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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 – 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.

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eBook – Jackson – NPI EA (cat=Jackson)
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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Course – LS – NPI EA (cat=Jackson)
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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.

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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.

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.

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Partner – Diagrid – NPI EA (cat= Testing)
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In distributed systems, managing multi-step processes (e.g., validating a driver, calculating fares, notifying users) can be difficult. We need to manage state, scattered retry logic, and maintain context when services fail.

Dapr Workflows solves this via Durable Execution which includes automatic state persistence, replaying workflows after failures and built-in resilience through retries, timeouts and error handling.

In this tutorial, we'll see how to orchestrate a multi-step flow for a ride-hailing application by integrating Dapr Workflows and Spring Boot:

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1. Introduction

In this tutorial, we’ll explore the PSQLException error: “operator does not exist: character varying = uuid” when using JPA to interact with PostgreSQL. We’ll delve into why this error occurs, identify common scenarios that trigger it, and see how to resolve it.

2. Causes of Exception

PostgreSQL distinguishes between character varying (string) and UUID data types. This distinction requires explicit type casting or conversion for comparisons between these types. Therefore, when we try to directly compare a UUID value with a string (VARCHAR) column, PostgreSQL raises an exception because it lacks an operator for this specific type of comparison.

Let’s consider an example where we have a User entity with a varchar column uuid:

@Entity
@Table(name = "User_Tbl")
public class User{
    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @Column(columnDefinition = "varchar")
    private UUID uuid;

    // getters and setters
}

When we try to query the database with a UUID value, we get the error:

UUID testId = UUID.fromString("c3917b5b-18ed-4a84-a6f7-6be7a8c21d66");
User user = new User();
user.setUuid(testId);
user.setName("John Doeee");
userRepository.save(user);

Throwable throwable = assertThrows(InvalidDataAccessResourceUsageException.class,
  () -> userRepository.findByUuid(testId),
  "Expected ERROR: operator does not exist: character varying = uuid");
assertTrue(getRootCause(throwable) instanceof PSQLException);

3. Fix the Exception

To resolve this issue, we need to ensure that comparisons between character varying and UUID values are handled correctly. Let’s look at the recommended approaches.

3.1. Using CAST() Function

We can use the CAST() function in PostgreSQL to explicitly cast the UUID value to a string within our JPA query.

The CAST() function is a built-in PostgreSQL function that allows us to convert a value of one data type to another. This ensures that the comparison between the UUID value and varchar types is handled correctly by PostgreSQL.

Here’s an example of how to fix the query:

@Query("SELECT u FROM User u WHERE u.uuid = CAST(:uuid AS text)")
Optional<User> findByUuidWithCastFunction(@Param("uuid") UUID uuid);

By casting the character varying value to a UUID, we ensure that the database can perform the comparison correctly:

UUID testId = UUID.fromString("c3917b5b-18ed-4a84-a6f7-6be7a8c21d66");

Optional<User> userOptional = userRepository.findByUuidWithCastFunction(testId);
assertThat(userOptional.isPresent(), is(true));
assertThat(userOptional.get().getUuid(), equalTo(testId));

Let’s observe the generated SQL query including the CAST(:id AS text) operation:

Hibernate: 
    select
        user0_.id as id1_0_,
        user0_.name as name2_0_,
        user0_.uuid as uuid3_0_ 
    from
        user_tbl user0_ 
    where
        user0_.uuid=cast(? as text)

The cast(? as text) shows the usage of the CAST() function to convert the UUID parameter to a text type, ensuring compatibility with the varchar column in PostgreSQL.

3.2. Using a Custom Converter

In addition to using direct casting with SQL functions, we can use the @Converter annotation in JPA to define a custom converter for the UUID object and varchar column. This converter facilitates the seamless conversion between UUID objects and their string representations in the database.

First, let’s implement the UUIDConverter class that implements AttributeConverter<UUID, String>:

@Converter
public class UUIDConverter implements AttributeConverter<UUID, String> {
    @Override
    public String convertToDatabaseColumn(UUID uuid) {
        return uuid.toString();
    }

    @Override
    public UUID convertToEntityAttribute(String dbData) {
        return UUID.fromString(dbData);
    }
}

Next, we can use the @Convert annotation on the UUID field in our JPA entity:

@Entity
public class UserWithConverter{
    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @Convert(converter = UUIDConverter.class)
    @Column(columnDefinition = "varchar")
    private UUID uuid;

    // getters and setters
}

The @Convert annotation configures JPA to automatically convert the UUID field to a string (VARCHAR) type when persisting the entity to the database, and vice versa when retrieving it:

Optional<UserWithConverter> userOptional = userWithConverterRepository.findByUuid(testId);
assertThat(userOptional.isPresent(), is(true));
assertThat(userOptional.get().getUuid(), equalTo(testId));

4. Conclusion

In this article, we discussed the PSQLExceptionoperator does not exist: character varying = uuid” and how to fix it by explicitly casting the UUID value to a character varying or by using a custom converter in JPA.

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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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.

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Course – Spring Sale 2026 – NPI (All)
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eBook Jackson – NPI EA – 3 (cat = Jackson)