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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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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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1. Overview

In this quick article, we’ll look at Spring’s AbstractRoutingDatasource to dynamically determine the actual DataSource based on the current context.

As a result, we’ll see that we can keep the DataSource lookup logic out of the data access code.

2. Maven Dependencies

Let’s start by declaring spring-context, spring-jdbc, spring-test, and h2 as dependencies in the pom.xml:

<dependencies>
    <dependency>
        <groupId>org.springframework</groupId>
        <artifactId>spring-context</artifactId>
        <version>6.1.1</version>
    </dependency>

    <dependency>
        <groupId>org.springframework</groupId>
        <artifactId>spring-jdbc</artifactId>
        <version>6.1.1</version>
    </dependency>

    <dependency> 
        <groupId>org.springframework</groupId> 
        <artifactId>spring-test</artifactId>
        <version>6.1.1</version>
        <scope>test</scope>
    </dependency>
    <dependency>
        <groupId>com.h2database</groupId>
        <artifactId>h2</artifactId>
        <version>2.1.214</version>
    </dependency>
</dependencies>

The latest version of the dependencies can be found here.

If you are using Spring Boot, we can use the starters for Spring Data and Test:

<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-data-jpa</artifactId>
    </dependency>
    <dependency> 
        <groupId>org.springframework.boot</groupId> 
        <artifactId>spring-boot-starter-test</artifactId>
        <scope>test</scope>
    </dependency>
    <dependency>
        <groupId>com.h2database</groupId>
        <artifactId>h2</artifactId>
        <version>2.1.214</version>
        <scope>test</scope>
    </dependency>
</dependencies>

3. Datasource Context

AbstractRoutingDatasource requires information to know which actual DataSource to route to. This information is typically referred to as Context.

While the Context used with AbstractRoutingDatasource can be any Object, an enum is used for defining them. In our example, we’ll use the notion of a ClientDatabase as our context with the following implementation:

public enum ClientDatabase {
    CLIENT_A, CLIENT_B
}

It’s worth noting that, in practice, the context can be whatever makes sense for the domain in question.

For example, another common use case involves using the notion of an Environment to define the context. In such a scenario, the context could be an enum containing PRODUCTION, DEVELOPMENT, and TESTING.

4. Context Holder

The context holder implementation is a container that stores the current context as a ThreadLocal reference.

In addition to holding the reference, it should contain static methods for setting, getting, and clearing it. AbstractRoutingDatasource will query the ContextHolder for the Context and then use the context to look up the actual DataSource.

It’s critically important to use ThreadLocal here so that the context is bound to the currently executing thread.

It’s essential to take this approach so that behaviour is reliable when data access logic spans multiple data sources and uses transactions:

public class ClientDatabaseContextHolder {

    private static ThreadLocal<ClientDatabase> CONTEXT
      = new ThreadLocal<>();

    public static void set(ClientDatabase clientDatabase) {
        Assert.notNull(clientDatabase, "clientDatabase cannot be null");
        CONTEXT.set(clientDatabase);
    }

    public static ClientDatabase getClientDatabase() {
        return CONTEXT.get();
    }

    public static void clear() {
        CONTEXT.remove();
    }
}

5. Datasource Router

We define our ClientDataSourceRouter to extend the Spring AbstractRoutingDataSource. We implement the necessary determineCurrentLookupKey method to query our ClientDatabaseContextHolder and return the appropriate key.

The AbstractRoutingDataSource implementation handles the rest of the work for us and transparently returns the appropriate DataSource:

public class ClientDataSourceRouter
  extends AbstractRoutingDataSource {

    @Override
    protected Object determineCurrentLookupKey() {
        return ClientDatabaseContextHolder.getClientDatabase();
    }
}

6. Configuration

We need a Map of contexts to DataSource objects to configure our AbstractRoutingDataSource. We can also specify a default DataSource if there is no context set.

The DataSources we use can come from anywhere but will typically be either created at runtime or looked up using JNDI:

@Configuration
public class RoutingTestConfiguration {

    @Bean
    public ClientService clientService() {
        return new ClientService(new ClientDao(clientDatasource()));
    }
 
    @Bean
    public DataSource clientDatasource() {
        Map<Object, Object> targetDataSources = new HashMap<>();
        DataSource clientADatasource = clientADatasource();
        DataSource clientBDatasource = clientBDatasource();
        targetDataSources.put(ClientDatabase.CLIENT_A, 
          clientADatasource);
        targetDataSources.put(ClientDatabase.CLIENT_B, 
          clientBDatasource);

        ClientDataSourceRouter clientRoutingDatasource 
          = new ClientDataSourceRouter();
        clientRoutingDatasource.setTargetDataSources(targetDataSources);
        clientRoutingDatasource.setDefaultTargetDataSource(clientADatasource);
        return clientRoutingDatasource;
    }

    // ...
}

When using Spring Boot, you can configure the DataSources in the application.properties file (i.e. ClientA ClientB):

#database details for CLIENT_A
client-a.datasource.name=CLIENT_A
client-a.datasource.script=SOME_SCRIPT.sql

#database details for CLIENT_B
client-b.datasource.name=CLIENT_B
client-b.datasource.script=SOME_SCRIPT.sql

You can then create POJOs that will hold  the properties for your DataSources:

@Component
@ConfigurationProperties(prefix = "client-a.datasource")
public class ClientADetails {

    private String name;
    private String script;

    // Getters & Setters
}

And use them to construct your data source beans:

@Autowired
private ClientADetails clientADetails;
@Autowired
private ClientBDetails clientBDetails;

private DataSource clientADatasource() {
EmbeddedDatabaseBuilder dbBuilder = new EmbeddedDatabaseBuilder();
    return dbBuilder.setType(EmbeddedDatabaseType.H2)
      .setName(clientADetails.getName())
      .addScript(clientADetails.getScript())
      .build();
}

private DataSource clientBDatasource() {
EmbeddedDatabaseBuilder dbBuilder = new EmbeddedDatabaseBuilder();
    return dbBuilder.setType(EmbeddedDatabaseType.H2)
      .setName(clientBDetails.getName())
      .addScript(clientBDetails.getScript())
      .build();
}

7. Usage

When using our AbstractRoutingDataSource, we first set the context and then perform our operation. We use a service layer that takes the context as a parameter and sets it before delegating it to data-access code and clearing the context after the call.

As an alternative to manually clearing the context within a service method, an AOP point cut can handle the clearing logic.

It’s important to remember that the context is thread bound, especially if data access logic will be spanning multiple data sources and transactions:

public class ClientService {

    private ClientDao clientDao;

    // standard constructors

    public String getClientName(ClientDatabase clientDb) {
        ClientDatabaseContextHolder.set(clientDb);
        String clientName = this.clientDao.getClientName();
        ClientDatabaseContextHolder.clear();
        return clientName;
    }
}

8. Conclusion

In this tutorial, we looked at the example of how to use the Spring AbstractRoutingDataSource. We implemented a solution using the notion of a Client – where each client has its DataSource.

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:

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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:

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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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Working on getting your persistence layer right with Spring?

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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:

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