<fruit>
    <id>2</id>
    <name>guava</name>
    <color>green</color>
</fruit>

Again, we’re storing these XML files in src/main/resources.

Also, we’ll add the spring-oxm maven dependency in the pom.xml:

<dependency>
    <groupId>org.springframework</groupId>
    <artifactId>spring-oxm</artifactId>
    <version>6.1.4</version>
</dependency>

In addition, we need to add @XmlRootElement annotation to our entity class:

@XmlRootElement
@Entity
public class Fruit {
    // ...
}

Finally, we’ll define a repository populator bean. This bean will read the XML file and populate the data:

@Bean
public UnmarshallerRepositoryPopulatorFactoryBean repositoryPopulator() {
    Jaxb2Marshaller unmarshaller = new Jaxb2Marshaller();
    unmarshaller.setClassesToBeBound(Fruit.class);

    UnmarshallerRepositoryPopulatorFactoryBean factory = new UnmarshallerRepositoryPopulatorFactoryBean();
    factory.setUnmarshaller(unmarshaller);
    factory.setResources(new Resource[] { new ClassPathResource("apple-fruit-data.xml"), 
      new ClassPathResource("guava-fruit-data.xml") });
    return factory;
}

We can unit test the XML repository populator just like we can with the JSON populator.

4. Conclusion

In this tutorial, we learned how to use Spring Data JPA repository populator.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LS – NPI EA (cat=REST)

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Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

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eBook Jackson – NPI EA – 3 (cat = Jackson)