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.

Demo & Documentation

Talk is cheap, show me a demo.

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 graph-visualization 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;"

A webserver will be started, showing DAG representation of the lineage result in browser:

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-1.2.3.tar.gz (4.5 MB view details)

Uploaded Source

Built Distribution

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

sqllineage-1.2.3-py3-none-any.whl (4.4 MB view details)

Uploaded Python 3

File details

Details for the file sqllineage-1.2.3.tar.gz.

File metadata

  • Download URL: sqllineage-1.2.3.tar.gz
  • Upload date:
  • Size: 4.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for sqllineage-1.2.3.tar.gz
Algorithm Hash digest
SHA256 14b5b1cd9de4a333bdf4ae80804663157e1733228ebe870d50fb09f0701a477d
MD5 b901a8eebca884d5cd9a2cddc0225948
BLAKE2b-256 53f80038d1cc3bcc02e88bed5eb425ee1053c6a23eab0daa59d7177baf7312db

See more details on using hashes here.

File details

Details for the file sqllineage-1.2.3-py3-none-any.whl.

File metadata

  • Download URL: sqllineage-1.2.3-py3-none-any.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for sqllineage-1.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 6bfdabac186480e686f15698d8b9ddb471eeca2e070b8a746c54b3af2f5fe686
MD5 15d9b45b85925e02cf9189eb879e91bc
BLAKE2b-256 de047ce85e3c932261b11301436a79e30456e5454a1ebb7c9addbe780ed6338e

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