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Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat= Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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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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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.

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 – Jackson – NPI EA (cat=Jackson)
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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

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Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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Course – LSS – NPI EA (cat=Spring Security)
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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.

You can explore the course here:

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Course – All Access – NPI EA (cat= Spring)
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All Access is finally out, with all of my Spring courses. Learn JUnit is out as well, and Learn Maven is coming fast. And, of course, quite a bit more affordable. Finally.

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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.

Get started with Spring Data JPA through the guided reference course:

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Partner – LambdaTest – NPI EA (cat=Testing)
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End-to-end testing is a very useful method to make sure that your application works as intended. This highlights issues in the overall functionality of the software, that the unit and integration test stages may miss.

Playwright is an easy-to-use, but powerful tool that automates end-to-end testing, and supports all modern browsers and platforms.

When coupled with LambdaTest (an AI-powered cloud-based test execution platform) it can be further scaled to run the Playwright scripts in parallel across 3000+ browser and device combinations:

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Course – Spring Sale 2025 – NPI EA (cat= Baeldung)
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Course – Spring Sale 2025 – NPI (cat=Baeldung)
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Yes, we're now running our Spring Sale. All Courses are 25% off until 26th May, 2025:

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1. Overview

JPA makes dealing with relational database models from our Java applications less painful. Things are simple when we map every table to a single entity class.

But we sometimes have reasons to model our entities and tables differently:

In this short tutorial, we’ll see how to tackle this last scenario.

2. Data Model

Let’s say we run a restaurant, and we want to store data about every meal we serve:

  • Name
  • Description
  • Price
  • What kind of allergens it contains

Since there are many possible allergens, we’re going to group this data set together.

Furthermore, we’ll also model this using the following table definitions:

meals

Now let’s see how we can map these tables to entities using standard JPA annotations.

3. Creating Multiple Entities

The most obvious solution is to create an entity for both classes.

Let’s start by defining the MealWithMultipleEntities entity:

@Entity
@Table(name = "meal")
public class MealWithMultipleEntities {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    @Column(name = "id")
    Long id;

    @Column(name = "name")
    String name;

    @Column(name = "description")
    String description;

    @Column(name = "price")
    BigDecimal price;

    @OneToOne(mappedBy = "meal")
    AllergensAsEntity allergens;

    // standard getters and setters
}

Next, we’ll add the AllergensAsEntity entity:

@Entity
@Table(name = "allergens")
class AllergensAsEntity {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    @Column(name = "meal_id")
    Long mealId;

    @OneToOne
    @PrimaryKeyJoinColumn(name = "meal_id")
    Meal meal;

    @Column(name = "peanuts")
    boolean peanuts;

    @Column(name = "celery")
    boolean celery;

    @Column(name = "sesame_seeds")
    boolean sesameSeeds;

    // standard getters and setters
}

We can see that meal_id is both the primary key and also the foreign key. That means we need to define the one-to-one relationship column using @PrimaryKeyJoinColumn.

However, this solution has two problems:

  • We always want to store allergens for a meal, and this solution doesn’t enforce this rule.
  • The meal and allergen data belong together logically. Therefore, we might want to store this information in the same Java class even though we created multiple tables for them.

One possible resolution to the first problem is to add the @NotNull annotation to the allergens field on our MealWithMultipleEntities entity. JPA won’t let us persist the MealWithMultipleEntities if we have a null AllergensAsEntity.

However, this is not an ideal solution. We want a more restrictive one, where we don’t even have the opportunity to try to persist a MealWithMultipleEntities without AllergensAsEntity.

4. Creating a Single Entity With @SecondaryTable

We can create a single entity specifying that we have columns in different tables using the @SecondaryTable annotation:

@Entity
@Table(name = "meal")
@SecondaryTable(name = "allergens", pkJoinColumns = @PrimaryKeyJoinColumn(name = "meal_id"))
class MealAsSingleEntity {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    @Column(name = "id")
    Long id;

    @Column(name = "name")
    String name;

    @Column(name = "description")
    String description;

    @Column(name = "price")
    BigDecimal price;

    @Column(name = "peanuts", table = "allergens")
    boolean peanuts;

    @Column(name = "celery", table = "allergens")
    boolean celery;

    @Column(name = "sesame_seeds", table = "allergens")
    boolean sesameSeeds;

    // standard getters and setters

}

Behind the scenes, JPA joins the primary table with the secondary table and populates the fields. This solution is similar to the @OneToOne relationship, but this way, we can have all of the properties in the same class.

It’s important to note that if we have a column that is in a secondary table, we have to specify it with the table argument of the @Column annotation. If a column is in the primary table, we can omit the table argument since JPA looks for columns in the primary table by default.

Also, note that we can have multiple secondary tables if we embed them in @SecondaryTables. Alternatively, from Java 8, we can mark the entity with multiple @SecondaryTable annotations since it’s a repeatable annotation.

5. Combining @SecondaryTable With @Embedded

As we’ve seen, @SecondaryTable maps multiple tables to the same entity. We also know that @Embedded and @Embeddable do the opposite and map a single table to multiple classes.

Let’s see what we get when we combine @SecondaryTable with @Embedded and @Embeddable:

@Entity
@Table(name = "meal")
@SecondaryTable(name = "allergens", pkJoinColumns = @PrimaryKeyJoinColumn(name = "meal_id"))
class MealWithEmbeddedAllergens {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    @Column(name = "id")
    Long id;

    @Column(name = "name")
    String name;

    @Column(name = "description")
    String description;

    @Column(name = "price")
    BigDecimal price;

    @Embedded
    AllergensAsEmbeddable allergens;

    // standard getters and setters

}

@Embeddable
class AllergensAsEmbeddable {

    @Column(name = "peanuts", table = "allergens")
    boolean peanuts;

    @Column(name = "celery", table = "allergens")
    boolean celery;

    @Column(name = "sesame_seeds", table = "allergens")
    boolean sesameSeeds;

    // standard getters and setters

}

It’s a similar approach to what we saw using @OneToOne. However, it has a couple of advantages:

  • JPA manages the two tables together for us, so we can be sure that there will be a row for each meal in both tables.
  • Also, the code is a bit simpler since we need less configuration.

Nevertheless, this one-to-one-like solution works only when the two tables have matching ids.

It’s worth mentioning that if we want to reuse the AllergensAsEmbeddable class, it would be better if we defined the columns of the secondary table in the MealWithEmbeddedAllergens class with @AttributeOverride.

6. Conclusion

In this short tutorial, we’ve seen how we can map multiple tables to the same entity using the @SecondaryTable JPA annotation.

We also saw the advantages of combining @SecondaryTable with @Embedded and @Embeddable to get a relationship similar to one-to-one.

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.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

Once the early-adopter seats are all used, the price will go up and stay at $33/year.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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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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Course – Spring Sale 2025 – NPI EA (cat= Baeldung)
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Course – Spring Sale 2025 – NPI (All)
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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)