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core-cdc (CDC a.k.a Change Data Capture)

It provides the core mechanism and required resources to implement “Change Data Capture” services…


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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

  • PostgreSQL logical replication (pgoutput) through psycopg2

  • Extensible processor architecture for additional database engines

Comprehensive Event Handling
  • DML operations: INSERT, UPDATE, DELETE

  • DDL operations: CREATE, ALTER, DROP (schemas and tables), delivered to the targets as engine independent DdlEvent objects

  • 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 (data) and DdlEvent (schema changes) structures for cross-service integration

  • Includes metadata: timestamps, transaction IDs, source position

  • JSON serialization support for streaming and messaging systems

Production-Ready Features
  • Error handling: a failing event or target is logged without stopping the stream

  • 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

  1. Install required libraries:

pip install --upgrade pip
pip install virtualenv
  1. Create Python virtual environment:

virtualenv --python=python3.12 .venv
  1. Activate the virtual environment:

source .venv/bin/activate

Install packages

pip install .
pip install -e ".[dev]"

Optional libraries

pip install '.[all]'    # MySQL + MongoDB + PostgreSQL
pip install '.[mysql]'  # MySQL BinLog support
pip install '.[mongo]'  # MongoDB Change Streams support
pip install '.[postgres]'  # PostgreSQL logical replication 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

The documentation is built with Sphinx, the docs extra has what it needs:

pip install -e ".[all,docs]"
cd docs && make clean && make html

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 (the PostgreSQL test is a separate file, see “Spinning Up Local Servers with Docker” below). They also check DDL events, transaction control queries, the JSON serialization of every type of column, the MongoDB invalidate events, the resume token and transactions (the tests of the column types change binlog_row_metadata in the server and restore it):

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.; the PostgreSQL test reads HOST_TEST_POSTGRES, PORT_TEST_POSTGRES, DATABASE_TEST_POSTGRES, USER_TEST_POSTGRES and PASSWORD_TEST_POSTGRES).

To run individual test files:

python manager.py run-tests --test-type functional --pattern "*.py"

Spinning Up Local Servers with Docker

The functional tests connect to these defaults. To use another port, map it in docker run and set the variable of the last column.

Engine

Container

Port

Test

Variable of the port

MongoDB

mongo1 to mongo3

27017

quick_test.sh

PORT_TEST_MONGO

MySQL

(no name)

3306

quick_test.sh

PORT_TEST_MYSQL

PostgreSQL

pg

5432

check_postgres_wal.py

PORT_TEST_POSTGRES

MongoDB Replica Set

Required for Change Streams (three nodes, then rs.initiate):

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 is 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

PostgreSQL

Logical replication, for PostgresWalProcessor. It is one container, and the server has to be started with wal_level=logical:

docker run -d --rm --name pg -p 5432:5432 \
    -e POSTGRES_PASSWORD=postgres_password \
    postgres:16 -c wal_level=logical

# It must print "logical":
docker exec pg psql -U postgres -tAc "show wal_level"
  • -c wal_level=logical is what enables logical replication. With the default (replica) the server refuses to create the slot: logical decoding requires wal_level >= logical.

  • The postgres user is a superuser, so it has the REPLICATION attribute and nothing else has to be created.

  • The image tag is the version of PostgreSQL: 14, 15, 16, 17 and 18 were tested (for example postgres:18).

  • If 5432 is taken (a local PostgreSQL, for example) map another host port, -p 5433:5432, and run the test with PORT_TEST_POSTGRES=5433.

Run the functional test. It creates (and drops) its own table, publication and slot, it needs the driver, and it is not part of quick_test.sh:

pip install -e ".[postgres]"
python -m pytest -s tests/functional/check_postgres_wal.py

Stopping the containers

The MongoDB and PostgreSQL containers were started with --rm, stopping them removes them:

docker stop mongo1 mongo2 mongo3 pg

The MySQL container has no name: use docker ps to find it and docker stop <id>.

Tested Versions

These are the versions the library was verified with. Live means the functional tests (tests/functional) ran against real servers; the unit and integration tests use mocks and do not need any server.

Component

Versions

How it was tested

MySQL

9.7.2, 8.4.11, 8.0.46, 5.7.44

Live (official Docker images, ROW format). GTIDs on and off (9.7, 8.4). binlog_row_metadata FULL and MINIMAL (9.7, 8.4, 8.0).

MongoDB

6.0.28, 5.0.31

Live (replica set, official mongo:6 and mongo:5 images): change streams, DDL, invalidate, resume tokens and transactions. In 6.0 also the expanded events (create, createIndexes, dropIndexes, modify) and wallTime.

PostgreSQL

18.6, 17.11, 16.13, 15.17 and 14.24 (pgoutput, wal_level=logical)

Live (official postgres images, psycopg2-binary 2.9.13, Python 3.14 only): INSERT, UPDATE, DELETE, jsonb, TOAST columns, the update of the key, TRUNCATE, REPLICA IDENTITY FULL with primary_keys, the ALTER TABLE detection and the confirmation of the position (of a commit and while idle). Not tested: 10 to 13.

Python

CPython 3.9, 3.10, 3.11, 3.12, 3.13, 3.14 and PyPy 3.11

tox: unit and integration tests, and the live functional tests (MySQL 8.4 and MongoDB 5), on each one.

Libraries

mysql-replication 1.0.15 and 1.0.17; pymongo 4.17.0 and 4.18.1; PyMySQL 1.1.3 and 1.2.3; core-mixins 3.2.0 and 3.2.2

Both sets of versions ran the live tests.

Minimum declared libraries

mysql-replication 1.0.9, pymongo 4.0.0, core-mixins 3.2.0

Unit and integration tests on Python 3.9 (not live).

Notes:

  • MySQL 5.7 must be started with the binary log enabled (--server-id=1 --log-bin=mysql-bin --binlog-format=ROW). Four of the six MySQL functional tests run there: the other two are about binlog_row_metadata, a variable that does not exist in 5.7 (its column types are read from the database, see the MySQL section).

  • MongoDB create, createIndexes, dropIndexes and modify events need MongoDB 6.0+ and showExpandedEvents; rename, drop, dropDatabase and invalidate are sent by 5.0 too. Only the sharding operations (shardCollection, refineCollectionShardKey, reshardCollection) were tested with simulated events, since they need a sharded cluster.

Not tested (they may work, there is no verification): MySQL 8.1 to 8.3 and the 9.x versions other than 9.7.2, MariaDB, Percona and managed services (Amazon RDS / Aurora, Cloud SQL, Atlas), MongoDB before 5.0 and 7.0 or later, other minor versions of the ones listed, and sharded MongoDB clusters.

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

  • See: core_cdc/processors/mysql/

MongoDB - Change Streams based CDC
  • Uses native MongoDB Change Streams

  • Captures INSERT, UPDATE, DELETE operations

  • Requires replica set configuration

  • Real-time event streaming

  • See: core_cdc/processors/mongo/

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:

  1. Fork the repository

  2. Create a feature branch

  3. Write tests for new functionality

  4. Ensure all tests pass and coverage stays at 100 %: python manager.py run-coverage

  5. Run the linters and type checkers: ruff check core_cdc, ty check core_cdc, mypy --explicit-package-bases core_cdc, pyright core_cdc and pylint core_cdc

  6. Run the security checks: bandit -r core_cdc and pip-audit

  7. Submit a pull request

License

This project is licensed under the MIT License. See the LICENSE file for details.

Support

For questions or support, please open an issue on GitLab or contact the maintainers.

Authors

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