Deriving object oriented federated databases and processing federated queries
In this paper, we present a federated query processing approach to evaluate queries on an Object-Oriented (OO) federated database. This approach has been designed and implemented in the OO-Myriad project, which is an OO extension to the Myriad FDBS researchmyriad:94. Since data integration is perfor...
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sg-smu-ink.sis_research-10732018-06-22T04:02:23Z Deriving object oriented federated databases and processing federated queries LIM, Ee Peng SRIVASTAVA, Jaideep In this paper, we present a federated query processing approach to evaluate queries on an Object-Oriented (OO) federated database. This approach has been designed and implemented in the OO-Myriad project, which is an OO extension to the Myriad FDBS researchmyriad:94. Since data integration is performed as part of federated query processing, we have proposed outerjoin, outer-difference and generalized attribute derivation operations together with the traditional relational operations, to be used for integration purposes. To define an OO federated database as a virtual view on multiple OO export databases, we adopt a database mapping strategy that systematically derives each of the class extents, deep class extents and relationships of the federated database using an operator tree consisting of the integration operations. By augmenting federated database queries with this algebraic mapping information, query execution plans can be generated. Based on the original Myriad query processing framework, we have realized the proposed OO federated query processing approach in the OO-Myriad prototype. 1998-03-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/74 info:doi/10.1023/A:1008291617150 http://doi.org/10.1023/A:1008291617150 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing |
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Databases and Information Systems Numerical Analysis and Scientific Computing LIM, Ee Peng SRIVASTAVA, Jaideep Deriving object oriented federated databases and processing federated queries |
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In this paper, we present a federated query processing approach to evaluate queries on an Object-Oriented (OO) federated database. This approach has been designed and implemented in the OO-Myriad project, which is an OO extension to the Myriad FDBS researchmyriad:94. Since data integration is performed as part of federated query processing, we have proposed outerjoin, outer-difference and generalized attribute derivation operations together with the traditional relational operations, to be used for integration purposes. To define an OO federated database as a virtual view on multiple OO export databases, we adopt a database mapping strategy that systematically derives each of the class extents, deep class extents and relationships of the federated database using an operator tree consisting of the integration operations. By augmenting federated database queries with this algebraic mapping information, query execution plans can be generated. Based on the original Myriad query processing framework, we have realized the proposed OO federated query processing approach in the OO-Myriad prototype. |
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text |
author |
LIM, Ee Peng SRIVASTAVA, Jaideep |
author_facet |
LIM, Ee Peng SRIVASTAVA, Jaideep |
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LIM, Ee Peng |
title |
Deriving object oriented federated databases and processing federated queries |
title_short |
Deriving object oriented federated databases and processing federated queries |
title_full |
Deriving object oriented federated databases and processing federated queries |
title_fullStr |
Deriving object oriented federated databases and processing federated queries |
title_full_unstemmed |
Deriving object oriented federated databases and processing federated queries |
title_sort |
deriving object oriented federated databases and processing federated queries |
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Institutional Knowledge at Singapore Management University |
publishDate |
1998 |
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https://ink.library.smu.edu.sg/sis_research/74 http://doi.org/10.1023/A:1008291617150 |
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