Skip to main content

Connect to an existing PostgreSQL cluster as the `postgres` superuser and execute SQL commands.

Project description

Build Status Coverage Status PyPI version GitHub license

pgsu

Connect to an existing PostgreSQL cluster as a PostgreSQL SUPERUSER and execute SQL commands.

psycopg has a great API for interacting with PostgreSQL, once you provide it with the connection parameters for a given database. However, what if your desired database and database user do not yet exist? In order to create them, you will need to connect to PostgreSQL as a SUPERUSER.

Features

  • autodetects postgres setup, tested on
  • uses psycopg to connect if possible
  • can use sudo to become the postgres UNIX user if necessary/possible (default Ubuntu PostgreSQL setups)

Usage

Python API

from pgsu import PGSU
pgsu = PGSU()  # On Ubuntu, this may prompt for sudo password
pgsu.execute("CREATE USER newuser WITH PASSWORD 'newpassword'")
users = pgsu.execute("SELECT usename FROM pg_user WHERE usename='newuser'")
print(users)

While the main point of the package is to guess how to connect as a postgres superuser, you can also provide partial or all information abut the setup using the dsn parameter. These are the default settings:

from pgsu import PGSU
pgsu = PGSU(dsn={
    'host': None,
    'port': 5432,
    'user': 'postgres',
    'password': None,
    'dbname': 'template1',  # Note: you cannot drop databases you are connected to
})

Command line tool

The package also comes with a very basic pgsu command line tool that allows users to execute PostgreSQL commands as the superuser:

$ pgsu "SELECT usename FROM pg_user"
Trying to connect to PostgreSQL...
Executing query: SELECT usename FROM pg_user
[('aiida_qs_leopold',),
 ('postgres',)]

Tests

Run the tests as follows:

pip install -e .[dev]
pytest

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

pgsu-0.3.0.tar.gz (8.2 kB view details)

Uploaded Source

Built Distribution

pgsu-0.3.0-py3-none-any.whl (8.8 kB view details)

Uploaded Python 3

File details

Details for the file pgsu-0.3.0.tar.gz.

File metadata

  • Download URL: pgsu-0.3.0.tar.gz
  • Upload date:
  • Size: 8.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.32.3

File hashes

Hashes for pgsu-0.3.0.tar.gz
Algorithm Hash digest
SHA256 51dbb8f2272deacc28f546af442a1411eb260b1da53e11d4f93ea90f2b1acf50
MD5 037d1c709d58db1529e3e0df98192d0a
BLAKE2b-256 581d48f83c23a7be0d8bbbab80cb93010ffee0dad2a760d86de3b28470f0b6f9

See more details on using hashes here.

Provenance

File details

Details for the file pgsu-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: pgsu-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 8.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.32.3

File hashes

Hashes for pgsu-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8bb206d02ea6bd8388cb3998e12f1ca9e954a740053b76773a99dc6d55fa23f4
MD5 4078acfc4b2d402356871898ca76cf28
BLAKE2b-256 fef03403fae3006cd6c1e64378b7df10d59c114b23a7a90a4b565d8389cb4cb5

See more details on using hashes here.

Provenance

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