Looking Ahead Makes Query Plans Robust: Making the Initial Case with In-Memory Star Schema Data Warehouse Workloads
Summary: Defines robustness of query evaluation to the plan space and introduces Lookahead Information Passing (LIP) for in-memory star-schema workloads. LIP narrows execution-time variance across left-deep plans, achieving near-optimal performance for all plans under plausible assumptions; evaluated with skew and correlation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jianqiao Zhu (University of Wisconsin)
- 2. Navneet Potti (University of Wisconsin)
- 3. Saket Saurabh (University of Wisconsin)
- 4. Jignesh M. Patel (University of Wisconsin)
BibTeX Citation
@article{zhu_vldb17,
title = {{Looking Ahead Makes Query Plans Robust: Making the Initial Case with In-Memory Star Schema Data Warehouse Workloads}},
author = {Zhu, Jianqiao and Potti, Navneet and Saurabh, Saket and Patel, Jignesh M.},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {8},
pages = {889--900},
doi = {10.14778/3091483.3091490},
url = {https://doi.org/10.14778/3091483.3091490},
year = {2017}
}
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