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 – 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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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.

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Course – LJB – NPI EA (cat = Core Java)
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1. Overview

In this quick tutorial, we’ll discuss the addScalar() method used in Hibernate with the help of an example. We’ll learn how to use the method and the benefits of using it.

2. What Problem Does addScalar() Solve?

Normally, when fetching results in Hibernate using native SQL query, we use the createNativeQuery() method,  followed by the list() method:

session.createNativeQuery("SELECT * FROM Student student")
  .list();

In this case, Hibernate uses ResultSetMetadata to find column details and returns the list of Object arrays.

But, excessive use of ResultSetMetadata may result in poor performance, and this is where the addScalar() method is useful.

By using addScalar() method, we can prevent Hibernate from using ResultSetMetadata.

3. How to Use addScalar()?

Let’s create a new method to fetch a list of students using the addScalar() method:

public List<Object[]> fetchColumnWithScalar() {
    return session.createNativeQuery("SELECT * FROM Student student")
      .addScalar("studentId", StandardBasicTypes.LONG)
      .addScalar("name", StandardBasicTypes.STRING)
      .addScalar("age", StandardBasicTypes.INTEGER)
      .list();
}

Here, we need to specify the column name and its data type as arguments to the addScalar() method.

Now, Hibernate won’t use ResultSetMetadata to get column details as we’re defining it upfront in addScalar(). Therefore, we’ll get better performance as compared to the previous approach.

4. Other Advantages

Let’s see a few more use-cases where we can use the addScalar() method.

4.1. Limit Number of Columns

We can also use the addScalar() method to limit the number of columns returned by our query.

Let’s write another method fetchLimitedColumnWithScalar() to fetch only student name column:

public List<String> fetchLimitedColumnWithScalar() {
    return session.createNativeQuery("SELECT * FROM Student student")
      .addScalar("name", StandardBasicTypes.STRING)
      .list();
}

Here, we’ve used an asterisk in our query to fetch a List of students:

SELECT * FROM Student student

But, it will not fetch all the columns and only returns a single column name in the List because we’ve only specified a single column in the addScalar() method.

Let’s create a JUnit method to verify the column returned by the fetchLimitedColumnWithScalar() method:

List<String> list = scalarExample.fetchLimitedColumnWithScalar();
for (String colValue : list) {
    assertTrue(colValue.startsWith("John"));
}

As we can see, this will return the List of strings instead of the Object arrays. Also, in our sample data, we’ve kept all student names starting with “John” and that’s why we are asserting columns value against it in the unit test above.

This makes our code more explicit in terms of what it’s returning.

4.2. Return Single Scalar Value

We can also use the addScalar() method to return directly a single scalar value instead of lists.

Let’s create a method that returns the average age of all students:

public Double fetchAvgAgeWithScalar() {
    return (Double) session.createNativeQuery("SELECT AVG(age) as avgAge FROM Student student")
      .addScalar("avgAge")
      .uniqueResult();
}

Now, let’s verify the same with a unit-test method:

Double avgAge = scalarExample.fetchAvgAgeWithScalar();
assertEquals(true, (avgAge >= 5 && avgAge <= 24));

As we can see, the fetchAvgAgeScalar() method directly returns the Integer value, and we are asserting it.

In our sample data, we’ve provided random ages of students between 5 to 24 age. Hence, during assertion, we are expecting the average to be between 5 and 24.

Similarly, we can use any other aggregate functions in SQL to directly get count, max, min, sum, or any other single scalar values directly using the addScalar() method.

5. Overloaded addScalar() Method

We also have an overloaded addScalar() method, and it accepts only a column name as its single argument.

Let’s create a new method and use the overloaded addScalar() method, which fetches the age column without specifying its type:

public List<Object[]> fetchWithOverloadedScalar() {
    return session.createNativeQuery("SELECT * FROM Student student")
      .addScalar("name", StandardBasicTypes.STRING)
      .addScalar("age")
      .list();
}

Now, let’s write another JUnit method to verify if our method is returning two or more columns:

List<Object[]> list = scalarExample.fetchColumnWithOverloadedScalar();
for (Object[] colArray : list) {
    assertEquals(2, colArray.length);
}

As we can see, this returns a List of Object arrays, and the size of the array is two, which represents the name and age columns in the list.

6. Conclusion

In this article, we’ve seen the uses of the addScalar() method in Hibernate, how to use it and when to use it, along with an example.

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:

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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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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.

Course – LSD – NPI (cat=JPA)
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Get started with Spring Data JPA through the reference Learn Spring Data JPA:

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eBook Jackson – NPI EA – 3 (cat = Jackson)
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