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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
8889
Venue
VLDB
Year
2002
Pagerank
4.8528709e-05
Overall Rank
7,045 | 50.99%
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 0.00067123727
121 Improved Query Performance with Variant Indexes 1997 SIGMOD 0.00045447517
218 Aggregate-Query Processing in Data Warehousing Environments 1995 VLDB 0.00033503922
248 Eager Aggregation and Lazy Aggregation 1995 VLDB 0.00030785339
584 Answering Queries with Aggregation Using Views 1996 VLDB 0.0001971526
639 Orthogonal Optimization of Subqueries and Aggregation 2001 SIGMOD 0.00018791492
1,035 Bitmap Index Design and Evaluation 1998 SIGMOD 0.00014532778
1,302 Query Optimization by Predicate Move-Around 1994 VLDB 0.00012705525
1,887 Caching Multidimensional Queries Using Chunks 1998 SIGMOD 0.00010204659
2,579 Data Warehousing and OLAP for Decision Support 1997 SIGMOD 8.5071315e-05
4,528 Query Optimization for Selections using Bitmaps 1999 SIGMOD 6.1083382e-05
5,837 An Alternative Storage Organization for ROLAP Aggregate Views Based on Cubetrees 1998 SIGMOD 5.3061106e-05
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