README.md

Enriching Kafka Stream with Another Stream Using Flink

Environment Setup

1. Install PostgreSQL 11+
2. Setup PostgreSQL to allow Debezium to CDC using pgoutput. Reference here
3. Setup Apache Kafka (with Kafka Connect) on your machine/cluster
4. Install Debezium PostgreSQL connector from here
5. Run Apache Kafka & Kafka Connect
6. Create table transactions and customers in PostgreSQL (SQL file in here)
7. Create POST request to your Kafka Connect REST interface with request body as below

{
  "name": "postgres_cdc",
  "config": {
    "connector.class": "io.debezium.connector.postgresql.PostgresConnector",
    "database.hostname": "<host>",
    "database.port": "<port>",
    "database.user": "<username>",
    "database.password": "****",
    "database.dbname" : "<dbname>",
    "database.server.name": "<servername>",
    "table.whitelist": "<schema>.customers,<schema>.transactions",
    "plugin.name": "pgoutput"
  }
}

8. Run the jar

Streaming Job Available Parameters

1. --checkpoint-path: path to save Flink's checkpoints.
2. --debug-result-stream: whether to debug result stream to the console or not
3. --environment: environment to run the app
4. --auto-offset-reset: Kafka auto.offset.reset parameter
5. --boostrap-server: Kafka bootstrap servers
6. --consumer-group-id: Kafka consumer group ID
7. --offset-strategy: whether to get earliest or latest offset from Kafka
8. --source-topic-1: Kafka transactions stream name
9. --source-topic-2: Kafka customers stream name
10. --target-topic: target topic name to publish enriched data
11. --properties-file: properties file to load parameters from

License