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MySQL to Elasticsearch CDC Pipeline

A Change Data Capture (CDC) pipeline that synchronizes data from MySQL to Elasticsearch using Debezium and RabbitMQ.

Architecture

The system uses a microservices architecture with Docker-containerized components:

  • MySQL: Source database storing product data
  • Debezium: Captures database changes from MySQL binlog
  • RabbitMQ: Message broker for change events
  • Elasticsearch: Target database for storing synchronized data
  • Product Insertion Service: Adds sample products to MySQL
  • Elasticsearch Consumer: Processes messages and updates Elasticsearch

Prerequisites

  • Docker Engine
  • Docker Compose

Setup & Running

  1. Fork & Clone this repository
git clone <repository-url>
cd <project-directory>
  1. Start all services:
sudo docker-compose up -build
  1. Access Elasticsearch shell:
sudo docker exec -it elasticsearch bash
  1. Verify data synchronization:
curl -X GET "http://localhost:9200/products/_search?pretty&size=60"

Service Ports:

  1. MySQL on port 3307
  2. RabbitMQ on ports 5672 (AMQP) and 15672 (Management UI)
  3. Elasticsearch on port 9200
  4. Debezium Server on port 8080

Data Flow

  1. The Product Insertion service adds sample products to MySQL every 2 seconds
  2. Debezium captures changes from MySQL's binlog
  3. Change events are published to RabbitMQ exchange
  4. Elasticsearch Consumer processes the messages and updates Elasticsearch accordingly