Someone is always getting blocked
Summary
The asynchronous I/O model fundamentally involves offloading blocking read operations to another entity, typically the kernel, which ultimately performs the synchronous task. This means that while an application might appear asynchronous, the underlying system still handles synchronous operations, effectively "paying the price" for blocking. NodeJS is noted for supporting I/O ranging, a concept relevant to managing these operations. Prior to version 18, PostgreSQL handled client connections by spinning up a dedicated process, referred to as a "backend" in PostgreSQL terminology, for each new client session. This "backend" is a specific process created upon connection, distinct from an application's backend.
Key takeaway
For software engineers optimizing backend infrastructure, understanding that asynchronous I/O merely offloads synchronous blocking operations to the kernel is crucial for debugging performance bottlenecks. If you are working with PostgreSQL, be aware that prior to version 18, each client connection created a dedicated "backend" process. This distinction is vital for correctly interpreting resource usage and scaling strategies, especially when integrating with systems like NodeJS that manage I/O ranging.
Key insights
True asynchronous I/O offloads blocking tasks to a lower layer, like the kernel, which still performs synchronous operations.
Principles
- All I/O is synchronous at some level.
- Asynchronous models offload blocking.
- PostgreSQL "backend" means a dedicated process.
In practice
- Understand kernel's role in async I/O.
- Differentiate PostgreSQL's "backend" term.
- Consider NodeJS's I/O ranging support.
Topics
- Asynchronous I/O
- Kernel Operations
- PostgreSQL
- NodeJS
- Database Connections
- Backend Processes
Best for: Software Engineer, Data Engineer, DevOps Engineer
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Editorial summary, takeaway, and curation by AIssential. Original article published by Hussein Nasser.