The TEXTURE Benchmark: Measuring Performance of Text Queries on a Relational DBMS
Summary: TEXTURE benchmarks efficiency—not relevance quality—of ranked text queries embedded in relational workloads. It uniquely mixes text and relational operators and provides a validated generator for scalable, seed-faithful synthetic text collections. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vuk Ercegovac (University of Wisconsin)
- 2. David J. DeWitt (University of Wisconsin)
- 3. Raghu Ramakrishnan (University of Wisconsin)
BibTeX Citation
@article{ercegovac_vldb05,
title = {{The TEXTURE Benchmark: Measuring Performance of Text Queries on a Relational DBMS}},
author = {Ercegovac, Vuk and DeWitt, David J. and Ramakrishnan, Raghu},
journal = {PVLDB},
series = {{VLDB} '05},
year = {2005}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,744 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD | 8.1781662e-05 |
| 3,404 | Data Generation for Application-Specific Benchmarking | 2011 | VLDB | 7.4411075e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 105 | Quickly Generating Billion-Record Synthetic Databases | 1994 | SIGMOD | 0.00033877899 |
| 1,059 | On B-tree Indices for Skewed Distributions | 1992 | VLDB | 0.00012377809 |
| 1,407 | Fast Incremental Indexing for Full-Text Information Retrieval | 1994 | VLDB | 0.00010856546 |
| 3,469 | Extended User-Defined Indexing with Application to Textual Databases | 1988 | VLDB | 7.3893582e-05 |
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