This is a repository for my presentation @ Atoll, which covers some well-known NoSQL solutions like Redis, ElasticSearch and MongoDB.
To launch these demo projects you will need JDK, Apache Maven and Docker (or need to install the various NoSQL database management systems instead of running from a Docker container).
Clone this repository, go to each folder and do a mvn clean install. After that you will get a runnable JAR file in every project's target folder. You can run this with java -jar nameofthejar.jar, but it will throw an exception if you did not setup the database for that proper project.
Run Redis in Docker with the following command:
docker run -d -p 6379:6379 --name redis redis:alpine
After you start this two projects, the RedisPubSub project will listen on port 8080, RedisSub will listen on a random port (but it doesn't matter).
You can throw a new message to the queue with the following command. This message will be displayed in the application log of both projects.
curl http://localhost:8080/pub
You can subscribe in Redis too by connect to the container with docker exec -it redis sh , open redis-cli by redis-cli, and SUBSCRIBE pubsub:queue. After that when you throw a new message it will be displayed in the Redis console as well.
Run Redis in Docker with the following command (if you didn't start it yet):
docker run -d -p 6379:6379 --name redis redis:alpine
Run MongoDB in Docker with the following command:
docker run -d -p 27017:27017 --name mongo mongo
This project will listen on port 8080 and it focuses on basic MongoDB data modelling and Redis caching.
curl -H "Content-Type: application/json" -X POST -d '{"id":"id1","title":"title-1","author":"Author 1","description":"Description"}' http://localhost:8080/book
The previous command create a book entity in MongoDB. You can see it if you connect to container with docker exec -it mongo sh, open mongo console by type mongo, and get the document by type db.book.find().pretty() in the mongo console.
curl http://localhost:8080/book/title-1
This one will return the previously saved entity after 3 seconds delay at the first time. After that it will be cached in Redis and will be returned immediately. You can check the cached entry in redis-cli by KEYS *.
curl -H "Content-Type: application/json" -X PUT -d '{"id":"id1","title":"title-1-updated","author":"Author 1 Updated","description":"Description Updated"}' http://localhost:8080/book/title-1
This command update the saved entity in MongoDB and Redis too.
curl -X DELETE http://localhost:8080/book/title-1
This command delete the saved entity from MongoDB and Redis cache.
curl -X POST http://localhost:8080/user
This will create a dummy user with two dummy product which can be read by connecting to the container with docker exec -it mongo sh, open mongo console by type mongo, and get the documents by type db.user.find().pretty() and db.product.find().pretty() in the mongo console.
curl http://localhost:8080/user
This GET command will return a list of users with the referenced products as an embedded objects.