DataFibers Data Services

DataFibers (DF) - A pure streaming processing application on Kafka and Flink. The DF processor has two components defined to deal with stream ETL (Extract, Transform, and Load).

• Connects is to leverage Kafka Connect REST API on Confluent to landing or publishing data in or out of Apache Kafka.
• Transforms is to leverage streaming processing engine, such as Apache Flink, for data transformation.

Building

You build the project using:

mvn clean package

Testing

The application is tested using vertx-unit.

Packaging

The application is packaged as a fat jar, using the Maven Shade Plugin.

Running

Once packaged, just launch the fat jar as follows ways

• Default with no parameters to launch standalone mode with web ui.

  java -jar df-data-service-<version>-SNAPSHOT-fat.jar

• For more running features checking help option

  java -jar df-data-service-<version>-SNAPSHOT-fat.jar -h

Web UI

http://localhost:8000/ or http://localhost:8000/dfa/

Manual

https://datafibers-community.gitbooks.io/datafibers-complete-guide/content/

Demo

Todo

• [x] Fetch all installed connectors/plugins in regularly frequency
• [x] Need to report connector or job status
• [x] Need an initial method to import all available|paused|running connectors from kafka connect
• [x] Add Flink Table API engine
• [ ] Add memory LKP
• [x] Add Connects, Transforms Logging URL
• [ ] Add to generic function to do connector validation before creation
• [x] Add submit other job actions, such as start, hold, etc
• [ ] Add Spark Structure Streaming
• [X] Topic visualization
• [ ] Launch 3rd party jar
• [ ] Job level control, schedule, and metrics