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When we are online, we can hide behind a computer monitor and do whatever we like. And in some respects, that makes the Internet a useful tool. It is an information highway for a reason. We can nd our favorite recipes, locate lost classmates, post photos of a fun event on a personal Web page, purchase a coveted item or apply for a job. Blake Styles knew this, as many other fraudsters do. Individuals need to be wary when using the Internet. They need to take the extra time to verify who they are dealing with. Do not rush into buying anything. If someone is using a high-pressure sales tactic, you probably don t want that item. There is a reason why a person or business is trying to of oad something as quickly as possible. (continued )

If we take the example in the general form, in which customer information is stored in XML files and we need to validate the customer number using an EJB to encapsulate

You can create the Statement object by using the createStatement() method of the connection interface. It returns an object that implements the Statement Interface. The following line of code can be used to illustrate the creation of the Statement object:

By contrast, I have yet to hear of a trader losing institutional investment capital due to better than expected real-time profit to maximum drawdown ratios Finally, data integrity issues must account for realistic entry and exit.

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The doFilter() method selects one of the status codes (101, 201, 301, 401, or 501) at random. You then alter the response to sendError() with this status code and the additional message "something's up." Place PostFilter.java in the Greetings directory and compile it. Run your existing servlet and note that nothing changes: You still need to change the deployment descriptor. Make the following changes so that the filter will work when Greetings.Hello1 is accessed with the shortcut address. Register the filter and map it to work with the servlet Hello1 by making the following changes to web.xml:

<ejb name>Customer</ejb name> <home>CustomerHome</home> <remote>Customer</remote> <ejb class>CustomerEntityBean</ejb class> <persistence type>Bean</persistence type> <prim key class>CustomerID</prim key class> <reentrant>True</reentrant> </entity> </enterprise beans> </ejb jar>

The first statement in the preceding code is called the XML prolog, which indicates that the document is an XML document. When you open this document in a browser, the output is displayed as shown in Figure 14.2. As you can see in the figure, the entire data is displayed in a hierarchical manner in the form of a tree. The tags that contain other tags, also called child tags, can be expanded or collapsed.

For some environments, you want to have much more complex queries that involve more than just the values of one table. A typical query might be "find me all the book orders that are currently pending and give me the names of those books." This would require retrieving information from more than one table, collating it, and sending the value back to the caller. Joining two tables together for a single result When you combine the results of two table searches, it is called a join. Many forms of joins are available in SQL, enabling you to organize the result in many different ways. You can return the entire contents of two tables at once, match a single row with values in another table, or return only common columns among two or more tables. Although we speak of two tables here, you can generalize these actions to as many tables as you want (and your database supports!). You join two or more tables using the normal SELECT command. Most of the time you will need to use the JOIN keyword in place of the WHERE section, although even that is optional! Say you want to merge the results of two tables. In the following example you get all the orders and the products they refer to as a single return result.

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Once the initial context is constructed, you can query the directory service just as you would a naming service. This involves using the lookup() and list() methods, as in the preceding example. Say a customer has logged into the system and you need his or her information; you can access the relevant entry with a lookup based on 180