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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, and no others. To use pg-sync-roles effectively and securely, you should have knowledge of:

pg-sync-roles should not be used on roles that should have permissions to multiple database in a cluster (although this limitation may be removed in future versions)

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.
  • Automatically revokes permissions from roles not explicitly granted.
  • 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 role the ability to login, CONNECT to a database, and membership of another 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'),
        ),
    )

Or to give a role SELECT on a table, USAGE on a schema, membersip of a role, and OWNERship of another schema:

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'),
        ),
    )

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.

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