Plan and preview warehouse SQL model changes before rollout with SQLMesh

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