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Figure 2-6. Message validation in Service Broker programming Message validation has an impact on overall performance. The two XML validation types load every sent message into an XML parser when a message is received. If you receive messages from distrusted sources and the message volume isn t high, validation makes sense. When you receive messages from trusted sources, it makes more sense for the sending application to validate the XML message and handle any validation errors. This improves the performance on the server side, but you must decide carefully if you can trust the source.
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You can also use the asterisk (*) and plus (+) signs to represent repeated characters. For example 5+7 means one or more 5 characters, followed by a single 7. The number 57 matches, as does 555557. You can also use the brackets to group together a subexpression. For example, (52)+7 would find match any string that starts with a sequence of 52. Matches include 527, 52527, 52552527, and so on. The * character is similar to the + character, but it allows zero or more matches, while the + requires at least one match. You can also delimit a range of characters using square brackets. [a-f] would match any single character from a to f (lowercase only). The following expression would match any word that starts with a letter from a to f , contains one or more letters, and ends with ing possible matches include acting and developing. [a-f][a-z]+ing This discussion just scratches the surface of regular expressions, which constitute an entire language of their own. However, you don t need to learn everything there is to know about regular expressions before you start using them. In fact, many programmers simply look for useful prebuilt regular expressions on the Web. Without too much trouble, you can find examples for e-mails, phone numbers, postal codes, and more, all of which you can drop straight into your applications. For reference, you can look at the list of key regular expression metacharacters provided at the end of this section, in Table 17-1. To learn more about regular expressions, you might be interested in a dedicated book like the excellent Mastering Regular Expressions by Jeffrey Friedl (O Reilly, 2006).
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In this example, you need to find scraps of HTML in this form: <th>500 BCE</th><td>100,000</td> Here, the year in the <th> element is the lookup value, which is provided by the user. The number in the following <td> element is the result you want to retrieve. There are several ways to construct a regular expression that does the trick, but the cleanest approach is to use a named group. A named group is a placeholder that represents some information you want to retrieve. You assign the group a name, and then retrieve its value when you need it. Named groups use this syntax: ( <NamedGroupName>MatchExpression) Here s the named group used in this example: ( <population>.*) This named group is named population. It uses .* as its expression, which is just about as simple as a regular expression can get. The period (.) matches any character except a new line. The asterisk (*) indicates that there can be zero, one, or more occurrences of this pattern in other words, the population value can have any number of characters. What makes this named group useful is its position inside a larger regular expression. Here s an example that s very similar to the final expression used in this example: <th>1985</th>\s*<td>( <population>.*)</td>
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