Plan and preview warehouse SQL model changes before rollout with SQLMesh

Compare SQL model changes, preview backfills and downstream impact, and stage safer warehouse rollouts before execution.

Prerequisites

Python 3.9+, pip, SQLMesh, warehouse connection

Installation

Use the upstream install or setup path that matches your environment:

• pip install 'sqlmesh[lsp]' # install the sqlmesh package with extensions to work with VSCode

Requirements and caveats from upstream:

• SQLMesh is a next-generation data transformation framework designed to ship data quickly, efficiently, and without error. Data teams can run and deploy data transformations written in SQL or Python with visibility and...
• python -m venv .venv
• Note: You may need to run python3 or pip3 instead of python or pip, depending on your python installation.

Basic usage or getting-started notes:

• run the unit test

• 'new_column' AS new_column, /* non-breaking change example */

• Track what data’s been modified and run only the necessary transformations for incremental models

• Source: https://github.com/SQLMesh/sqlmesh

• Extracted from upstream docs: https://raw.githubusercontent.com/SQLMesh/sqlmesh/HEAD/README.md

Documentation

• https://sqlmesh.readthedocs.io/

Source

• Agent Skill Exchange