eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
announcement - icon

Let's get started with a Microservice Architecture with Spring Cloud:

>> Join Pro and download the eBook

eBook – Mockito – NPI EA (tag = Mockito)
announcement - icon

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.

Get started with mocking and improve your application tests using our Mockito guide:

Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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 – Reactive – NPI EA (cat=Reactive)
announcement - icon

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:

>> Join Pro and download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
announcement - icon

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 – Jackson – NPI EA (cat=Jackson)
announcement - icon

Do JSON right with Jackson

Download the E-book

eBook – HTTP Client – NPI EA (cat=Http Client-Side)
announcement - icon

Get the most out of the Apache HTTP Client

Download the E-book

eBook – Maven – NPI EA (cat = Maven)
announcement - icon

Get Started with Apache Maven:

Download the E-book

eBook – Persistence – NPI EA (cat=Persistence)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

eBook – RwS – NPI EA (cat=Spring MVC)
announcement - icon

Building a REST API with Spring?

Download the E-book

Course – LS – NPI EA (cat=Jackson)
announcement - icon

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

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
announcement - icon

Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

>> The New “REST With Spring Boot”

Course – LSS – NPI EA (cat=Spring Security)
announcement - icon

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:

>> Learn Spring Security

Course – LSD – NPI EA (tag=Spring Data JPA)
announcement - icon

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:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (cat=Spring Boot)
announcement - icon

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)
announcement - icon

Code your way through and build up a solid, practical foundation of Java:

>> Learn Java Basics

1. Overview

Querying data within a specific time range is a core requirement for most enterprise apps. Whether we’re generating monthly financial statements or filtering logs from the last 24 hours, Hibernate provides several ways to handle these temporal queries.

In this tutorial, we’ll explore how to query records between two dates using HQL, the Criteria API, and Native SQL.

2. Setup

To demonstrate these operations, let’s define an Order entity. While older versions of Hibernate required specific annotations for dates, modern versions (Hibernate 5+) handle Java 8 java.time types natively:

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

    private String trackingNumber;

    private LocalDateTime creationDate;

    // Getters and Setters
}

If we’re still using the legacy java.util.Date, we’d need to use the @Temporal annotation to specify whether we want to store just the date, the time, or both:

@Temporal(TemporalType.TIMESTAMP)
private Date legacyCreationDate;

3. Using Hibernate Query Language (HQL)

HQL is the most common way to write date-range queries in Hibernate. It’s readable, portable across databases, and lets us work with our entity model rather than raw SQL tables.

3.1. Using the BETWEEN Keyword

The BETWEEN operator is the most straightforward way to query records within a specific range. It is inclusive on both ends, meaning a record that falls exactly on the startDate or the endDate will be included in our results:

String hql = "FROM Order o WHERE o.creationDate BETWEEN :startDate AND :endDate";
List<Order> orders = session.createQuery(hql, Order.class)
  .setParameter("startDate", startDate)
  .setParameter("endDate", endDate)
  .getResultList();

While this syntax is clean, it introduces a common logical pitfall when working with LocalDateTime. If we intend to capture all orders for January 31st but provide an endDate of 2024-01-31 00:00:00, the query will exclude almost the entire day. Because the operator is inclusive only up to that exact midnight boundary, an order placed at 10:30 AM or 9:00 PM on the 31st is technically “greater than” the end parameter and will be omitted from the results.

To capture the full final day using BETWEEN, we would be forced to manually set the time to the very last millisecond of the day (23:59:59.999). To avoid this fragile manual calculation, a more robust pattern is to use comparison operators to create a half-open interval.

3.2. Using Comparison Operators

When we’re querying calendar boundaries like full days or months, the safest pattern is to use a half-open interval: inclusive on the lower bound and exclusive on the upper bound. This means we use >= for the start and < for the end.

Let’s say we want all orders from January 2024. Instead of trying to calculate January 31st at 11:59:59 PM, we can simply use February 1st as our exclusive endDate:

LocalDateTime startDate = LocalDateTime.of(2024, 1, 1, 0, 0, 0);
LocalDateTime endDate = LocalDateTime.of(2024, 2, 1, 0, 0, 0); // exclusive

String hql = "FROM Order o WHERE o.creationDate >= :startDate " +
  "AND o.creationDate < :endDate";

List<Order> orders = session.createQuery(hql, Order.class)
  .setParameter("startDate", startDate)
  .setParameter("endDate", endDate)
  .getResultList();

This pattern is preferred because it works correctly regardless of whether our database stores microseconds, milliseconds, or seconds. We never have to worry about missing records that fall on the boundary.

