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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.

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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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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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1. Overview

When using Spring Data JPA, we often leverage derived and custom queries that return the result in our preferred formats. A typical example is the DTO projection, which offers a great way to select only some specific columns and reduce the overhead of selecting unnecessary data.

However, the DTO projection isn’t always easy and may lead to ConverterNotFoundException when it’s not implemented properly. So, in this short tutorial, we’ll elucidate how to avoid the ConverterNotFoundException exception when working with Spring Data JPA.

2. Understanding the Exception in Practice

Before jumping to the solution, let’s try to understand what the exception and its stack trace mean through a practical example.

To keep things simple, we’ll use the H2 database. Let’s start by adding its dependency to the pom.xml file:

<dependency>
    <groupId>com.h2database</groupId>
    <artifactId>h2</artifactId>
    <version>2.2.224</version>
</dependency>

2.1. H2 Configuration

Spring Boot provides intrinsic support for the H2 embeddable database. By design, it configures the application to connect to H2 using the username sa and an empty password.

First, let’s add the database connection credentials to the application.properties file:

spring.datasource.url=jdbc:h2:mem:mydb
spring.datasource.driverClassName=org.h2.Driver
spring.datasource.username=sa
spring.datasource.password=

That’s all we need to set up the H2 configuration with Spring Boot.

2.2. Entity Class

Now, let’s define a JPA entity. For instance, we’ll consider the Employee class:

@Entity
public class Employee {

    @Id
    private int id;
    @Column
    private String firstName;
    @Column
    private String lastName;
    @Column
    private double salary;

    // standards getters and setters

}

In this example, we define an employee by their identifier, first name, last name, and salary.

Typically, we use the @Entity annotation to denote that the Employee class is a JPA entity. Moreover, @Id marks the field that represents the primary key. Furthermore, we use @Column to bind each entity field to its respective table column.

2.3. JPA Repository

Next, we’re going to create a Spring Data JPA repository to handle the logic of storing and retrieving employees:

@Repository
public interface EmployeeRepository extends JpaRepository<Employee, Integer> {
}

Here, we’ll assume that we need to display the full name of an employee. So, we’ll rely on DTO projection to select only firstName and lastName.

Since the Employee class holds additional data, let’s create a new class named EmployeeFullName that contains only the first and the last names:

public class EmployeeFullName {

    private String firstName;
    private String lastName;

    // standards getters and setters

    public String fullName() {
        return getFirstName()
          .concat(" ")
          .concat(getLastName());
    }

}

Notably, we create a custom method fullName() to display the employee’s full name. Now, let’s add a derived query that returns the full name of an employee to EmployeeRepository:

@Query("SELECT new com.baeldung.spring.data.noconverterfound.models.EmployeeFullName(e.firstName, e.lastName) FROM Employee e WHERE e.id = :id")
EmployeeFullName findEmployeeFullNameById(int id);

Lastly, let’s create a test to make sure that everything works as expected:

@Test
void givenEmployee_whenGettingFullName_thenThrowException() {
    Employee emp = new Employee();
    emp.setId(1);
    emp.setFirstName("Adrien");
    emp.setLastName("Juguet");
    emp.setSalary(4000);

    employeeRepository.save(emp);

    assertThatThrownBy(() -> employeeRepository
      .findEmployeeFullNameById(1))
      .isInstanceOfAny(ConverterNotFoundException.class)
      .hasMessageContaining("No converter found capable of converting from type" 
        + "[com.baeldung.spring.data.noconverterfound.models.Employe");
}

As shown above, the test fails with ConverterNotFoundException.

The root cause of the exception is that JpaRepository expects that its derived queries return an instance of the Employee entity class. Since the method returns an EmployeeFullName object, Spring Data JPA fails to find a converter suitable to convert the expected Employee object to the new EmployeeFullName object.

3. Solutions

When using a class to implement the DTO projection, Spring Data JPA uses, by default, the constructor to determine the fields that are supposed to be retrieved. So, the basic solution here is to add a parameterized constructor to the EmployeeFullName class:

public EmployeeFullName(String firstName, String lastName) {
    this.firstName = firstName;
    this.lastName = lastName;
}

That way, we tell Spring Data JPA to select only firstName and lastName. Now, let’s add another test to test the solution:

@Test
void givenEmployee_whenGettingFullNameUsingClass_thenReturnFullName() {
    Employee emp = new Employee();
    emp.setId(2);
    emp.setFirstName("Azhrioun");
    emp.setLastName("Abderrahim");
    emp.setSalary(3500);

    employeeRepository.save(emp);

    assertThat(employeeRepository.findEmployeeFullNameById(2).fullName())
      .isEqualTo("Azhrioun Abderrahim");
}

Unsurprisingly, the test passes with success.

Another solution would be to use the interface-based projection. That way, we don’t have to worry about the constructor. So, instead of using a class, we can use an interface that exposes getters for the fields to be read:

public interface IEmployeeFullName {
    String getFirstName();

    String getLastName();

    default String fullName() {
        return getFirstName().concat(" ")
          .concat(getLastName());
    }
}

Here, we used a default method to display the full name. Next, let’s create another derived query that returns an instance of type IEmployeeFullName:

IEmployeeFullName findIEmployeeFullNameById(int id);

Finally, let’s add another test to verify this second solution:

@Test
void givenEmployee_whenGettingFullNameUsingInterface_thenReturnFullName() {
    Employee emp = new Employee();
    emp.setId(3);
    emp.setFirstName("Eva");
    emp.setLastName("Smith");
    emp.setSalary(6500);

    employeeRepository.save(emp);

    assertThat(employeeRepository.findIEmployeeFullNameById(3).fullName())
      .isEqualTo("Eva Smith");
}

As expected, the interface-based solution works.

4. Conclusion

In this article, we learned what causes Spring Data JPA to fail with ConverterNotFoundException. Along the way, we saw how to reproduce and fix the exception in practice.

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 = 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, 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:

>> Download the eBook

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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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

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Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

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Course – LS – NPI EA (cat=REST)

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

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