New Concepts for Parallel Object-Relational Query Processing
Jaedicke, Michael.
New Concepts for Parallel Object-Relational Query Processing [electronic resource] / by Michael Jaedicke. - 1st ed. 2001. - XI, 161 p. online resource. - Lecture Notes in Computer Science, 2169 1611-3349 ; . - Lecture Notes in Computer Science, 2169 .
Background on User-Defined Routines -- Parallel of User-Defined Functions -- Intra-function Parallelism -- The Multi-operator Method -- User-Defined Table Operators -- Implementation of UDTO -- Summary, Conclusions, and Future Work.
During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. These systems are extensible by user-defined data types and user-defined functionality for the data. This work focuses on the efficient parallel execution of user-defined functionality. The main contributions describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function parallelism for the execution of a scalar function on a large object, and a new technology to provide extensibility with regard to new set-oriented database operations that can efficiently implement user-defined functionality in parallel object-relational database management systems.
9783540455073
10.1007/3-540-45507-8 doi
Database management.
Database Management.
QA76.9.D3
005.74
New Concepts for Parallel Object-Relational Query Processing [electronic resource] / by Michael Jaedicke. - 1st ed. 2001. - XI, 161 p. online resource. - Lecture Notes in Computer Science, 2169 1611-3349 ; . - Lecture Notes in Computer Science, 2169 .
Background on User-Defined Routines -- Parallel of User-Defined Functions -- Intra-function Parallelism -- The Multi-operator Method -- User-Defined Table Operators -- Implementation of UDTO -- Summary, Conclusions, and Future Work.
During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. These systems are extensible by user-defined data types and user-defined functionality for the data. This work focuses on the efficient parallel execution of user-defined functionality. The main contributions describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function parallelism for the execution of a scalar function on a large object, and a new technology to provide extensibility with regard to new set-oriented database operations that can efficiently implement user-defined functionality in parallel object-relational database management systems.
9783540455073
10.1007/3-540-45507-8 doi
Database management.
Database Management.
QA76.9.D3
005.74