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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

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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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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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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.

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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 – LS – NPI EA (cat=Jackson)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

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Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

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1. Overview

In this tutorial, we’ll discuss how to persist a property of type List<String> in JPA. We take a look at the possibilities to realize this, how they differ, and explain the advantages with the help of an example.

2. Example

As a model, we use the entity library, which has an automatically generated ID, a name, a List<String> containing addresses, and a List<String> containing book names:

@Entity(name = "library")
public class Library {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    private String name;

    private List<String> addresses = new ArrayList<>();

    private List<String> books = new ArrayList<>();

    // getter, setter, and constructor
}

For the List<String>, it would be possible to create a second entity with an id and the string and then annotate this with a OneToMany relationship. We’ll look at two other possibilities with JPA that simplify this behavior.

3. @ElementCollection

The first option is to use @ElementCollection. This annotation allows us to specify the target class of the collection. In our case, this is a String. Furthermore, we can specify if the list should be loaded in a lazy or eager way. The default value is lazy. However, for the sake of simplicity for the examples, we set the value to eager:

@ElementCollection(targetClass = String.class, fetch = FetchType.EAGER)
@CollectionTable(name = "books", joinColumns = @JoinColumn(name = "library_id"))
@Column(name = "book", nullable = false)
private List<String> books = new ArrayList<>();

We can also annotate the method that wants to access the list with @Transactional or the repository method with @Query(“SELECT l FROM library l JOIN FETCH l.books WHERE l.id = (:id)”) to avoid a LazyInitializationException.

The annotations result in the following DDL:

CREATE TABLE books
(
    library_id BIGINT       NOT NULL,
    book      VARCHAR(255) NOT NULL
);

CREATE TABLE library
(
    id        BIGINT GENERATED BY DEFAULT AS IDENTITY NOT NULL,
    name      VARCHAR(255),
    addresses VARCHAR(255)                            NOT NULL,
    CONSTRAINT pk_library PRIMARY KEY (id)
);

ALTER TABLE books
    ADD CONSTRAINT fk_books_on_library FOREIGN KEY (library_id) REFERENCES library (id);

We can see that @CollectionTable sets the name of the second table and the column that references our library table. In addition, the Foreign Key is also created appropriately. So by using @ElementCollection in this method, we save the second entity we would normally need for an OneToMany link.

4. Attribute Converter

Another alternative is to use a converter. For this, we have to implement the generic AttributeConverter with our desired object. In our case, this is the List<String>; the desired format could be a String, for example. In the convertToDatabaseColumn(List<String> stringList) method, the return value is the data type that the object should eventually have in the database, and the parameter is our list.

The convertToEntityAttribute(String string) method, on the other hand, defines how the string from the column is converted back to the List<String>. In our example, we use the character “;” to separate the strings:

@Converter
public class StringListConverter implements AttributeConverter<List<String>, String> {
    private static final String SPLIT_CHAR = ";";

    @Override
    public String convertToDatabaseColumn(List<String> stringList) {
        return stringList != null ? String.join(SPLIT_CHAR, stringList) : "";
    }

    @Override
    public List<String> convertToEntityAttribute(String string) {
        return string != null ? Arrays.asList(string.split(SPLIT_CHAR)) : emptyList();
    }
}

We also have to add our converter to the field with @Convert:

@Convert(converter = StringListConverter.class)
@Column(name = "addresses", nullable = false)
private List<String> addresses = new ArrayList<>();

Alternatively, we could store the list as a JSON string in the column. When we decide to use the AttributeConverter, we have to keep in mind how big our list will grow since it has to fit in the selected size of the column.

In our case, it must fit into the varchar(255) addresses column. In the ElemenCollection approach, we can have an unlimited number of items in our list, each only limited by the varchar(255)  of the column itself.

5. Comparison 

Next, we’ll create the LibraryRepository and test our solutions:

@Repository
public interface LibraryRepository extends CrudRepository<Library, Long> {
}

When we now execute the code, we’ll add the list items to the library entity as usual:

Library library = new Library();
library.setAddresses(Arrays.asList("Address 1", "Address 2"));
library.setBooks(Arrays.asList("Book 1", "Book 2"));
        
libraryRepository.save(library);
Library lib = libraryRepository.findById(library.getId().longValue());
System.out.println("lib.getAddresses() = " + lib.getAddresses());
System.out.println("lib.getBooks() = " + lib.getBooks());

We’ll get the following output:

lib.getAddresses() = [Address 1, Address 2]
lib.getBooks() = [Book 1, Book 2]

As we can see, both implementation work as expected and have their own advantages:

Element Collection Converter
Default Fetch Type Lazy Eager
Limit of List Unlimited list items Limited by the column length
Limit of each String Limited by the column length Limited by the number of list items and so also limited by the column length
Table Creates an extra table It doesn’t need its own table

6. Conclusion

In this article, we have discussed what kind of possibilities there are in JPA to store a list of strings of an entity. While we showed where there are possible limitations and what differences there are in the respective possibilities.

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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Working on getting your persistence layer right with Spring?

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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.

Course – LSD – NPI (cat=JPA)
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Get started with Spring Data JPA through the reference Learn Spring Data JPA:

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