This is my attempt to use GPT-4 to generate a basic producer-consumer app that is using docker-compose.
+-------------+ +-------------+ +------------+ +-------------+
| | | | | | | |
| MySQL DB +----->+ Producer +----->+ Kafka +----->+ Consumer |
| | | (Python) | | Broker | | (Python) |
+------+------+ +------+------+ +------+-----+ +------^------+
| | | |
| | | |
+------+------+ +------+------+ +------+-----+ +------v------+
| | | | | | | |
| Database | | Dockerized | | Dockerized | | Dockerized |
| (Docker) | | Producer | | Kafka | | Consumer |
| | | (Docker) | | (Docker) | | (Docker) |
+-------------+ +-------------+ +------------+ +-------------+
In this architecture, the following components are involved:
MySQL Database: The MySQL database stores the my_table with the rows to be processed. The database runs inside a Docker container.
Producer (Python): The producer Python script reads unprocessed rows from the MySQL database, and sends them as messages to the Kafka topic my_tasks_topic. The producer runs inside a Docker container.
Kafka Broker: The Kafka broker receives messages from the producer and stores them in the my_tasks_topic topic. The broker runs inside a Docker container.
Consumer (Python): The consumer Python script subscribes to the Kafka topic my_tasks_topic and processes messages sent by the producer. The consumer runs inside a Docker container.
You would need docker to run this:
docker-compose up