Skip to main content

Add your description here

Project description

pgque

A simple message queue based on PostgreSQL's FOR UPDATE SKIP LOCKED.

Installation

Install the basic synchronous version:

pip install pgque

To use the asynchronous version, you need to install the async extra, which includes the asyncpg driver:

pip install pgque[async]

If you prefer to use psycopg2 instead of psycopg (v3) for the synchronous version, you can install the psycopg2 extra:

pip install pgque[psycopg2]

Usage

First, you need to create the message table in your database. You can optionally specify a custom table name.

from pgque import create_tables

database_url = "postgresql://user:password@host:port/dbname"

# Create a table with the default name "messages"
create_tables(database_url)

# Or, create a table with a custom name
create_tables(database_url, table_name="my_messages")

Synchronous

from pgque import get_sync_queue

# Connect to a queue with the default table name
queue = get_sync_queue("postgresql+psycopg://user:password@host:port/dbname")

# Connect to a queue with a custom table name
custom_queue = get_sync_queue(
    "postgresql+psycopg://user:password@host:port/dbname",
    table_name="my_messages",
)

# Send a message
custom_queue.send_message("my_queue", {"hello": "world"})

# Receive a message
message = custom_queue.receive_message("my_queue")
if message:
    print(message["payload"])
    custom_queue.complete_message(message["id"])

Asynchronous

import asyncio
from pgque import get_async_queue

async def main():
    # Connect to a queue with a custom table name
    queue = get_async_queue(
        "postgresql+asyncpg://user:password@host:port/dbname",
        table_name="my_messages",
    )

    # Send a message
    await queue.send_message("my_queue", {"hello": "world"})

    # Receive a message
    message = await queue.receive_message("my_queue")
    if message:
        print(message["payload"])
        await queue.complete_message(message["id"])

    await queue.close()

asyncio.run(main())

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

pgque-0.1.0.tar.gz (42.1 kB view details)

Uploaded Source

Built Distribution

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

pgque-0.1.0-py3-none-any.whl (8.0 kB view details)

Uploaded Python 3

File details

Details for the file pgque-0.1.0.tar.gz.

File metadata

  • Download URL: pgque-0.1.0.tar.gz
  • Upload date:
  • Size: 42.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.2

File hashes

Hashes for pgque-0.1.0.tar.gz
Algorithm Hash digest
SHA256 3c714f46622ddf1c609972eb14afc4e38a52d1567860c89db9e25b60a1715c11
MD5 4b87119b538f3347909ef36925510c8c
BLAKE2b-256 c32d8c6f2a138af8f67c79d27e77bba829749db45710523edb5c88d858216445

See more details on using hashes here.

File details

Details for the file pgque-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: pgque-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 8.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.2

File hashes

Hashes for pgque-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4dc4ca52a393cf5c404aedec4d7127f536c99720baeffbca69b6e25ca03c4ed8
MD5 166aaf0c7bec8bfce5239ecdc41db182
BLAKE2b-256 18354b0d8e6b3ab64a93fd07326685828639289cce56fe2704b9dd5d6a0f6c4f

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