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Processing reporting function views in a data warehouse environment

Reporting functions reflect a novel technique to formulate sequence-oriented queries in SQL. They extend the classical way of grouping and applying aggregation functions by additionally providing a column-based ordering, partitioning, and windowing mechanism. The application area of reporting functions ranges from simple ranking queries (TOP(n)-analyses) over cumulative (Year-To-Date-analyses) to sliding window queries. We discuss the problem of deriving reporting function queries from materialized reporting function views, which is one of the most important issues in efficiently processing queries in a data warehouse environment. Two different derivation algorithms, including their relational mappings are introduced and compared in a test scenario.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:78780
Date02 June 2022
CreatorsLehner, Wolfgang, Hummer, W., Schlesinger, L.
PublisherIEEE
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/acceptedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relation0-7695-1531-2, 10.1109/ICDE.2002.994707

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