ACM SIGMOD Anthology VLDB dblp.uni-trier.de

Querying Multiple Features of Groups in Relational Databases.

Damianos Chatziantoniou, Kenneth A. Ross: Querying Multiple Features of Groups in Relational Databases. VLDB 1996: 295-306
@inproceedings{DBLP:conf/vldb/ChatziantoniouR96,
  author    = {Damianos Chatziantoniou and
               Kenneth A. Ross},
  editor    = {T. M. Vijayaraman and
               Alejandro P. Buchmann and
               C. Mohan and
               Nandlal L. Sarda},
  title     = {Querying Multiple Features of Groups in Relational Databases},
  booktitle = {VLDB'96, Proceedings of 22th International Conference on Very
               Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India},
  publisher = {Morgan Kaufmann},
  year      = {1996},
  isbn      = {1-55860-382-4},
  pages     = {295-306},
  ee        = {db/conf/vldb/ChatziantoniouR96.html},
  crossref  = {DBLP:conf/vldb/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Some aggregate and grouping queries are conceptually simple, but difficult to express in SQL. This difficulty causes both conceptual and implementation problems for the SQL-based database system. Complicated queries and views are hard to understand and maintain. Further, the code produced is sometimes unnecessarily inefficient, as we demonstrate experimentally using a commercial database system. In this paper, we examine an important class of queries involving (potentially repeated) selection, grouping and aggregation over the same groups, and propose an extension of SQL syntax that allows the succinct representation of these queries. We propose a new relational algebra operation that represents several levels of aggregation over the same groups in an operand relation. We investigate the relationships between various algebraic sublanguages incorporating our new operator, and demonstrate that the extended relational operator can be evaluated using efficient algorithms. We describe a translation from the extended SQL language into our algebraic language. The resulting algebraic expression is then suitable for efficient evaluation. Even though the operator does not give additional expressive power to the relational algebra, it does allow an important subset of queries to be succinctly expressed and efficiently evaluated. We have implemented a preprocessor that evaluates our extended language on top of a commercial database system. We demonstrate that on a variety of examples, our implementation improves performance over standard SQL representations of the same examples by orders of magnitude.

Copyright © 1996 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.


Online Paper

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Printed Edition

T. M. Vijayaraman, Alejandro P. Buchmann, C. Mohan, Nandlal L. Sarda (Eds.): VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India. Morgan Kaufmann 1996, ISBN 1-55860-382-4
Contents BibTeX

Electronic Edition

References

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Referenced by

  1. Divesh Srivastava: Review - Querying Multiple Features of Groups in Relational Databases. ACM SIGMOD Digital Review 2: (2000)
  2. Surajit Chaudhuri: Review - Querying Multiple Features of Groups in Relational Databases. ACM SIGMOD Digital Review 2: (2000)
  3. Haixun Wang, Carlo Zaniolo: Using SQL to Build New Aggregates and Extenders for Object- Relational Systems. VLDB 2000: 166-175
  4. Surajit Chaudhuri, Gerhard Weikum: Rethinking Database System Architecture: Towards a Self-Tuning RISC-Style Database System. VLDB 2000: 1-10
  5. Kenneth A. Ross: Review - Providing Better Support for a Class of Decision Support Queries. ACM SIGMOD Digital Review 1: (1999)
  6. Jianzhong Li, Doron Rotem, Jaideep Srivastava: Aggregation Algorithms for Very Large Compressed Data Warehouses. VLDB 1999: 651-662
  7. H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava: What can Hierarchies do for Data Warehouses? VLDB 1999: 530-541
  8. Damianos Chatziantoniou: Evaluation of Ad Hoc OLAP: In-Place Computation. SSDBM 1999: 34-43
  9. Damianos Chatziantoniou: Ad Hoc OLAP: Expression and Evaluation. ICDE 1999: 250
  10. Shih-Fu Chang, Luis Gravano, Gail E. Kaiser, Kenneth A. Ross, Salvatore J. Stolfo: Database Research at Columbia University. SIGMOD Record 27(3): 75-80(1998)
  11. Raghu Ramakrishnan, Donko Donjerkovic, Arvind Ranganathan, Kevin S. Beyer, Muralidhar Krishnaprasad: SRQL: Sorted Relational Query Language. SSDBM 1998: 84-95
  12. Luca Cabibbo, Riccardo Torlone: From a Procedural to a Visual Query Language for OLAP. SSDBM 1998: 74-83
  13. Yihong Zhao, Prasad Deshpande, Jeffrey F. Naughton, Amit Shukla: Simultaneous Optimization and Evaluation of Multiple Dimensional Queries. SIGMOD Conference 1998: 271-282
  14. Kenneth A. Ross, Divesh Srivastava, Damianos Chatziantoniou: Complex Aggregation at Multiple Granularities. EDBT 1998: 263-277
  15. Damianos Chatziantoniou, Kenneth A. Ross: Groupwise Processing of Relational Queries. VLDB 1997: 476-485
  16. Luca Cabibbo, Riccardo Torlone: Querying Multidimensional Databases. DBPL 1997: 319-335
BibTeX
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