stac-utils / stac-utils/stac-fastapi
mangum does not cache database connection pools
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- Dominant language
- Python
- Stars
- 324
- Forks
- 126
- Avg merge
- 1d 22h
- Merged PRs (30d)
- 10
Description
It appears that mangum runs ASGI lifecycle events (startup, shutdown etc.) on each lambda function invocation instead of run once and cached. This adds an extra ~200ms of runtime to each invocation and can exhaust available database connections unless lambda is calling through a proxy (ex. RDS Proxy) configured to aggressively drop idle connections.
This seems to fix the problem for pgstac:
# app.py
async def connect_to_database(settings: Settings):
db = DB()
logger.info("Connecting to database.")
readpool = await db.create_pool(settings.reader_connection_string, settings)
writepool = await db.create_pool(settings.writer_connection_string, settings)
logger.info("Succesfully connected to database.")
return readpool, writepool
# Define read/write pool in global scope, lambda will cache across invocations.
loop = asyncio.get_event_loop()
READPOOL, WRITEPOOL = loop.run_until_complete(connect_to_database(settings))
# Update startup event.
# Also need to delete the shutdown event.
@app.on_event("startup")
async def startup_event():
"""Connect to database on startup."""
app.state.readpool = READPOOL
app.state.writepool = WRITEPOOL
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start from the app.py lifecycle example and trace how FastAPI startup and shutdown events are invoked for each Lambda invocation. Reproduce or inspect the connection-pool behavior across invocations, then verify that pools persist when appropriate and lifecycle setup is not repeated unnecessarily.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, fastapi, python
- Domain
- api, backend, cloud, databases
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100