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the nonclustered index key has some columns in common with the clustering key, SQL Server stores the common columns only once in the nonclustered index row. For example, if the key of your clustered index is EmployeeID, and you have a nonclustered index on (Lastname, EmployeeID, SSN), then the index rows do not store the value of EmployeeID twice. In fact, the number of columns and the column order do not matter. For this example (as it s not generally a good practice to have a wide clustering key), imagine a clustering key that is de ned on columns b, e, and h. The following nonclustered indexes would have these column(s) added to make up the nonclustered index leaf-level rows (the columns if any that are added to the leaf level of the nonclustered index, are italicized and bolded):

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To review the physical structures of a nonclustered index created on a table that is clustered, we review the UNIQUE constraint on the SSN column of the Employee table:

-- Add the NONCLUSTERED UNIQUE KEY on SSN for Employee ALTER TABLE Employee ADD CONSTRAINT EmployeeSSNUK UNIQUE NONCLUSTERED (SSN); GO

XML is all about data, so the most logical first step is to construct a data model of the project A process map of the data flow would also be handy The data model provides the guidance needed to create the data elements that are used to define the tags in the XML documents

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To gather information on the data size and number of levels, we use the DMV. However, before we can use the DMV, we need the speci c index ID for parameter 3. To see the index ID assigned to this nonclustered index, we can use a query against sys.indexes:

1 using System; 2 using System.Collections.Generic; 3 using System.Text; 4 5 namespace MyFirstConsoleApplication 6 { 7 8 9 10 11 class Program { static void Main(string[] args) { // Declaring two integer variables that will hold // the 2 parts of the sum and one integer variable to // hold the sum 12 13 14 15 16 17 18 19 20 21 // Adding the two integers and storing the result in the // sum variable // Assigning two values to the integer variables number1 = 10; number2 = 5; int number1; int number2; int sum;

SELECT name AS IndexName, index_id FROM sys.indexes WHERE [object_id] = OBJECT_ID ('Employee'); GO RESULT: IndexName ---------------EmployeePK EmployeeSSNUK

index_id -------1 2

SELECT index_depth AS D , index_level AS L , record_count AS 'Count' , page_count AS PgCnt , avg_page_space_used_in_percent AS 'PgPercentFull' , min_record_size_in_bytes AS 'MinLen'

6

Microsoft Visual C# 2008 Express Edition: Build a Program Now!

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, max_record_size_in_bytes AS 'MaxLen' , avg_record_size_in_bytes AS 'AvgLen' FROM sys.dm_db_index_physical_stats (DB_ID ('IndexInternals') , OBJECT_ID ('IndexInternals.dbo.Employee') , 2, NULL, 'DETAILED'); GO RESULT: D L -- ------2 0 2 1

The data model provides a list of data types used in the project The data types have interrelationships that can be represented as a hierarchy Some data types may be combined with others to form a more general data type Perform the analysis to address these issues Then create a set of XML data element types that correspond to the project data types from the data model

Count -------80000 179

PgCnt ------179 1

PgPercentFull ---------------99.3661106992834 44.2055843834939

22 23 24 25 26 27 28 } } }

MinLen -------16 18

MaxLen ------16 18

AvgLen -----16 18

Use the data element types to draft a set of DTDs or schemas It is outside of the scope of this book to describe the details of programming DTDs or schemas, but there are plenty of excellent books for the interested developer The draft DTD will be a model to use when investigating industry DTDs

In this case, the leaf level of the nonclustered index (level 0) shows a record count of 80,000 (there are 80,000 rows in the table) and a minimum, maximum, and average length of 16 (these are xed-width index rows). This breaks down very clearly and easily the nonclustered index is de ned on the SSN column (a xed-width character column of 11 bytes), the table has a clustering key of EmployeeID so the data row s bookmark (the clustering key) is 4 bytes, and because this row is a xed-width row with no columns that allow NULL values, the row overhead is 1 byte (11 + 4 + 1 = 16 bytes). To see the data stored more speci cally, we can use DBCC IND to review the leaf-level pages of this index:

sum = (number1 + number2); // Displaying a string with the 2 numbers and the result. Console.WriteLine( The sum of + number1.ToString() + and + number2.ToString() + is + sum.ToString());

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