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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.

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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.

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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.

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1. Introduction

In this quick tutorial, we’ll explore the possibility of getting the auto-generated key after inserting entities when working with Spring JDBC.

2. Maven Dependencies

At first, we need to have spring-boot-starter-jdbc and H2 dependencies defined in our pom.xml:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
    <groupId>com.h2database</groupId>
    <artifactId>h2</artifactId>
    <scope>runtime</scope>
</dependency>

We can check out the latest version of those two dependencies on Maven Central: spring-boot-starter-jdbc and h2.

3. Getting the Auto-Generated Key

3.1. The Scenario

Let’s define a sys_message table which has 2 columns: id (auto-generated key) and message:

CREATE TABLE IF NOT EXISTS sys_message (
    id bigint(20) NOT NULL AUTO_INCREMENT,
    message varchar(100) NOT NULL,
    PRIMARY KEY (id)
);

3.2. Using the JdbcTemplate

Now, let’s implement a method which will use JDBCTemplate to insert the new record and return the auto-generated id. 

Therefore, we’ll use the JDBCTemplate update() method which supports the retrieval of primary keys generated by the database. This method takes an instance of the PrepareStatementCreator interface as the first argument and the other argument is the KeyHolder. 

Since the PrepareStatementCreator interface is a FunctionalInterface where its method accepts an instance of java.sql.Connection and return a java.sql.PreparedStatement object, for simplicity, we can use a lambda expression:

String INSERT_MESSAGE_SQL 
  = "insert into sys_message (message) values(?) ";
    
public long insertMessage(String message) {    
    KeyHolder keyHolder = new GeneratedKeyHolder();

    jdbcTemplate.update(connection -> {
        PreparedStatement ps = connection
          .prepareStatement(INSERT_MESSAGE_SQL, Statement.RETURN_GENERATED_KEYS);
          ps.setString(1, message);
          return ps;
        }, keyHolder);

        return (long) keyHolder.getKey();
    }
}

It’s worth noting that the keyHolder object will contain the auto-generated key return from the JDBCTemplate update() method.

We can retrieve that key by calling keyHolder.getKey().

Besides, we can verify the method:

@Test
public void 
  insertJDBC_whenLoadMessageByKey_thenGetTheSameMessage() {
    long key = messageRepositoryJDBCTemplate.insert(MESSAGE_CONTENT);
    String loadedMessage = messageRepositoryJDBCTemplate
      .getMessageById(key);

    assertEquals(MESSAGE_CONTENT, loadedMessage);
}

3.3. Using SimpleJdbcInsert

In addition to the JDBCTemplate, we also can use SimpleJdbcInsert to achieve the same result.

Hence, we need to initialize an instance of the SimpleJdbcInsert:

@Repository
public class MessageRepositorySimpleJDBCInsert {

    SimpleJdbcInsert simpleJdbcInsert;

    @Autowired
    public MessageRepositorySimpleJDBCInsert(DataSource dataSource) {
        simpleJdbcInsert = new SimpleJdbcInsert(dataSource)
          .withTableName("sys_message").usingGeneratedKeyColumns("id");
    }
    
    //...
}

Consequently, we can call the executeAndReturnKey method of the SimpleJdbcInsert to insert a new record to sys_message table and get back the auto-generated key:

public long insert(String message) {
    Map<String, Object> parameters = new HashMap<>(1);
    parameters.put("message", message);
    Number newId = simpleJdbcInsert.executeAndReturnKey(parameters);
    return (long) newId;
}

Furthermore, we can verify that method quite simply:

@Test
public void 
  insertSimpleInsert_whenLoadMessageKey_thenGetTheSameMessage() {
    long key = messageRepositorySimpleJDBCInsert.insert(MESSAGE_CONTENT);
    String loadedMessage = messageRepositoryJDBCTemplate.getMessageById(key);

    assertEquals(MESSAGE_CONTENT, loadedMessage);
}

4. Conclusion

We’ve explored the possibility of using JDBCTemplate and SimpleJdbcInsert for inserting a new record and getting the auto-generated key back.

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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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:

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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:

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eBook – Persistence – NPI EA (cat=Persistence)
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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

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

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