Partitioned Storage for Temporal Databases,

Abstract

Efficiently maintaining history data on line together with current data is difficult. This paper discusses one promising approach, the temporally partitioned store. The current store contains current data and possibly some history data, while the history store holds the rest of the data. The two stores can utilize different storage formats, and even different storage media, depending on the individual data characteristics. We discuss various issues on the temporally partitioned store, investigate several formats for the history store, and evaluate their performance on a set of sample queries.

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Document Details

Document Type
Technical Report
Publication Date
Jan 20, 1988
Accession Number
ADA195093

Entities

People

  • Ilsoo Ahn
  • Richard Snodgrass

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Cell Size
  • Clustering
  • Computer Programming
  • Computer Science
  • Computers
  • Data Storage Systems
  • Database Management Systems
  • Databases
  • Directories
  • Engineering
  • Information Processing
  • Language
  • Mass Storage
  • Relational Database Management Systems
  • Relational Databases
  • Software Development
  • Trees (Data Structures)

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Parallel and Distributed Computing.
  • Systems Analysis and Design