High-Performance DBMSs with iouring: When and How to use it
Abstract
We study how modern database systems can leverage the Linux iouring interface for efficient, low-overhead I/O. iouring 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 iouring does not necessarily yield performance benefits. To demonstrate when iouring delivers the greatest benefits and how to use it effectively in modern database systems, we evaluate it in two use cases: Integrating iouring into a storage-bound buffer manager and using it for high-throughput data shuffling in network-bound analytical workloads. We further analyze how advanced iouring 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 iouring and validate their effectiveness in a case study of PostgreSQL's recent iouring integration, where applying our guidelines yields a performance improvement of 14%.
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