Attribute Partitioning in a Self-adaptive Relational Data Base Systems
Name
MIT-LCS-TR-192.pdf
Size
9.53 MB
Format
Adobe PDF
Checksum (MD5)
2f9d6c2f16b913f4ca0dfdf0388bf899
Author(s)
Niamir, Bahram
Date Issued
January 1978
Series/Report no.
MIT-LCS-TR-192
Abstract
One technique that is sometimes employed to enhance the performance of a data base management system is known as attribute partitioning. This is the process of dividing the attributes of a file into subfiles that are stored separately. By storing together those attributes that are frequently requested together by transactions, and by separating those that are not, attribute partitioning can reduce the number of pages that must be transferred from secondary storage to primary memory in order to process a transaction.
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