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» A pay-as-you-go framework for query execution feedback
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PVLDB
2008
107views more  PVLDB 2008»
13 years 3 months ago
A pay-as-you-go framework for query execution feedback
Past work has suggested that query execution feedback can be useful in improving the quality of plans by correcting cardinality estimation errors in the query optimizer. The state...
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar...
DBPL
2003
Springer
144views Database» more  DBPL 2003»
13 years 8 months ago
A General Framework for Estimating XML Query Cardinality
Abstract. In the context of XML data management systems, the estimation of query cardinality is becoming more and more important: the information provided by a query result estimat...
Carlo Sartiani
CIDR
2009
139views Algorithms» more  CIDR 2009»
13 years 4 months ago
Inter-Operator Feedback in Data Stream Management Systems via Punctuation
High-volume, high-speed data streams may overwhelm the capabilities of stream processing systems; techniques such as data prioritization, avoidance of unnecessary processing and o...
Rafael Fernández-Moctezuma, Kristin Tufte, ...
ICDE
2007
IEEE
113views Database» more  ICDE 2007»
14 years 5 months ago
A Lightweight Online Framework For Query Progress Indicators
Recently there has been increasing interest in the development of progress indicators for SQL queries. In this paper we present a lightweight online framework for this problem. Ou...
Chaitanya Mishra, Nick Koudas
EDBT
2010
ACM
151views Database» more  EDBT 2010»
13 years 8 months ago
Warm cache costing: a feedback optimization technique for buffer pool aware costing
Most modern RDBMS depend on the query processing optimizer’s cost model to choose the best execution plan for a given query. Since the physical IO (PIO) is a costly operation to...
H. S. Ramanujam, Edwin Seputis