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PODS
2004
ACM
100views Database» more  PODS 2004»
14 years 9 months ago
Weighted Hypertree Decompositions and Optimal Query Plans
Francesco Scarcello, Gianluigi Greco, Nicola Leone
ICDE
2008
IEEE
144views Database» more  ICDE 2008»
14 years 11 months ago
QShuffler: Getting the Query Mix Right
The typical workload in a database system consists of a mixture of multiple queries of different types, running concurrently and interacting with each other. Hence, optimizing perf...
Mumtaz Ahmad, Ashraf Aboulnaga, Shivnath Babu, Kam...
ICDE
2002
IEEE
146views Database» more  ICDE 2002»
14 years 11 months ago
Query Estimation by Adaptive Sampling
The ability to provide accurate and efficient result estimations of user queries is very important for the query optimizer in database systems. In this paper, we show that the tra...
Yi-Leh Wu, Divyakant Agrawal, Amr El Abbadi
ICDE
2000
IEEE
89views Database» more  ICDE 2000»
14 years 11 months ago
Automating Statistics Management for Query Optimizers
Statistics play a key role in influencing the quality of plans chosen by a database query optimizer. In this paper, we identify the statistics that are essential for an optimizer....
Surajit Chaudhuri, Vivek R. Narasayya
VLDB
2004
ACM
97views Database» more  VLDB 2004»
14 years 3 months ago
Progressive Optimization in Action
Progressive Optimization (POP) is a technique to make query plans robust, and minimize need for DBA intervention, by repeatedly re-optimizing a query during runtime if the cardina...
Vijayshankar Raman, Volker Markl, David E. Simmen,...