In our last article, we used Spring Cloud Config to provide database credentials to a microservice application connecting to a cloud-hosted Neo4j database. This post will backport this concept to our existing MongoDB database instance and its related microservices.
We will add our MongoDB credentials to the config server, so that it will be the central place for both our Neo4j and MongoDB database access. However, each service only has access to the credentials that it needs to operate, which provides some level of security through “separation of concerns” (versus universal access).
Since we already did this for our Neo4j microservice, there aren’t too many steps, and we can use the previous code as our template. Let’s get started!
This microservices project has grown from an introductory step with two Spring Boot applications to a managed, configuration-savvy system of services.
In today’s edition, we are converting our existing MongoDB-connected services to use Spring Cloud Config for accessing database credentials, matching the architecture we set up last time with a Neo4j microservice.
Though we set up Docker Compose to manage all services together a few project iterations ago, we will spend this post focusing on migrating all of our configuration before adding Docker Compose back into the mix later. This means we will run our applications locally today.
Spring Cloud Config
To recap Spring Cloud Config, it provides a way to externalize configuration, so that individual services can access only the properties each needs to operate. More info on the project is written on the project overview page.
Our Neo4j microservice (service4) is already set up to use Spring Cloud Config, so we can utilize this as a template for our MongoDB services (service1 for book data and service3 for author data). We also have an existing config-server service, which means we only need to add a separate YAML file to hold our MongoDB credentials separate from the Neo4j credential file. Let’s get started!
Applications – Spring Cloud Config Server
The config-server is the service that hosts external configuration files and serves them to requesting applications. Since we set this up last time, the only thing we need to add is another configuration file for this service to make available to our MongoDB services.
Storing config values
We used a YAML file for our Neo4j microservice, so we will stick with this same template. However, a properties file would work, as well.
A sample of the new MongoDB file is in the microservices-java-config folder of the Github project.
We need to fill in the values for our MongoDB instance in place of the dummy URL and database shown above. Then, we need to save the file and check it into git by running the next statements from the command line.
microservices-java-config % git init
microservices-java-config % git add
microservices-java-config % git commit -am “Create mongodb yaml”
Let’s test our config server application with the new configuration file!
Test Config Server
Start the config-server application from your IDE or command line. I usually like to test the existing functionality first to ensure we haven’t interfered with that before testing new functionality. We can test with the URL localhost:8888/neo4j-client/default to ensure our Neo4j configuration still displays.
To test for the newly-added MongoDB config, we need the same localhost:8888. Next, we need the client application name, which also needs to match the name of the configuration file itself. Since I named the file mongo-client.yaml, our application name is mongo-client. The last part of the URL is for the user profile, which is default because we did not specify otherwise.
That makes our full URL for testing localhost:8888/mongo-client/default!
Figure 1. MongoDB config results
Next, we need to plug our MongoDB backing services (service1 and service3) in to use the config server we just set up.
Service1 – modifications
Following what we did with our Neo4j app, we need to add a dependency for the Spring Cloud Config client. Open service1’s pom.xml file and add the following items:
//java version property
On the third line of the above code, we add a property for the Spring Cloud Version, which gives a single location for the pom to source this value. In the dependencies section, we need to add the config client dependency (seventh line). Lastly, we add a dependency management section (line twelve) to handle versioning of Spring Cloud.
Let’s move to the application properties in the src/main/resources folder.
The port property stays the same, but we remove the database credential properties because those are now hosted by the config server. The next two properties specify the application name and location of the config server. Our application name and the name of our config file MUST match, so the spring.application.name needs to be mongo-client (because config file name is mongo-client.yaml). Our config server is running locally and on the default config server port, so we use the localhost:8888 for the last property’s value.
This completes the changes needed to service1, so we need to do the same to service3 (our other MongoDB backing service for authors).
Service3 – modifications
Here is the list of changes we need to make with links to the code repository included:
pom.xml – Spring Cloud Config version property, dependency, and dependency management section
application.properties – Remove db credentials, add config server info
Let’s test the updated services with our config server!
Put it to the test
Kicking things off from the bottom to the top of our stack, let’s start the MongoDB instance. Note: I am running MongoDB locally from a Docker container here. More info is available in the docker-mongodb section of the code repository.
Next, we start our config-server application, either through the IDE or command line. Once running, we can start each of the service1 and service3 applications through the IDE or command line. Time to test everything with the following commands.
Test config server: open a browser and go to localhost:8888/mongo-client/default or go to command line with curl localhost:8888/mongo-client/default.
Test service1 is live: open a browser and go to localhost:8081/db or go to command line with curl localhost:8081/db.
Test backend books api: open a browser and go to localhost:8081/db/books or go to command line with curl localhost:8081/db/books.
Test service3 is live: open a browser and go to localhost:8082/db or go to command line with curl localhost:8082/db.
Test backend authors api: open a browser and go to localhost:8082/db/authors or go to command line with curl localhost:8082/db/authors.
And here is the resulting output from book and author api results!
Figure 2. Find books
Figure 3. Find authors
For today’s progress, we successfully migrated all of our database-interfacing services to use Spring Cloud Config to retrieve database credentials (MongoDB or Neo4j). Next, we will take another run at Docker Compose to add the Neo4j and config services, so that all services can be managed together.
In future posts, we hope to expand our microservices project to dig into service discovery and change data capture topics. Happy coding!
Github: microservices-level8 repository
Github: Meta repository for all related content
Documentation: Spring Cloud Config
Blog post: Baeldung’s guide to Spring Cloud Config
Video: JavaBrain’s walkthrough
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