sql2lineage 0.3.0

Create lineage graphs from SQL queries

sql2lineage

The sql2lineage package makes it easy to understand the data lineage of your SQL ETL files.

Features

• Parse SQL strings to create data lineage
• Build a graph to represent the data lineage
• Search and print neighbourhoods

Example

Creating Lineage

With an example SQL file:

WITH orders_with_tax AS (
    SELECT
        order_id,
        customer_id,
        order_total * 1.2 AS total_with_tax
    FROM raw.orders
),
filtered_orders AS (
    SELECT
        order_id,
        customer_id,
        total_with_tax
    FROM orders_with_tax
)

CREATE TABLE big_orders AS
SELECT * FROM filtered_orders;

We can parse the content to create lineage.

from sql2lineage.graph import LineageGraph
from sql2lineage.parser import SQLLineageParser

with open("example.sql") as f:
    sql = f.read()

parser = SQLLineageParser()
r = parser.extract_lineage(sql)


graph = LineageGraph()
graph.from_parsed(r.expressions)
graph.pretty_print()

Output

filtered_orders --> big_orders [type: TABLE]
raw.orders --> orders_with_tax [type: TABLE]
orders_with_tax --> filtered_orders [type: TABLE]
filtered_orders.customer_id --> big_orders.customer_id [type: COLUMN, action: COPY]
filtered_orders.total_with_tax --> big_orders.total_with_tax [type: COLUMN, action: COPY]
filtered_orders.order_id --> big_orders.order_id [type: COLUMN, action: COPY]
orders_with_tax.customer_id --> filtered_orders.customer_id [type: COLUMN, action: COPY]
orders_with_tax.total_with_tax --> filtered_orders.total_with_tax [type: COLUMN, action: COPY]
orders_with_tax.order_id --> filtered_orders.order_id [type: COLUMN, action: COPY]
raw.orders.order_id --> orders_with_tax.order_id [type: COLUMN, action: COPY]
raw.orders.order_total --> orders_with_tax.order_total [type: COLUMN, action: TRANSFORM]
raw.orders.customer_id --> orders_with_tax.customer_id [type: COLUMN, action: COPY]

Searching Neighbours

Using the previously created graph, we can find all the neighbours of node orders_with_tax.order_id:

paths = graph.get_node_neighbours("orders_with_tax.order_id")
graph.print_neighbourhood(paths)

Output

Neighbourhood:
  ↳ {'source': 'raw.orders.order_id', 'target': 'orders_with_tax.order_id', 'type': 'COLUMN', 'action': 'COPY'}
  ↳ {'source': 'orders_with_tax.order_id', 'target': 'filtered_orders.order_id', 'type': 'COLUMN', 'action': 'COPY'}
  ↳ {'source': 'filtered_orders.order_id', 'target': 'big_orders.order_id', 'type': 'COLUMN', 'action': 'COPY'}

Bugs/Requests

Please use the GitHub Issue Tracker to submit bugs or requests.

License

Copyright Sean Conkie, 2025.

Distributed under the terms of the MIT license, sql2lineage is free and open source software.