Library for Asynchronous data source connections Collection of asyncio drivers.
Project description
AsyncDB
AsyncDB is a collection of different Database Drivers using asyncio-based connections, binary-connectors (as asyncpg) but providing an abstraction layer to easily connect to different data sources, a high-level abstraction layer for various non-blocking database connectors, on other blocking connectors (like MS SQL Server) we are using ThreadPoolExecutors to run in a non-blocking manner.
Why AsyncDB?
The finality of AsyncDB is to provide us a subset of drivers (connectors) for accessing different databases and data sources for data interaction. The main goal of AsyncDB is using asyncio-based technologies.
Getting Started
Requirements
Python 3.8+
Installation
$ pip install asyncdb
---> 100%
Successfully installed asyncdb
Can also install only drivers required like:
$ pip install asyncdb[pg] # this install only asyncpg
Or install all supported drivers as:
$ pip install asyncdb[all]
Requirements
- Python >= 3.8
- asyncio (https://pypi.python.org/pypi/asyncio/)
Currently AsyncDB supports the following databases:
- PostgreSQL (supporting two different connectors: asyncpg or aiopg)
- SQLite (requires aiosqlite)
- mySQL/MariaDB (requires aiomysql and mysqlclient)
- ODBC (using aioodbc)
- JDBC(using JayDeBeApi and JPype)
- RethinkDB (requires rethinkdb)
- Redis (requires aioredis)
- Memcache (requires aiomcache)
- MS SQL Server (non-asyncio using freeTDS and pymssql)
- Apache Cassandra (requires official cassandra driver)
- InfluxDB (using influxdb)
- CouchBase (using aiocouch)
- MongoDB (using motor)
- SQLAlchemy (requires sqlalchemy async (+3.14))
Quick Tutorial
from asyncdb import AsyncDB
db = AsyncDB('pg', dsn='postgres://user:password@localhost:5432/database')
# Or you can also passing a dictionary with parameters like:
params = {
"user": "user",
"password": "password",
"host": "localhost",
"port": "5432",
"database": "database",
"DEBUG": True,
}
db = AsyncDB('pg', params=params)
async with await db.connection() as conn:
result, error = await conn.query('SELECT * FROM test')
And that's it!, we are using the same methods on all drivers, maintaining a consistent interface between all of them, facilitating the re-use of the same code for different databases.
Every Driver has a simple name to call it:
- pg: AsyncPG (PostgreSQL)
- postgres: aiopg (PostgreSQL)
- mysql: aiomysql (mySQL)
- influx: influxdb (InfluxDB)
- redis: aioredis (Redis)
- mcache: aiomcache (Memcache)
- odbc: aiodbc (ODBC)
Future work:
- Prometheus
Output Support
With Output Support results can be returned into a wide-range of variants:
from datamodel import BaseModel
class Point(BaseModel):
col1: list
col2: list
col3: list
db = AsyncDB('pg', dsn='postgres://user:password@localhost:5432/database')
async with await d.connection() as conn:
# changing output format to Pandas:
conn.output_format('pandas') # change output format to pandas
result, error = await conn.query('SELECT * FROM test')
conn.output_format('csv') # change output format to CSV
result, _ = await conn.query('SELECT TEST')
conn.output_format('dataclass', model=Point) # change output format to Dataclass Model
result, _ = await conn.query('SELECT * FROM test')
Currently AsyncDB supports the following Output Formats:
- CSV (comma-separated or parametrized)
- JSON (using orjson)
- iterable (returns a generator)
- Recordset (Internal meta-Object for list of Records)
- Pandas (a pandas Dataframe)
- Datatable (Dt Dataframe)
- Dataclass (exporting data to a dataclass with -optionally- passing Dataclass instance)
- PySpark Dataframe
And others to come:
- Apache Arrow (using pyarrow)
- Polars (Using Python polars)
- Dask Dataframe
Contribution guidelines
Please have a look at the Contribution Guide
- Writing tests
- Code review
Who do I talk to?
- Repo owner or admin
- Other community or team contact
License
AsyncDB is copyright of Jesus Lara (https://phenobarbital.info) and is licensed under BSD. I am providing code in this repository under an open source licenses, remember, this is my personal repository; the license that you receive is from me and not from my employeer.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Hashes for asyncdb-2.6.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e7c0bbbc872b0a4d7315e0a381bfed6e82696f84b023818f72c451384c91d989 |
|
MD5 | 79e4d55a9ce6eb3708991ad2e5698cbc |
|
BLAKE2b-256 | 26a1fd19e0ccbb7875ef4189204e853fb672f708e0e183b166140857d7caecc0 |
Hashes for asyncdb-2.6.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4e5ff7b8ab38c3c60f90aa8856b6dc86a9cdba3ebb9ff9245912e32aaf7c8476 |
|
MD5 | cfe0b95d552c1f3a541f0336398596d2 |
|
BLAKE2b-256 | 5194ab2b1b94a5c16f68b7d02fe39323405e59a63972a9b581412fa8975fe7f5 |
Hashes for asyncdb-2.6.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 12b27acae73e81eb0ef505a73193c8252c9622f421b65504a6d1d7ac6411c649 |
|
MD5 | 760b4c7c65140bebb0e84c3df8238616 |
|
BLAKE2b-256 | a5ca78abe43d614daad2ec9a9bc1e1928f6ad152f13d200e27561533bc0b2877 |