Course – Black Friday 2025 – NPI EA (cat= Baeldung)
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Yes, we're now running our Black Friday Sale. All Access and Pro are 33% off until 2nd December, 2025:

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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 – 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:

>> 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

Partner – Orkes – NPI EA (cat=Java)
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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.

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 – 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.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – Black Friday 2025 – NPI (cat=Baeldung)
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Yes, we're now running our Black Friday Sale. All Access and Pro are 33% off until 2nd December, 2025:

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1. Overview

In this tutorial, we’ll be looking at how to use PreparedStatements efficiently. A PreparedStatement is an object that stores a precompiled SQL statement for us. We can then use this object to repeatedly execute that SQL. Throughout this article, we’ll see that there are several methods for doing this, and picking the right one can significantly improve our code and the performance of our application.

2. Setup

To start we need to set up a database and get a Connection we can use. Let’s create a table called CUSTOMER with three columns; id, first_name, and last_name:

Connection connection = null;

void setupDatabaseAndConnect() throws SQLException {
    connection = DriverManager.getConnection("jdbc:h2:mem:testDB", "dbUser", "dbPassword");
    String createTable = "CREATE TABLE CUSTOMER (id INT, first_name TEXT, last_name TEXT)";
    connection.createStatement().execute(createTable);
}

Here we’ve connected to a H2 in memory database and kept our Connection object as a class-level variable so that we can use it in our methods later. Following that we’ve created our table as planned using that Connection. The type of database we connect to here and the definition of the table aren’t important, this is just so we have something we can use later in our examples.

3. Inefficient Use of a Prepared Statement

For our first attempt at putting some data into our database, let’s set a very basic usage of a PreparedStatement that works but is far from ideal:

String SQL = "INSERT INTO CUSTOMER (id, first_name, last_name) VALUES(?,?,?)";
void inefficientUsage() throws SQLException {
    for (int i = 0; i < 10000; i++) {
        PreparedStatement preparedStatement = connection.prepareStatement(SQL);
        preparedStatement.setInt(1, i);
        preparedStatement.setString(2, "firstname" + i);
        preparedStatement.setString(3, "secondname" + i);
        preparedStatement.executeUpdate();
        preparedStatement.close();
    }
}

Here we’ve defined our SQL String, then jumped straight into a for loop. For each cycle of the loop, we create a PreparedStatement, set the parameters, execute the update, and then close it.

To see if this has worked we can count the columns in our Customer table. We can do this with another PreparedStatement:

int checkRowCount() {
    try (PreparedStatement counter = connection.prepareStatement("SELECT COUNT(*) AS customers FROM CUSTOMER")) {
        ResultSet resultSet = counter.executeQuery();
        resultSet.next();
        int count = resultSet.getInt("customers");
        resultSet.close();
        return count;
    } catch (SQLException e) {
        return -1;
    }
}

Finally, let’s call both in a test and see what happens:

@Test
void whenCallingInefficientPreparedStatementMethod_thenRowsAreCreatedAsExpected() throws SQLException {
    ReusePreparedStatement service = new ReusePreparedStatement();
    service.setupDatabaseAndConnect();
    service.inefficientUsage();
    int rowsCreated = service.checkRowCount();
    assertEquals(10000, rowsCreated);
}

We can see that everything worked as expected, we created 10,000 rows. However, this was performed far from optimally. We created and closed a PreparedStatement object 10,000 times. The impact on performance this has in other applications depends on how often we do this and the size of our loops. However, it’s best avoided completely as there are better ways which we’ll look at next.

4. Simple Reuse of a Prepared Statement

Following our basic implementation, the obvious improvement is to move the PreparedStatement creation out of the for loop. We can create it once and use it as many times as we need. Another slight improvement we can make is to use try-with-resources to manage the lifecycle of the PreparedStatement.

