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Specifying Items to Select from a Data Source
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The SELECT statement is the core SQL tool for expressing queries. Because this statement is so fundamental to so many tasks that you can do with SQL Server Express, previous chapters demonstrated the use of the SELECT statement to show the impact of various SQL Server Express features. Starting with this section, this chapter systematically explores many popular techniques for using SELECT statements to generate query results from a single data source. In this section, you will specifically learn tricks and techniques for Specifying and calculating the column values in a result set Extracting a fixed number or percent of rows from a full result set Formatting the display of date and time values in a result set
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CHAPTER 5 CREATING QUERIES FROM A SINGLE DATABASE OBJECT
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Designating a data source based on a single database in the current database context or another database Returning result sets from a remote server using either ad hoc queries or linked servers
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Specifying SELECT List Items
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Every SELECT statement for retrieving data from a data source must have two parts: a SELECT list and a FROM clause. The list specifies the columns you wish to return in the result set generated by the SELECT statement. The FROM clause designates a data source that the SELECT statement searches to generate a result set. This section drills down on several important aspects of SELECT list design. The samples discussed in this section appear in the SpecifyingSELECTListItems.sql file. The following SELECT statement illustrates a number of SELECT statement features. A SELECT statement for a query always operates in the context of a database setting. The USE statement in the following code snippet instructs the SELECT statement to look for the data source specified in the FROM clause in the AdventureWorks database. Items in a SELECT list normally refer to columns in one or more data source arguments in the FROM clause. The ProductCategoryID and Name columns in the result set derive from the ProductCategory table in the Production schema. By specifying column names, you can filter which columns from a data source appear in a result set. Using the * wildcard can return all columns to a result set. Unless you really need all the columns from a data source, it is preferable to name a subset of columns for a result set. Queries specifying a subset of columns can run faster by returning just the column values that you need. For tables containing columns with long character sequences within many rows, this performance effect can be noticeable. You can specify a column alias to assign an alternative name to the column s name in the underlying data source. The use of Category name in the SELECT list within single quotes illustrates a common way to designate a column alias.
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A schema separates containership from ownership. A schema can contain a set of database objects without directly implying ownership. 8 addresses this topic in the context of security.
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USE AdventureWorks GO SELECT ProductCategoryID, Name 'Category name' FROM Production.ProductCategory The preceding script returns a result set with four rows of two columns. The actual values appear next. Notice the second column heading in the result set is Category name instead of Name, which is the column name from the underlying data source. One significant advantage of a column alias is to assign a name that improves the clarity of the output relative to the column name from an underlying data source. Since the next example will also reference a column named Name from a different data source, giving an alias to the column in this query helps to distinguish between the two query statements and their output.
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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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