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Many useful real-world XML documents do not map neatly into single rows of a table. Figure 25-4 shows a simple extension of the purchase order XML document from Figure 25-3, which supports the typical real-world requirement that a purchase order may contain multiple line items. How should this XML document be unmarshaled into the sample database One solution is to make each line item from the purchase order into a separate row of the ORDERS table. (Ignore for the moment that each row in the ORDERS table must contain a unique order number because the order number is the primary key.) This would result in some duplication of data, since the same order number, order date, customer number, and salesperson number will appear in several rows. It would also make marshaling the data to reconstitute the document more complex the DBMS would have to know that all of the rows with the same order number should be marshaled into one purchase order XML document with multiple line items. Clearly, the marshaling/unmarshaling of even this simple document requires a more complex mapping. The multiline purchase order merely scratches the surface of marshaling and unmarshaling XML documents. The more general situation is shown in Figure 25-5, where the DBMS must unmarshal an XML document into multiple rows of multiple, interrelated tables. To marshal the document, the DBMS must exercise the relationships between the tables to find the related rows and recompose the XML hierarchy. The underlying reason for this complexity is the mismatch between XML s natural hierarchical structure and the flat, normalized, row/column structure of a relational database.

35.1 Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

Part VI:

The vast majority of metal corrosion data in the United States are expressed in terms of surface regression rate mpy (mils, or thousands of an inch, per year). Multiply mpy by 0.0254 to obtain millimeters per year (mm/yr). To convert to mass-loss rate, multiply the surface regression rate by surface area and material density, using consistent units. Polymer attack typically involves volume changes, usually increases, caused by liquid absorption; reductions in mechanical properties such as yield strength, tensile strength, flexure strength, and tensile modulus; discoloration; and/or changes in surface texture. Certain plastics are degraded by ultraviolet light, which limits their usefulness in sunlight unless they are pigmented with an opaque substance such as lamp-black carbon.

FIGURE 25-5

In the world of terrestrial television and radio, media always did stream. Even where analog transmission is used, your receiver is continuously receiving data, while simultaneously displaying what it already has (Figure 2.2). With an analog television, what is displayed is, for all intents and purposes, pretty much what is currently being received. This has changed a little with digital television, because the data consists of binary numbers, which can, theoretically, be stored; but the

The attack on metals involves oxidation of neutral metal atoms to form positively charged ions which either enter into solution or become part of an oxide layer This process generates electrons, which must be consumed by other atoms, reducing them, or making them more negatively charged Conservation of electrons requires that the rate of metal oxidation (corrosion) equal the rate of reduction (absorption of electrons by other atoms) 3531 General Attack In general attack, oxidation and reduction occur on the same metal surface, with a fairly uniform distribution Most of the corrosion data in this chapter are for selected materials subject to uniform attack in a given environment Once a suitable material is selected, further control of uniform attack can be achieved by coatings, sacrificial anodes (see Galvanic Corrosion), anodic protection (see Passivation), and inhibitors Coatings are many times multilayered, involving both metallic and polymer layers.

Marshaling and unmarshaling are both simplified and made more complex if a DBMS supports object-relational extensions such as structured data types. The translation to and from XML can be simpler because individual columns of a table can now have their own hierarchical structure. A higher-level XML element (such as a billing address composed of street, city, state, country, and postal code elements) can be mapped into a corresponding column with an abstract ADDRESS data type, with its own internal hierarchy. However, the translation to and from XML now involves more decisions in the database design, trading off the marshaling/unmarshaling simplicity of structured data types against the flexibility of a flattened row/column approach. Several commercial products are beginning to offer marshaling/unmarshaling capabilities, or have announced plans to provide this capability in future releases. The performance overhead of this translation can be very substantial, and it remains to be seen how popular these capabilities will be in practice. However, if an application is handling external data in XML form, the translation between XML and SQL data must occur at some point, and translation within the DBMS itself may be the most efficient approach.