Abstract: The present invention provides “XML Schema Collections” and methods and systems for using the same. XML data is typically stored as an XML instance, each of which should conform to a “schema” according to a desired goal. An XML schema provides identification and organization for the data supplied by an XML instance. XML Schema Collections are collections of one or more XML schema namespaces. An storage location designated for storage of XML data, such as an XML column in a relational database, can be “typed” with an XML Schema Collection object, allowing that storage location to store XML instances that conform to more than one XML schema. XML Schema Collections provide increased data storage versatility, and facilitation of data searches.

Abstract: The present invention provides “XML Schema Collections” and methods and systems for using the same. XML data is typically stored as an XML instance, each of which should conform to a “schema” according to a desired goal. An XML schema provides identification and organization for the data supplied by an XML instance. XML Schema Collections are collections of one or more XML schema namespaces. A storage location designated for storage of XML data, such as an XML column in a relational database, can be “typed” with an XML Schema Collection object, allowing that storage location to store XML instances that conform to more than one XML schema. XML Schema Collections provide increased data storage versatility, and facilitation of data searches.

Abstract: The present invention provides “XML Schema Collections” and methods and systems for using the same. XML data is typically stored as an XML instance, each of which should conform to a “schema” according to a desired goal. An XML schema provides identification and organization for the data supplied by an XML instance. XML Schema Collections are collections of one or more XML schema namespaces. An storage location designated for storage of XML data, such as an XML column in a relational database, can be “typed” with an XML Schema Collection object, allowing that storage location to store XML instances that conform to more than one XML schema. XML Schema Collections provide increased data storage versatility, and facilitation of data searches.

Abstract: A technique for incorporating binary formatting into a tag-based description language, such as XML, is provided. The binary formatting is achieved by tokenizing the tag and attribute names into variable sized numeric tokens, thereby obviating the need for repetitive or redundant storage of lengthy unicode words, etc. The binary formatting minimizes parsing time and the generation of overhead incident to the formatting and parsing of data. Parsing time is thereby substantially decreased and generally, the size of the resulting file decreases too.

Abstract: Several embodiments of the present invention are directed to systems and methods for extending the UDT framework of an extended relational data store (ERDS) to include support for unordered collections (multisets) and ordered collection (lists). More specifically, several embodiments of the present invention use an UDT infrastructure, CLR generics, and a new UNNEST operator to create and utilize a special type abstraction for collections that is simultaneously a scalar and a relation. As a scalar, this collection type can be processed by all parts of the data store engine that understand scalars (including but not limited to the client stack) and, as a relation, this collection type is queriable like any other type of relation.

Abstract: A system and method for updating collection-valued and other complex structured columns in a nested table using a nested extension of an UPDATE statement that is analogous to the syntax and semantics of the UPDATE statement that is used to modify scalar-valued columns of the table (called the outer UPDATE). Using the same syntactic and semantic constructs as the table at the outer level allows an existing implementation that processes modifications to relational tables to reuse its implementation techniques for processing outer updates to modify collection-valued columns as well. The UPDATE extensions enable the specification of updates to nested collections embedded at arbitrary levels of depth in the object model. The new syntax is embedded inside the outer UPDATE statement in a way that parallels the structure of the data itself and thus maps more directly to the user's conceptual model of the data.