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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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.

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 quick tutorial, we’ll see how to query entities by dates with Spring Data JPA.

First, we’ll refresh our memory on how to map dates and times with JPA. Then we’ll create an entity with date and time fields, as well as a Spring Data repository to query those entities.

2. Mapping Dates and Times with JPA

To begin, we’ll review a bit of theory about mapping dates with JPA. The thing to know is that we need to decide whether we want to represent:

  • A date only
  • A time only
  • Or both

In addition to the (optional) @Column annotation, we’ll need to add the @Temporal annotation to specify what the field represents.

This annotation takes a parameter that’s a value of TemporalType enum:

  • TemporalType.DATE
  • TemporalType.TIME
  • TemporalType.TIMESTAMP

A detailed article about date and time mapping with JPA can be found here.

3. In Practice

In practice, once our entities are correctly set up, there’s not much work to do to query them using Spring Data JPA. We just have to use query methods, or the @Query annotation.

Every Spring Data JPA mechanism will work just fine.

Let’s see a couple examples of entities queried by dates and times with Spring Data JPA.

3.1. Set Up an Entity

For instance, let’s say we have an Article entity with a publication date, publication time, and a creation date and time:

@Entity
public class Article {

    @Id
    @GeneratedValue
    Integer id;
 
    @Temporal(TemporalType.DATE)
    Date publicationDate;
 
    @Temporal(TemporalType.TIME)
    Date publicationTime;
 
    @Temporal(TemporalType.TIMESTAMP)
    Date creationDateTime;
}

We split the publication date and time into two fields for demonstration purposes; that way we represent the three temporal types.

3.2. Query the Entities

Now that our entity is all set up, let’s create a Spring Data repository to query those articles.

We’ll create three methods using several Spring Data JPA features:

public interface ArticleRepository 
  extends JpaRepository<Article, Integer> {

    List<Article> findAllByPublicationDate(Date publicationDate);

    List<Article> findAllByPublicationTimeBetween(
      Date publicationTimeStart,
      Date publicationTimeEnd);

    @Query("select a from Article a where a.creationDateTime <= :creationDateTime")
    List<Article> findAllWithCreationDateTimeBefore(
      @Param("creationDateTime") Date creationDateTime);

}

So we defined three methods:

  • findAllByPublicationDate which retrieves articles published on a given date
  • findAllByPublicationTimeBetween which retrieves articles published between two given hours
  • and findAllWithCreationDateTimeBefore which retrieves articles created before a given date and time

The first two methods rely on Spring Data’s query methods mechanism, and the last on the @Query annotation.

In the end, that doesn’t change the way dates will be treated. The first method will only consider the date part of the parameter.

The second will only consider the time of the parameters. And the last will use both date and time.

3.3. Test the Queries

The last thing we’ll do is set up some tests to check that these queries work as expected.

We’ll first import data into our database, and then we’ll create the test class that’ll check each method of the repository:

@RunWith(SpringRunner.class)
@DataJpaTest
public class ArticleRepositoryIntegrationTest {

    @Autowired
    private ArticleRepository repository;

    @Test
    public void whenFindByPublicationDate_thenArticles1And2Returned() {
        List<Article> result = repository.findAllByPublicationDate(
          new SimpleDateFormat("yyyy-MM-dd").parse("2018-01-01"));

        assertEquals(2, result.size());
        assertTrue(result.stream()
          .map(Article::getId)
          .allMatch(id -> Arrays.asList(1, 2).contains(id)));
    }

    @Test
    public void whenFindByPublicationTimeBetween_thenArticles2And3Returned() {
        List<Article> result = repository.findAllByPublicationTimeBetween(
          new SimpleDateFormat("HH:mm").parse("15:15"),
          new SimpleDateFormat("HH:mm").parse("16:30"));

        assertEquals(2, result.size());
        assertTrue(result.stream()
          .map(Article::getId)
          .allMatch(id -> Arrays.asList(2, 3).contains(id)));
    }

    @Test
    public void givenArticlesWhenFindWithCreationDateThenArticles2And3Returned() {
        List<Article> result = repository.findAllWithCreationDateTimeBefore(
          new SimpleDateFormat("yyyy-MM-dd HH:mm").parse("2017-12-15 10:00"));

        assertEquals(2, result.size());
        assertTrue(result.stream()
          .map(Article::getId)
          .allMatch(id -> Arrays.asList(2, 3).contains(id));
    }
}

Each test verifies that only the articles matching the conditions are retrieved.

4. Conclusion

In this brief article, we learned how to query entities by their dates and times fields with Spring Data JPA.

We discussed a bit of theory before using Spring Data mechanisms to query the entities. We saw those mechanisms work the same way with dates and times as they do with other types of data.

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)