EROC: A Toolkit for Building NEATO Query Optimizers
Summary: EROC is a reusable C++ toolkit whose extensible components cover predicates, operators, properties, catalogs, equivalence rules, and search—not just optimization strategies. It enables NEATO, a massively parallel join optimizer that exhaustively handles complex TPC/D queries. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. William J. McKenna (AT&T)
- 2. Louis Burger (NCR Corporation)
- 3. Chi Hoang (NCR Corporation)
- 4. Melissa Truong (NCR Corporation)
BibTeX Citation
@article{mckenna_vldb96,
title = {{EROC: A Toolkit for Building NEATO Query Optimizers}},
author = {McKenna, William J. and Burger, Louis and Hoang, Chi and Truong, Melissa},
journal = {PVLDB},
series = {{VLDB} '96},
pages = {111},
year = {1996}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 171 | Optimizing Queries across Diverse Data Sources | 1997 | VLDB | 0.00027363924 |
| 1,727 | Optimal Top-Down Join Enumeration | 2007 | SIGMOD | 9.91063e-05 |
| 3,036 | On Parallel Processing of Aggregate and Scalar Functions in Object-Relational DBMS | 1998 | SIGMOD | 7.8287552e-05 |
| 4,044 | Partial Join Order Optimization in the ParAccel Analytic Database | 2009 | SIGMOD | 6.9400535e-05 |
| 12,938 | TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer | 1998 | VLDB | 5.093636e-05 |
| 12,948 | Plan-Per-Tuple Optimization Solution - Parallel Execution of Expensive User-Defined Functions | 1998 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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