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If the string exceeds the allotted space, it will be truncated: $ { center -30 Now is the time ; printf "\n" center -30 for all good men to come to the aid of ; printf "\n" center -30 the party ; printf "\n" } Now is the time for all good men to come to the ai the party The Script center() { case $1 in -[0-9]*) c_cols=${1#-} shift ;; *) c_cols=${COLUMNS:-78} ;; esac string="$*" c_len=$(( ( $c_cols - ${#string} ) / 2 + ${#string})) printf "%${c_len}.${c_len}s" "$*" }

Regardless of the number of dimensions, a cube is composed of cells. A cell is the atomic unit of an Analysis Services cube. We specify a cell by identifying its position within the cube in terms of dimensions. For example, we may identify a measure of Sales uniquely by its Customer, Sales Person, Credit Card Type, Currency, and Product.

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Within a cube, measure groups such as FactInternetSales include quantitative values like OrderQuantity and SalesAmount. These assess business activity. By managing and enabling the manipulation of measures, Analysis Services allows a score to be associated with data (much like a football match has a score associated with it). Often numeric in value, measures tend to be aggregated (show sales aggregated by product category, sales by product color, or sales by customer). Date/time, monetary units, and quantity are examples of potential measures. Measures are contained in a fact table, which is a database table with one or more measures. The aptly named table FactInternetSales is the fact table of the cube shown in Figure 20-3. The term measure is synonymous with the term fact; hence the terms fact table or measure group. A measure may not only be a database column but could be a calculation (sales less commission, sales plus tax, and so on). Within Analysis Services, MDX can generate calculated measures.

Each field is printed using printf, followed by the delimiter, and stored in a variable. The final, trailing delimiter is removed. If the delimiter is a space or a tab, it may be necessary to use a placeholder for empty fields, since many utilities (including split_record) will interpret multiple consecutive whitespace characters as a single delimiter.

The sample cube in Figure 20-3 has three dimensions (DimProduct, DimCustomer, and DimCurrency). What is a dimension The formal definition of an Analysis Services dimension is a dimension categorizes measures. The DimCurrency dimension categorizes the measures in the FactInternetSales fact table by Hong Kong dollar, ruble, and euro. The DimCustomer dimension is completely independent of the DimCurrency dimension and categorizes based on which customer purchased the product. In a more traditional database sense, dimensions are often the foreign keys of a fact table. Each dimension is composed of descriptive characteristics. For example, a DimProduct may be red in color. Color is an attribute of the dimension. You can use it to select data within that dimension.

We order dimensions by hierarchies. In a product dimension, the levels of a hierarchy may be category, subcategory, and product. The tables associated with category, subcategory, and product compose all levels of the DimProduct dimension. Hierarchies are broken down into balanced hierarchies and unbalanced hierarchies. In order to understand hierarchies, consider the Category, Subcategory, and Product levels shown in Figure 20-4. At the base of this hierarchy are specific products (such as Logo Cap and Stock Vest, S). These values represent the leaves of the hierarchy. Each leaf is the same distance from the root level of the hierarchy, which means it is a balanced hierarchy. Results can show Internet sales for all products, Internet sales by category, Internet sales for category starting with the letter Q, or product sales by category and subcategory.

Usage _put_record [-n C] "${ARRAY[@]}" put_record [-n C] "${ARRAY[@]}" ## store record in $_PUT_RECORD ## print the record

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