High-Performance Row Pattern Recognition Using Joins
Summary: Rewrites historical MATCH_RECOGNIZE plans to prefilter rows via joins over selected pattern symbols, then applies the NFA. Cost/cardinality models choose symbols, yielding median speedups of 5.4–57.5× across Trino and SQL Server. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Erkang Zhu (Microsoft)
- 2. Silu Huang (Microsoft)
- 3. Surajit Chaudhuri (Microsoft)
BibTeX Citation
@article{zhu_vldb23,
title = {{High-Performance Row Pattern Recognition Using Joins}},
author = {Zhu, Erkang and Huang, Silu and Chaudhuri, Surajit},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {5},
pages = {1181--1194},
doi = {10.14778/3579075.3579090},
url = {https://doi.org/10.14778/3579075.3579090},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,813 | Democratize MATCH_RECOGNIZE ! | 2025 | VLDB | 5.214913e-05 |
| 10,628 | Sharp: Shared State Reduction for Efficient Matching of Sequential Patterns | 2026 | VLDB | 5.093636e-05 |
| 10,795 | Scalable Complex Event Processing on Video Streams | 2025 | SIGMOD | 5.093636e-05 |
| 10,909 | LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation | 2025 | VLDB | 5.093636e-05 |
| 11,265 | Complex Event Recognition with Symbolic Register Transducers | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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