Skip to search boxSkip to navigationSkip to main content

Flexible I/O for Database Management Systems with xNVMe

  • Emil Houlborg
    ,
  • Andreas Nicolaj Tietgen
    ,
  • Simon A. F. Lund
    ,
  • Marcel Weisgut
    ,
  • Tilmann Rabl
    ,
  • Javier Gonzalez
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Research
Peer-review

Open access

Abstract

Today, NVMe SSDs cover a diverse family of devices (e.g., Zoned Namespaces, Flexible Data Placement, and Key-Value SSDs) and offer high performance (microsecond-scale latency). To leverage the capabilities of these devices, a variety of I/O paths are available (e.g., libaio, io_uring, and SPDK). On the other hand, to avoid the challenges and unpredictability that comes with writing code to target such diversity, most data systems today still rely on the conventional filesystem APIs (POSIX) and synchronous IO. While (maybe) increasing programmer productivity, this choice leads to sub-optimal utilization of the modern NVMe storage.
To unify the diverse I/O storage paths and make them more accessible to a wider-scale of programmers, Samsung built xNVMe that exposes a single message-passing API with minimal overhead. This paper takes the next step and integrates xNVMe into a state-of-the-art database system, DuckDB, by creating a new filesystem extension, nvmefs, that interacts with blocks on disk instead of files. We demonstrate that xNVMe integration allows DuckDB to utilize IO Passthru, SPDK, and Flexible Data Placement. Using these modern I/O methods, compared to DuckDB’s default sync I/O, nvmefs achieves either comparable performance for non-I/O-intensive cases or up to 50% lower query times on I/O-intensive queries.

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Research
Peer-review

Original language

English

Publication milestones

  • Published - 2026

Publication status

Published - 2026

Host publication title

Conference on Innovative Data Systems Research

Related Event

Title

Conference on Innovative Data Systems Research

Event type

Conference

Degree of recognition

International event

Date

18/01/2026 - 21/01/2026

Location

Santa CruzUnited States