SQL/xml has gained increasing interest whenever relational data has to be transformed to xml data, which is transferred, stored, or further processed in internet-basedsystems. However, SQL/xml is not supported by all...
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ISBN:
(纸本)9780769549118;9781467351522
SQL/xml has gained increasing interest whenever relational data has to be transformed to xml data, which is transferred, stored, or further processed in internet-basedsystems. However, SQL/xml is not supported by all relational database systems and SQL/xml query processing may become a bottleneck when large amounts of xml data are generated by SQL/xml queries. We have developed a technique to generalize and to improve the evaluation of SQL/xml queries in comparison to the SQL/xml query evaluation techniques provided by the database systems Oracle 11g and DB2. Our generalization supports the SQL/xml transformation of relational data into xml for all relational database systems, including those that up to now support only SQL, but not SQL/xml, and it allows generating compressed or uncompressed xml. The improvement is that our approach does this faster than Oracle 11g and than DB2 in most cases.
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