This project shows how you can modernize a legacy application that use RDBMS with Redis.
- Caching: Call Web Service and cache the result in Redis
- CDC to RediStreams: Capture MySQL transactionsd and send them to Redis Streams
- Use RediSearch to index relational data and provides autocomplete feature
- Store and Index data in Redis: copy the events from Streams and put them in a Redis Hash (Movie/Actors), this could be used as a cache or maine datastore
- See how to run queries on Redis hashes using RediSearch commands (filter, sort, aggregate, and tull text search)
- Extend MySQL Legacy model with movie comments store in Hash and queried using RediSearch commands
- Push relationnoal data into RedisGraph
- a Web frontend developped with Vue.js
If you want to use the Web Service cache demo that call the OMDB API you must:
-
Generate a key here: http://www.omdbapi.com/ *do not forge to activate it, you will receive an email)
-
When the applications is ready go to the "Services" page and enter the key in the configuration screen, this will save the key in a Redis Hash (lool at
ms:config
during the demo)
$ mvn clean package
$ docker-compose up --build
Cleanup
$ docker-compose down -v --rmi local --remove-orphans
You can also deploy the application to Kubernetes, see Kubernetes Readme