Let’s see how that looks using the same SQL as last time:

void betterUsage() {
     try (PreparedStatement preparedStatement = connection.prepareStatement(SQL)) {
        for (int i = 0; i < 10000; i++) {
            preparedStatement.setInt(1, i);
            preparedStatement.setString(2, "firstname" + i);
            preparedStatement.setString(3, "secondname" + i);
            preparedStatement.executeUpdate();
        }
    } catch (SQLException e) {
        throw new RuntimeException(e);
    }
}

So now we’re only creating our PreparedStatement once. We also don’t have to worry about calling close() on it as that’s taken care of for us. In a real-world implementation, we’d look to handle the exception better of course. This is the minimum efficiency we should be using in our code.

Let’s write a test to check it works as expected:

@Test
void whenCallingBetterPreparedStatementMethod_thenRowsAreCreatedAsExpected() throws SQLException {
    ReusePreparedStatement servicehow to use PreparedStatements efficiently = new ReusePreparedStatement();
    service.setupDatabaseAndConnect();
    service.betterUsage();
    int rowsCreated = service.checkRowCount();
    assertEquals(10000, rowsCreated);
}

This look very familiar from earlier. That’s because we are doing exactly the same thing. Functionally our implementations are essentially the same so far. We can see again here that we get the 10,000 rows we expected.

There are more potential issues with this approach. For one, we’re sending the update to the database every single time, so that’s a lot of database interaction. Also if we get interrupted for any reason it will be very hard to resume the task at all, let alone at the right place. We would have no way of knowing where we’d got to without going through the database and looking at every update we’d planned to do. We’ll address that concern in the next section.

5. Improving Efficiency With Batches

Finally, let’s reach the best option for reusing a PreparedStatement. The key here is using batches.

We’ll add all our updates into a batch and execute that batch at the end when we’re ready. By doing this we remove the risk of something breaking halfway through our task and not knowing where we got to:

void bestUsage() {
    try (PreparedStatement preparedStatement = connection.prepareStatement(SQL)) {
        connection.setAutoCommit(false);
        for (int i = 0; i < 10000; i++) {
            preparedStatement.setInt(1, i);
            preparedStatement.setString(2, "firstname" + i);
            preparedStatement.setString(3, "secondname" + i);
            preparedStatement.addBatch();
        }
        preparedStatement.executeBatch();
        try {
           connection.commit();
        } catch (SQLException e) {
            connection.rollback();
            throw e;
        }
    } catch (SQLException e) {
        throw new RuntimeException(e);
    }
}

Again here we’ve created a PreparedStatement in our try-with-resources. The difference this time is before we start our loop we’ve called setAutoCommit(false). This tells the Connection to group our SQL statements into transactions which we can decide when to commit. Then in our for loop, we add our parameters to the batch. Only once we’ve added them all do we execute the batch, and assuming that goes well we commit the changes. If anything goes wrong during the commit, we catch the exception and roll back to where we started. This means we aren’t left with a job half done and an unknown database state.

We could execute and commit our batches more frequently if we wanted, every 5000 records for example. This would mean we wouldn’t lose all our progress in the event of an interruption. If we did this, we’d likely want to keep a log of how far we’ve got through the updates as we go. This would help us resume what we were doing once we’ve resolved any problems.

6. Conclusion

In this article, we looked at three ways to use PreparedStatements to insert data into a database. We started by creating one for every update we made and saw that it worked well but was inefficient. We progressed to reusing one within the loop, which was better and meant we only had to create and close the object once. Finally, we not only reused the same one within a loop but also batched up our inserts and executed them periodically.

So to make the best use of a PreparedStatement, we need to create it once, reuse it as many times as we need, and execute our updates in batches if there are a lot.

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.

Course – Black Friday 2025 – NPI EA (cat= Baeldung)
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Yes, we're now running our Black Friday Sale. All Access and Pro are 33% off until 2nd December, 2025:

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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:

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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:

>> 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.

Course – Black Friday 2025 – NPI (All)
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eBook Jackson – NPI EA – 3 (cat = Jackson)