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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.

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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.

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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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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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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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Playwright is an easy-to-use, but powerful tool that automates end-to-end testing, and supports all modern browsers and platforms.

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1. Overview

In this tutorial, we’ll explore using H2 with Spring Boot. Just like other databases, there’s full intrinsic support for it in the Spring Boot ecosystem.

Further reading:

Spring Boot with Hibernate

A quick, practical intro to integrating Spring Boot and Hibernate/JPA.

List of In-Memory Databases

A quick review of how to configure some of the more popular in-memory databases for a Java application.

2. Dependencies

Let’s begin with the h2 and spring-boot-starter-data-jpa dependencies:

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

3. Database Configuration

By default, Spring Boot configures the application to connect to an in-memory store with the username sa and an empty password.

However, we can change those parameters by adding the following properties to the application.properties file:

spring.datasource.url=jdbc:h2:mem:testdb
spring.datasource.driverClassName=org.h2.Driver
spring.datasource.username=sa
spring.datasource.password=password
spring.jpa.database-platform=org.hibernate.dialect.H2Dialect

Alternatively, we can also use YAML for the database configuration of the application by adding the corresponding properties to the application.yaml file:

spring:
  datasource:
    url: jdbc:h2:mem:mydb
    username: sa
    password: password
    driverClassName: org.h2.Driver
  jpa:
    database-platform: org.hibernate.dialect.H2Dialect

By design, the in-memory database is volatile, and results in data loss after application restart.

We can change that behavior by using file-based storage. To do this we need to update the spring.datasource.url property:

spring.datasource.url=jdbc:h2:file:/data/demo

Similarly, In application.yaml, we can add the same property for file-based storage:

spring:
  datasource:
    url: jdbc:h2:file:/data/demo

The database can also operate in other modes.

4. Database Operations

Carrying out CRUD operations with H2 within Spring Boot is the same as with other SQL databases, and our tutorials in the Spring Persistence series do a good job of covering this.

4.1. DataSource Initialization

We can use basic SQL scripts to initialize the database. In order to demonstrate this, let’s add a data.sql file under src/main/resources directory:

INSERT INTO countries (id, name) VALUES (1, 'USA');
INSERT INTO countries (id, name) VALUES (2, 'France');
INSERT INTO countries (id, name) VALUES (3, 'Brazil');
INSERT INTO countries (id, name) VALUES (4, 'Italy');
INSERT INTO countries (id, name) VALUES (5, 'Canada');

Here, the script populates the countries table in our schema with some sample data.

Spring Boot will automatically pick up this file and run it against an embedded in-memory database, such as our configured H2 instance. This is a good way to seed the database for testing or initialization purposes.

We can disable this default behavior by setting the spring.sql.init.mode property to never. Additionally, multiple SQL files can also be configured to load the initial data.

Our article about loading initial data covers this topic in more detail.

4.2. Hibernate and data.sql

By default, the data.sql script executes before Hibernate initialization. This aligns the script-based initialization with other database migration tools such as Flyway and Liquibase. As we’re recreating the schema generated by Hibernate each time, we need to set an additional property:

spring.jpa.defer-datasource-initialization=true

This modifies the default Spring Boot behavior and populates the data after the schema is generated by Hibernate. Furthermore, we can also use a schema.sql script to build upon the Hibernate-generated schema prior to the population with data.sql. However, this mixing of different schema-generation mechanisms is not recommended.

5. Accessing the H2 Console

H2 database has an embedded GUI console for browsing the contents of a database and running SQL queries. By default, the H2 console is not enabled in Spring.

To enable it, we need to add the following property to application.properties:

spring.h2.console.enabled=true

If we’re using YAML configuration, we need to add the property to application.yaml:

spring:
  h2:
    console
      enabled: true

Then, after starting the application, we can navigate to http://localhost:8080/h2-console, which will present us with a login page.

On the login page, we’ll supply the same credentials that we used in the application.properties:

h2 console - login

Once we connect, we’ll see a comprehensive webpage that lists all the tables on the left side of the page and a textbox for running SQL queries:

h2 console - SQL Statement

The web console has an auto-complete feature that suggests SQL keywords. The fact that the console is lightweight makes it handy for visually inspecting the database or executing raw SQL directly.

Moreover, we can further configure the console by specifying the following properties in the project’s application.properties with our desired values:

spring.h2.console.path=/h2-console
spring.h2.console.settings.trace=false
spring.h2.console.settings.web-allow-others=false

Likewise, when using YAML configuration, we can add the above properties as:

spring:
  h2:
    console:
      path: /h2-console
      settings.trace: false
      settings.web-allow-others: false

In the snippets above, we set the console path to be /h2-console, which is relative to the address and port of our running application. Therefore, if our app is running at http://localhost:9001, the console will be available at http://localhost:9001/h2-console.

Furthermore, we set spring.h2.console.settings.trace to false to prevent trace output, and we can also disable remote access by setting spring.h2.console.settings.web-allow-others to false.

6. H2 Database URL Options

Let’s explore some URL options to customize the H2 database further:

  • DB_CLOSE_DELAY = -1: This option ensures the database remains open as long as the Java Virtual Machine (JVM) is running. It prevents it from closing automatically when the last connection is closed. By default, the database closes when the last connection is terminated. The default value is zero. However, it’s essential to shut down the database with a shutdown command to avoid potential memory leaks.
  • DB_CLOSE_ON_EXIT = FALSE: By default, H2 closes the database upon JVM shutdown. Setting this option to FALSE keeps the database open even after the JVM shuts down. This might be useful in a case where the database needs to remain open for post-shutdown processes, such as logging shutdown activities.
  • AUTO_RECONNECT=TRUE: This enables the database to reconnect when a connection is lost automatically. The default value is FALSE. Enabling this option might be helpful in an environment where network issues can cause disconnections.
  • MODE=PostgreSQL: This option sets the H2 database to emulate the behavior of a PostgreSQL database. It provides compatibility modes for different database systems, such as MySQL, ORACLE, etc.

Here’s an example H2 database URL that includes some of the options:

spring.datasource.url=jdbc:h2:mem:testdb;DB_CLOSE_DELAY=-1;DB_CLOSE_ON_EXIT=FALSE;AUTO_RECONNECT=TRUE;MODE=PostgreSQL;

This URL configures the H2 database to remain open as long as the JVM is running, stay open after JVM shutdown, automatically reconnect on connection loss, and operate in PostgreSQL compatibility mode.

7. Conclusion

The H2 database is fully compatible with Spring Boot. We’ve seen how to configure it and how to use the H2 console for managing our running database.

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:

>> 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 = 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 – Microsoft – NPI (cat=Spring)
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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.

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