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F3: A Future-Proof Open Source Data File Format (SIGMOD 2026)

Forum topic · ✨步子哥 · 2026-02-12

Summary

F3 is an open source (MIT-licensed) data file format presented as a SIGMOD 2026 paper, designed around three core principles: efficiency through vectorized decoding with throughput exceeding Apache Parquet, interoperability via self-describing files that are natively compatible across platforms, and extensibility through generic APIs supporting custom encodings. Its key innovation is embedded WebAssembly decoders: files carry their own decoding logic (at KB-level storage overhead), so even older readers can decode data written with newer encodings, solving format evolution and version compatibility problems. Architecturally, F3 decouples storage into IOUnits, removing Parquet's fixed row-group size limitation. Reported advantages include higher read throughput than Parquet, significantly reduced random-access latency, and metadata parsing more than 10x faster. Source is available at github.com/future-file-format/F3.

F3 is a future-oriented open source data file format, presented as a SIGMOD 2026 paper. It is released under the MIT License, with source code at github.com/future-file-format/F3.

Core Design Principles

  • Efficiency — Vectorized decoding, with throughput better than Parquet.
  • Interoperability — Self-describing files with native cross-platform compatibility.
  • Extensibility — Generic APIs that support custom encodings.
  • Key Innovation: Embedded Decoders (WebAssembly)

    F3 files carry their own decoding logic as an embedded WebAssembly module layered alongside metadata and data. This means:

  • Old readers can still read files written with new encodings.
  • Storage overhead is minimal (only KB-level).
  • It fundamentally solves the format-evolution and version-compatibility problem that plagues existing columnar formats.

Architecture: IOUnit Decoupled Design

F3 decouples storage into IOUnits, removing Parquet's fixed row-group size limitation.

Performance Highlights (per the post)

| Metric | Result | |---|---| | Read throughput | Better than Parquet | | Random-access latency | Significantly lower | | Metadata parsing | 10x+ faster |

Summary

F3 combines vectorized decoding, self-description, embedded WASM decoders, and IOUnit-based storage to target next-generation storage workloads while remaining open source and backward compatible.

Tags

#data-format#f3#parquet#webassembly#open-source#sigmod-2026#storage#vectorized-decoding

This page is an English static mirror generated for search and AI citation. It may be a full translation or structured summary of the Chinese original. Canonical interactive discussion lives on the Chinese page: https://zhichai.net/topic/176922703