sqllineage 1.0.1

SQL Lineage Analysis Tool powered by Python

SQLLineage

SQL Lineage Analysis Tool powered by Python

Never get the hang of a SQL parser? SQLLineage comes to the rescue. Given a SQL command, SQLLineage will tell you its source and target tables, without worrying about Tokens, Keyword, Identifier and all the jagons used by SQL parsers.

Behind the scene, SQLLineage uses the fantastic sqlparse library to parse the SQL command, and bring you all the human-readable result with ease.

Documentation

Documentation is online hosted by readthedocs, and you can check the release note there.

Quick Start

Install sqllineage via PyPI:

$ pip install sqllineage

Using sqllineage command to parse a quoted-query-string:

$ sqllineage -e "insert into db1.table1 select * from db2.table2"
Statements(#): 1
Source Tables:
    db2.table2
Target Tables:
    db1.table1

Or you can parse a SQL file with -f option:

$ sqllineage -f foo.sql
Statements(#): 1
Source Tables:
    db1.table_foo
    db1.table_bar
Target Tables:
    db2.table_baz

Advanced Usage

Multiple SQL Statements

Lineage result combined for multiple SQL statements, with intermediate tables identified:

$ sqllineage -e "insert into db1.table1 select * from db2.table2; insert into db3.table3 select * from db1.table1;"
Statements(#): 2
Source Tables:
    db2.table2
Target Tables:
    db3.table3
Intermediate Tables:
    db1.table1

Verbose Lineage Result

And if you want to see lineage result for every SQL statement, just toggle verbose option

$ sqllineage -v -e "insert into db1.table1 select * from db2.table2; insert into db3.table3 select * from db1.table1;"
Statement #1: insert into db1.table1 select * from db2.table2;
    table read: [Table: db2.table2]
    table write: [Table: db1.table1]
    table rename: []
    table drop: []
    table intermediate: []
Statement #2: insert into db3.table3 select * from db1.table1;
    table read: [Table: db1.table1]
    table write: [Table: db3.table3]
    table rename: []
    table drop: []
    table intermediate: []
==========
Summary:
Statements(#): 2
Source Tables:
    db2.table2
Target Tables:
    db3.table3
Intermediate Tables:
    db1.table1

Lineage Visualization

One more cool feature, if you want a graph visualization for the lineage result, toggle graphviz option

sqllineage -g -e "insert into db1.table11 select * from db2.table21 union select * from db2.table22; insert into db3.table3 select * from db1.table11 join db1.table12;"

An interactive matplotlib graph will then pop up, showing DAG representation of the lineage result:

For visualization to work, you must have graphviz installed. With Ubuntu, it's simply

sudo apt install graphviz

For mac user, brew can help

brew install graphviz

graphviz also comes with Windows support, see Graphviz Download for details.

After that, all the extra dependencies for sqllineage must be installed as well. It will install matplotlib and pygraphviz :

pip install sqllineage[all]