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/* Get the customer info for customer 2111 */ declare the_name varchar(20); the_rep varchar(15); the_city varchar(15); execute get_cust_info(2111, the_name, the_rep, the_city);

$50,475 amount in the upper-left front cell represents the sales amount for January, for clothing, in the East region. Figure 21-2 shows a simple three-dimensional cube, but in many warehousing applications, there will be a dozen dimensions or more. Although a twelvedimensional cube is difficult to visualize, the principles are the same as for the three-dimensional example. Each dimension represents some variable on which the data may be analyzed. Each combination of dimension values has one associated fact value, which is typically the historical business result obtained for that collection of dimension values. To illustrate the database structures typically used in warehousing applications, we use a warehouse that might be found in a distribution company. The company distributes different types of products, made by various suppliers, to several hundred customers located in various regions of the country, through the efforts of its sales force. The company wants to analyze historical sales data along these dimensions, to discover trends and gain insights that will help it better manage its business. The underlying model for this analysis will be a five-dimensional fact cube with these dimensions: I Category. The category of product that was sold, with values such as clothing, linens, accessories, and shoes. The warehouse has about two dozen product categories.

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Defines a cursor for a query Describes the data access plan for a query Opens a cursor to retrieve query results Retrieves a row of query results Closes a cursor Prepares a SQL statement for dynamic execution Executes a SQL statement dynamically Describes a prepared query

Of course, it would be unusual to call this procedure with a literal customer number, but it s perfectly legal since that is an input parameter. The remaining three parameters have acceptable data assignment targets (in this case, they are PL/SQL variables) passed to them so that they can receive the returned values. The following call to the same procedure is illegal because the second parameter is an output parameter and thus cannot receive a literal value:

I Supplier. The supplier who manufactures the particular product sold. The company might distribute products from 50 different suppliers. I Customer. The customer who purchased the products. The company has several hundred customers. Some of the larger customers purchase products centrally and are serviced by a single salesperson; others purchase on a local basis and are served by local salespeople. I Region. The region of the country where the products were sold. Some of the company s customers operate in only one region of the country; others operate in two or more regions. I Month. The month when the products were sold. For comparison purposes, the company has decided to maintain 36 months (three years) of historical sales data in the warehouse. With these characteristics, each of the five dimensions is relatively independent of the others. Sales to a particular customer may be concentrated in a single region or in multiple regions. A specific category of product may be supplied by one or many different suppliers. The fact in each cell of the five-dimensional cube is the sales amount for that particular combination of dimension values. With the attributes just described, the fact cube contains over 35 million cells (24 categories 50 suppliers 300 customers 3 regions 36 months).

/* Get the customer info for customer 2111 */ execute get_cust_info(2111, 'XYZ Co', the_rep, the_city)

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