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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

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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.
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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.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

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With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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eBook – Java Streams – NPI EA (cat=Java Streams)
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