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SIGMOD
2003
ACM

Multi-Dimensional Clustering: A New Data Layout Scheme in DB2

10 years 5 months ago
Multi-Dimensional Clustering: A New Data Layout Scheme in DB2
We describe the design and implementation of a new data layout scheme, called multi-dimensional clustering, in DB2 Universal Database Version 8. Many applications, e.g., OLAP and data warehousing, process a table or tables in a database using a multi-dimensional access paradigm. Currently, most database systems can only support organization of a table using a primary clustering index. Secondary indexes are created to access the tables when the primary key index is not applicable. Unfortunately, secondary indexes perform many random I/O accesses against the table for a simple operation such as a range query. Our work in multi-dimensional clustering addresses this important deficiency in database systems. Multi-Dimensional Clustering is based on the definition of one or more orthogonal clustering attributes (or expressions) of a table. The table is organized physically by associating records with similar values for the dimension attributes in a cluster. We describe novel techniques for ...
Sriram Padmanabhan, Bishwaranjan Bhattacharjee, Ti
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2003
Where SIGMOD
Authors Sriram Padmanabhan, Bishwaranjan Bhattacharjee, Timothy Malkemus, Leslie Cranston, Matthew Huras
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