Fundamentals of Order Dependencies
Summary: Introduces order dependencies (ODs) for lexicographically ordered tuple sets and a complete, sound axiom system. Demonstrates that FDs are subsumed by ODs and uses OD-based rewrites for query optimization; proves the axiom system's completeness and derives several theorems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jaroslaw Szlichta
- 2. Parke Godfrey
- 3. Jarek Gryz
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,473 | Data Profiling – A Tutorial | 2017 | SIGMOD | 7.0623537e-05 |
| 4,740 | Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization | 2017 | VLDB | 5.9515736e-05 |
| 6,759 | Fast Incremental Discovery of Pointwise Order Dependencies | 2020 | VLDB | 4.933198e-05 |
| 7,259 | Expressiveness and Complexity of Order Dependencies | 2013 | VLDB | 4.7815192e-05 |
| 8,470 | Rapidash: Efficient Detection of Constraint Violations | 2024 | VLDB | 4.4993203e-05 |
| 8,739 | CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning | 2024 | SIGMOD | 4.4520434e-05 |
| 8,836 | Fast Approximate Denial Constraint Discovery | 2023 | VLDB | 4.4350633e-05 |
| 9,748 | Efficient Differential Dependency Discovery | 2024 | VLDB | 4.2856385e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1 | Access Path Selection in a Relational Database Management System | 1979 | SIGMOD | 0.0040465394 |
| 904 | Fundamental Techniques for Order Optimization | 1996 | SIGMOD | 0.00015425636 |
| 3,880 | Applying Approximate Order Dependency to Reduce Indexing Space | 1982 | SIGMOD | 6.6639072e-05 |
| 4,052 | Optimizing Nested Queries with Parameter Sort Orders | 2005 | VLDB | 6.4923e-05 |
| 4,403 | Implementation of Two Semantic Query Optimization Techniques in DB2 Universal Database | 1999 | VLDB | 6.2054188e-05 |
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