Accio: Bolt-on Query Federation

Data scientists today often need to analyze data from various places. This makes it necessary for corresponding engines to support query federation (i.e., the ability to perform SQL queries over data hosted in different sources). Although many systems come with federation capabilities, their implementations are tightly coupled with the core engine design. This not only increases complexity and reduces portability across engines, but also often leads to performance issues by missing optimization opportunities. This paper proposes Accio, a new "bolt-on" approach to query federation. Accio is a middleware library that decouples query federation from the target system. It enables two key optimizations—join pushdown and query partitioning—via a declarative interface that can be easily leveraged by different engines. Our experience of adapting five popular data science query engines shows that Accio can outperform existing approaches by orders of magnitude in various scenarios without the need for any intrusive changes or extra maintenance.

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Publication Details

Journal
Proceedings of the VLDB Endowment
Published
2025-03-01
DOI
https://doi.org/10.14778/3734839.3734849
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
0.00
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article

Accio: Bolt-on Query Federation

Xiaoying Wang, Yong Zhang, Jiannan Wang, Tianzheng Wang
1 links
Proceedings of the VLDB Endowment
Advanced Database Systems and Queries
article

Accio: Bolt-on Query Federation

Xiaoying Wang, Yong Zhang, Jiannan Wang, Tianzheng Wang
article en

Abstract

Data scientists today often need to analyze data from various places. This makes it necessary for corresponding engines to support query federation (i.e., the ability to perform SQL queries over data hosted in different sources). Although many systems come with federation capabilities, their implementations are tightly coupled with the core engine design. This not only increases complexity and reduces portability across engines, but also often leads to performance issues by missing optimization opportunities. This paper proposes Accio, a new "bolt-on" approach to query federation. Accio is a middleware library that decouples query federation from the target system. It enables two key optimizations—join pushdown and query partitioning—via a declarative interface that can be easily leveraged by different engines. Our experience of adapting five popular data science query engines shows that Accio can outperform existing approaches by orders of magnitude in various scenarios without the need for any intrusive changes or extra maintenance.

Proceedings of the VLDB EndowmentVol. 18(7)
Simon Fraser University (CA), Huawei Technologies (United Kingdom) (GB)
Openalex Percentile: Top 74%
Advanced Database Systems and Queries
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