dg-sqlmesh 1.9.3

Seamless integration between Dagster and SQLMesh for modern data engineering workflows

dg-sqlmesh

A Dagster integration for SQLMesh that provides seamless orchestration of SQLMesh models, schedules, and assets within Dagster workflows.

🚀 Quick Start

# Install the package
pip install dg-sqlmesh

# Or install from source
pip install -e .

📚 Documentation

📖 Full Documentation →

Our comprehensive documentation includes:

• Getting Started - Installation and setup guides
• User Guide - Core concepts and architecture
• Examples - Practical usage patterns
• Development - Contributing guidelines

🎯 Key Features

• SQLMesh Integration - Native support for SQLMesh models and schedules
• Asset Management - Automatic asset creation from SQLMesh models
• Scheduling - Adaptive scheduling with Dagster's scheduling system
• Audit Integration - Built-in audit checks and validation
• Environment Management - Multi-environment support

🏗️ Architecture

dg-sqlmesh provides a clean abstraction layer between Dagster and SQLMesh:

• SQLMeshResource - Manages SQLMesh context and execution
• SQLMeshTranslator - Converts SQLMesh concepts to Dagster assets
• Factory Functions - Easy setup and configuration

🔧 Installation

From PyPI

pip install dg-sqlmesh

From Source

git clone https://github.com/fosk06/dagster-sqlmesh.git
cd dagster-sqlmesh
pip install -e .

📖 Examples

See our examples directory and documentation for comprehensive usage examples.

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

📄 License

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

🔗 Links

• Documentation: https://fosk06.github.io/dagster-sqlmesh/
• GitHub: https://github.com/fosk06/dagster-sqlmesh
• PyPI: https://pypi.org/project/dg-sqlmesh/
• Releases: https://github.com/fosk06/dagster-sqlmesh/releases