LayoutPilot: A Lakehouse Physical Design Advisor
Summary: LayoutPilot recommends workload-aware partitioning and intra-file layouts at lakehouse ingestion, avoiding early slowdowns and costly post-ingestion rewrites. An interactive interface exposes evidence, compares candidates, and validates rankings against observed performance. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Guanli Liu (University of Melbourne)
- 2. Andreas Kipf (University of Technology Nuremberg)
- 3. Renata Borovica-Gajic (University of Melbourne)
BibTeX Citation
@article{liu_vldb26,
title = {{LayoutPilot: A Lakehouse Physical Design Advisor}},
author = {Liu, Guanli and Kipf, Andreas and Borovica-Gajic, Renata},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4578--4581},
doi = {10.14778/3827998.3828070},
url = {https://doi.org/10.14778/3827998.3828070},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 950 | Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics | 2021 | CIDR | 0.00012895553 |
| 2,765 | Instance-Optimized Data Layouts for Cloud Analytics Workloads | 2021 | SIGMOD | 8.0439015e-05 |
| 3,762 | Dimensions Based Data Clustering and Zone Maps | 2017 | VLDB | 7.0421949e-05 |
| 6,209 | Automated Multidimensional Data Layouts in Amazon Redshift | 2024 | SIGMOD | 5.8495489e-05 |
| 8,414 | Workload-Aware Incremental Reclustering in Cloud Data Warehouses | 2026 | SIGMOD | 5.3350162e-05 |
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