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MIT License
Copyright (c) 2023 Declan Teevan
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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# Request Coalescing in Async Python
## About
This repository is a simple experiment revolved around implementing request coalescing in Python using Asyncio and FastAPI, inspired by the Discord Engineering team's blog post on [How Discord Stores Trillions of Messages.](https://discord.com/blog/how-discord-stores-trillions-of-messages)
## How does it work?
When a client makes a request for an item, as they're name in this demo, of a specific id, it adds a task to the coalescer queue and waits for the result of that task. Any subsequent requests for items of the same ID, in the meantime, will subscribe to the future result of that first pending task instead of performing their own read query.
![Coalescing Diagram](/docs/img-1.png)
## Testing
```bash
> poetry run pytest
tests\test_standard.py Making 5x100 concurrent requests (500 total)...
Standard Requests: Took 457.228ms
Standard Metrics: {'requests': 500, 'db_calls': 500}
tests\test_coalesced.py Making 5x100 concurrent requests (500 total)...
Coalesced Requests: Took 49.328ms
Coalesced Metrics: {'requests': 500, 'db_calls': 100}
```
The number of database queries has fallen from 1:1 with requests to 1 database call per 5 requests (lining up with there being 5 requests being made concurrently in the tests).
## License and Contributing
Please feel free to make pull requests containing any suggestions for improvements.
This repository is open sourced under the [MIT License.](/LICENSE)

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greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
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aiomysql = ["aiomysql", "greenlet (!=0.4.17)"]
aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
asyncio = ["greenlet (!=0.4.17)"]
asyncmy = ["asyncmy (>=0.2.3,!=0.2.4)", "greenlet (!=0.4.17)"]
mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2)"]
mssql = ["pyodbc"]
mssql-pymssql = ["pymssql"]
mssql-pyodbc = ["pyodbc"]
mypy = ["mypy (>=0.910)", "sqlalchemy2-stubs"]
mysql = ["mysqlclient (>=1.4.0)", "mysqlclient (>=1.4.0,<2)"]
mysql-connector = ["mysql-connector-python"]
oracle = ["cx-oracle (>=7)", "cx-oracle (>=7,<8)"]
postgresql = ["psycopg2 (>=2.7)"]
postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
postgresql-pg8000 = ["pg8000 (>=1.16.6,!=1.29.0)"]
postgresql-psycopg2binary = ["psycopg2-binary"]
postgresql-psycopg2cffi = ["psycopg2cffi"]
pymysql = ["pymysql", "pymysql (<1)"]
sqlcipher = ["sqlcipher3-binary"]
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name = "starlette"
version = "0.27.0"
description = "The little ASGI library that shines."
optional = false
python-versions = ">=3.7"
files = [
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full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
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h11 = ">=0.8"
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[metadata]
lock-version = "2.0"
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26
pyproject.toml Normal file
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[tool.poetry]
name = "request-coalescing-py"
version = "0.1.0"
description = "A simple demonstration of request coalescing in asynchronous Python."
authors = ["Declan <declan@hexolan.dev>"]
readme = "README.md"
[tool.poetry.dependencies]
python = "^3.8"
fastapi = "^0.103.2"
pydantic = "^2.4.2"
databases = {extras = ["sqlite"], version = "^0.8.0"}
uvicorn = "^0.23.2"
[tool.poetry.group.dev.dependencies]
httpx = "^0.25.0"
pytest = "^7.4.2"
asgi-lifespan = "^2.1.0"
[tool.pytest.ini_options]
minversion = "7.0"
addopts = "--capture=tee-sys -p no:cacheprovider"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

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import asyncio
from typing import Optional
from request_coalescing_py.models import Item
from request_coalescing_py.database import DatabaseRepo
class CoalescingRepo:
def __init__(self, repo: DatabaseRepo):
self._repo = repo
self._queue = asyncio.Queue()
self._queued = {} # map of item_id: future
async def get_by_id(self, item_id: int) -> "asyncio.Future[Optional[Item]]":
# Check if there is an already pending request for that item.
fut = self._queued.get(item_id)
if fut:
return fut
# There is not a pending request.
fut = asyncio.get_event_loop().create_future()
self._queued[item_id] = fut
await self._queue.put(item_id)
return fut
async def process_queue(self) -> None:
while True:
item_id = await self._queue.get()
item = await self._repo.get_by_id(item_id)
self._queued[item_id].set_result(item)
del self._queued[item_id]
self._queue.task_done()

