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F3: A Future-Proof Open-Source Data File Format

Forum topic · ✨步子哥 · 2026-02-12

Summary

F3 is an open-source data file format (MIT licensed, presented as a SIGMOD 2026 paper) designed as a next-generation alternative to Parquet. It is built on three core design principles: efficiency through vectorized decoding with read throughput surpassing Parquet; interoperability via self-describing files with cross-platform native compatibility; and extensibility through a generic API supporting custom encodings. Its key technical innovation is embedded WebAssembly decoders: files carry their own decoding logic, allowing even older readers to decode newer encodings, at only a KB-scale storage overhead, solving format evolution and version compatibility problems. F3 also adopts an IOUnit decoupled design that overcomes Parquet's fixed row-group size limitation. Reported advantages include higher read throughput, significantly lower random-access latency, and metadata parsing over 10x faster than Parquet. The project is available on GitHub as future-file-format/F3.

F3: A Future-Proof Open-Source Data File Format

F3 is an open-source data file format, presented as a SIGMOD 2026 paper, aimed at next-generation storage workloads as an evolution beyond Parquet. It is released under the MIT License and hosted on GitHub at future-file-format/F3.

Core Design Principles

  • Efficiency: Vectorized decoding, with read throughput outperforming Parquet.
  • Interoperability: Self-describing files with native cross-platform compatibility.
  • Extensibility: A generic API supporting custom encodings.
  • Key Innovation: Embedded Decoders

    The standout technique is WebAssembly embedding: each file carries its own decoding logic alongside data and metadata (a DATA / META / WASM layering). This means even older readers can decode newer encoding formats, addressing format evolution and version compatibility at only a KB-scale storage overhead.

    Architecture: IOUnit Decoupled Design

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

    Reported Performance Advantages

  • Read throughput: better than Parquet
  • Random-access latency: significantly reduced
  • Metadata parsing: over 10x faster

Summary

By combining vectorized decoding, self-describing interoperable files, extensible custom encodings, and embedded WASM decoders for backward compatibility, F3 positions itself as a future-proof successor to Parquet for modern data analytics pipelines.

Tags

#f3#file-format#parquet#webassembly#data-engineering#open-source#sigmod#columnar-storage

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