Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes
Summary: Two-stage hybrid index for main-memory OLTP: a small ingest-first stage, with periodic migration to a compact, read-optimized second stage. DST shows how to convert any order-preserving index into a hybrid index; applied to four structures, achieving up to 70% memory reduction with comparable throughput. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Huanchen Zhang (Carnegie Mellon University)
- 2. Michael Kaminsky (Intel)
- 3. David G. Andersen (Carnegie Mellon University)
- 4. Lin Ma (Carnegie Mellon University)
- 5. Rui Shen (VoltDB)
- 6. Andrew Pavlo (Carnegie Mellon University)
BibTeX Citation
@inproceedings{zhang_sigmod16,
title = {{Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes}},
author = {Zhang, Huanchen and Kaminsky, Michael and Andersen, David G. and Ma, Lin and Shen, Rui and Pavlo, Andrew},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915222},
url = {https://dl.acm.org/doi/10.1145/2882903.2915222},
year = {2016}
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