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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.

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1. Overview

Using an Object Relational Mapping tool, like Hibernate, makes it easy to read our data into objects, but can make forming our queries difficult with complex data models.

The many-to-many relationship is always challenging, but it can be more challenging when we wish to acquire related entities based on some property of the relation itself.

In this tutorial, we are going to look at how to solve this problem using Hibernate’s @WhereJoinTable annotation.

2. Basic @ManyToMany Relation

Let’s start with a simple @ManyToMany relationship. We’ll need domain model entities, a relation entity, and some sample test data.

2.1. Domain Model

Let’s imagine we have two simple entities, User and Group, which are associated as @ManyToMany:

@Entity(name = "users")
public class User {

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

    @ManyToMany
    private List<Group> groups = new ArrayList<>();

    // standard getters and setters

}
@Entity
public class Group {

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

    @ManyToMany(mappedBy = "groups")
    private List<User> users = new ArrayList<>();

    // standard getters and setters

}

As we can see, our User entity can be a member of more than one Group entity. Similarly, a Group entity can contain more than one User entity.

2.2. Relation Entity

For @ManyToMany associations, we need a separate database table called a relation table. The relation table needs to contain at least two columns: The primary keys of the related User and Group entities.

With only the two primary key columns, our Hibernate mapping can represent this relation table.

However, if we need to put additional data in the relation table, we should also define a relation entity for the many-to-many relationship itself.

Let’s create UserGroupRelation class to do this:

@Entity(name = "r_user_group")
public class UserGroupRelation implements Serializable {

    @Id
    @Column(name = "user_id", insertable = false, updatable = false)
    private Long userId;

    @Id
    @Column(name = "group_id", insertable = false, updatable = false)
    private Long groupId;

}

Here we’ve named the entity r_user_group so we can reference it later.

For our extra data, let’s say we want to store every User‘s role for each Group. So, we’ll create UserGroupRole enumeration:

public enum UserGroupRole {
    MEMBER, MODERATOR
}

Next, we’ll add a role property to UserGroupRelation:

@Enumerated(EnumType.STRING)
private UserGroupRole role;

Finally, to configure it properly, we need to add the @JoinTable annotation on User‘s groups collection. Here we’ll specify the join table name using r_user_group, the entity name of UserGroupRelation:

@ManyToMany
@JoinTable(
    name = "r_user_group",
    joinColumns = @JoinColumn(name = "user_id"),
    inverseJoinColumns = @JoinColumn(name = "group_id")
)
private List<Group> groups = new ArrayList<>();

2.3. Sample Data

For our integration tests, let’s define some sample data:

public void setUp() {
    session = sessionFactory.openSession();
    session.beginTransaction();
    
    user1 = new User("user1");
    user2 = new User("user2");
    user3 = new User("user3");

    group1 = new Group("group1");
    group2 = new Group("group2");

    session.save(group1);
    session.save(group2);

    session.save(user1);
    session.save(user2);
    session.save(user3);

    saveRelation(user1, group1, UserGroupRole.MODERATOR);
    saveRelation(user2, group1, UserGroupRole.MODERATOR);
    saveRelation(user3, group1, UserGroupRole.MEMBER);

    saveRelation(user1, group2, UserGroupRole.MEMBER);
    saveRelation(user2, group2, UserGroupRole.MODERATOR);
}

private void saveRelation(User user, Group group, UserGroupRole role) {

    UserGroupRelation relation = new UserGroupRelation(user.getId(), group.getId(), role);
    
    session.save(relation);
    session.flush();
    session.refresh(user);
    session.refresh(group);
}

As we can see, user1 and user2 are in two groups. Also, we should notice that while user1 is MODERATOR on group1, at the same time it has a MEMBER role on group2.

3. Fetching @ManyToMany Relations

Now we’ve properly configured our entities, let’s fetch the groups of the User entity.

3.1. Simple Fetch

In order to fetch groups, we can simply invoke the getGroups() method of User inside an active Hibernate session:

List<Group> groups = user1.getGroups();

Our output for groups will be:

[Group [name=group1], Group [name=group2]]    

But how can we get the groups of a user whose group role is only MODERATOR?

3.2. Custom Filters on a Relation Entity

We can use the @WhereJoinTable annotation to directly acquire only filtered groups.

Let’s define a new property as moderatorGroups and put the @WhereJoinTable annotation on it. When we access the related entities via this property, it will only contain groups of which our user is MODERATOR.

We’ll need to add a SQL where clause to filter the groups by the MODERATOR role:

@WhereJoinTable(clause = "role='MODERATOR'")
@ManyToMany
@JoinTable(
    name = "r_user_group",
    joinColumns = @JoinColumn(name = "user_id"),
    inverseJoinColumns = @JoinColumn(name = "group_id")
)
private List<Group> moderatorGroups = new ArrayList<>();

Thus, we can easily get the groups with the specified SQL where clause applied:

List<Group> groups = user1.getModeratorGroups();

Our output will be the groups on which the user has only the role of MODERATOR:

[Group [name=group1]]

4. Conclusion

In this tutorial, we learned how to filter @ManyToMany collections based on a property of the relation table using Hibernate’s @WhereJoinTable annotation.

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:

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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.

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eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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eBook – Java Streams – NPI EA (cat=Java Streams)
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