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.

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:

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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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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:

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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.

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.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

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Partner – LambdaTest – NPI EA (cat=Testing)
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Regression testing is an important step in the release process, to ensure that new code doesn't break the existing functionality. As the codebase evolves, we want to run these tests frequently to help catch any issues early on.

The best way to ensure these tests run frequently on an automated basis is, of course, to include them in the CI/CD pipeline. This way, the regression tests will execute automatically whenever we commit code to the repository.

In this tutorial, we'll see how to create regression tests using Selenium, and then include them in our pipeline using GitHub Actions:, to be run on the LambdaTest cloud grid:

>> How to Run Selenium Regression Tests With GitHub Actions

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of Java:

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1. Overview

Data handling is one of the critical tasks in software development. A common use case is retrieving data from a database and exporting it into a format for further analysis such as Excel files.

This tutorial will show how to export data from a JDBC ResultSet to an Excel file using the Apache POI library.

2. Maven Dependency

In our example, we’ll read some data from a database table and write it into an Excel file. Let’s define the Apache POI and POI OOXML schema dependencies in the pom.xml:

<dependency> 
    <groupId>org.apache.poi</groupId>
    <artifactId>poi</artifactId> 
    <version>5.3.0</version> 
</dependency> 
<dependency> 
    <groupId>org.apache.poi</groupId> 
    <artifactId>poi-ooxml</artifactId> 
    <version>5.3.0</version> 
</dependency>

We’ll adopt the H2 database for our demonstration. Let’s include its dependency as well:

<dependency>
    <groupId>com.h2database</groupId>
    <artifactId>h2</artifactId>
    <version>2.3.232</version>
</dependency>

3. Data Preparation

Next, let’s prepare some data for our demonstration by creating a products table in the H2 database and inserting rows into it:

CREATE TABLE products (
    id INT AUTO_INCREMENT PRIMARY KEY, 
    name VARCHAR(255) NOT NULL, 
    category VARCHAR(255), 
    price DECIMAL(10, 2) 
);

INSERT INTO products(name, category, price) VALUES ('Chocolate', 'Confectionery', 2.99);
INSERT INTO products(name, category, price) VALUES ('Fruit Jellies', 'Confectionery', 1.5);
INSERT INTO products(name, category, price) VALUES ('Crisps', 'Snacks', 1.69);
INSERT INTO products(name, category, price) VALUES ('Walnuts', 'Snacks', 5.95);
INSERT INTO products(name, category, price) VALUES ('Orange Juice', 'Juices', 2.19);

With the table created and data inserted, we can use JDBC to fetch all data stored within the products table:

try (Connection connection = getConnection();
    Statement statement = connection.createStatement();
    ResultSet resultSet = statement.executeQuery(dataPreparer.getSelectSql());) {
    // The logic of export data to Excel file.
}

We have neglected the implementation details of getConnection(). We normally get a JDBC connection either by raw JDBC connection, via a connection pool, or from a DataSource.

4. Create a Workbook

An Excel file consists of a workbook and can contain multiple sheets. In our demonstration, we’ll create a Workbook and a single Sheet that we’ll write the data into later. First of all, let’s create a Workbook:

Workbook workbook = new XSSFWorkbook();

There are a few Workbook variants that we can choose from Apache POI:

  • HSSFWorkbook – the older Excel format (97-2003) generator with extension .xls
  • XSSFWorkbook – used to create the newer, XML-based Excel 2007 format with the .xlsx extension
  • SXSSFWorkbook – also creates the files with the .xlsx extension but by streaming, hence keeping memory usage to a minimum

For this example, we’ll use XSSFWorkbook. However, if we anticipate exporting many rows, say more than 10,000 rows, then we’d be better off with SXSSFWorkbook over XSSFWorkbook for more efficient memory utilization.

Next, let’s create a Sheet named “data” within the Workbook:

Sheet sheet = workbook.createSheet("data");

5. Create the Header Row

Typically, a header would contain the title of each column in our dataset. Since we’re dealing here with the ResultSet object returned from JDBC, we could use the ResultSetMetaData interface that provides metadata regarding ResultSet columns.

Let’s see how to get the column names using ResultSetMetaData and create a header row of an Excel sheet using Apache POI:

Row row = sheet.createRow(sheet.getLastRowNum() + 1);
for (int n = 0; n < numOfColumns; n++) {
    String label = resultSetMetaData.getColumnLabel(n + 1);
    Cell cell = row.createCell(n);
    cell.setCellValue(label);
}

In this example, we obtain the column names dynamically from ResultSetMetaData and use them as header cells of our Excel sheet. This way, we’ll avoid the hard-coding of column names.

6. Create Data Rows

After adding the header row, let’s load the table data to the Excel file:

while (resultSet.next()) {
    Row row = sheet.createRow(sheet.getLastRowNum() + 1);
    for (int n = 0; n < numOfColumns; n++) {
        Cell cell = row.createCell(n);
        cell.setCellValue(resultSet.getString(n + 1));
    }
}

We iterate on ResultSet and, for each iteration, we create a new row in the sheet. Based on the column numbers obtained earlier in the header row via the sheet.getLastRowNum(), we do an iteration on every column to get the data from the current row and write to the corresponding Excel cells.

7. Write the Workbook

Now that our Workbook is fully populated, we can write it into an Excel file. Since we used an instance of XSSFWorkbook as our implementation, the exporting file will be saved in the Excel 2007 file format with the .xslx extension:

File excelFile = // our file
try (OutputStream outputStream = new BufferedOutputStream(new FileOutputStream(excelFile))) {
    workbook.write(outputStream);
    workbook.close();
}

It’s good practice to close the Workbook explicitly after writing by calling the close() method on the instance of the Workbook. This will ensure that resources get released and data gets flushed to the file.

Now, let’s see the exported results, which are according to our table definition and also maintain the insertion order of the data:

export excel

8. Conclusion

In this article, we went through how to export data from a JDBC ResultSet into an Excel file with Apache POI. We created a Workbook, dynamically populated header rows from ResultSetMetaData, and filled the sheet with data rows by iterating the ResultSet.

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:

>> 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?

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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.

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