4. Using the Criteria API

The Criteria API provides a programmatic way to build date-range queries. It’s particularly valuable when we’re building dynamic search screens where the user might provide a start date, an end date, both, or neither. Unlike HQL strings, the Criteria API is typesafe, so our IDE can help us refactor field names when they change.

4.1. Basic Query with BETWEEN

For simple inclusive queries, we can use the between() method. Just like with HQL, this includes records that fall exactly on the endDate:

CriteriaBuilder cb = session.getCriteriaBuilder();
CriteriaQuery<Order> query = cb.createQuery(Order.class);
Root<Order> root = query.from(Order.class);

query.select(root)
  .where(cb.between(root.get("creationDate"), startDate, endDate));

List<Order> orders = session.createQuery(query).getResultList();

4.2. Using Comparison Operators

When we need an exclusive upper bound, we replace between() with greaterThanOrEqualTo() and lessThan(). This gives us the same half-open interval pattern we saw in HQL:

Predicate startPredicate = cb
  .greaterThanOrEqualTo(root.get("creationDate"), startDate);
Predicate endPredicate = cb
  .lessThan(root.get("creationDate"), endDate);

query.select(root)
  .where(cb.and(startPredicate, endPredicate));

4.3. Building Dynamic Queries

The Criteria API truly shines when some filters are optional. We can build a list of Predicate objects and apply only the ones the user provided:

List<Predicate> predicates = new ArrayList<>();

if (startDate != null) {
    predicates.add(cb.greaterThanOrEqualTo(root.get("creationDate"), startDate));
}
if (endDate != null) {
    predicates.add(cb.lessThan(root.get("creationDate"), endDate));
}

query.select(root).where(predicates.toArray(new Predicate[0]));

This approach keeps our code clean and avoids the string concatenation headaches we’d face with dynamic HQL.

5. Using Native SQL

Sometimes we need to use database-specific date functions that HQL doesn’t support, for example, PostgreSQL’s DATE_TRUNC or Oracle’s TRUNC. In these cases, Hibernate lets us fall back to native SQL queries.

Here’s how we write our date-range query directly in SQL. Notice that we use database column names like creation_date rather than entity field names like creationDate:

String sql = "SELECT * FROM orders WHERE creation_date >= :startDate " +
  "AND creation_date < :endDate";

List<Order> orders = session.createNativeQuery(sql, Order.class)
  .setParameter("startDate", startDate)
  .setParameter("endDate", endDate)
  .getResultList();

For more complex scenarios, we can leverage specific database features. For example, if we want to ignore the time component entirely, we can use database-specific functions like PostgreSQL’s DATE_TRUNC or MySQL’s DATE():

// PostgreSQL
String sql = "SELECT * FROM orders WHERE DATE_TRUNC('day', creation_date) >= :startDate " +
  "AND DATE_TRUNC('day', creation_date) < :endDate";

// MySQL
String sql = "SELECT * FROM orders WHERE DATE(creation_date) >= :startDate " +
  "AND DATE(creation_date) < :endDate";

While native SQL is powerful, we should use it sparingly. Every native query we write ties our application to a specific database. If we ever switch from PostgreSQL to MySQL, we’ll need to rewrite these queries. As a rule of thumb, start with HQL and only reach for native SQL when Hibernate’s HQL simply can’t express what we need.

6. Conclusion

We’ve covered three distinct ways to query records between two dates in Hibernate. HQL is the best choice for most scenarios thanks to its readability and portability. The Criteria API shines when building dynamic queries with optional filters. Native SQL serves as a powerful fallback for database-specific features, though we should be mindful of the vendor lock-in it creates.

For most applications, sticking with the half-open interval pattern (>= startDate AND < endDate) in HQL will be the simplest and most reliable approach.

As always, the complete source code for the tutorial is available over on GitHub.

Baeldung Pro – NPI EA (cat = Baeldung)
announcement - icon

Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

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)
announcement - icon

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:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
announcement - icon

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)
announcement - icon

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)
announcement - icon

Working on getting your persistence layer right with Spring?

Explore the eBook

Course – LS – NPI EA (cat=REST)

announcement - icon

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

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (tag=Refactoring)
announcement - icon

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)