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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.

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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.

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eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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eBook – Mockito – NPI EA (tag = Mockito)
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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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eBook – Reactive – NPI EA (cat=Reactive)
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eBook – Java Streams – NPI EA (cat=Java Streams)
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eBook – Jackson – NPI EA (cat=Jackson)
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eBook – Persistence – NPI EA (cat=Persistence)
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Course – LSD – NPI EA (tag=Spring Data JPA)
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Partner – Moderne – NPI EA (cat=Spring Boot)
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1. Overview

In this quick tutorial, we’ll demonstrate how to access the same in-memory H2 database from multiple Spring Boot applications.

To do this, we’ll create two distinct Spring Boot applications. The first Spring Boot application will start an in-memory H2 instance, whereas the second one will access an embedded H2 instance of the first application over TCP.

2. Background

As we know, an in-memory database is faster and often used in an embedded mode within an application. However, the in-memory database doesn’t persist data across server restarts.

For additional background, please check our articles on the most commonly used in-memory databases and the usage of an in-memory database in automated testing.

3. The Maven Dependencies

The two Spring Boot applications in this article require the same dependencies:

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

4. Setting Up the H2 Datasource

Firstly, let’s define the most important component — a Spring bean for an in-memory H2 database — and expose it via a TCP port:

@Bean(initMethod = "start", destroyMethod = "stop")
public Server inMemoryH2DatabaseaServer() throws SQLException {
    return Server.createTcpServer(
      "-tcp", "-tcpAllowOthers", "-tcpPort", "9090");
}

The methods defined by the initMethod and destroyMethod parameters are called by Spring to start and stop H2 database.

The -tcp parameter instructs H2 to use a TCP server to launch H2. We specify the TCP port to be used in the third and fourth parameters of the createTcpServer method.

The parameter tcpAllowOthers opens up H2 for access from external applications running on the same host or remote hosts.

Next, let’s override the default data source created by Spring Boot’s auto-configuration feature by adding a few properties to the application.properties file:

spring.datasource.url=jdbc:h2:mem:mydb
spring.datasource.driverClassName=org.h2.Driver
spring.datasource.username=sa
spring.datasource.password=
spring.jpa.hibernate.ddl-auto=create

It’s important to override these properties because we’ll need to use the same properties and values in the other applications that want to share the same H2 database.

5. Bootstrapping the First Spring Boot Application

Next, to bootstrap our Spring Boot application, we’ll create a class with the @SpringBootApplication annotation:

@SpringBootApplication
public class SpringBootApp {
    public static void main(String[] args) {
        SpringApplication.run(SpringBootApp.class, args);
    }
}

To test that everything is wired properly, let’s add code to create some test data.

We’ll define a method named initDb and annotate it with @PostConstruct so that the Spring container automatically calls this method as soon as the main class is initialized:

@PostConstruct
private void initDb() {
    String sqlStatements[] = {
      "drop table employees if exists",
      "create table employees(id serial,first_name varchar(255),last_name varchar(255))",
      "insert into employees(first_name, last_name) values('Eugen','Paraschiv')",
      "insert into employees(first_name, last_name) values('Scott','Tiger')"
    };

    Arrays.asList(sqlStatements).forEach(sql -> {
        jdbcTemplate.execute(sql);
    });

    // Query test data and print results
}

6. The Second Spring Boot Application

Now let’s look at the components of the client application, which requires the same Maven dependencies as defined above.

First, we’ll override the data source properties. We need to ensure that the port number in the JDBC URL is the same as the one on which H2 is listening for incoming connections in the first application.

Here’s the application.properties file of the client application:

spring.datasource.url=jdbc:h2:tcp://localhost:9090/mem:mydb
spring.datasource.driverClassName=org.h2.Driver
spring.datasource.username=sa
spring.datasource.password=
spring.jpa.hibernate.ddl-auto=create

Lastly, we create a main class of the client Spring Boot application.

Again for simplicity, we define a @SpringBootApplication containing an initDb method with the @PostConstruct annotation:

@SpringBootApplication
public class ClientSpringBootApp {
    public static void main(String[] args) {
        SpringApplication.run(ClientSpringBootApp.class, args);
    }
    
    @PostConstruct
    private void initDb() {
        String sqlStatements[] = {
          "insert into employees(first_name, last_name) values('Donald','Trump')",
          "insert into employees(first_name, last_name) values('Barack','Obama')"
        };

        Arrays.asList(sqlStatements).forEach(sql -> {
            jdbcTemplate.execute(sql);
        });

        // Fetch data using SELECT statement and print results
    } 
}

7. Sample Output

Now, when we run both the applications one by one, we can check the console logs and confirm that the second application prints the data as expected.

Here are the console logs of the first Spring Boot application:

****** Creating table: Employees, and Inserting test data ******
drop table employees if exists
create table employees(id serial,first_name varchar(255),last_name varchar(255))
insert into employees(first_name, last_name) values('Eugen','Paraschiv')
insert into employees(first_name, last_name) values('Scott','Tiger')
****** Fetching from table: Employees ******
id:1,first_name:Eugen,last_name:Paraschiv
id:2,first_name:Scott,last_name:Tiger

And here are the console logs of the second Spring Boot application:

****** Inserting more test data in the table: Employees ******
insert into employees(first_name, last_name) values('Donald','Trump')
insert into employees(first_name, last_name) values('Barack','Obama')
****** Fetching from table: Employees ******
id:1,first_name:Eugen,last_name:Paraschiv
id:2,first_name:Scott,last_name:Tiger
id:3,first_name:Donald,last_name:Trump
id:4,first_name:Barack,last_name:Obama

8. Conclusion

In this quick article, we saw how we can access the same in-memory H2 database instance from multiple Spring Boot applications.

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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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.

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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Course – LS – NPI EA (cat=REST)

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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.

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