Why Pass to io uring on Rust Query Engine Slower Conclusion

Conviva engineers conducted a optimization experiment to improve I/O performance in Rust-based data query engines. They tried to put modern io uring API instead of traditional memory matching technique. However, the result reveals that optimizations in software development can not always provide expected improvements.

Main points of changes:

• MMAP replaced io uring: Asynchronous I/O API was used in the kernel level instead of traditional pageing mechanism
• Performance drop was observed: A significant slowdown was recorded in query processing speed instead of expected improvement
• System complexity increased: io uring implementation, more resources and management needed than the simple and effective structure of MMAP -Belgium access dies have changed: New approach, unmatched output with current workload characteristics

This common situation in technology industry shows that a theoretically more modern solution will not always be superior to practical results. Although io uring is advantageous in many uses, the simplicity and effectiveness of MMAP is preferred in the specific query engine architecture of Conviva.

This experience highlights the critical importance of profiling and benchmarking in system optimization. Developers must choose technology based on measurement data instead of intuitive decisions.