Skip to main content

Python utility function to ensure that a PostgreSQL role has certain permissions or role memberships

Project description

pg-sync-roles PyPI package Test suite Code coverage

Python utility function to ensure that a PostgreSQL role has certain permissions or role memberships

[!WARNING]
Work in progress. This README serves as a rough design spec.

Features

  • Transparently handles high numbers of permissions - avoiding "row is too big" errors.
  • Locks where necessary - working around "tuple concurrently updated" or "tuple concurrently deleted" errors that can happen when permission changes are performed concurrently.
  • Optionally removes permissions from roles.
  • Handles database connect, schema usage, table select permissions, and role memberships - typically useful when using PostgreSQL as a data warehouse with a high number of users that need granular permissions.

Installation

pg-sync-roles can be installed from PyPI using pip. psycopg2 or psycopg (Psycopg 3) must also be explicitly installed.

pip install pg-sync-roles psycopg

Usage

To give a user CONNECT privileges on a database, as well as membership of role:

from pg_sync_roles import Login, DatabaseConnect, RoleMembership, sync_roles

# For example purposes, PostgreSQL can be run locally using this...
# docker run --rm -it -e POSTGRES_HOST_AUTH_METHOD=trust -p 5432:5432 postgres

# ... which should work with this engine
engine = sa.create_engine('postgresql+psycopg://postgres@127.0.0.1:5432/')

with engine.connect() as conn:
    sync_roles(
        conn,
        'my_user_name',
        grants=(
            Login(password='...', valid_until='...'),
            DatabaseConnect('my_database_name'),
            RoleMembership('my_role_name'),
        ),
    )

A more complex example, where permissions and memberships are granted, but also any existing permissions not passed are revoked:

from pg_sync_roles import (
    RoleMembership,
    SchemaUsage,
    SchemaOwnership,
    TableSelect,
    sync_roles,
)

engine = sa.create_engine('postgresql+psycopg://postgres@127.0.0.1:5432/')

with engine.connect() as conn:
    sync_roles(
        conn,
        'my_role_name',
        grants=(
            TableSelect('my_schema', 'my_table'),
            SchemaUsage('my_schema'),
            RoleMembership('my_other_role'),
            SchemaOwnership('my_other_schema', create_if_not_exists=True),
        ),
        # Revokes all table select, schema usage, and role memberships
        # that are not not passed via the grants parameter
        revokes=(
            TableSelect,
            SchemaUsage,
            RoleMembership,
        ),
    )

Locking and coordination with other processes that manage permissions

pg-sync-roles obtains an advisory exclusive lock before making any changes - this avoids "tuple concurrently updated" or "tuple concurrently deleted" errors that can be raised when multiple connections change or delete the same permissions-related rows. It does this by calling the pg_advisory_xact_lock(key bigint) function. By default a key of 1 is used, but this can be changed by passing a different integer key as the lock_key parameter to sync_roles.

If you have other processes changing permissions outide of the sync_roles function, they should first obtain the same lock by explicitly calling pg_advisory_xact_lock(key bigint) with the same key.

The advisory lock is only obtained if sync_roles detects there are changes to be made, and is released by the time it returns.

Under the hood

pg-sync-roles maintains a role per database perimission, a role per schema pemission, and a role per table permission. Rather than roles being granted permissions directly on objects, membership is granted to these roles that indirectly grant permissions on objects. This means that from the object's point of view, only 1 role has any given permission. This works around the de-facto limit on the number of roles that can have permission to any object.

The names of the roles maintained by pg-sync-roles begin with the prefix _pgsr_. Each name ends with a randomly generated unique identifier.

Compatibility

pg-sync-roles aims to be compatible with a wide range of Python and other dependencies:

  • Python >= 3.7.1 (tested on 3.7.1, 3.8.0, 3.9.0, 3.10.0, and 3.11.0)
  • psycopg2 >= 2.9.2 (tested on 3.9.2) and Psycopg 3 >= 3.1.4 (tested on 3.1.4)
  • SQLAlchemy >= 1.4.24 (tested on 1.4.24 and 2.0.0)
  • PostgreSQL >= 9.6 (tested on 9.6, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, and 16.0)

Note that SQLAlchemy < 2 does not support Psycopg 3, and for SQLAlchemy < 2 future=True must be passed to its create_engine function.

There are no plans to drop support for any of the above.

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_sync_roles-0.0.16.tar.gz (7.2 kB view details)

Uploaded Source

Built Distribution

pg_sync_roles-0.0.16-py3-none-any.whl (6.4 kB view details)

Uploaded Python 3

File details

Details for the file pg_sync_roles-0.0.16.tar.gz.

File metadata

  • Download URL: pg_sync_roles-0.0.16.tar.gz
  • Upload date:
  • Size: 7.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pg_sync_roles-0.0.16.tar.gz
Algorithm Hash digest
SHA256 19bd88036d147b2e04905af14dfe72b859e09411e890b4c81e293f9bbd37001f
MD5 b606a3f277bba64d4a68758d2aef0e84
BLAKE2b-256 db53cb6f0f53ded6c64b4ab51491547537bc893d8c1d50c7476febf7a8980c2e

See more details on using hashes here.

File details

Details for the file pg_sync_roles-0.0.16-py3-none-any.whl.

File metadata

File hashes

Hashes for pg_sync_roles-0.0.16-py3-none-any.whl
Algorithm Hash digest
SHA256 0725c92cb72ede996ffcd714f938d2e6e6cf5700b182d8d38e61455bcb8efd4e
MD5 e2f8890cd758c1455eba6e7c5733c78b
BLAKE2b-256 e3d197411f943276ba241fec01d2c4d4ad0a60bb5455efeba8af75c69a0f5515

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