NEXT: A New Secondary Index Framework for LSM-based Data Storage
Summary: NEXT is a two-level secondary index for LSM-based KV stores, integrated with the primary table to accelerate non-key attribute queries. It uses per-disk-component index blocks plus a global index to steer lookups to the correct blocks, reducing primary-table fetches and improving consistency; validated on RocksDB with gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiachen Shi (Nanyang Technological University)
- 2. Jingyi Yang (Nanyang Technological University)
- 3. Gao Cong (Nanyang Technological University)
- 4. Xiaoli Li (Agency for Science, Technology and Research; Institute for Infocomm Research; Nanyang Technological University)
BibTeX Citation
@inproceedings{shi_sigmod25,
title = {{NEXT: A New Secondary Index Framework for LSM-based Data Storage}},
author = {Shi, Jiachen and Yang, Jingyi and Cong, Gao and Li, Xiaoli},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725330},
url = {https://dl.acm.org/doi/10.1145/3725330},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,134 | A Multi-tenant Relational OLTP Database at Salesforce | 2026 | CIDR | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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