eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
announcement - icon

Let's get started with a Microservice Architecture with Spring Cloud:

>> Join Pro and download the eBook

eBook – Mockito – NPI EA (tag = Mockito)
announcement - icon

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.

Get started with mocking and improve your application tests using our Mockito guide:

Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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:

>> Download the eBook

eBook – Reactive – NPI EA (cat=Reactive)
announcement - icon

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:

>> Join Pro and download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
announcement - icon

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:

>> Join Pro and download the eBook

eBook – Jackson – NPI EA (cat=Jackson)
announcement - icon

Do JSON right with Jackson

Download the E-book

eBook – HTTP Client – NPI EA (cat=Http Client-Side)
announcement - icon

Get the most out of the Apache HTTP Client

Download the E-book

eBook – Maven – NPI EA (cat = Maven)
announcement - icon

Get Started with Apache Maven:

Download the E-book

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

eBook – RwS – NPI EA (cat=Spring MVC)
announcement - icon

Building a REST API with Spring?

Download the E-book

Course – LS – NPI EA (cat=Jackson)
announcement - icon

Get started with Spring and Spring Boot, through the Learn Spring course:

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
announcement - icon

Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

>> The New “REST With Spring Boot”

Course – LSS – NPI EA (cat=Spring Security)
announcement - icon

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:

>> Learn Spring Security

Course – LSD – NPI EA (tag=Spring Data JPA)
announcement - icon

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:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (cat=Spring Boot)
announcement - icon

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.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Partner – LambdaTest – NPI EA (cat=Testing)
announcement - icon

Regression testing is an important step in the release process, to ensure that new code doesn't break the existing functionality. As the codebase evolves, we want to run these tests frequently to help catch any issues early on.

The best way to ensure these tests run frequently on an automated basis is, of course, to include them in the CI/CD pipeline. This way, the regression tests will execute automatically whenever we commit code to the repository.

In this tutorial, we'll see how to create regression tests using Selenium, and then include them in our pipeline using GitHub Actions:, to be run on the LambdaTest cloud grid:

>> How to Run Selenium Regression Tests With GitHub Actions

Course – LJB – NPI EA (cat = Core Java)
announcement - icon

Code your way through and build up a solid, practical foundation of Java:

>> Learn Java Basics

1. Overview

In JPA, we define an association between two entities using relationship annotations such as @OneToMany. These annotations allow us to join them using JPQL or the criteria builder. However, this relationship is not always clearly defined due to considerations such as legacy database design or performance requirements.

This tutorial will explore how to construct a JPA criteria query to join tables without explicitly defining the JPA relationship.

2. Data Preparation

To illustrate the idea, let’s prepare two JPA entity classes, School and Student. These entity classes represent two database tables with a one-to-many relationship, where a school could have many students:

@Entity
@Table(name = "school")
public class School {
    @Id
    @Column(name = "id")
    private int id;

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

    @OneToMany
    @JoinColumn(name = "school_id", referencedColumnName = "id")
    private List students;

    // constructors, setters and getters
}
@Entity
@Table(name = "student")
public class Student {
    @Id
    @Column(name = "id")
    private int id;

    @Column(name = "school_id")
    private int schoolId;

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

    // constructors, setters and getters
}

In the subsequent sections, we configure EntityManagerFactory to enable JPA properties hibernate.show_sql and hibernate.format_sql.

These settings enable Hibernate to print out the SQL generated in the console log. This allows us to understand how our criteria queries are translated into SQL at runtime:

private EntityManagerFactory createEntityManagerFactory() {
    return new PersistenceConfiguration("SchoolData")
      .jtaDataSource("java:comp/env/jdbc/SchoolData")
      .managedClass(School.class)
      .managedClass(Student.class)
      .property("hibernate.show_sql", true)
      .property("hibernate.format_sql", true)
      .createEntityManagerFactory();
}

3. Criteria Query with Join

When the one-to-many relationship is defined on the School entity class, we could use the following criteria query to get the School that has the Student with the name Benjamin Lee:

CriteriaBuilder cb = em.getCriteriaBuilder();
CriteriaQuery<School> query = cb.createQuery(School.class);

Root<School> schoolRoot = query.from(School.class);
Join<School, Student> studentJoin = schoolRoot.join("students");
cq.select(schoolRoot)
  .where(cb.equal(studentJoin.get("name"), "Benjamin Lee"));

List<School> schools = em.createQuery(query).getResultList();

This basically defines the School entity as the root and joins to the Student entity via the Join class based on our relationship definition. We could find the SQL generated by this criteria query when we run it in the console:

select
    s1_0.id,
    s1_0.name 
from
    school s1_0 
join
    student s2_0 
        on s1_0.id=s2_0.school_id 
where
    s2_0.name=?

