aiodynamo

aiodynamo

Asynchronous, fast, pythonic DynamoDB Client

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AsyncIO DynamoDB is an asynchronous pythonic client for DynamoDB, designed for asynchronous apps. It is two times faster than aiobotocore, botocore, or boto3 for operations like query or scan. The library provides a pythonic API with modern Python features, automatically depaginates paginated APIs using asynchronous iterators. The source code is legible and hand-written, allowing for easy inspection and understanding. It offers a pluggable HTTP client, enabling integration with existing asynchronous HTTP clients without additional dependencies or dependency resolution issues.

README:

AsyncIO DynamoDB

CircleCI Code style: black Documentation Status

Asynchronous pythonic DynamoDB client; 2x faster than aiobotocore/boto3/botocore.

Quick start

With httpx

Install this library

pip install "aiodynamo[httpx]" or, for poetry users poetry add aiodynamo -E httpx

Connect to DynamoDB

from aiodynamo.client import Client
from aiodynamo.credentials import Credentials
from aiodynamo.http.httpx import HTTPX
from httpx import AsyncClient

async def main():
    async with AsyncClient() as h:
        client = Client(HTTPX(h), Credentials.auto(), "us-east-1")

With aiohttp

Install this library

pip install "aiodynamo[aiohttp]" or, for poetry users poetry add aiodynamo -E aiohttp

Connect to DynamoDB

from aiodynamo.client import Client
from aiodynamo.credentials import Credentials
from aiodynamo.http.aiohttp import AIOHTTP
from aiohttp import ClientSession

async def main():
    async with ClientSession() as session:
        client = Client(AIOHTTP(session), Credentials.auto(), "us-east-1")

API use

from aiodynamo.client import Client
from aiodynamo.expressions import F
from aiodynamo.models import Throughput, KeySchema, KeySpec, KeyType

async def main(client: Client):
    table = client.table("my-table")

    # Create table if it doesn't exist
    if not await table.exists():
        await table.create(
            Throughput(read=10, write=10),
            KeySchema(hash_key=KeySpec("key", KeyType.string)),
        )

    # Create or override an item
    await table.put_item({"key": "my-item", "value": 1})
    # Get an item
    item = await table.get_item({"key": "my-item"})
    print(item)
    # Update an item, if it exists.
    await table.update_item(
        {"key": "my-item"}, F("value").add(1), condition=F("key").exists()
    )

Why aiodynamo

  • boto3 and botocore are synchronous. aiodynamo is built for asynchronous apps.
  • aiodynamo is fast. Two times faster than aiobotocore, botocore or boto3 for operations such as query or scan.
  • aiobotocore is very low level. aiodynamo provides a pythonic API, using modern Python features. For example, paginated APIs are automatically depaginated using asynchronous iterators.
  • Legible source code. botocore and derived libraries generate their interface at runtime, so it cannot be inspected and isn't typed. aiodynamo is hand written code you can read, inspect and understand.
  • Pluggable HTTP client. If you're already using an asynchronous HTTP client in your project, you can use it with aiodynamo and don't need to add extra dependencies or run into dependency resolution issues.

Complete documentation is here

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