sqlmesh-openlineage 0.1.0

OpenLineage integration for SQLMesh - emit lineage to Marquez

sqlmesh-openlineage

OpenLineage integration for SQLMesh. Automatically emits lineage events to Marquez or any OpenLineage-compatible backend.

Features

• Table-level lineage: Track which models depend on which upstream models
• Column-level lineage: Track which columns flow from source to destination
• Schema capture: Column names and types for each model
• Execution stats: Duration, rows processed, bytes processed
• Per-model events: START/COMPLETE/FAIL events for each model evaluation

Installation

pip install sqlmesh-openlineage

Or with uv:

uv add sqlmesh-openlineage

Quick Start (CLI Users)

Note: This package requires Python-based SQLMesh configuration (config.py), not YAML configuration.

Add this to your config.py:

import sqlmesh_openlineage

sqlmesh_openlineage.install(
    url="http://localhost:5000",
    namespace="my_project",
    # api_key="...",  # optional
)

from sqlmesh.core.config import Config

config = Config(
    # ... your existing config
)

Then run sqlmesh run as normal. OpenLineage events will be emitted for each model evaluation.

Environment Variables

You can also configure via environment variables:

export OPENLINEAGE_URL=http://localhost:5000
export OPENLINEAGE_NAMESPACE=my_project
export OPENLINEAGE_API_KEY=...  # optional

Then in config.py:

import sqlmesh_openlineage
sqlmesh_openlineage.install()  # reads from env vars

How It Works

This package uses SQLMesh's set_console() API to inject a custom Console wrapper. The wrapper intercepts per-snapshot lifecycle events and emits corresponding OpenLineage events:

• START event when a model evaluation begins
• COMPLETE event when evaluation succeeds (includes execution stats)
• FAIL event when evaluation fails or audits fail

Events Emitted

SQLMesh Event	OpenLineage Event	Data Included
Model evaluation start	RunEvent(START)	Input datasets, output dataset with schema, column lineage
Model evaluation success	RunEvent(COMPLETE)	Execution stats (rows, bytes, duration)
Model evaluation failure	RunEvent(FAIL)	Error message
Audit failure	RunEvent(FAIL)	Audit failure details

Column-Level Lineage

The integration automatically extracts column-level lineage using SQLMesh's built-in lineage analysis. For example, if you have:

-- customers.sql
SELECT customer_id, name, email FROM raw_customers

-- customer_summary.sql
SELECT
    c.customer_id,
    c.name as customer_name,
    COUNT(o.order_id) as total_orders
FROM customers c
LEFT JOIN orders o ON c.customer_id = o.customer_id
GROUP BY c.customer_id, c.name

The lineage will show that customer_summary.customer_name traces back to customers.name.

Testing with Marquez

# Start Marquez (requires Docker)
docker compose up -d

# Configure and run SQLMesh
export OPENLINEAGE_URL=http://localhost:5001
sqlmesh run

# View lineage at http://localhost:3000

Development

# Install dependencies
uv sync --dev

# Run tests (unit + integration)
uv run pytest tests/ -v

# Run Marquez integration test (requires Docker)
docker compose up -d
uv run pytest tests/test_marquez_integration.py -v -s
docker compose down

License

MIT