1999Journal of Database ManagementRequires access

INDUSTRY AND PRACTICE

Chun Hung Cheng, Chon‐Huat Goh, Anita Lee‐Post

Open publisher page 1 citations

Abstract

Response time of a database system is largely determined by the number of secondary disk accesses required to process database transactions. To minimize disk accesses, a database file should be structured in such a way as to closely match data requirements of these transactions. The way in which data are organized for efficient processing of database transactions is called database partitioning. As data are stored in the form of tables in a relational database, data partitioning can be performed either vertically (i.e, along the attributes or columns) or horizontally (i.e., along the tuples or rows).Request access from your librarian to read this article's full text.

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Response time of a database system is largely determined by the number of secondary disk accesses required to process database transactions. To minimize disk accesses, a database file should be structured in such a way as to closely match data requirements of these transactions. The way in which data are organized for efficient processing of database transactions is called database partitioning. As data are stored in the form of tables in a relational database, data partitioning can be performed either vertically (i.e, along the attributes or columns) or horizontally (i.e., along the tuples or rows).Request access from your librarian to read this article's full text.

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Available abstract

Response time of a database system is largely determined by the number of secondary disk accesses required to process database transactions. To minimize disk accesses, a database file should be structured in such a way as to closely match data requirements of these transactions. The way in which data are organized for efficient processing of database transactions is called database partitioning. As data are stored in the form of tables in a relational database, data partitioning can be performed either vertically (i.e, along the attributes or columns) or horizontally (i.e., along the tuples or rows).Request access from your librarian to read this article's full text.

Key concepts: Computer science, Database, Row, Tuple, Relational database, View, Database design, Flat file database

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