Progressive optimization in a shared-nothing parallel database

WS Han, J Ng, V Markl, H Kache, M Kandil - Proceedings of the 2007 …, 2007 - dl.acm.org
Commercial enterprise data warehouses are typically implemented on parallel databases
due to the inherent scalability and performance limitation of a serial architecture. Queries
used in such large data warehouses can contain complex predicates as well as multiple
joins, and the resulting query execution plans generated by the optimizer may be sub-
optimal due to mis-estimates of row cardinalities. Progressive optimization (POP) is an
approach to detect cardinality estimation errors by monitoring actual cardinalities at run-time …

[CITATION][C] Progressive optimization in a shared-nothing parallel database [C/OL]

WS HAN, J NG, V MARKL - Proceedings of the, 2007
Showing the best results for this search. See all results