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import asyncio
from typing import Optional
from fastapi import FastAPI
from databases import Database
from request_coalescing_py.models import Item
class DatabaseRepo:
def __init__(self, app: FastAPI) -> None:
self.app = app
async def start_db(self) -> None:
self._db = Database("sqlite://./test.db")
await self._db.connect()
try:
await self._db.execute(query="CREATE TABLE IF NOT EXISTS 'items' (id INTEGER PRIMARY KEY, name TEXT)")
await self._db.execute(query="INSERT INTO 'items' (id, name) VALUES (1, 'Test Item')")
except Exception:
pass
async def stop_db(self) -> None:
await self._db.disconnect()
async def get_by_id(self, item_id: int) -> Optional[Item]:
self.app.state.metrics["db_calls"] += 1
# Simulate expensive read (50ms)
await asyncio.sleep(.05)
row = await self._db.fetch_one(query="SELECT * FROM 'items' WHERE id = :id", values={"id": item_id})
if row:
return Item(**row._mapping)
return None

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import asyncio
from fastapi import FastAPI
from request_coalescing_py.database import DatabaseRepo
from request_coalescing_py.coalescer import CoalescingRepo
from request_coalescing_py.routes import router
app = FastAPI()
@app.on_event("startup")
async def startup_event():
# initialise metrics
app.state.DEFAULT_METRICS = {"requests": 0, "db_calls": 0}
app.state.metrics = app.state.DEFAULT_METRICS.copy()
# initilise DB repository
app.state.repo = DatabaseRepo(app=app)
await app.state.repo.start_db()
# initialise worker and coalescing repo
app.state.coalescer = CoalescingRepo(repo=app.state.repo)
asyncio.create_task(app.state.coalescer.process_queue())
@app.on_event("shutdown")
async def shutdown_event():
# close DB connection
await app.state.repo.stop_db()
app.include_router(router)

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from pydantic import BaseModel
class Item(BaseModel):
id: int
name: str

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@@ -0,0 +1,40 @@
from fastapi import APIRouter, Request, HTTPException
from request_coalescing_py.models import Item
router = APIRouter()
@router.get("/metrics")
def view_metrics(request: Request) -> dict:
return request.app.state.metrics
@router.post("/metrics")
def view_and_reset_metrics(request: Request) -> dict:
metrics = request.app.state.metrics
request.app.state.metrics = request.app.state.DEFAULT_METRICS.copy()
return metrics
@router.get("/standard/{item_id}")
async def get_standard_route(request: Request, item_id: int) -> Item:
request.app.state.metrics["requests"] += 1
item = await request.app.state.repo.get_by_id(item_id)
if item is None:
raise HTTPException(status_code=404, detail="Item Not Found")
return item
@router.get("/coalesced/{item_id}")
async def get_coalesced_route(request: Request, item_id: int) -> Item:
request.app.state.metrics["requests"] += 1
item_future = await request.app.state.coalescer.get_by_id(item_id)
item = await item_future
if item is None:
raise HTTPException(status_code=404, detail="Item Not Found")
return item

0
tests/__init__.py Normal file
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24
tests/conftest.py Normal file
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import pytest
from fastapi import FastAPI
from httpx import AsyncClient
from asgi_lifespan import LifespanManager
from request_coalescing_py.main import app
from request_coalescing_py.models import Item
@pytest.fixture
def anyio_backend() -> str:
return "asyncio"
@pytest.fixture(scope="function")
async def test_app() -> FastAPI:
async with LifespanManager(app) as manager:
yield manager.app
@pytest.fixture(scope="function")
async def client(test_app) -> AsyncClient:
async with AsyncClient(app=test_app, base_url="http://test") as client:
yield client

25
tests/test_coalesced.py Normal file
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import asyncio
from datetime import datetime
import pytest
@pytest.mark.anyio
async def test_coalesced_requests(client) -> None:
print("Making 5x100 concurrent requests (500 total)...")
async def make_requests():
for _ in range(100):
response = await client.get("/coalesced/1")
assert response.status_code == 200
# Make the requests concurrently and wait until they complete
start_time = datetime.now()
tasks = [asyncio.create_task(make_requests()) for _ in range(5)]
for task in tasks:
await task
print("Coalesced Requests: Took {delta}ms".format(delta=(datetime.now() - start_time).microseconds / 1000))
# View the metrics
metrics = await client.get("/metrics")
print("Coalesced Metrics:", metrics.json())

25
tests/test_standard.py Normal file
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import asyncio
from datetime import datetime
import pytest
@pytest.mark.anyio
async def test_standard_requests(client) -> None:
print("Making 5x100 concurrent requests (500 total)...")
async def make_requests():
for _ in range(100):
response = await client.get("/standard/1")
assert response.status_code == 200
# Make the requests concurrently and wait until they complete
start_time = datetime.now()
tasks = [asyncio.create_task(make_requests()) for _ in range(5)]
for task in tasks:
await task
print("Standard Requests: Took {delta}ms".format(delta=(datetime.now() - start_time).microseconds / 1000))
# View the metrics
metrics = await client.get("/metrics")
print("Standard Metrics:", metrics.json())