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SELECT Title, FirstName, LastName, EmailAddress FROM PersonContact WHERE <search condition>
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Many types of search operators are possible They include:
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Comparison operators (=, <, <=, <>, and so on) String comparisons (LIKE, NOT LIKE) Logical operators (AND, OR, NOT) Ranges (BETWEEN and NOT BETWEEN) Lists of values (IN and NOT IN) Unknown Values (IS NULL and IS NOT NULL) Exists in Subquery (EXISTS and NOT EXISTS)
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4: Transact-SQL
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Avoiding the Negative While search conditions allow us to filter on the negative (NOT, NOT LIKE, NOT IN, NOT EQUAL, and <>), it s generally not a good practice to do so Proving something doesn t exist is harder than proving it exists in the real world The query optimizer within SQL Server has the same problem Queries that include the use of a negative search condition often force full table scans A full table scan isn t such a big deal if your table has 300 rows But for a very large table (say, 30 million rows), a table scan results in significantly poorer performance of the query than using nonnegative search condition queries
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Comparison Operators
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Comparison operators allow us to compare data in the queried table or view and only return rows that meet our search condition Comparison operators and their description are listed in Table 4-1
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Comparison Operator Description
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= < > <= >= <>
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Equal to Less than Greater than Less than or equal to Greater than or equal to Not equal to (!= will work also)
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Table 4-1 Comparison Operators Available in the WHERE Clause
For example, let s say you re asked to get a count of all orders that were made on July 4, 2004 The following query could be used, which combines the >= and the < operators within a Boolean AND statement
SELECT COUNT(*) FROM SalesSalesOrderHeader WHERE OrderDate >= '2003/07/04' AND OrderDate < '2004/07/04'
TIP The COUNT(*) is a function used to count all rows within a tableWe will explore this more in 6 and compare it with the COUNT(columnName) function You might be tempted to try a simple = comparison for the preceding problem, but it wouldn t work consistently with a date Since a datetime data type can hold hours, minutes, seconds, and milliseconds, the following query would require the hours, minutes, seconds, and milliseconds to be the same not just the year, month, and day
MCITP SQL Server 2005 Database Developer All-in-One Exam Guide
SELECT COUNT(*) FROM SalesSalesOrderHeader WHERE OrderDate = '2004/07/27' -- would not work consistently
NOTE When using literal dates within a T-SQL statement, the date is enclosed between single quotes as with strings, and a separator is required between the year, month, and day Let s look at another example, where we re asked to get the e-mail address of all the contacts with a last name of Stone We could enter the following query:
SELECT Title, FirstName, LastName, EmailAddress FROM PersonContact WHERE LastName = 'Stone'
Notice that we put the name Stone in single quotes This identifies it as string data Similarly, if we were searching for contacts that were modified on or after June 29, 2004, we could use the following query:
SELECT Title, FirstName, LastName, EmailAddress FROM PersonContact WHERE ModifiedDate >= '6/29/2004'
Notice that the date is also put into single quotes, but SQL Server recognizes it as a date Numeric values don t need to be surrounded with quotes but instead are entered directly as numbers
String Comparisons (LIKE, NOT LIKE)
String comparisons are great when you want to match patterns within a string, but not necessarily all of the string The keyword to find words with a matching set of characters is LIKE, but the comparison allows us to use several different wildcard characters Available wildcard characters are listed in Table 4-2
Wildcard Character Description
% _ [] [^]
Any string of zero or more characters Any single character Any single character within a range Any single character not within a range
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