c# generate barcode free Category name ------------Accessories Bikes Clothing Components in Font

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The next SELECT statement demonstrates the same design principles as the preceding statement. This statement extracts three columns from the ProductSubcategory table in the Production schema of the AdventureWorks database. The ProductCategoryID column values for this sample repeat for different ProductSubcategoryID column values from the same category. This script, and most of the other samples in this chapter, references the AdventureWorks database. Future sample descriptions will mention database context only when another database is being referenced. Notice that the name of the third column in the SELECT list for this sample is the same as the name of the second column in the preceding sample. Recall that the different aliases for the column called Name in both samples distinguish the code and the result set values between the first and second samples. SELECT ProductSubcategoryID, ProductCategoryID, Name 'Subcategory name' FROM Production.ProductSubcategory The next set of lines shows an excerpt from the sample extracting column values from the ProductSubcategory table. The total result set contains 37 rows of output one line for each unique ProductSubcategoryID value, which is the primary key for the query s data source. The listing excerpt that follows shows the first five rows. The first three of these are from the Bikes category, which, as we know from the previous result set listing, has a ProductCategoryID value of 1. The next two rows are from the Components category. ProductSubcategoryID -------------------1 2 3 4 5 ProductCategoryID ----------------1 1 1 2 2 Subcategory name ---------------Mountain Bikes Road Bikes Touring Bikes Handlebars Bottom Brackets
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While SELECT statements often derive all the list items from column names in a data source, it is possible to derive list items from other sources. For example, the following script declares a local variable (@intvar) and then assigns a value to the variable. Next, the script includes the local variable as a list item. The SELECT statement is the same as the first sample, except for the new third column. You can also assign a constant, such as the value 1, as a list item. A variable value or constant assigned this way will define a column in the result set and repeat its value for each row within that column. DECLARE @intvar int SET @intvar = 1 SELECT ProductCategoryID, Name 'Category name', @intvar 'Local variable' FROM Production.ProductCategory This listing for the preceding script shows the same value for the Local variable column in each row. Otherwise, this listing is identical to the one from the first sample.
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CHAPTER 5 CREATING QUERIES FROM A SINGLE DATABASE OBJECT
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ProductCategoryID ----------------4 1 3 2
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Category name ------------Accessories Bikes Clothing Components
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Local variable -------------1 1 1 1
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List items can also include calculated column values as well as aggregated column values. When a SELECT list contains a single aggregate function, the result set consists of a single scalar value, instead of an array of rows. The following aggregate function returns the number of rows in the ProductSubcategory table (37). See the Calculating Computed List Items section in this chapter for details on using calculated items in a SELECT list. SELECT Count(*) FROM Production.ProductSubcategory Each of the preceding samples implicitly accepts the default ALL keyword after SELECT. The ALL keyword shows all rows from a data source in its result set whether or not there are duplicate rows. It is sometimes necessary to return a result set with just nonduplicate values in each row. If you do not have permission to access another data source with nonduplicated column values (such as, ProductCategory), you can still return unique values by explicitly specifying DISTINCT before the items in a SELECT statement that draws on another data source, such as ProductSubcategory. The DISTINCT keyword causes a SELECT statement to return only rows with unique values. In the following sample, if it were not for the DISTINCT keyword, the result set would consist of a single column with 37 rows one for each row in the ProductSubcategory table. Because there are only four unique ProductCategoryID values, many of the rows would have duplicate values. However, the DISTINCT keyword causes the return of a result set with just four rows one for each unique ProductCategoryID value. You can generate the list yourself from the last sample in the SpecifyingSELECTListItems.sql file. SELECT DISTINCT ProductCategoryID FROM Production.ProductSubcategory
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