📚 Documentation: Explore the Docs 📖
🔍 Source Code: View on GitHub 💾
PgQueuer is a minimalist, high-performance job queue library for Python, leveraging the robustness of PostgreSQL. Designed for simplicity and efficiency, PgQueuer uses PostgreSQL's LISTEN/NOTIFY to manage job queues effortlessly.
- Simple Integration: Easy to integrate with existing Python applications using PostgreSQL.
-
Efficient Concurrency Handling: Utilizes PostgreSQL's
FOR UPDATE SKIP LOCKED
for reliable and concurrent job processing. -
Real-time Notifications: Leverages
LISTEN
andNOTIFY
for real-time updates on job status changes.
To install PgQueuer, simply install with pip the following command:
pip install PgQueuer
Here's how you can use PgQueuer in a typical scenario processing incoming data messages:
import asyncio
import asyncpg
from PgQueuer.models import Job
from PgQueuer.qm import QueueManager
async def main() -> None:
pool = await asyncpg.create_pool(min_size=2)
qm = QueueManager(pool)
N = 1_000
# Enqueue messages.
for n in range(N):
await qm.queries.enqueue("fetch", f"this is from me: {n}".encode())
@qm.entrypoint("fetch")
async def process_message(job: Job) -> None:
print(f"Processed message: {job}")
await qm.run()
if __name__ == "__main__":
asyncio.run(main())