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BETWEEN is another useful operator to be used in the WHERE clause. You can use it to specify an inclusive range of values. It is frequently used with dates but can be used with string and numeric data as well. Here is the syntax for BETWEEN: SELECT <column1>,<column2> FROM <schema>.<table> WHERE <column> BETWEEN <value1> AND <value2>; Type in and execute the code in Listing 2-7 to learn how to use BETWEEN. Listing 2-7. Using BETWEEN USE AdventureWorks2008 GO --1 SELECT CustomerID, SalesOrderID, OrderDate FROM Sales.SalesOrderHeader WHERE OrderDate BETWEEN '2001-07-02' AND '2001-07-04'; --2 SELECT CustomerID, SalesOrderID, OrderDate FROM Sales.SalesOrderHeader WHERE CustomerID BETWEEN 25000 AND 25005; --3 SELECT BusinessEntityID, JobTitle FROM HumanResources.Employee WHERE JobTitle BETWEEN 'C' and 'E'; --An invalid BETWEEN expression --4 SELECT CustomerID, SalesOrderID, OrderDate FROM Sales.SalesOrderHeader WHERE CustomerID BETWEEN 25005 AND 25000; Pay close attention to the results of Listing 2-7 shown in Figure 2-6. Query 1 returns all orders placed on the two dates specified in the query as well as the orders placed between the dates. You will see the same behavior from the second query all orders placed by customers with customer IDs within the range specified. What can you expect from query 3 You will see all job titles that start with C or D. You will not see the job titles beginning with E, however. A job title composed of only the letter E would be returned in the results. Any job title beginning with E and at least one other character is greater than E and therefore not within the range. For example, the Ex in Executive is greater than just E, so any job titles beginning with Executive get eliminated.

Summary

Finally, we demonstrated how the GetOrdinal and GetFieldType methods are used. The former returns a column index based on its name; the latter returns the VB type. These are the converses of GetName() and GetDataTypeName(), respectively.

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This chapter focused heavily on how to explore, create, and recover databases. In the area of exploring databases, the chapter covered system catalog views and selected stored procedures. sys.databases was the main catalog view covered in the chapter, but sys.tables and sys.columns were also given some attention. The system-stored procedures for learning about and manipulating databases covered here included sp_helpdb and sp_dboption. The review of creating databases focused on programmatic approaches; see 2 for a demonstration of graphical techniques for creating databases. This chapter illustrated how to create and manipulate databases programmatically with Express SSMS. You were also able to take a close look at the CREATE DATABASE statement from multiple perspectives, including creating a database from scratch as well as attaching data and log files copied from databases that already exist. The chapter s final major section drilled down on backing up and restoring databases. You learned core concepts and saw specific examples that illustrated how to build backup and restore solutions with the BACKUP DATABASE and RESTORE DATABASE statements.

' Get info about each column Console.WriteLine( _ "'{0}' is at index {1} and its type is: {2}", _ rdr.GetName(0), _ rdr.GetOrdinal("contactname"), _ rdr.GetFieldType(0) _ )

Figure 2-6. The partial results of queries with BETWEEN Query 4 returns no rows at all because the values listed in the BETWEEN expression are switched. No values meet the qualification of being greater than or equal to 25,005 and also less than or equal to 25,000. Make sure you always list the lower value first and the higher value second when using BETWEEN.

he main purpose of most relational database managers, such as SQL Server Express, is to store data in a way that can help to model organizations or systems Relational databases store data in tables The tables frequently represent entities that are being modeled, such as the students and classes at a college By expressing relationships between distinct tables, you facilitate the retrieval and maintenance of information for the tables in a database This chapter drills down on data types and table design techniques You need to learn about SQL Server Express (SSE) data types, because picking the wrong data types can waste storage space and cause your database solutions to run slowly Picking the right data types can give you faster, easier, and more flexible options for retrieving data from your database.

So much for obtaining information about result sets. You ll now learn how to get information about schemas.

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