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As you might expect, both the element-representation and the attribute-representation methods have strong advocates with strongly held beliefs. Advocates of the element approach make these arguments: Elements are more fundamental to the XML model than attributes; they are the carriers of content in all markup languages (HTML, XML, SGML, etc.), and the content of the database (column values) should be represented as content in XML. Element order matters, and in some cases, so does the ordering of data in a DBMS (for example, when identifying a column by number in a query specification or when using a column number to retrieve query results with an API). Elements provide a uniform way of representing column data, regardless of whether the column has a simple, atomic data type (integer, string) or more complex, compound, user-defined data types supported by the object-relational extensions in the SQL standard. Attributes don t provide this capability. (Attribute values are atomic.) Advocates of the attribute approach make these arguments: Attributes are a fundamental match for the columns in the relational model. Individual rows represent entities, so they should be mapped into elements. Column values describe attributes of the entity (row) in which they appear; they should be represented as attribute values in XML. The restriction of unique attribute names within an element matches the uniqueness required of column names within a table. The unordered nature of attributes matches the unordered nature of columns in the fundamental relational model. (The places where column position is used are shortcuts for convenience, not fundamental to the underlying relations.) The attribute representation is more compact, since column names appear only once in the XML form, not as both opening and closing tags. This is a practical advantage when storing or transmitting XML. Both the element-centric and attribute-centric styles are found in today s XML and SQL products. The choice depends on the preferences of the document author and the conventions of the organization using XML with SQL. In addition, standards imposed by industry bodies for document exchange using XML may dictate one style or the other.
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With the rapidly growing popularity of XML, database product vendors have moved quickly to offer XML support in their products. The form of XML support varies, but tends to fall into one or more of these categories: XML output An XML document can easily represent the data in one or more rows of query results. With this support, the DBMS generates an XML document as its response to a SQL query instead of the usual row/column query results. The SQL standard specifies a number of SQL functions that can be used to transform data retrieved from relational tables into XML.
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XML input An XML document can easily represent the data to be inserted as one or more new rows of a table. It can also represent data to update a row of a table, or the identification of a row to be deleted. With this support, the DBMS accepts an XML document as input instead of a SQL request. XML data exchange XML is a natural way to express data that is to be exchanged between different DBMS systems or among DBMS servers. Data from the source database is transformed into an XML document and shipped to the destination database, where it is transformed back into a database format. This same style of data exchange is useful for moving data between relational databases and non-DBMS applications, such as corporate Enterprise Resource Planning (ERP), enterprise application integration (EAI), enterprise information integration (EII), and extract, transform, load (ETL) systems. XML storage A relational database can easily accept an XML document (which is a string of text characters) as a piece of variable-length character string (VARCHAR) or character large object (CLOB) data. At the most basic level of XML support, an entire XML document becomes the content of one column in one row of the database. Slightly stronger XML support may be possible if the DBMS allows the column to be declared with an explicit XML data type. Although the ANSI/ISO SQL standard contains specifications for an XML data type (XML), no vendor implementation exactly supports the standard. However, Oracle, DB2 UDB, and SQL Server all support an XML type in proprietary implementations. XML data integration A more sophisticated level of integrated XML storage is possible if the DBMS can parse an XML document, decompose it into its component elements, and store the individual elements in individual columns. Ordinary SQL can then be used to search those columns, providing search support for elements within the XML document. In response to a query, the DBMS can recompose the XML document from its stored component elements.
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