We study how modern database systems can leverage the Linux io_uring interface for efficient, low-overhead I/O. io_uring is an asynchronous system call batching interface that unifies storage and network operations, addressing limitations of existing Linux I/O interfaces. However, naively replacing traditional I/O interfaces with io_uring does not necessarily yield performance benefits. To demonstrate when io_uring delivers the greatest benefits and how to use it effectively in modern database systems, we evaluate it in two use cases: Integrating io_uring into a storage-bound buffer manager and using it for high-throughput data shuffling in network-bound analytical workloads. We further analyze how advanced io_uring features, such as registered buffers and passthrough I/O, affect end-to-end performance. Our study shows when low-level optimizations translate into tangible system-wide gains and how architectural choices influence these benefits. Building on these insights, we derive practical guidelines for designing I/O-intensive systems using io_uring and validate their effectiveness in a case study of PostgreSQL's recent io_uring integration, where applying our guidelines yields a performance improvement of 14%.
翻译:本研究探讨了现代数据库系统如何利用Linux io_uring接口实现高效、低开销的I/O操作。io_uring是一种异步系统调用批处理接口,它统一了存储与网络操作,解决了现有Linux I/O接口的局限性。然而,简单地用io_uring替代传统I/O接口未必能带来性能提升。为阐明io_uring在何种场景下效益最大及其在现代数据库系统中的有效使用方法,我们在两个用例中进行评估:将io_uring集成至存储受限的缓冲管理器,以及将其用于网络受限分析工作负载中的高吞吐量数据混洗。我们进一步分析了io_uring的高级特性(如注册缓冲区和透传I/O)如何影响端到端性能。研究表明,低层优化何时能转化为系统级的实质性收益,以及架构选择如何影响这些收益。基于这些发现,我们提出了使用io_uring设计I/O密集型系统的实用准则,并在PostgreSQL最新io_uring集成的案例研究中验证其有效性——应用该准则后系统性能提升了14%。