Skip to main content

Anonymization of data in pg_dump

Project description

pg_stage

A utility for generating a database dump, the data in which will be obfuscated. This dump can be used in development and stage servers without fear of their theft.

Content

How does it work?

The utility processes the output of the pg_dump command line by line and decides whether to obfuscate data at the level of comments to a table or column.

Usage example

  1. You need to create a file with approximately the following contents:
# main.py
from pg_stage.obfuscator import Obfuscator


obfuscator = Obfuscator(locale='ru_RU')
obfuscator.run()
  1. Add comments to a column or table:
COMMENT ON COLUMN table_1.first_name IS 'anon: [{"mutation_name": "first_name"}]';
  1. Run pg_dump and redirect the stream to the running script process:
pg_dump -d database | python3 main.py > dump.sql
  1. After that you will get the obfuscated data in the table

Supported types of obfuscation

You can see the current list here.

Why did I write my utility?

I also adhere to the rule that you do not need to place third-party plugins in the working database for its security (most utilities are in the form of database extensions).

Also, in similar utilities, I could not find the functionality for uniform obfuscation of data in related tables. This prompted me to write my own utility that will be able to obfuscate data in related tables with the same result by a foreign key.

Example:

COMMENT ON COLUMN table_1.first_name IS 'anon: [{"mutation_name": "first_name", "relations": [{"table_name": "table_1", "column_name": "last_name", "from_column_name": "id", "to_column_name": "id"}]}]';

where relations - links on tables where it is necessary to obfuscate fields according to the current field.

Thanks for the inspiration

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

pg_stage-0.3.3.tar.gz (16.3 kB view details)

Uploaded Source

Built Distribution

pg_stage-0.3.3-py3-none-any.whl (10.0 kB view details)

Uploaded Python 3

File details

Details for the file pg_stage-0.3.3.tar.gz.

File metadata

  • Download URL: pg_stage-0.3.3.tar.gz
  • Upload date:
  • Size: 16.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for pg_stage-0.3.3.tar.gz
Algorithm Hash digest
SHA256 e02e58ed81977ae323497ec185b9da2097cd65722de6f9b943e26c2ceff2418e
MD5 50661720ffda62519b965913e426a7f1
BLAKE2b-256 251d4133145d69b01f186d882b5b097ef26316af434fd47b4d5db886e627111f

See more details on using hashes here.

File details

Details for the file pg_stage-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: pg_stage-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 10.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for pg_stage-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 7e3af1be0795c76dd3757d87d74029b84f6cf4866ee8009ca2496bc8807de4de
MD5 fc134a6b571af9d977d3fa219e6d96f5
BLAKE2b-256 6cad3952574ae976559e1d0845deccd95edb197d41721a103f7d48ead319992b

See more details on using hashes here.

Supported by

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