Clay: Fine-Grained Adaptive Partitioning for General Database Schemas
Summary: Clay is an online partitioner for general schemas with FKs, not limited to tree structures. It uses fine-grained blocks of hot and co-accessed data to balance load and minimize movement, delivering up to 15x throughput and 99% latency reduction. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Marco Serafini (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 2. Rebecca Taft (Massachusetts Institute of Technology)
- 3. Aaron J. Elmore (University of Chicago)
- 4. Andrew Pavlo (Carnegie Mellon University)
- 5. Ashraf Aboulnaga (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 6. Michael Stonebraker (Massachusetts Institute of Technology)
BibTeX Citation
@article{serafini_vldb17,
title = {{Clay: Fine-Grained Adaptive Partitioning for General Database Schemas}},
author = {Serafini, Marco and Taft, Rebecca and Elmore, Aaron J. and Pavlo, Andrew and Aboulnaga, Ashraf and Stonebraker, Michael},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {4},
pages = {445--456},
doi = {10.14778/3025111.3025125},
url = {https://doi.org/10.14778/3025111.3025125},
year = {2017}
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