A commandline tool to anonymize PostgreSQL databases for DSGVO/GDPR purposes.
It uses a YAML file to define which tables and fields should be anonymized and provides various methods of anonymization. The tool requires a direct PostgreSQL connection to perform the anonymization.
.. class:: no-web no-pdf
|python| |license| |pypi| |downloads| |build| |codecov| |health|
.. figure:: https://raw.githubusercontent.com/rheinwerk-verlag/pganonymize/main/docs/_static/demo.gif :width: 100%
.. contents::
WHERE
clauses+----------------+----------------------+-------------------------+----------------------------------+
| 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 |
+----------------+----------------------+-------------------------+----------------------------------+
| credit_card
| 1234-567-890 | partial_mask
| 1??????????0 |
+----------------+----------------------+-------------------------+----------------------------------+
| email
| jane.doe@example.com | md5
| 0cba00ca3da1b283a57287bcceb17e35 |
+----------------+----------------------+-------------------------+----------------------------------+
| email
| jane.doe@example.com | faker.unique.email
| alex7@sample.com |
+----------------+----------------------+-------------------------+----------------------------------+
| phone_num
| 65923473 | md5
as_number: True | 3948293448 |
+----------------+----------------------+-------------------------+----------------------------------+
| ip
| 157.50.1.20 | set
| 127.0.0.1 |
+----------------+----------------------+-------------------------+----------------------------------+
| uuid_col
| 00010203-0405-...... | uuid4
| f7c1bd87-4d.... |
+----------------+----------------------+-------------------------+----------------------------------+
faker.unique.[provider]
only supported on Python 3.6+ (Faker library min. supported python version)uuid4
- only for (native uuid4
_) columnsSee the documentation
_ for a more detailed description of the provided anonymization methods.
The default installation method is to use pip
:
.. code-block::
$ pip install pganonymize
.. code-block::
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
--dump-options DUMP_OPTIONS
Options to pass to the pg_dump command
--init-sql INIT_SQL SQL to run before starting anonymization
--parallel Data anonymization is done in parallel
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 calls:
.. code-block::
$ pganonymize --schema=myschema.yml \
--dbname=test_database \
--user=username \
--password=mysecret \
--host=db.host.example.com \
-v
$ pganonymize --schema=myschema.yml \
--dbname=test_database \
--user=username \
--password=mysecret \
--host=db.host.example.com \
--init-sql "set search_path to non_public_search_path; set work_mem to '1GB';" \
-v
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:
.. code-block::
$ sudo apt-get install postgresql-client-common
Example call:
.. code-block::
$ pganonymize --schema=myschema.yml \
--dbname=test_database \
--user=username \
--password=mysecret \
--host=db.host.example.com \
--dump-file=/tmp/dump.gz \
-v
So that the password for dumping does not have to be entered manually, it can also be entered as an environment var
``PGPASSWORD``:
.. code-block::
$ PGPASSWORD=password pganonymize --schema=myschema.yml \
--dbname=test_database \
--user=username \
--password=mysecret \
--host=db.host.example.com \
--dump-file=/tmp/dump.gz \
-v
.. warning::
Currently only the ``dump-file`` operation supports environment variables.
Docker
If you want to run the anonymizer within a Docker container you first have to build the image:
.. code-block::
$ docker build -t pganonymize .
After that you can pass a schema file to the container, using Docker volumes, and call the anonymizer:
.. code-block::
$ docker run \
-v <path to your schema>:/schema.yml \
-it pganonymize \
/usr/local/bin/pganonymize \
--schema=/schema.yml \
--dbname=<database> \
--user=<user> \
--password=<password> \
--host=<host> \
-v
.. _uuid4: https://www.postgresql.org/docs/current/datatype-uuid.html .. _documentation: https://pganonymize.readthedocs.io/en/latest/ .. _schema documentation: https://pganonymize.readthedocs.io/en/latest/schema.html .. _YAML sample schema: https://github.com/rheinwerk-verlag/pganonymize/blob/master/sample_schema.yml
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