* chore: Use dapr release 1.16-rc.3 Signed-off-by: Javier Aliaga <javier@diagrid.io> * feat: Move field to top level request Signed-off-by: Javier Aliaga <javier@diagrid.io> * chore: Update mechanical markdown workflow timeouts Signed-off-by: Javier Aliaga <javier@diagrid.io> * chore: Run MM workflows tests in parallel Signed-off-by: Javier Aliaga <javier@diagrid.io> * fix: Fix tracing examples Signed-off-by: Javier Aliaga <javier@diagrid.io> * ci: Do not run tests during example validations We have specifics jobs that runs tests. Do not run them as part as validations Signed-off-by: Javier Aliaga <javier@diagrid.io> * ci: Improve validate job No need to run separate jobs for clean, compile and install Signed-off-by: Javier Aliaga <javier@diagrid.io> * ci: Run workflows examples sequentially Signed-off-by: Javier Aliaga <javier@diagrid.io> * ci: Add timeout to strem pubsub Signed-off-by: Javier Aliaga <javier@diagrid.io> * ci: Fix order of examples Signed-off-by: Javier Aliaga <javier@diagrid.io> * ci: Fix validation tests for sb workflows Signed-off-by: Javier Aliaga <javier@diagrid.io> * nit: Add copyright header Signed-off-by: Javier Aliaga <javier@diagrid.io> --------- Signed-off-by: Javier Aliaga <javier@diagrid.io> |
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| kubernetes | ||
| producer-app | ||
| workflows | ||
| README.md | ||
| pom.xml | ||
| spotbugs-exclude.xml | ||
README.md
Dapr Spring Boot and Testcontainers integration Example
This example consists of two applications:
- Producer App:
- Publish messages using a Spring Messaging approach
- Store and retrieve information using Spring Data CrudRepository
- Implements a Workflow with Dapr Workflows
- Consumer App:
- Subscribe to messages
Running these examples from source code
To run these examples you will need:
- Java SDK
- Maven
- Docker or a container runtime such as Podman
From the spring-boot-examples/ directory you can start each service using the test configuration that uses
Testcontainers to boostrap Dapr by running the following command:
cd producer-app/
../../mvnw -Dspring-boot.run.arguments="--reuse=true" spring-boot:test-run
This will start the producer-app with Dapr services and the infrastructure needed by the application to run,
in this case RabbitMQ and PostgreSQL. The producer-app starts on port 8080 by default.
The -Dspring-boot.run.arguments="--reuse=true" flag helps the application to connect to an existing shared
infrastructure if it already exists. For development purposes, and to connect both applications we will set the flag
in both. For more details check the DaprTestContainersConfig.java classes in both, the producer-app and the consumer-app.
Then run in a different terminal:
cd consumer-app/
../../mvnw -Dspring-boot.run.arguments="--reuse=true" spring-boot:test-run
The consumer-app starts in port 8081 by default.
Interacting with the applications
Now that both applications are up you can place an order by sending a POST request to :8080/orders/
You can use curl to send a POST request to the producer-app:
curl -X POST localhost:8080/orders -H 'Content-Type: application/json' -d '{ "item": "the mars volta EP", "amount": 1 }'
If you check the producer-app logs you should see the following lines:
...
Storing Order: Order{id='null', item='the mars volta EP', amount=1}
Publishing Order Event: Order{id='d4f8ea15-b774-441e-bcd2-7a4208a80bec', item='the mars volta EP', amount=1}
If you check the consumer-app logs you should see the following lines, showing that the message
published by the producer-app was correctly consumed by the consumer-app:
Order Event Received: Order{id='d4f8ea15-b774-441e-bcd2-7a4208a80bec', item='the mars volta EP', amount=1}
Next, you can create a new customer to trigger the customer's tracking workflow:
curl -X POST localhost:8080/customers -H 'Content-Type: application/json' -d '{ "customerName": "salaboy" }'
A new Workflow Instance was created to track the customers interactions. Now, the workflow instance is waiting for the customer to request a follow-up.
You should see in the producer-app logs:
Workflow instance <Workflow Instance Id> started
Let's register the customer: salaboy
Customer: salaboy registered.
Let's wait for the customer: salaboy to request a follow up.
Send an event simulating the customer request for a follow-up:
curl -X POST localhost:8080/customers/followup -H 'Content-Type: application/json' -d '{ "customerName": "salaboy" }'
In the producer-app logs you should see that the workflow instance id moved forward to the Customer Follow Up activity:
Customer follow-up requested: salaboy
Let's book a follow up for the customer: salaboy
Customer: salaboy follow-up done.
Congratulations the customer: salaboy is happy!
Running on Kubernetes
You can run the same example on a Kubernetes cluster. Check the Kubernetes tutorial here.