Spring Cloud Stream Sink Sample
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## What is this app?
This is a Spring Boot application that is a Spring Cloud Stream sample sink app that inserts data into a database through JDBC.
This application specifically uses MySQL (MariaDB flavor) to insert the data.
In reality, you probably want to use the out of the box variant of JDBC sink from https://github.com/spring-cloud-stream-app-starters/jdbc which is more advanced.
Refer to the documentation of Spring Cloud Stream app starters for the latest links for generated apps for specific binders.
## What is the default binder used in this app?
The default binder used in this app is Kafka.
If you need to change it to Rabbitmq, change the appropriate dependency in the maven pom.xml
## Requirements
To run this sample, you will need to have installed:
* Java 8 or Above
## Running the application with Kafka binder
The following instructions assume that you are running Kafka and MySql as Docker images.
* Go to the application root
* `docker-compose up -d`
* Open another terminal
* Ensure that you have the `mysql` CLI tool installed and then use this command:
`mysql -u root -p -h 127.0.0.1 -P 3306 sample_mysql_db`
`sample_mysql_db` is the name of the database created by the mysql that is running in the docker container.
* Go back to the other terminal (root of this sample app `sink`)
* `./mvnw clean package`
When you start the app, it will create a table in the database.
See the method annotated with`PostConstruct` in the application for more details.
* `java -jar target/sample-jdbc-sink-0.0.1-SNAPSHOT.jar`
The application has a convenient test source that sends to the same destination on the broker where the sink consumes data from.
This test source will send some test records every second.
Alternatively, you can connect to the topic using a Kafka console producer and send data in the format - `{"id":1,"name":"Bob","tag":"1}`.
If you go with this kafka console producer approach, make sure you comment out the test source in the sample and rebuild.
* Now go to your MySQL CLI:
`select * from test;`
Repeat the query a few times and you will see additional records each time.
## Running the application using Rabbit binder
All the instructions above apply here also, but instead of running the default `docker-compose.yml`, use the command below to start a Rabbitmq cluser.
* `docker-compose -f docker-compose-rabbit.yml up -d`
* `./mvnw clean package -P rabbit-binder`
* `java -jar target/sample-jdbc-sink-0.0.1-SNAPSHOT.jar`
Once you are done testing: `docker-compose -f docker-compose-rabbit.yml down`
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