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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.

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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.

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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.

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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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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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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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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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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

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Automated Accessibility Testing With Selenium

1. Overview

Our applications running in production usually support sequence-based primary key generation for efficiency and scalability. However, during development or testing, we often switch to in-memory databases like H2.

In this tutorial, we’ll explore how we use sequence numbers in H2.

2. A Word on Sequence-Based ID Generation

Database sequences provide database-side control of ID generation, offering better performance than IDENTITY under high concurrency.

Many popular databases support sequences, including PostgreSQL, Oracle, SQL Server, and others.

In this tutorial, we focus on using sequences in the H2 database. We’ll first learn how to create a sequence, get the next value, and drop a sequence via native SQL statements. Then, we’ll show an example of using H2 sequences as auto-generated @Id in Spring Boot and JPA.

Since we often need to use H2 to simulate the production database in testing, we’ll take Oracle as an example to show how to make H2 compatible with Oracle’s sequence query statements.

For simplicity, we’ll leverage Spring Boot tests to verify the results.

Next, let’s dive in.

3. Using H2’s Sequences

In this section, we’ll demonstrate how to work with H2 sequences through Spring Boot tests.

3.1. Configuration

Let’s first create an embedded in-memory H2 database in the Spring Boot configuration file application-h2-seq.yml:

spring:
  datasource:
    driverClassName: org.h2.Driver
    url: jdbc:h2:mem:seqdb
    username: sa
    password:
  jpa:
    hibernate:
      ddl-auto: none

To load the file application-seq-h2.yml, our test should activate the h2-seq profile:

@ExtendWith(SpringExtension.class)
@ActiveProfiles("h2-seq")
@Transactional
public class H2SeqDemoIntegrationTest {
}

Next, let’s create and use some sequences.

3.2. Creating, Querying, and Dropping an H2 Sequence

Let’s first look at a test method that covers creating a sequence, obtaining its “next values”, and dropping the sequence using native SQL statements. Then, we’ll summarize these usages:

private final String sqlNextValueFor = "SELECT NEXT VALUE FOR my_seq";
private final String sqlNextValueFunction = "SELECT nextval('my_seq')";

@Test
void whenCreateH2SequenceWithDefaultOptions_thenGetExpectedNextValueFromSequence() {
    entityManager.createNativeQuery("CREATE SEQUENCE my_seq").executeUpdate();

    Long nextValue = (Long) entityManager.createNativeQuery(sqlNextValueFunction).getSingleResult();
    assertEquals(1, nextValue);

    nextValue = (Long) entityManager.createNativeQuery(sqlNextValueFor).getSingleResult();
    assertEquals(2, nextValue);

    nextValue = (Long) entityManager.createNativeQuery(sqlNextValueFunction).getSingleResult();
    assertEquals(3, nextValue);

    entityManager.createNativeQuery("DROP SEQUENCE my_seq").executeUpdate();
}

As the example shows, we can use the following SQL statements to create, obtain values, and drop a sequence in the H2 database:

  • Create – CREATE SEQUENCE <name>
  • Obtain the next value – “SELECT NEXT VALUE FOR <name>” or using the nextval() function: “SELECT nextval(<name>)
  • Drop – DROP SEQUENCE <name>

It’s worth noting that the above CREATE statement will create a sequence with the initial value one and increment by one, which are the default options. However, sometimes, we want to create a sequence with a different start value and a custom increment.

Next, let’s see how to achieve that.

3.3. Customizing the Start and Increment Values

We can use START WITH and INCREMENT BY in the create statement to set a desired initial and increment value:

@Test
void whenCustomizeH2Sequence_thenGetExpectedNextValueFromSequence() {
    entityManager.createNativeQuery("CREATE SEQUENCE my_seq START WITH 1000 INCREMENT BY 10")
      .executeUpdate();

    Long nextValue = (Long) entityManager.createNativeQuery(sqlNextValueFor).getSingleResult();
    assertEquals(1000, nextValue);

    nextValue = (Long) entityManager.createNativeQuery(sqlNextValueFunction).getSingleResult();
    assertEquals(1010, nextValue);

    nextValue = (Long) entityManager.createNativeQuery(sqlNextValueFor).getSingleResult();
    assertEquals(1020, nextValue);

    entityManager.createNativeQuery("DROP SEQUENCE my_seq").executeUpdate();
}

In this example, we created the my_seq sequence, which starts at 1000 and increments by 10.

