core-cdc (CDC a.k.a Change Data Capture)
It provides the core mechanism and required resources to implement “Change Data Capture” services…
Installation
Install from PyPI using pip:
pip install core-cdc
uv pip install core-cdc # Or using UV...
Features
- Multi-Database CDC Support
MySQL Binary Log (BinLog) based change capture
MongoDB Change Streams for real-time event streaming
Extensible processor architecture for additional database engines
- Comprehensive Event Handling
DML operations: INSERT, UPDATE, DELETE
DDL operations: CREATE, ALTER, DROP (schemas and tables)
Configurable event filtering by operation type
- Flexible Target Replication
Implement your own target by subclassing ITarget
Send records to any destination: database, queue, data warehouse, etc.
Support for multiple simultaneous targets
- Standardized Data Format
Common Record structure for cross-service integration
Includes metadata: timestamps, transaction IDs, source position
JSON serialization support for streaming and messaging systems
- Production-Ready Features
Built-in error handling and retry mechanisms
Comprehensive logging for monitoring and debugging
Optional event timestamp column for UPSERT/MERGE operations
Quick Start
Installation
Install the package:
pip install core-cdc
uv pip install core-cdc # Or using UV...
pip install -e ".[dev]" # For development...
Setting Up Environment
Install required libraries:
pip install --upgrade pip
pip install virtualenv
Create Python virtual environment:
virtualenv --python=python3.12 .venv
Activate the virtual environment:
source .venv/bin/activate
Install packages
pip install .
pip install -e ".[dev]"
Optional libraries
pip install '.[all]' # MySQL + MongoDB
pip install '.[mysql]' # MySQL BinLog support
pip install '.[mongo]' # MongoDB Change Streams support
Check tests and coverage
python manager.py run-tests # unit tests
python manager.py run-tests --test-type integration
python manager.py run-coverage
Functional Tests
Functional tests require live database servers and are not discovered by pytest or tox automatically (files are named check_*.py to prevent accidental execution).
The helper script tests/functional/quick_test.sh checks connectivity, runs both MySQL and MongoDB test suites, and prints a metrics summary:
bash tests/functional/quick_test.sh
All connection parameters default to the Docker values below and can be overridden via environment variables (MYSQL_HOST, MYSQL_PASSWORD, MONGO_HOST, MONGO_DATABASE, etc.).
To run individual test files:
python manager.py run-tests --test-type functional --pattern "*.py"
Spinning Up Local Servers with Docker
MongoDB Replica Set (required for Change Streams):
docker network create mongoCluster
docker run -d --rm -p 27017:27017 --name mongo1 --network mongoCluster \
mongo:5 mongod --replSet myReplicaSet --bind_ip localhost,mongo1
docker run -d --rm -p 27018:27017 --name mongo2 --network mongoCluster \
mongo:5 mongod --replSet myReplicaSet --bind_ip localhost,mongo2
docker run -d --rm -p 27019:27017 --name mongo3 --network mongoCluster \
mongo:5 mongod --replSet myReplicaSet --bind_ip localhost,mongo3
docker exec -it mongo1 mongosh --eval "rs.initiate({
_id: \"myReplicaSet\",
members: [
{_id: 0, host: \"mongo1\"},
{_id: 1, host: \"mongo2\"},
{_id: 2, host: \"mongo3\"}
]
})"
Check cluster status:
docker ps
docker exec -it mongo1 mongosh --eval "rs.status()"
MySQL (BinLog replication enabled by default in the official image):
docker run \
--env=MYSQL_ROOT_PASSWORD=mysql_password \
--volume=/var/lib/mysql \
-p 3306:3306 \
--restart=no \
-d mysql:latest
Implemented CDC Engines
The following database engines have CDC implementations:
Fully Implemented
- MySQL - Binary Log (BinLog) based CDC
Uses mysql-replication library
Captures INSERT, UPDATE, DELETE operations
Supports DDL events (CREATE, ALTER, DROP)
Fallback mechanism for column name resolution
- MongoDB - Change Streams based CDC
Uses native MongoDB Change Streams
Captures INSERT, UPDATE, DELETE operations
Requires replica set configuration
Real-time event streaming
Planned / Documentation Only
MS SQL Server and Oracle implementations are not yet included. Reference guides and implementation templates are available in the documentation.
Contributing
Contributions are welcome! Please:
Fork the repository
Create a feature branch
Write tests for new functionality
Ensure all tests pass: python manager.py run-tests --test-type integration
Run linting: pylint core_cdc
Run security checks: bandit -r core_cdc
Submit a pull request
License
This project is licensed under the MIT License. See the LICENSE file for details.
Links
Support
For questions or support, please open an issue on GitLab or contact the maintainers.
Release files for core-cdc 3.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| core_cdc-3.1.1.tar.gz | 20.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| core_cdc-3.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 40.2 kB
Release files / core_cdc-3.1.1.tar.gz
| Download URL | core_cdc-3.1.1.tar.gz |
|---|---|
| Size | 20.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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Release files / core_cdc-3.1.1-py3-none-any.whl
| Download URL | core_cdc-3.1.1-py3-none-any.whl |
|---|---|
| Size | 20.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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