Storing and Indexing Multiple Tables by Interesting Orderings: For Efficient Joins, Groupings, and Updates in Relational Databases
Summary: Generalizes merged indexes into order-sharing pipelines for joins and groupings, using interesting orderings to partially precompute multi-table processing. Delivers near-materialized-view query speed while retaining traditional single-table index update performance and lower storage costs. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Wenhui Lyu (University of Wisconsin)
- 2. Goetz Graefe (Google)
BibTeX Citation
@article{lyu_vldb26,
title = {{Storing and Indexing Multiple Tables by Interesting Orderings: For Efficient Joins, Groupings, and Updates in Relational Databases}},
author = {Lyu, Wenhui and Graefe, Goetz},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {11},
pages = {3621--3634},
doi = {10.14778/3836663.3836713},
url = {https://doi.org/10.14778/3836663.3836713},
year = {2026}
}
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