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.

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 test_obf.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-0.1.7.tar.gz (15.6 kB view details)

Uploaded Source

Built Distribution

pg_stage-0.1.7-py3-none-any.whl (5.8 kB view details)

Uploaded Python 3

File details

Details for the file pg_stage-0.1.7.tar.gz.

File metadata

  • Download URL: pg_stage-0.1.7.tar.gz
  • Upload date:
  • Size: 15.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for pg_stage-0.1.7.tar.gz
Algorithm Hash digest
SHA256 7288dd500bb6b1f80d2b4f64ef80b9d59ec246891cfb00982ad7eb3bcbf51d66
MD5 569b8a06deabb3eaecf72f8030164ca5
BLAKE2b-256 5ecbe2d7f17dac2dec9166486f76f0b7395fd1e1a7d4df4585746f5b47ab6281

See more details on using hashes here.

File details

Details for the file pg_stage-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: pg_stage-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 5.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for pg_stage-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 4fda2323b9470d1bc008bd3cc2c03778a60d2c5df149e8f310b2ce330d46b0f5
MD5 ce225987d0a752015fa8d8be5959b1c1
BLAKE2b-256 8b1cf43336b502c484c40d42e80b9e9280c2bef35a3ac1e8abb658defd822861

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