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Abstract: We present a query architecture in which join operators are decomposed into their constituent data structures (State Modules, or SteMs), and dataflow among these SteMs is managed adaptively by an eddy routing operator [2]. Breaking the encapsulation of joins serves two purposes. First, it allows the eddy to observe multiple physical operations embedded in a join algorithm, allowing for better calibration and control of these operations. Second, the SteM on a relation serves as a shared... (Update)
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BibTeX entry: (Update)
Raman, V., Deshpande, A., and Hellerstein, J., Using State Modules for Adaptive Query Processing, In ICDE (2003), to appear. http://citeseer.ist.psu.edu/article/raman03using.html More
@misc{ raman03using,
author = "V. Raman and A. Deshpande and J. Hellerstein",
title = "Using State Modules for Adaptive Query Processing",
text = "Raman, V., Deshpande, A., and Hellerstein, J., Using State Modules for
Adaptive Query Processing, In ICDE (2003), to appear.",
year = "2003",
url = "citeseer.ist.psu.edu/article/raman03using.html" }
Citations (may not include all citations):187 Optimizing queries across diverse data sources - Haas - 1997
162 Implementation techniques for main memory database systems (context) - DeWitt - 1984
97 Eddies: Continuously adaptive query processing - Avnur, Hellerstein - 2000
90 Dataflow query execution in a parallel main-memory environme.. - Wilschut, Apers - 1991
80 An adaptive query execution system for data integration - Ives - 1999
78 Optimization of nonrecursive queries (context) - Krishnamurthy, Boral et al. - 1986
74 Cost-based query scrambling for initial delays - Urhan, Franklin et al. - 1998
71 Monitoring streams: A new class of data management applicati.. (context) - Carney - 2002
49 Adaptive query processing: technology in evolution (context) - Hellerstein - 2000
45 Streaming queries over streaming data - Chandrasekaran, Franklin - 2002
44 Optimization of dynamic query evaluation plans - Graefe, Cole - 1994
37 XJoin: A Reactively-Scheduled Pipelined Join Operator (context) - Urhan - 2000
37 Efficient mid-query reoptimization of suboptimal query execu.. (context) - Kabra - 1998
31 Query processing and optimization in Oracle Rdb - Antoshnekov, Ziauddin - 1996
30 Using state modules for adaptive query processing - Raman, Deshpande et al. - 2002
29 Optimal nesting for computing N-relational joins (context) - Ibaraki, Kameda - 1984
27 An algorithm for ordering subgoals in NAIL (context) - Morris - 1988
24 Dynamic pipeline scheduling for improving interactive query .. - Urhan - 2001
15 Interactive data analysis: The Control project (context) - Hellerstein - 1999
14 LEO -- DB2's LEarning Optimizer - Stillger, Lohman et al. - 2001
13 Partial results for online query processing - Raman, Hellerstein - 2002
13 WSQDSQ practical approach combined querying database and web - DSQ, for et al. - 2000
11 An overview of system software of a parallel relational data.. (context) - Fushimi - 1986
10 Memory-adaptive external sorting - Pang - 1993
7 Exploiting statistics on query expressions for optimization (context) - Bruno, Chaudhuri - 2002
6 Dynamic memory adjustment for external mergesort - Zhang, Larson - 1997
5 Java support for data-intensive systems (context) - Shah - 2001
5 Interactive Query Processing (context) - Raman - 2001
2 A parallel processing strategy for evaluating recursive quer.. (context) - Rashid, Su - 1986
2 Continuosly adaptive continuous queries over streams (context) - Madden - 2002
1 Query optimization to meet performance targets for wide area.. - Zadorozhny, Raschid - 2002
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