3.4. Using Sequences in a JPA Entity

Next, let’s use an H2 sequence to generate a JPA entity’s primary key:

@Entity
@Table(name = "book")
class Book {
    @Id
    @GeneratedValue(strategy = GenerationType.SEQUENCE, generator = "book_seq_gen")
    @SequenceGenerator(name = "book_seq_gen", sequenceName = "book_seq", allocationSize = 1)
    private Long id;
    private String title;

    public Book() {
    }

    public Book(String title) {
        this.title = title;
    }

    // ... getters and setters are omitted
}

In the Book entity:

  • @GeneratedValue with GenerationType.SEQUENCE tells JPA to use a sequence
  • @SequenceGenerator maps our entity to a named database sequence
  • allocationSize = 1 ensures IDs are sequential instead of batched

Next, let’s create a test to verify the sequence behavior:

@Test
void whenSaveEntityUsingSequence_thenCorrect() {
    entityManager.createNativeQuery("CREATE SEQUENCE book_seq").executeUpdate();
    Book book1 = new Book("book1");
    assertNull(book1.getId());
    entityManager.persist(book1);
    assertEquals(1, book1.getId());

    Book book2 = new Book("book2");
    entityManager.persist(book2);
    assertEquals(2, book2.getId());
}

As the test shows, the sequence ID generator works as expected.

In the test, we manually created the book_seq sequence since we have “jpa.hibernate.ddl-auto=none.” If we had ddl-auto=create-drop or create, JPA would automatically create the sequence for us.

4. Making H2 Sequence Work with Oracle-Specific SQL Statement

We often use an in-memory H2 database in tests in practice to simulate the database used in production. However, by default, H2 uses its own dialect and SQL behavior, which might differ from our target production database.

For instance, we can get the next value from an Oracle sequence using SELECT <seq_name>.nextval FROM dual. But H2’s dialect doesn’t support the dual table, so the statement with dual won’t work with H2 by default.

To solve this issue, we can specify the MODE=… option in the JDBC URL to set SQL compatibility mode. This option tells H2 to behave like another database.

For example, we can add MODE=Oracle in the H2 database’s JDBC URL (application-h2-seq-oracle.yml):

spring:
  datasource:
    driverClassName: org.h2.Driver
    url: jdbc:h2:mem:seqdb;MODE=Oracle
    username: sa
    password:

Then, the Oracle sequence query will work as expected:

@ExtendWith(SpringExtension.class)
@ActiveProfiles("h2-seq-oracle")
@Transactional
public class H2SeqAsOracleDemoIntegrationTest {
    @Autowired
    private EntityManager entityManager;

    @Test
    void whenCreateH2SequenceWithDefaultOptions_thenGetExpectedNextValueFromSequence() {
        entityManager.createNativeQuery("CREATE SEQUENCE my_seq").executeUpdate();

        String sqlNextValueFor = "SELECT NEXT VALUE FOR my_seq";
        BigDecimal nextValueH2 = (BigDecimal) entityManager
          .createNativeQuery(sqlNextValueFor).getSingleResult();
        assertEquals(0, BigDecimal.ONE.compareTo(nextValueH2));

        String sqlNextValueOralceStyle = "SELECT my_seq.nextval FROM dual";
        BigDecimal nextValueOracle = (BigDecimal) entityManager.createNativeQuery(sqlNextValueOralceStyle)
          .getSingleResult();
        assertEquals(0, BigDecimal.TWO.compareTo(nextValueOracle));

        String sqlNextValueFunction = "SELECT nextval('my_seq')";
        nextValueOracle = (BigDecimal) entityManager.createNativeQuery(sqlNextValueFunction).getSingleResult();
        assertEquals(0, BigDecimal.valueOf(3).compareTo(nextValueOracle));

        entityManager.createNativeQuery("DROP SEQUENCE my_seq").executeUpdate();
    }
}

As we can see, with MODE=Oracle, both Oracle query and the standard H2 queries work and give the correct result.

It’s also important to note that with MODE=Oracle, the sequence value is mapped to BigDecimal instead of Long.

5. Conclusion

In this article, we’ve explored how to use sequence numbers in the H2 database and learned that setting H2’s compatibility mode can make tests more realistic and less likely to break in production.

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:

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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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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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