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Title:
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ADAPTIVE STORAGE MODEL FOR XML IN OBJECT-RELATIONAL DATABASES |
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Author(s):
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Michael Kamel , Khaled Nagi , Nagwa El-makky |
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ISBN:
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978-972-8924-56-0 |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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XML storage models, ORDBMS, performance analysis |
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Type:
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Full Paper |
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First Page:
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59 |
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Last Page:
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69 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Object relational database management systems (ORDBMS) are becoming more popular in storing and retrieving XML
than native XML DBMS. In most ORDBMS, XML is stored as CLOB inside the relation. Efficient XML parsers and
indexing techniques are used to retrieve the desired XML nodes. However, less attention is given to XML updates
queries. With the upcoming standardization of XML updates queries, the current implementation of the lock granularity
imposes a great limitation on the concurrency of parallel transactions. This motivated several experimental ORDBMS to
shred the XML nodes across internal relations. This approach has also several drawbacks. In this paper, we propose an
adaptive technique for selective shredding. It is based on existing database engines and takes the changes in the workload
pattern into consideration. We analyze the performance of our approach and compare it to the CLOB and the complete
shredding approaches. |
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