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The XML specification defines certain rules that every XML document should follow. It dictates that elements within an XML document must be strictly nested within one another. The closing tag for a lower-level element must appear before the closing tag for a higherlevel element that contains it. The standard also dictates that an attribute must be uniquely named within its element; it is illegal to have two attributes with the same name attached to a single element. XML documents that obey the rules are described as well-formed XML documents.
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Although the roots of XML are in documents and document processing, XML can be quite useful for representing the structured data commonly found in data processing applications as well. Figure 25-3 shows a typical XML document from the data processing world, a very simplified purchase order. This is quite a different type of document from the book excerpt in Figure 25-1, but the key components of the document are the same. Instead of a chapter, the top-level element is a purchaseOrder. Its contents, like those of the chapter, are subelements a customerNumber, an orderNumber, an orderDate, and an orderItem. The orderItem in turn is composed of further subelements. Figure 25-3 also shows some business terms associated with the purchase order as attributes of the terms element. The ship attribute specifies how the order is to be shipped. The bill attribute specifies the credit terms for the order.
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FIGURE 25-3 XML document for a simple purchase order
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< xml version="1.0" > <purchaseOrder> <customerNumber>2117</customerNumber> <orderNumber>112961</orderNumber> <orderDate>2007-12-17</orderDate> <repNumber>106</repNumber> <terms ship="ground" bill="Net30"></terms> <orderItem> <mfr>REI</mfr> <product>2A44L</product> <qty>7</qty> <amount>31500.00</amount> </orderItem> </purchaseOrder>
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PART VI
Part VI:
SQL Today and Tomorrow
It should be obvious that the simple XML purchase order document in Figure 25-3 has a strong relationship to the ORDERS table in the sample database. You may want to compare it with the structure of the ORDERS table shown in Appendix A (Figure A-5). The lowest-level elements in the document mostly match the individual columns of the ORDERS table, except for the terms element. The top-level element in the document represents an entire row of the table. The transformation between a group of documents like the one in Figure 25-3 and a set of rows in the ORDERS table is a straightforward, mechanical one, which can be automatically performed by a simple computer program. Unlike the ORDERS table, the XML document imposes one middle level of hierarchy, grouping together the information about the ordered product the manufacturer ID, product ID, quantity, and total amount. In a real-world purchase order, this group of data items might be repeated several times, forming multiple line items on the order. The XML document could be easily extended to support this structure, by adding a second or third orderItem element after the first one. The sample database cannot be so easily extended. To support orders with multiple line items, the ORDERS table would probably be split into two tables: one holding the order header information (order number, date, customer ID, etc.), and the other holding individual order line items.
XML and SQL
The SGML origins give XML several unique and useful characteristics, which have strong parallels to the SQL language: Descriptive approach XML approaches document structure by telling what each element of a document is, rather than how to process it. You may recall this is also a characteristic of SQL, which focuses on which data is requested rather than how to retrieve it. Building blocks XML documents are built up from a very small number of basic building blocks, including two fundamental concepts, elements and attributes. There are some strong (but not perfect) parallels between an XML element and a SQL table, and between an XML attribute and a SQL column. Document types XML defines and validates documents as conforming to specific document types that parallel real-world documents, such as a purchase order document or a business reply document or a vacation request document. Again, there are strong parallels to SQL, where tables represent different types of realworld entities. Although there are some strong parallels between XML and SQL, they also have some very strong differences: Document vs. data orientation The core concepts of XML arise out of typical document structures. XML is text-centric, and it implements a strong distinction between the content itself (the elements of a document) and characteristics of the content (attributes). The core concepts of SQL arise out of typical data processing record structures. It is data-centric, with a range of data types (in their binary representations), and its structures (tables and columns) focus on content (data). This mismatch between the fundamental XML and SQL models can cause some conflicts or difficult choices when you re using them together.
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