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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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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.

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eBook – Jackson – NPI EA (cat=Jackson)
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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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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

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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:

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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.

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1. Overview

Spring JdbcTemplate is a powerful tool for developers to focus on writing SQL queries and extracting results. It connects to the back-end database and executes SQL queries directly.

Therefore, we can use integration tests to make sure that we can pull data from the database properly. Also, we can write unit tests to check the correctness of the related functionalities.

In this tutorial, we’ll show how to unit test JdbcTemplate code.

2. JdbcTemplate and Running Queries

Firstly, let’s start with a data access object (DAO) class that uses JdbcTemplate:

public class EmployeeDAO {
    private JdbcTemplate jdbcTemplate;

    public void setDataSource(DataSource dataSource) {
        jdbcTemplate = new JdbcTemplate(dataSource);
    }

    public int getCountOfEmployees() {
        return jdbcTemplate.queryForObject("SELECT COUNT(*) FROM EMPLOYEE", Integer.class);
    }
}

We dependency-inject a DataSource object into the EmployeeDAO class. Then, we create the JdbcTemplate object in the setter method. Also, we use JdbcTemplate in an example method getCountOfEmployees().

There are two ways to unit test methods that use JdbcTemplate.

We can use an in-memory database such as the H2 database as the data source for testing. However, in real-world applications, the SQL query could have complicated relationships, and we need to create complex setup scripts to test the SQL statements.

Alternatively, we can also mock the JdbcTemplate object to test the method functionality.

3. Unit Test With H2 Database

We can create a data source that connects to the H2 database and inject it into the EmployeeDAO class:

@Test
public void whenInjectInMemoryDataSource_thenReturnCorrectEmployeeCount() {
    DataSource dataSource = new EmbeddedDatabaseBuilder().setType(EmbeddedDatabaseType.H2)
      .addScript("classpath:jdbc/schema.sql")
      .addScript("classpath:jdbc/test-data.sql")
      .build();

    EmployeeDAO employeeDAO = new EmployeeDAO();
    employeeDAO.setDataSource(dataSource);

    assertEquals(4, employeeDAO.getCountOfEmployees());
}

In this test, we first construct a data source on the H2 database. During the construction, we execute schema.sql to create the EMPLOYEE table:

CREATE TABLE EMPLOYEE
(
    ID int NOT NULL PRIMARY KEY,
    FIRST_NAME varchar(255),
    LAST_NAME varchar(255),
    ADDRESS varchar(255)
);

Also, we run test-data.sql to add test data into the table:

INSERT INTO EMPLOYEE VALUES (1, 'James', 'Gosling', 'Canada');
INSERT INTO EMPLOYEE VALUES (2, 'Donald', 'Knuth', 'USA');
INSERT INTO EMPLOYEE VALUES (3, 'Linus', 'Torvalds', 'Finland');
INSERT INTO EMPLOYEE VALUES (4, 'Dennis', 'Ritchie', 'USA');

Then, we can inject this data source into the EmployeeDAO class and test the getCountOfEmployees method over the in-memory H2 database.

4. Unit Test With Mock Object

We can mock the JdbcTemplate object so that we don’t need to run the SQL statement on a database:

public class EmployeeDAOUnitTest {
    @Mock
    JdbcTemplate jdbcTemplate;

    @Test
    public void whenMockJdbcTemplate_thenReturnCorrectEmployeeCount() {
        EmployeeDAO employeeDAO = new EmployeeDAO();
        ReflectionTestUtils.setField(employeeDAO, "jdbcTemplate", jdbcTemplate);
        Mockito.when(jdbcTemplate.queryForObject("SELECT COUNT(*) FROM EMPLOYEE", Integer.class))
          .thenReturn(4);

        assertEquals(4, employeeDAO.getCountOfEmployees());
    }
}

In this unit test, we first declare a mock JdbcTemplate object with the @Mock annotation. Then we inject it to the EmployeeDAO object using ReflectionTestUtilsAlso, we use the Mockito utility to mock the return result of the JdbcTemplate query. This allows us to test the functionality of the getCountOfEmployees method without connecting to a database.

We use an exact match on the SQL statement string when we mock the JdbcTemplate query. In real-world applications, we may create complex SQL strings, and it is hard to do an exact match. Therefore, we can also use the anyString() method to bypass the string check:

Mockito.when(jdbcTemplate.queryForObject(Mockito.anyString(), Mockito.eq(Integer.class)))
  .thenReturn(3);
assertEquals(3, employeeDAO.getCountOfEmployees());

5. Spring Boot @JdbcTest

Finally, if we’re using Spring Boot, there is an annotation we can use to bootstrap a test with an H2 database and a JdbcTemplate bean: @JdbcTest.

Let’s create a test class with this annotation:

@JdbcTest
@Sql({"schema.sql", "test-data.sql"})
class EmployeeDAOIntegrationTest {
    @Autowired
    private JdbcTemplate jdbcTemplate;

    @Test
    void whenInjectInMemoryDataSource_thenReturnCorrectEmployeeCount() {
        EmployeeDAO employeeDAO = new EmployeeDAO();
        employeeDAO.setJdbcTemplate(jdbcTemplate);

        assertEquals(4, employeeDAO.getCountOfEmployees());
    }
}

We can also note the presence of the @Sql annotation which allows us to specify the SQL files to run before the test.

6. Conclusion

In this tutorial, we showed multiple ways to unit test JdbcTemplate.

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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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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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.

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