FishStore: Faster Ingestion with Subset Hashing
Summary: FishStore proposes a latch-free storage layer for schema-flexible ingested data, using multi-chain hashing over predicated subsets. Predicated subset hashing enables broad query coverage with high concurrency, low-cost ingestion/retrieval versus state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dong Xie (Microsoft; University of Utah)
- 2. Badrish Chandramouli (Microsoft)
- 3. Yinan Li (Microsoft)
- 4. Donald Kossmann (Microsoft)
BibTeX Citation
@inproceedings{xie_sigmod19,
title = {{FishStore: Faster Ingestion with Subset Hashing}},
author = {Xie, Dong and Chandramouli, Badrish and Li, Yinan and Kossmann, Donald},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319896},
url = {https://dl.acm.org/doi/10.1145/3299869.3319896},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,069 | JSON Tiles: Fast Analytics on Semi-Structured Data | 2021 | SIGMOD | 6.9276175e-05 |
| 7,164 | FishStore: Fast Ingestion and Indexing of Raw Data | 2019 | VLDB | 5.6848225e-05 |
| 10,067 | Shared Load(ing): Efficient Bulk Loading into Optimized Storage | 2020 | CIDR | 5.1643809e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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