iamwpj/kafka-types

Standardization and serialization processing within a Kafka pipeline.

Research on Types for Kafka Ingestion

This is to test an implementation of data processing within a Kafka pipeline. The Docker set up will spin up a cluster and all the monitoring components. The Python scripts will help to create the connections, maintain topics, and manage the data processing.

• injection.py -- this is the "main" tool. It will set up a listener for incoming messages in the configured topic in config.py.
• To generate events you can use flog to emit logs and pipe them to scream.py which will output them to the correct topic configured in config.py. E.g., flog -f rfc3164 -l | python scream.py
• To test consuming you can run output.py

Kafka Configuration

I used this Github as a jumping off point: https://github.com/papirosko/kafka-demo

You can see all the configuraiton settings here: docker-compose.yml.

Fake Logs

I'm usng flog to generate logs. I'm including networking in the process for the testing (since this project isn't about throughput performance beyond "whatever is reasonable").

Does this work?

Yep! It's slow, running at around 20%-25% of realtime. See stats.ipynb for some details.

Why?

See details in docs.