Skip to main content

No project description provided

Project description

# asyncpgdb

`asyncpgdb` is a Python library that provides an asynchronous database interface built on top of `asyncpg`. One of its unique features is a custom query formatting style that allows you to write parameterized queries using a more readable syntax.

## Installation

You can install `asyncpgdb` using pip:

```bash
pip install asyncpgdb

Features

  • Asynchronous database operations.
  • Connection pooling for efficient resource management.
  • Simplified query execution and result handling.
  • Custom query formatting style for better readability.

Usage

Database Connection

To establish a connection to your PostgreSQL database, create an instance of the Database class:

from asyncpgdb import Database

db = Database(dsn="your_database_dsn_here")
await db.connect()

Executing Queries

You can execute queries using the execute method. The library supports a custom query formatting style that allows you to parameterize your queries using named variables, enclosed in $( ):

query = "SELECT name, age FROM users WHERE name = $(name) AND age > $(age)"
result = await db.execute(query, vars={"name": "John", "age": 30})

# For SELECT queries, you can fetch the results in various formats
rows = await result.fetch_all()

Connection Management

asyncpgdb provides automatic connection management, so you don't need to worry about acquiring and releasing connections manually:

async with db.acquire_connection() as conn:
    # Use the connection for queries within this block
    pass  # Connection is automatically released after this block

Connection Pool

asyncpgdb manages a connection pool by default, so you can specify the minimum and maximum number of connections in the pool when creating a Database instance:

db = Database(dsn="your_database_dsn_here", min_size=2, max_size=10)

Examples

Selecting Data

query = "SELECT name, age FROM users WHERE age > $(age)"
results = await db.execute(query, vars={"age": 30})
users = await results.fetch_all()

Inserting Data

query = "INSERT INTO products (name, price) VALUES ($(name), $(price))"
await db.execute(query, vars={"name": "Widget", "price": 19.99})

Updating Data

query = "UPDATE orders SET status = $(status) WHERE id = $(id)"
await db.execute(query, vars={"status": "shipped", "id": 123})

Documentation

For more details and advanced usage, refer to the documentation.

License

This library is licensed under the MIT License.


Please replace `"your_database_dsn_here"` with your actual database DSN, and ensure that you have the required dependencies installed to use `asyncpgdb`. You can find detailed documentation and usage examples in the official documentation.

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

asyncpgdb-0.0.15.tar.gz (7.4 kB view details)

Uploaded Source

Built Distribution

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

asyncpgdb-0.0.15-py3-none-any.whl (8.9 kB view details)

Uploaded Python 3

File details

Details for the file asyncpgdb-0.0.15.tar.gz.

File metadata

  • Download URL: asyncpgdb-0.0.15.tar.gz
  • Upload date:
  • Size: 7.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.2 CPython/3.9.13 Darwin/23.0.0

File hashes

Hashes for asyncpgdb-0.0.15.tar.gz
Algorithm Hash digest
SHA256 1a7d9a3b4340dcd6e7206875b4f8303e969440c821e31b6c05db0d182273a161
MD5 039f15d7b20fd1bbcd1fac7e67cca51d
BLAKE2b-256 467a7de26fca976cf01c970658468f1e097a3e7151da8125968b5a37ca321f92

See more details on using hashes here.

File details

Details for the file asyncpgdb-0.0.15-py3-none-any.whl.

File metadata

  • Download URL: asyncpgdb-0.0.15-py3-none-any.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.2 CPython/3.9.13 Darwin/23.0.0

File hashes

Hashes for asyncpgdb-0.0.15-py3-none-any.whl
Algorithm Hash digest
SHA256 b65509c511955dbbdd199cea25fe8679a32f21d37909f7e513aa519cc8a67289
MD5 55a939969ed7419f777772ef6b927d07
BLAKE2b-256 1f56e473cd67f36119626d3002627e9121605c94f78192b3eb3d14f7f8725bc0

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