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The Query Optimizer uses a model with estimated costs of each operator to determine which plan to choose. The costs are based on statistical information used to estimate the number of rows processed in each operator. By default, statistics are generated automatically during the optimization process to help generate these cardinality estimates. The Query Optimizer also determines which columns need statistics on each table. Once a set of columns is identi ed as needing statistics, the Query Optimizer attempts to nd a preexisting statistics object for that column. If it doesn t nd one, the system samples the table data to create a new statistics object. If one already existed, it is examined to determine if the sample was recent enough to be useful for the compilation of the current query. If it is considered out of date, a new sample is used to rebuild the statistics object. This process continues for each column where statistics are needed. Both auto-create and auto-update statistics are enabled by default. In practice, most people leave these ags enabled and get good behavior from the Query Optimizer. However, it is possible to disable the creation and update behavior of statistics:

By now, you should recognize that a single cube can be multifunctional. In effect, it can serve as the single source information for multiple workgroups or departments across your organization. While this centralization of information is beneficial for users, application developers, and IT administrators alike, it might be difficult for users to find their way to the information they need. Some might even feel overwhelmed by all the measures and dimensions built into a single cube. Analysis Services provides two features to better organize information for users Display Folders and Perspectives. You can use Display Folders to organize Measures into common groupings so that users do not have to look in every measure group to find the measures they need to analyze. The addition of Perspectives to a cube is another option for customizing the user s navigation experience by limiting the view of dimensions and measures to specific subject areas.

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INSERT customer VALUES ('ACME Widgets'); INSERT customer (cust_name) VALUES ('AAA Gadgets');

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For example, to view the XML produced when a user wants to add a new shipping address, use Internet Explorer to navigate to the URL http://servername:81/ EditAddressBookasp To view the XML produced when a user wants to add a new billing address, use Internet Explorer to navigate to the URL http://servername:81/ EditAddressBookasp txtAddressType=Billing To view the XML produced when a user wants to edit a specific address, use Internet Explorer to navigate to the URL http://servername:81/ EditAddressBookasp txtAddressID=AddressGUID After you retrieve the page, click Source on the View menu to see the XML EditCreditCardpasp Save this page as EditCreditCardasp, and then navigate to the ConsolidatedRetailcom site and log on (or you will be redirected when you try to view the page) You can then use Internet Explorer to access EditCreditCardasp by specifying a URL address with no parameters (in the form http://servername:81/EditCreditCardasp).

This is the message raised by the exception you added to the ForeName property of the Customer class.

To view the XML, click Source on the View menu ForgotPasswdpasp Save this page as ForgotPasswdasp, and then navigate to the ConsolidatedRetailcom site You can then use Internet Explorer to access ForgotPasswdasp by specifying a URL address with no parameters (in the form http://servername:81/ForgotPasswdasp) To view the XML, click Source on the View menu Indexpasp Save this page as Indexasp You can then use Internet Explorer to access Indexasp by specifying a URL address with no parameters (in the form http://servername:81/Indexasp) To view the XML, click Source on the View menu ListBasepasp Save this page as ListBaseasp, and then navigate to the ConsolidatedRetailcom site and log on (or you will not be able to view the information).

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Now that we ve covered the fundamentals of databases, let s pull all of the concepts together and apply them to define the structure of the databases for three applications simple, moderately complex, and complex given a fixed number of disk drives, a set of application characteristics, and a set of requirements.

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