Partner – Microsoft – NPI EA (cat = Baeldung)
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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 – 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, you can get started over on the documentation page.

And, 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.

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.

eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with 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.

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

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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 – 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:

>> Join Pro and download the eBook

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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Working on getting your persistence layer right with Spring?

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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:

>> The New “REST With Spring Boot”

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:

>> Learn Spring Security

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.

Get started with Spring Data JPA through the guided reference course:

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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Partner – LambdaTest – NPI EA (cat=Testing)
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Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

By automating these tests, teams can quickly detect issues related to screen reader compatibility, keyboard navigation, color contrast, and other aspects that could pose a barrier to using the software effectively for people with disabilities.

Learn how to automate accessibility testing with Selenium and the LambdaTest cloud-based testing platform that lets developers and testers perform accessibility automation on over 3000+ real environments:

Automated Accessibility Testing With Selenium

1. Overview

When working with Spring’s JdbcTemplate, we often need to convert the query result to a List of POJOs. However, a common pitfall we might encounter is the IncorrectResultSetColumnCountException.

This usually happens when we misuse the JdbcTemplate‘s queryForList() method, especially when we try to map it directly to a custom POJO class.

In this tutorial, we’ll explore what causes this, how to use queryForList() correctly, and how to map the query result to a custom class.

2. Introduction to the Problem

Let’s say we have a STUDENT_TBL database table and it contains four students’ data:

CREATE TABLE STUDENT_TBL
(
    ID    int NOT NULL PRIMARY KEY,
    NAME  varchar(255),
    MAJOR varchar(255)
);

INSERT INTO STUDENT_TBL VALUES (1, 'Kai', 'Computer Science');
INSERT INTO STUDENT_TBL VALUES (2, 'Eric', 'Computer Science');
INSERT INTO STUDENT_TBL VALUES (3, 'Kevin', 'Banking');
INSERT INTO STUDENT_TBL VALUES (4, 'Liam', 'Law');

Also, we’ve created a Student POJO class:

public class Student {
    private Integer id;
    private String name;
    private String major;

    public Student() {
    }

    public Student(Integer id, String name, String major) {
        this.id = id;
        this.name = name;
        this.major = major;
    }

    // getter, setter, equals, and hashCode methods are omitted ...
}

For simplicity, we’ll skip showing related Spring configurations, such as data source configuration.

Now, we want to use JdbcTemplate to query the data from the STUDENT_TBL table and convert each entry to a Student object to obtain a List of Student objects. 

After reviewing the JdbcTemplate API, queryForList () seems to handle this task, just as its name suggests. Therefore, we may come up with something like:

List<Student> students = jdbcTemplate.queryForList("SELECT * FROM STUDENT_TBL", Student.class);

However, when we test it, this line throws an exception:

assertThrows(IncorrectResultSetColumnCountException.class, () -> jdbcTemplate.queryForList("SELECT * FROM STUDENT_TBL", Student.class));

This is a common pitfall of using queryForList() with a Class. So next, let’s understand why queryForList() throws IncorrectResultSetColumnCountException in this case and explore the proper way to achieve our goal.

3. The queryForList() Method

To understand why queryForList() throws the exception, we must understand what this method does.

JdbcTemplate offers two queryForList() methods:

  • queryForList(String sql, Class<T> elementType) returns List<T>
  • queryForList(String sql) returns List<Map<String, Object>>

Next, let’s take a closer look at them.

3.1. Retrieving a Single Column From the Database as a List of Values

Calling the queryForList(String sql, Class<T> elementType) isn’t meant for mapping rows to objects. Instead, it’s intended for queries that return a single column. For example, in our example, we can use if to obtain a list of ID or NAME values:

List<String> names = jdbcTemplate.queryForList("SELECT NAME FROM STUDENT_TBL", String.class);
assertEquals(List.of("Kai", "Eric", "Kevin", "Liam"), names);

List<Integer> ids = jdbcTemplate.queryForList("SELECT ID FROM STUDENT_TBL", Integer.class);
assertEquals(List.of(1, 2, 3, 4), ids);

As the example above shows, the second parameter Class<T> elementType indicates the type of the single column we are querying:

  • NAMEString.class
  • IDInteger.class

As queryForList(String sql, Class<T> elementType) is for single-column queries only, it isn’t difficult to understand why it throws IncorrectResultSetColumnCountException when we try to use it for multi-column queries.

3.2. Retrieving Rows of Multiple Columns From the Database as a List of Maps

The other queryForList() only accepts one sql parameter. It executes a SQL query and returns the results as a List<Map<String, Object>>. Each row is represented as a Map, where the column names are the keys.

Next, let’s see a couple of examples:

List<Map<String, Object>> nameMajorRowMaps = jdbcTemplate.queryForList("SELECT NAME, MAJOR FROM STUDENT_TBL");

assertEquals(List.of(
  Map.of("NAME", "Kai", "MAJOR", "Computer Science"),
  Map.of("NAME", "Eric", "MAJOR", "Computer Science"),
  Map.of("NAME", "Kevin", "MAJOR", "Banking"),
  Map.of("NAME", "Liam", "MAJOR", "Law")
), nameMajorRowMaps);

In this example, we queried NAME and MAJOR from the STUDENT_TBL table using queryForList(). As a result, each row from the database becomes a Map object.

Similarly, we can select all columns from a table and access any columns by name:

List<Map<String, Object>> rowMaps = jdbcTemplate.queryForList("SELECT * FROM STUDENT_TBL");

assertEquals(List.of(
  Map.of("ID", 1, "NAME", "Kai", "MAJOR", "Computer Science"),
  Map.of("ID", 2, "NAME", "Eric", "MAJOR", "Computer Science"),
  Map.of("ID", 3, "NAME", "Kevin", "MAJOR", "Banking"),
  Map.of("ID", 4, "NAME", "Liam", "MAJOR", "Law")
), rowMaps);

As we can see, queryForList(sql) offers a quick way to fetch rows with multiple columns directly from the database without creating custom classes.

4. Mapping Each Row to a Student Object

Now we’ve understood the proper usage of JdbcTemplate‘s queryForList() methods. However, we haven’t achieved our goal since we aim to convert each database row to a Student and get a List of Student objects.

We should use the query() method with a RowMapper to map each row to a Student object. For example, we can employ the convenient built-in BeanPropertyRowMapper class, which works by matching column names from the database to the property names of a Java class:

List<Student> expected = List.of(
  new Student(1, "Kai", "Computer Science"),
  new Student(2, "Eric", "Computer Science"),
  new Student(3, "Kevin", "Banking"),
  new Student(4, "Liam", "Law")
);

List<Student> students = jdbcTemplate.query("SELECT * FROM STUDENT_TBL", new BeanPropertyRowMapper<>(Student.class));

assertEquals(expected, students);

As the example shows, BeanPropertyRowMapper saves us from writing custom RowMapper code and is ideal when column and field names match.

5. Conclusion

In this article, we’ve understood why queryForList() isn’t meant for object mapping and explored how to use BeanPropertyRowMapper to map a row in the database to a custom class.

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

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:

>> Explore a clean Baeldung

Once the early-adopter seats are all used, the price will go up and stay at $33/year.

Partner – Microsoft – NPI EA (cat = Baeldung)
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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 – 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.

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.

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:

>> Download the eBook

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:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

Explore the eBook

Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Course – LS – NPI EA (cat=REST)

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

>> CHECK OUT THE COURSE

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