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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.

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eBook – Jackson – NPI EA (cat=Jackson)
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eBook – Persistence – NPI EA (cat=Persistence)
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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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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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Course – LJB – NPI EA (cat = Core 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

Building queries using JPA isn’t difficult; however, we sometimes forget simple things that make a huge difference.

One of these things is JPA query parameters, and that’s what we’ll focus on in this tutorial.

2. What Are Query Parameters?

Let’s start by explaining what query parameters are.

Query parameters are a way to build and execute parameterized queries. So, instead of:

SELECT * FROM employees e WHERE e.emp_number = '123';

We’d do:

SELECT * FROM employees e WHERE e.emp_number = ?;

By using a JDBC prepared statement, we need to set the parameter before executing the query:

pStatement.setString(1, 123);

3. Why Should We Use Query Parameters?

Instead of using query parameters, we could’ve used literals, although that’s not the recommended way to do it, as we’ll see now.

Let’s rewrite the previous query to get employees by emp_number using the JPA API, but instead of using a parameter, we’ll use a literal so we can clearly illustrate the situation:

String empNumber = "A123";
TypedQuery<Employee> query = em.createQuery(
  "SELECT e FROM Employee e WHERE e.empNumber = '" + empNumber + "'", Employee.class);
Employee employee = query.getSingleResult();

This approach has some drawbacks:

  • Embedding parameters introduce a security risk, making us vulnerable to JPQL injection attacks. Instead of the expected value, an attacker may inject any unexpected and possibly dangerous JPQL expression.
  • Depending on the JPA implementation we use, and the heuristics of our application, the query cache may get exhausted. A new query may get built, compiled, and cached each time we use it with each new value/parameter. At a minimum, it won’t be efficient, and it may also lead to an unexpected OutOfMemoryError.

4. JPA Query Parameters

Similar to JDBC prepared statement parameters, JPA specifies two different ways to write parameterized queries by using:

  • Positional parameters
  • Named parameters

We may use either positional or named parameters, but we must not mix them within the same query.

4.1. Positional Parameters

Using positional parameters is one way to avoid the aforementioned issues listed earlier.

Let’s see how we would write such a query with the help of positional parameters:

TypedQuery<Employee> query = em.createQuery(
  "SELECT e FROM Employee e WHERE e.empNumber = ?1", Employee.class);
String empNumber = "A123";
Employee employee = query.setParameter(1, empNumber).getSingleResult();

As we’ve seen with the previous example, we declare these parameters within the query by typing a question mark, followed by a positive integer number. We’ll start with 1 and move forward, incrementing it by one each time.

We may use the same parameter more than once within the same query, which makes these parameters more similar to named parameters.

Parameter numbering is a very useful feature, since it improves usability, readability, and maintenance.

It’s worth mentioning that native SQL queries support positional parameter binding, as well.

4.2. Collection-Valued Positional Parameters

As previously stated, we may also use collection-valued parameters:

TypedQuery<Employee> query = entityManager.createQuery(
  "SELECT e FROM Employee e WHERE e.empNumber IN (?1)" , Employee.class);
List<String> empNumbers = Arrays.asList("A123", "A124");
List<Employee> employees = query.setParameter(1, empNumbers).getResultList();

4.3. Named Parameters

Named parameters are quite similar to positional parameters; however, by using them, we make the parameters more explicit and the query becomes more readable:

TypedQuery<Employee> query = em.createQuery(
  "SELECT e FROM Employee e WHERE e.empNumber = :number" , Employee.class);
String empNumber = "A123";
Employee employee = query.setParameter("number", empNumber).getSingleResult();

The previous sample query is the same as the first one, but we’ve used :number, a named parameter, instead of ?1.

We can see that we declared the parameter with a colon, followed by a string identifier (JPQL identifier), which is a placeholder for the actual value that we’ll set at runtime. Before executing the query, we have to set the parameter or parameters by issuing the setParameter method.

One interesting thing to remark is that TypedQuery supports method chaining, which becomes very useful when multiple parameters have to be set.

Let’s go ahead and create a variation of the previous query using two named parameters to illustrate the method chaining:

TypedQuery<Employee> query = em.createQuery(
  "SELECT e FROM Employee e WHERE e.name = :name AND e.age = :empAge" , Employee.class);
String empName = "John Doe";
int empAge = 55;
List<Employee> employees = query
  .setParameter("name", empName)
  .setParameter("empAge", empAge)
  .getResultList();

Here we’re retrieving all employees with a given name and age. As we clearly see, and one may expect, we can build queries with multiple parameters and as many occurrences of them as required.

If for some reason we do need to use the same parameter many times within the same query, we just need to set it once by issuing the “setParameter” method. At runtime, the specified values will replace each occurrence of the parameter.

Finally, it’s worth mentioning that the Java Persistence API specification doesn’t mandate that native queries support named parameters. Even when some implementations, like Hibernate, do support it, we need to take into account that if we do use it, the query won’t be as portable.

4.4. Collection-Valued Named Parameters

For clarity, let’s also demonstrate how this works with collection-valued parameters:

TypedQuery<Employee> query = entityManager.createQuery(
  "SELECT e FROM Employee e WHERE e.empNumber IN (:numbers)" , Employee.class);
List<String> empNumbers = Arrays.asList("A123", "A124");
List<Employee> employees = query.setParameter("numbers", empNumbers).getResultList();

As we can see, it works in a similar way to positional parameters.

5. Criteria Query Parameters

A JPA query may be built by using the JPA Criteria API, which Hibernate’s official documentation explains in great detail.

In this type of query, we represent parameters by using objects instead of names or indices.

Let’s build the same query again, but this time using the Criteria API to demonstrate how to handle query parameters when dealing with CriteriaQuery:

CriteriaBuilder cb = em.getCriteriaBuilder();

CriteriaQuery<Employee> cQuery = cb.createQuery(Employee.class);
Root<Employee> c = cQuery.from(Employee.class);
ParameterExpression<String> paramEmpNumber = cb.parameter(String.class);
cQuery.select(c).where(cb.equal(c.get(Employee_.empNumber), paramEmpNumber));

TypedQuery<Employee> query = em.createQuery(cQuery);
String empNumber = "A123";
query.setParameter(paramEmpNumber, empNumber);
Employee employee = query.getResultList();

For this type of query, the parameter’s mechanic is a little bit different since we use a parameter object, but in essence, there’s no difference.

Within the previous example, we can see the usage of the Employee_ class. We generated this class with the Hibernate metamodel generator. These components are part of the static JPA metamodel, which allows criteria queries to be built in a strongly-typed manner.

6. Conclusion

In this article, we focused on the mechanics of building queries by using JPA query parameters or input parameters.

We learned that we have two types of query parameters, positional and named, and it’s up to us which one best fits our objectives.

It’s also worth noting that all query parameters must be single-valued, except for in expressions. For in expressions, we may use collection-valued input parameters, such as arrays or Lists, as shown in the previous examples.

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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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:

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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.

Course – LSD – NPI (cat=JPA)
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eBook Jackson – NPI EA – 3 (cat = Jackson)