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Analyzing Python asyncio Primitive Limitations for Shared State Coordination

By

goodoldneon

2mo ago· 13 min readenInsight

Summary

This technical article examines the limitations of Python's asyncio primitives (Event and Condition) for managing shared state in concurrent programming. The author shares insights from building Inngest's Python SDK, where they encountered issues coordinating multiple async handlers around WebSocket connection state. The article systematically analyzes each primitive's shortcomings under real concurrency pressure, explores attempted solutions using Event, Condition, and Queue, and presents a working pattern that handles all edge cases. It's a deep technical dive into async programming challenges with practical solutions.

Key quotes

· 5 pulled
Coordinating concurrent tasks around shared state is one of the most common problems in Python's asyncio.
The standard library gives you asyncio.Event and asyncio.Condition, but each has a gap that only shows up under real concurrency pressure.
We hit this while building Inngest's Python SDK, where multiple async handlers coordinate around WebSocket connection state.
This post works through each primitive, shows exactly where it breaks, and iterates toward a solution that handles every case we threw at it.
We tried Event, Condition, and Queue. Each one gets closer but still breaks under real concurrency. Here's the observable pattern that finally works.
Snippet from the RSS feed
We tried Event, Condition, and Queue. Each one gets closer but still breaks under real concurrency. Here's the observable pattern that finally works.

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