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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eBook – Maven – NPI EA (cat = Maven)
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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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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.

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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 – LambdaTest – NPI EA (cat=Testing)
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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.

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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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1. Introduction

In this tutorial, we’ll explore the fundamentals of query hints in Spring Data JPA. These hints help to optimize database queries and potentially improve application performance by influencing the decision-making process of the optimizer. We’ll also discuss their functionality and how to apply them effectively.

2. Understanding Query Hints

Query hints in Spring Data JPA are a powerful tool that can help optimize database queries and improve application performance. Unlike directly controlling execution, they influence the decision-making process of the optimizer.

In Spring Data JPA, we find these hints in the org.hibernate.annotations package, alongside various annotations and classes associated with Hibernate, a prevalent persistence provider. It’s crucial to note that the interpretation and execution of these hints often depend on the underlying persistence provider, such as Hibernate or EclipseLink, making them vendor-specific.

3. Using Query Hints

Spring Data JPA offers various ways to leverage query hints for optimizing the database queries. Let’s explore the common approaches.

3.1. Annotation-Based Configuration

Spring Data JPA provides an easy way to add query hints to the JPA queries using annotations. The @QueryHints annotation enables the specification of an array of JPA @QueryHint hints intended for application to the generated SQL query.

Let’s consider the following example, where we set the JDBC fetch size hint to limit the result return size:

@Repository
public interface EmployeeRepository extends JpaRepository<Employee, Long> {
    @QueryHints(value = { @QueryHint(name = "org.hibernate.fetchSize", value = "50") })
    List<Employee> findByGender(String gender);
}

In this example, we’ve added the @QueryHints annotation to the findByGender() method of the EmployeeRepository interface to control the number of entities fetched at once. Furthermore, we can apply the @QueryHints annotation at the repository level to impact all queries within the repository:

@Repository
@QueryHints(value = { @QueryHint(name = "org.hibernate.fetchSize", value = "50") })
public interface EmployeeRepository extends JpaRepository<Employee, Long> {
    // Repository methods...
}

This action ensures that the specified query hint applies to all queries within the EmployeeRepository interface, hence promoting consistency across the repository’s queries.

3.2. Configuring Query Hints Programmatically

In addition to annotation-based and dynamic approaches, we can configure query hints programmatically using the EntityManager object. This method offers granular control over query hint configuration. Below is an example of programmatically setting a custom SQL comment hint:

@PersistenceContext
private EntityManager entityManager;

@Override
List<Employee> findRecentEmployees(int limit, boolean readOnly) {
    Query query = entityManager.createQuery("SELECT e FROM Employee e ORDER BY e.joinDate DESC", Employee.class)
      .setMaxResults(limit)
      .setHint("org.hibernate.readOnly", readOnly);
    return query.getResultList();
}

In this example, we pass a boolean flag as an argument to indicate whether the hint should be set to true or false. This flexibility allows us to adapt the query behavior based on runtime conditions.

3.3. Define the Named Query in the Entity

Query hints can be applied using the @NamedQuery annotation directly within the Entity class. This allows us to define a named query alongside specific hints. For example, let’s consider the following code snippet:

@Entity
@NamedQuery(name = "selectEmployee", query = "SELECT e FROM Employee e",
  hints = @QueryHint(name = "org.hibernate.fetchSize", value = "50"))
public class Employee {
    // Entity properties and methods
}

Once defined within the Entity class, the named query selectEmployee with associated hints can be invoked using the EntityManager‘s createNamedQuery() method:

List<Employee> employees = em.createNamedQuery("selectEmployee").getResultList();

4. Query Hint Usage Scenarios

Query hints can be used in a variety of scenarios to optimize the query performance. Here are some common use cases.

4.1. Timeout Management

In scenarios where queries may run for extended durations, it becomes crucial to implement effective timeout management strategies. By utilizing the javax.persistence.query.timeout hint, we can establish a maximum execution time for queries. This practice ensures that queries don’t exceed specified time thresholds.

The hint accepts a value in milliseconds, and if the query exceeds the limit, it throws a LockTimeoutException. Here’s an example where we set  a timeout of 5000 milliseconds for retrieving active employees:

@QueryHints(value = {@QueryHint(name = "javax.persistence.query.timeout", value = "5000")})
List<Employee> findActiveEmployees(long inactiveDaysThreshold);

4.2. Caching Query Results

Query hints can be used to enable caching of query results using the jakarta.persistence.cache.retrieveMode hint. When set to USE, JPA attempts to retrieve the entity from the cache first before going to the database. On the other hand, setting it to BYPASS instructs JPA to ignore the cache and fetch the entity directly from the database.

Furthermore, we can also use jakarta.persistence.cache.storeMode to specify how JPA should handle storing entities in the second-level cache. When set to USE, JPA adds entities to the cache and updates existing ones. BYPASS mode instructs Hibernate to only update existing entities in the cache but not add new ones. Lastly, REFRESH mode refreshes entities in the cache before retrieving them, ensuring that the cached data is up-to-date.

Below is an example demonstrating the usage of these hints:

@QueryHints(value = {
    @QueryHint(name = "jakarta.persistence.cache.retrieveMode", value = "USE"),
    @QueryHint(name = "jakarta.persistence.cache.storeMode", value = "USE")
})
List<Employee> findEmployeesByName(String name);

In this scenario, both retrieveMode and storeMode are configured to USE, indicating that Hibernate actively utilizes the second-level cache for both retrieving and storing entities.

4.3. Optimizing Query Execution Plans

Query hints can be used to influence the execution plan generated by the database optimizer. For instance, when the data remains unaltered, we can use the org.hibernate.readOnly hint to denote that the query is read-only:

@QueryHints(@QueryHint(name = "org.hibernate.readOnly", value = "true"))
User findByUsername(String username);

4.4. Custom SQL Comment

The org.hibernate.comment hint allows for the addition of a custom SQL comment to queries, aiding in query analysis and debugging. This feature is particularly useful when we want to provide context or notes within the generated SQL statements.

Here’s an example:

@QueryHints(value = { @QueryHint(name = "org.hibernate.comment", value = "Retrieve employee older than specified age\"") })
List findByAgeGreaterThan(int age);

5. Conclusion

In this article, we learned about the importance of query hints in Spring Data JPA and their significant impact on optimizing database queries to enhance application performance. We explored various techniques, including annotation-based configuration and direct JPQL manipulation, to apply query hints effectively.

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:

>> Join Pro and download the eBook

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)