Lune

VLDB2025顶会

AnyBlox: A Framework for Self-Decoding Datasets

Mateusz Gienieczko, Maximilian Kuschewski, Thomas Neumann, Viktor Leis, Jana Giceva

2025年份
3被引次数
3顶会引用

摘要

Research advancements in storage formats continuously produce more efficient encodings and better compression rates. Despite this, new formats are not adopted due to high implementation cost and existing formats cannot evolve because they need to maintain compatibility across systems. Can this problem be solved by introducing a new abstraction? We answer affirmatively with AnyBlox, a framework for reading arbitrary datasets using lightweight WebAssembly decoders bundled with the data. By decoupling decoders from both systems and file format specifications, AnyBlox allows transparent format evolution, instance-optimized encodings, and enables mainstream adoption of research advancements. It integrates seamlessly with modern systems like DuckDB, Spark, and Umbra, while delivering solid performance and security guarantees.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper3

问问它们各自怎么用它

它引用的顶会 Paper15

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