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Processing Queries for First Few Answers.

Roberto J. Bayardo Jr., Daniel P. Miranker: Processing Queries for First Few Answers. CIKM 1996: 45-52
@inproceedings{DBLP:conf/cikm/BayardoM96,
  author    = {Roberto J. Bayardo Jr. and
               Daniel P. Miranker},
  title     = {Processing Queries for First Few Answers},
  booktitle = {CIKM '96, Proceedings of the Fifth International Conference on
               Information and Knowledge Management, November 12 - 16, 1996,
               Rockville, Maryland, USA},
  publisher = {ACM},
  year      = {1996},
  pages     = {45-52},
  ee        = {db/conf/cikm/BayardoM96.html, http://doi.acm.org/10.1145/238355.238372},
  crossref  = {DBLP:conf/cikm/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Special support for quickly finding the first-few answers of a query is already appearing in commercial database systems. This support is useful in active databases, when dealing with potentially unmanageable query results, and as a declarative alternative to navigational techniques. In this paper, we discuss query processing techniques for first-answer queries. We provide a method for predicting the cost of a first-answer query plan under an execution model that attempts to reduce wasted effort in join pipelining. We define new statistics necessary for accurate cost prediction, and discuss techniques for obtaining the statistics through traditional statistical measures (e.g. selectivity) and semantic data properties commonly specified through modern OODB and relational schemas. The proposed techniques also apply to all-answer query processing when optimizing for fast delivery of the initial query results.

Copyright © 1996 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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CIKM '96, Proceedings of the Fifth International Conference on Information and Knowledge Management, November 12 - 16, 1996, Rockville, Maryland, USA. ACM 1996
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Referenced by

  1. Kian-Lee Tan, Cheng Hian Goh, Beng Chin Ooi: Online Feedback for Nested Aggregate Queries with Multi-Threading. VLDB 1999: 18-29
  2. Ling Lin, Tore Risch: Querying Continuous Time Sequences. VLDB 1998: 170-181
  3. Jun Rao, Kenneth A. Ross: Reusing Invariants: A New Strategy for Correlated Queries. SIGMOD Conference 1998: 37-48
  4. Gísli R. Hjaltason, Hanan Samet: Incremental Distance Join Algorithms for Spatial Databases. SIGMOD Conference 1998: 237-248
  5. Phillip B. Gibbons, Yossi Matias: New Sampling-Based Summary Statistics for Improving Approximate Query Answers. SIGMOD Conference 1998: 331-342
  6. Joseph M. Hellerstein, Peter J. Haas, Helen J. Wang: Online Aggregation. SIGMOD Conference 1997: 171-182
  7. Michael J. Carey, Donald Kossmann: On Saying "Enough Already!" in SQL. SIGMOD Conference 1997: 219-230
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