Asynchronous interface for peewee ORM powered by asyncio

Overview

peewee-async

Asynchronous interface for peewee ORM powered by asyncio.

Build Status PyPi Version Documentation Status

Important notes

  • Since version 0.6.0a only peewee 3.5+ is supported
  • If you still need Python 3.4 support use older versions, i.e. pip install peewee-async==0.5.12

Version 0.6.0a is published as pre-release, mind the "a" in version identifier. That means in order to install it you should specify --pre flag for pip.

Overview

  • Requires Python 3.5+
  • Has support for PostgreSQL via aiopg
  • Has support for MySQL via aiomysql
  • Single point for high-level async API
  • Drop-in replacement for sync code, sync will remain sync
  • Basic operations are supported
  • Transactions support is present, yet not heavily tested

The complete documentation:
http://peewee-async.readthedocs.io

Install

Install with pip for PostgreSQL:

pip install --pre peewee-async; pip install aiopg

or for MySQL:

pip install --pre peewee-async; pip install aiomysql

Quickstart

Create 'test' PostgreSQL database for running this snippet:

createdb -E utf-8 test

The code below is using new Python 3.5 async / await syntax, but older yield from will also work!

import asyncio
import peewee
import peewee_async

# Nothing special, just define model and database:

database = peewee_async.PostgresqlDatabase(
    database='db_name',
    user='user',
    host='127.0.0.1',
    port='5432',
    password='password'
)

class TestModel(peewee.Model):
    text = peewee.CharField()

    class Meta:
        database = database

# Look, sync code is working!

TestModel.create_table(True)
TestModel.create(text="Yo, I can do it sync!")
database.close()

# Create async models manager:

objects = peewee_async.Manager(database)

# No need for sync anymore!

database.set_allow_sync(False)

async def handler():
    await objects.create(TestModel, text="Not bad. Watch this, I'm async!")
    all_objects = await objects.execute(TestModel.select())
    for obj in all_objects:
        print(obj.text)

loop = asyncio.get_event_loop()
loop.run_until_complete(handler())
loop.close()

# Clean up, can do it sync again:
with objects.allow_sync():
    TestModel.drop_table(True)

# Expected output:
# Yo, I can do it sync!
# Not bad. Watch this, I'm async!

Documentation

http://peewee-async.readthedocs.io

Discuss

You are welcome to add discussion topics or bug reports to tracker on GitHub: https://github.com/05bit/peewee-async/issues

License

Copyright (c) 2014, Alexey Kinev [email protected]

Licensed under The MIT License (MIT), see LICENSE file for more details.

Owner
05Bit
Our open sourced libs we use in production. You are welcome to use and contribute too!
05Bit
MongoX is an async python ODM for MongoDB which is built on top Motor and Pydantic.

MongoX MongoX is an async python ODM (Object Document Mapper) for MongoDB which is built on top Motor and Pydantic. The main features include: Fully t

Amin Alaee 112 Dec 04, 2022
The Database Toolkit for Python

SQLAlchemy The Python SQL Toolkit and Object Relational Mapper Introduction SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that giv

SQLAlchemy 6.5k Jan 01, 2023
This is a repository for a task assigned to me by Bilateral solutions!

Processing-Files-using-MySQL This is a repository for a task assigned to me by Bilateral solutions! Task: Make Folders named Processing,queue and proc

Kandal Khandeka 1 Nov 07, 2022
Anomaly detection on SQL data warehouses and databases

With CueObserve, you can run anomaly detection on data in your SQL data warehouses and databases. Getting Started Install via Docker docker run -p 300

Cuebook 171 Dec 18, 2022
A Python DB-API and SQLAlchemy dialect to Google Spreasheets

Note: shillelagh is a drop-in replacement for gsheets-db-api, with many additional features. You should use it instead. If you're using SQLAlchemy all

Beto Dealmeida 185 Jan 01, 2023
Python PostgreSQL database performance insights. Locks, index usage, buffer cache hit ratios, vacuum stats and more.

Python PG Extras Python port of Heroku PG Extras with several additions and improvements. The goal of this project is to provide powerful insights int

Paweł Urbanek 35 Nov 01, 2022
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

dataset: databases for lazy people In short, dataset makes reading and writing data in databases as simple as reading and writing JSON files. Read the

Friedrich Lindenberg 4.2k Jan 02, 2023
a small, expressive orm -- supports postgresql, mysql and sqlite

peewee Peewee is a simple and small ORM. It has few (but expressive) concepts, making it easy to learn and intuitive to use. a small, expressive ORM p

Charles Leifer 9.7k Dec 30, 2022
Redis client for Python asyncio (PEP 3156)

Redis client for Python asyncio. Redis client for the PEP 3156 Python event loop. This Redis library is a completely asynchronous, non-blocking client

Jonathan Slenders 554 Dec 04, 2022
Python script to clone SQL dashboard from one workspace to another

Databricks dashboard clone Unofficial project to allow Databricks SQL dashboard copy from one workspace to another. Resource clone Setup: Create a fil

Quentin Ambard 12 Jan 01, 2023
MySQLdb is a Python DB API-2.0 compliant library to interact with MySQL 3.23-5.1 (unofficial mirror)

==================== MySQLdb Installation ==================== .. contents:: .. Prerequisites ------------- + Python 2.3.4 or higher * http://ww

Sébastien Arnaud 17 Oct 10, 2021
Creating a python package to convert /transfer excelsheet data to a mysql Database Table

Creating a python package to convert /transfer excelsheet data to a mysql Database Table

Odiwuor Lameck 1 Jan 07, 2022
Micro ODM for MongoDB

Beanie - is an asynchronous ODM for MongoDB, based on Motor and Pydantic. It uses an abstraction over Pydantic models and Motor collections to work wi

Roman 993 Jan 03, 2023
SAP HANA Connector in pure Python

SAP HANA Database Client for Python A pure Python client for the SAP HANA Database based on the SAP HANA Database SQL Command Network Protocol. pyhdb

SAP 299 Nov 20, 2022
Pandas Google BigQuery

pandas-gbq pandas-gbq is a package providing an interface to the Google BigQuery API from pandas Installation Install latest release version via conda

Python for Data 345 Dec 28, 2022
A framework based on tornado for easier development, scaling up and maintenance

turbo 中文文档 Turbo is a framework for fast building web site and RESTFul api, based on tornado. Easily scale up and maintain Rapid development for RESTF

133 Dec 06, 2022
Prometheus instrumentation library for Python applications

Prometheus Python Client The official Python 2 and 3 client for Prometheus. Three Step Demo One: Install the client: pip install prometheus-client Tw

Prometheus 3.2k Jan 07, 2023
PyRemoteSQL is a python SQL client that allows you to connect to your remote server with phpMyAdmin installed.

PyRemoteSQL Python MySQL remote client Basically this is a python SQL client that allows you to connect to your remote server with phpMyAdmin installe

ProbablyX 3 Nov 04, 2022
aiosql - Simple SQL in Python

aiosql - Simple SQL in Python SQL is code. Write it, version control it, comment it, and run it using files. Writing your SQL code in Python programs

Will Vaughn 1.1k Jan 08, 2023
Python DBAPI simplified

Facata A Python library that provides a simplified alternative to DBAPI 2. It provides a facade in front of DBAPI 2 drivers. Table of Contents Install

Tony Locke 44 Nov 17, 2021