Skip to main content

Commandline tool to anonymize PostgreSQL databases

Project description

This commandline tool makes PostgreSQL database anonymization easy. It uses a YAML definition file to define which tables and fields should be anonymized and provides various methods of anonymization.

license pypi Download count build

1 Features

  • Anonymize PostgreSQL tables on data level entry with various methods (s. table below)

  • Exclude data for anonymization depending on regular expressions

  • Truncate entire tables for unwanted data

Field

Value

Provider

Output

first_name

John

choice

(Bob|Larry|Lisa)

title

Dr.

clear

street

Irving St

faker.street_name

Miller Station

password

dsf82hFxcM

mask

XXXXXXXXXX

email

jane.doe@example.com

md5

0cba00ca3da1b283a57287bcceb17e35

ip

157.50.1.20

set

127.0.0.1

See the documentation for a more detailed description of the provided anonymization methods.

2 Installation

The default installation method is to use pip:

$ pip install pganonymize

3 Usage

usage: pganonymize [-h] [-v] [-l] [--schema SCHEMA] [--dbname DBNAME]
               [--user USER] [--password PASSWORD] [--host HOST]
               [--port PORT] [--dry-run] [--dump-file DUMP_FILE]

Anonymize data of a PostgreSQL database

optional arguments:
-h, --help            show this help message and exit
-v, --verbose         Increase verbosity
-l, --list-providers  Show a list of all available providers
--schema SCHEMA       A YAML schema file that contains the anonymization
                        rules
--dbname DBNAME       Name of the database
--user USER           Name of the database user
--password PASSWORD   Password for the database user
--host HOST           Database hostname
--port PORT           Port of the database
--dry-run             Don't commit changes made on the database
--dump-file DUMP_FILE
                        Create a database dump file with the given name

Despite the database connection values, you will have to define a YAML schema file, that includes all anonymization rules for that database. Take a look at the schema documentation or the YAML sample schema.

Example call:

$ pganonymize --schema=myschema.yml \
    --dbname=test_database \
    --user=username \
    --password=mysecret \
    --host=db.host.example.com \
    -v

3.1 Database dump

With the --dump-file argument it is possible to create a dump file after anonymizing the database. Please note, that the pg_dump command from the postgresql-client-common library is necessary to create the dump file for the database, e.g. under Linux:

sudo apt-get install postgresql-client-common

Example call:

$ pganonymize --schema=myschema.yml \
    --dbname=test_database \
    --user=username \
    --password=mysecret \
    --host=db.host.example.com \
    --dump-file=/tmp/dump.gz \
    -v

4 Quickstart

Clone repo:

$ git clone git@github.com:rheinwerk-verlag/postgresql-anonymizer.git
$ cd postgresql-anonymizer

For making changes and developing pganonymizer, you need to install poetry:

$ sudo pip install poetry

Now you can install all requirements and activate the virtualenv:

$ poetry install
$ poetry shell

5 Docker

If you want to run the anonymizer within a Docker container you first have to build the image:

$ docker build -t pganonymizer .

After that you can pass a schema file to the container, using Docker volumes, and call the anonymizer:

$ docker run \
    -v <path to your schema>:/schema.yml \
    -it pganonymizer \
    /usr/local/bin/pganonymize \
    --schema=/schema.yml \
    --dbname=<database> \
    --user=<user> \
    --password=<password> \
    --host=<host> \
    -v

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

pganonymize-0.3.1.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

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

pganonymize-0.3.1-py2.py3-none-any.whl (11.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pganonymize-0.3.1.tar.gz.

File metadata

  • Download URL: pganonymize-0.3.1.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.6.1 requests/2.24.0 setuptools/40.0.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.18

File hashes

Hashes for pganonymize-0.3.1.tar.gz
Algorithm Hash digest
SHA256 5c3abf51749b07122e4d4a9c7d3ce4481c8dcae4137fcf0f5ddcdc24cbd499f4
MD5 4c89b80d097b4783fde3ffafc5b0528a
BLAKE2b-256 2e8efa8f5df8a993d237b4d1ef1de3cd0f0a5eb392e236b71065be4b8e489f3c

See more details on using hashes here.

File details

Details for the file pganonymize-0.3.1-py2.py3-none-any.whl.

File metadata

  • Download URL: pganonymize-0.3.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 11.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.6.1 requests/2.24.0 setuptools/40.0.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.18

File hashes

Hashes for pganonymize-0.3.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c1be4af0921fd90dfc459e43dd7617ae5b59d80e2de022bb8595e49996649960
MD5 6406650aee4011d41208aefee7841b70
BLAKE2b-256 fac4a15df11286b57d3156643f8a165a4e905bb47b9200789979e5a923df5c63

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