Skip to main content

SQL Lineage Analysis Tool powered by Python

Project description

SQLLineage

SQL Lineage Analysis Tool powered by Python

image image image image Build Status Documentation Status codecov Code style: black security: bandit

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.

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: Alt text

For visulization 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]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqllineage-0.4.0.tar.gz (9.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sqllineage-0.4.0-py3-none-any.whl (10.8 kB view details)

Uploaded Python 3

File details

Details for the file sqllineage-0.4.0.tar.gz.

File metadata

  • Download URL: sqllineage-0.4.0.tar.gz
  • Upload date:
  • Size: 9.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.5.9

File hashes

Hashes for sqllineage-0.4.0.tar.gz
Algorithm Hash digest
SHA256 1a086543cc50aa01e5102e87b193b0776935217a2f48c2b18d5bfbe147754be7
MD5 ab70e9f8f40ff009171dffa315631516
BLAKE2b-256 792ca386304394fbab601a3dd80002e49229ee63f33002baa8002bb3dc2fca74

See more details on using hashes here.

File details

Details for the file sqllineage-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: sqllineage-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 10.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.5.9

File hashes

Hashes for sqllineage-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c34ca8b80e2abe545980ab9fbe33481cd85448a97bc4f68bbb97b1ded905a4fb
MD5 3fb3b6de5f9819ccc264afdac9200540
BLAKE2b-256 703c952529677548a61db4e95bfc3fd828df4397b82e125e6d37cf2d72039267

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page