However, the Join works only when the relationship is defined. Let’s remove the relationship definition, including the annotation and the instance variable students from the School class, and see how it goes:

@Entity
@Table(name = "school")
public class School {
    @Id
    @Column(name = "id")
    private int id;

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

    // constructors, setters and getters
}

This time, we could see an exception thrown when we run it:

org.hibernate.query.sqm.PathElementException: Could not resolve attribute 'students' of 'com.baeldung.criteria.School'

4. Criteria Query with Subquery

There are different approaches to getting rid of the relationship definition. One of them is to define a subquery via the SubQuery class to select the School based on the schoolId of the target Student:

CriteriaBuilder cb = em.getCriteriaBuilder();
CriteriaQuery<School> query = cb.createQuery(School.class);

Root<School> schoolRoot = query.from(School.class);
Subquery<Long> subquery = query.subquery(Long.class);
Root<Student> studentRoot = subquery.from(Student.class);
subquery.select(studentRoot.get("schoolId"))
  .where(cb.equal(studentRoot.get("name"), "Benjamin Lee"));
query.select(schoolRoot)
  .where(schoolRoot.get("id").in(subquery));

List<School> schools = em.createQuery(query).getResultList();

In the subquery, we select the schoolId from the Student entity that has the name Benjamin Lee, and we select the School entity based on this schoolId.

The in(…) predicate acts as a bridge between these two entities and links them through their identifiers without any JPA relationship.

We could see JPA generating the following SQL for the corresponding criteria query:

select
    s1_0.id,
    s1_0.name 
from
    school s1_0 
where
    s1_0.id in ((select
        s2_0.school_id 
    from
        student s2_0 
    where
        s2_0.name=?))

5. Criteria Query with Cross Join

We may ask ourselves whether we could use a more natural way to link up these two entities. Indeed, we could define a cross join in a criteria query to achieve the same result:

CriteriaBuilder cb = em.getCriteriaBuilder();
CriteriaQuery<School> query = cb.createQuery(School.class);

Root<School> schoolRoot = query.from(School.class);
Root<Student> studentRoot = query.from(Student.class);
Predicate joinCondition = cb.equal(schoolRoot.get("id"), studentRoot.get("schoolId"));
Predicate studentName = cb.equal(studentRoot.get("name"), "Benjamin Lee");
query.select(schoolRoot)
  .where(cb.and(joinCondition, studentName));

List<School> schools = em.createQuery(query).getResultList();

The key component here is to define two Root instances: the School root and the Student Root. By explicitly defining multiple roots, JPA will create a cross join between the corresponding database tables.

Upon execution, we could see the criteria query translates to the following SQL from the console log:

select
    s1_0.id,
    s1_0.name 
from
    school s1_0,
    student s2_0 
where
    s1_0.id=s2_0.school_id 
    and s2_0.name=?

Similar to writing a SQL query, we should explicitly put conditions to limit the number of records returned. In our example, we restrict the result set using the student’s name. Since a cross join produces a Cartesian product, it returns a massive result set if both tables contain many data rows.

6. Criteria Query with Tuple Select

In the previous cross-join criteria query, we only returned the School entity. However, this may be insufficient, as we may want to retrieve the data from the Student entity as well.

To return the Student entity in the same query, we could call the createTupleQuery() method on CriteriaBuilder. This allows us to select Tuple instead of School, which could hold multiple entities:

CriteriaBuilder cb = em.getCriteriaBuilder();
CriteriaQuery<Tuple> query = cb.createTupleQuery();

Root<School> schoolRoot = query.from(School.class);
Root<Student> studentRoot = query.from(Student.class);
Predicate joinCondition = cb.equal(schoolRoot.get("id"), studentRoot.get("schoolId"));
Predicate studentName = cb.equal(studentRoot.get("name"), "Benjamin Lee");
query.select(cb.tuple(schoolRoot,studentRoot))
  .where(cb.and(joinCondition, studentName));

List<Tuple> tuples = em.createQuery(query).getResultList();

The tuple query enables us to select multiple entities from a CriteriaQuery. In this example, we get both the School and the Student entities.

By analyzing the generated SQL in the console log, we see that JPA includes columns from the student table in the select clause, showing that it also retrieves data from the Student entity:

select
    s1_0.id,
    s1_0.name,
    s2_0.id,
    s2_0.name,
    s2_0.school_id 
from
    school s1_0,
    student s2_0 
where
    s1_0.id=s2_0.school_id 
    and s2_0.name=?

Each Tuple returned a single result row and contains the selected entities in the same order we specified in the criteria query. To get the entities from the first result row, we could simply:

Tuple firstTuplpe = tuples.get(0);
School school = firstTuplpe.get(0, School.class);
Student student = firstTuplpe.get(0, Student.class);

7. Conclusion

In this article, we explored several ways using subqueries, cross joins, and tuple selections to construct a JPA criteria query that joins database tables without explicitly defining the JPA relationship. These approaches provide alternatives for working with legacy schemas where entity relationships are not defined.

As usual, our complete code examples are available over on GitHub.

Baeldung Pro – NPI EA (cat = Baeldung)
announcement - icon

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.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
announcement - icon

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:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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:

>> Download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
announcement - icon

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:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

Course – LS – NPI EA (cat=REST)

announcement - icon

Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (tag=Refactoring)
announcement - icon

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)
announcement - icon

Get started with Spring Data JPA through the reference Learn Spring Data JPA:

>> CHECK OUT THE COURSE

eBook Jackson – NPI EA – 3 (cat = Jackson)
guest
0 Comments
Oldest
Newest
Inline Feedbacks
View all comments