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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 to 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.

Sometimes multiple conditions are necessary in order to narrow the query result set. When multiple conditions are used, they must be logically combined in the WHERE clause, and this is the job of conjunctive operators. These operators are AND The WHERE clause evaluates to true if all of the conditions connected with the AND operator are true. OR The WHERE clause evaluates to true if any of the conditions connected with the OR operator are true. Things get complicated if AND and OR operators are mixed in the same WHERE clause. The AND operator is a higher precedence and therefore is evaluated before any OR operators. However, you can do yourself a big favor by always using parentheses to control the evaluation of a WHERE clause that mixes the two conjunctive operators. Conditions inside parentheses are always evaluated rst, and making the evaluation you intend explicitly clear in the statement not only helps you, but also anyone else who might read your SQL statement at a later time.

25:

< xml version="1.0" > <purchaseOrder> <customerNumber>2117</customerNumber> <orderNumber>112961</orderNumber> <orderDate>1989-12-17</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> Figure 25-3.

take the other electrode and place it on top of the dyed electrode. Stagger the junction between the two plates in order that you leave a little of each exposed at either end you can then use a couple of crocodile clips to connect the cell to a multimeter. Now clip the sheets of glass together carefully to ensure they stay together (Figure 11-8). Now connect a multimeter we can start to think about doing some really cool stuff now! You might like to try a few different experiments like seeing what way to shine the light through the cell for the most effective operation. You might like to repeat some of the experiments in the section on photovoltaic solar cells, and see what results you obtain with a photochemical solar cell.

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, and so on), and the other holding individual order line items.

Here are some examples using conjunctive operators:

The SGML origins give XML several unique and useful characteristics, which have strong parallels to the SQL language: I 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. I 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. I 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 letter document or a vacation request document. Again, there are strong parallels to SQL, where tables represent different types of real-world entities.