Reduction of Materialized View Staleness Using Online Updates

dc.contributor.authorLabrinidis, Alexandrosen_US
dc.contributor.authorRoussopoulos, Nicken_US
dc.date.accessioned2004-05-31T22:50:20Z
dc.date.available2004-05-31T22:50:20Z
dc.date.created1998-02en_US
dc.date.issued1998-10-15en_US
dc.description.abstractUpdating the materialized views stored in data warehouses usually implies making the warehouse unavailable to users. We propose MAUVE, a new algorithm for online incremental view updates that uses timestamps and allows consistent read-only access to the warehouse while it being updated. The algorithm propagates the updates to the views more often than the typical once a day in order to reduce view staleness. We have implemented MAUVE top of the Informix Universal Server and used a synthetic workload generator to experiment with various update workloads and different view update frequencies. Our results show that, all kinds of update streams benefit from more frequent view updates, instead of just once a day. However, there is a clear maximum for the view update frequency, for which view staleness is minimal. (Also cross-referenced as UMIACS-TR-98-13)en_US
dc.format.extent267629 bytes
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/1903/942
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3878en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-98-13en_US
dc.titleReduction of Materialized View Staleness Using Online Updatesen_US
dc.typeTechnical Reporten_US

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