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Processing Star Queries on Hierarchically-Clustered Fact Tables

Summary: Proposes a plan for star queries on clustered fact tables with path-based surrogate keys. Shows surrogate-key optimizations and a grouping transform for dimension hierarchies; implemented in a commercial RDBMS with speedups on star workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8890
Venue
VLDB
Year
2002
Pagerank
4.8483133e-05
Overall Rank
7,042 | 51.06%
DOI
-

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Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
51 Including Group-By in Query Optimization 1994 VLDB 0.00067060283
121 Improved Query Performance with Variant Indexes 1997 SIGMOD 0.00045429472
218 Aggregate-Query Processing in Data Warehousing Environments 1995 VLDB 0.00033489004
249 Eager Aggregation and Lazy Aggregation 1995 VLDB 0.00030773137
583 Answering Queries with Aggregation Using Views 1996 VLDB 0.00019705383
640 Orthogonal Optimization of Subqueries and Aggregation 2001 SIGMOD 0.00018780632
1,033 Bitmap Index Design and Evaluation 1998 SIGMOD 0.0001453376
1,303 Query Optimization by Predicate Move-Around 1994 VLDB 0.00012692678
1,890 Caching Multidimensional Queries Using Chunks 1998 SIGMOD 0.0001018961
2,581 Data Warehousing and OLAP for Decision Support 1997 SIGMOD 8.4991119e-05
4,532 Query Optimization for Selections using Bitmaps 1999 SIGMOD 6.1027943e-05
5,849 An Alternative Storage Organization for ROLAP Aggregate Views Based on Cubetrees 1998 SIGMOD 5.3017343e-05
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