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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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 – 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.

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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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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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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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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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 – 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 – 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.

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.

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of Java:

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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

1. Introduction

In this short tutorial, we’ll learn how to create update queries with the Spring Data JPA @Query annotation. We’ll achieve this by using the @Modifying annotation.

First, to refresh our memory, we can read how to make queries using Spring Data JPA. After that, we’ll deep dive into the use of the @Query and @Modifying annotations. Finally, we’ll discuss how to manage the state of our persistence context when using modifying queries.

2. Querying in Spring Data JPA

First, let’s recap the three mechanisms that Spring Data JPA provides for querying data in a database:

  • Query methods
  • @Query annotation
  • Custom repository implementation

Let’s create a User class and a matching Spring Data JPA repository to illustrate these mechanisms:

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

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private int id;
    private String name;
    private LocalDate creationDate;
    private LocalDate lastLoginDate;
    private boolean active;
    private String email;

}
public interface UserRepository extends JpaRepository<User, Integer> {}

The query methods mechanism allows us to manipulate the data by deriving the queries from the method names:

List<User> findAllByName(String name);
void deleteAllByCreationDateAfter(LocalDate date);

In this example, we can find a query that retrieves users by their names or a query that removes users having a creation date after a certain date.

As for the @Query annotation, it provides us with the opportunity to write a specific JPQL or SQL query in the @Query annotation:

@Query("select u from User u where u.email like '%@gmail.com'")
List<User> findUsersWithGmailAddress();

In this code snippet, we can see a query retrieving users having an @gmail.com email address.

The first mechanism enables us to retrieve or delete data. As for the second mechanism, it allows us to execute pretty much any query. However, for updating queries, we must add the @Modifying annotation. This will be the topic of this tutorial.

3. Using the @Modifying Annotation

The @Modifying annotation is used to enhance the @Query annotation so that we can execute not only SELECT queries, but also INSERT, UPDATE, DELETE, and even DDL queries.

Now let’s play with this annotation a little.

First, let’s look at an example of a @Modifying UPDATE query:

@Modifying
@Query("update User u set u.active = false where u.lastLoginDate < :date")
void deactivateUsersNotLoggedInSince(@Param("date") LocalDate date);

Here we’re deactivating the users that haven’t logged in since a given date.

Let’s try another one, where we’ll delete deactivated users:

@Modifying
@Query("delete User u where u.active = false")
int deleteDeactivatedUsers();

As we can see, this method returns an integer. It’s a feature of Spring Data JPA @Modifying queries that provides us with the number of updated entities.

We should note that executing a delete query with @Query works differently from Spring Data JPA’s deleteBy name-derived query methods. The latter first fetches the entities from the database and then deletes them one by one. This means that the life-cycle method @PreRemove will be called on those entities. However, with the former, a single query is executed against the database.

Finally, let’s add a deleted column to our USERS table with a DDL query:

@Modifying
@Query(value = "alter table USERS.USERS add column deleted int(1) not null default 0", nativeQuery = true)
void addDeletedColumn();

Unfortunately, using modifying queries leaves the underlying persistence context outdated. However, it is possible to manage this situation. That’s the subject of the next section.

3.1. Result of NOT Using the @Modifying Annotation

Let’s see what happens when we don’t put the @Modifying annotation on the delete query.

For this reason, we need to create yet another method:

@Query("delete User u where u.active = false")
int deleteDeactivatedUsersWithNoModifyingAnnotation();

Notice the missing annotation.

When we execute the above method, we get an InvalidDataAccessApiUsage exception:

org.springframework.dao.InvalidDataAccessApiUsageException: org.hibernate.hql.internal.QueryExecutionRequestException: 
Not supported for DML operations [delete com.baeldung.boot.domain.User u where u.active = false]
(...)

The error message is pretty clear; the query is Not supported for DML operations.

4. Managing the Persistence Context

If our modifying query changes entities contained in the persistence context, then this context becomes outdated. One way to manage this situation is to clear the persistence context. By doing that, we make sure that the persistence context will fetch the entities from the database next time.

However, we don’t have to explicitly call the clear() method on the EntityManager. We can just use the clearAutomatically property from the @Modifying annotation:

@Modifying(clearAutomatically = true)

This way, we make sure that the persistence context is cleared after our query execution.

However, if our persistence context contained unflushed changes, clearing it would mean dropping the unsaved changes. Fortunately, there’s another property of the annotation we can use in this case, flushAutomatically:

@Modifying(flushAutomatically = true)

Now the EntityManager is flushed before our query is executed.

5. Conclusion

That concludes this brief article about the @Modifying annotation. We learned how to use this annotation to execute updating queries, like INSERT, UPDATE, DELETE, and even DDL. After that, we discussed how to manage the state of the persistence context with the clearAutomatically and flushAutomatically properties.

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.

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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Working on getting your persistence layer right with Spring?

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Course – LS – NPI EA (cat=REST)

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

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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.

eBook Jackson – NPI EA – 3 (cat = Jackson)