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In addition to row compression and page compression, SQL Server provides sparse columns, which let you optimize NULL value storage in columns. The trade-off (and you knew there would be one) is that the cost of storing non-NULL values goes up by 4 bytes for each value. Microsoft recommends using sparse columns when it will result in at least 20 to 40 percent space savings. For an int column, for instance, at least 64 percent of the values must be NULL to achieve a 40 percent space savings with sparse columns. To demonstrate sparse columns in action, I ll use a query that generates columns with a lot of NULLs in them. The query shown in Listing 19-10 creates a pivot-style report that lists the CustomerID numbers associated with every sales order down the right-hand side of the results, and a selection of product names from the sales orders. The intersection of each CustomerID and product name contains the number of each item ordered by each customer. A NULL indicates that a customer did not order an item. Partial results of this query are shown in Figure 19-12. Listing 19-10. Pivot Query That Generates Columns with Many NULLs SELECT CustomerID, "HL Road Frame - Black, 58", "HL Road Frame - Red, 58", "HL Road Frame - Red, 62", "HL Road Frame - Red, 44", "HL Road Frame - Red, 48", "HL Road Frame - Red, 52", "HL Road Frame - Red, 56", "LL Road Frame - Black, 58" FROM ( SELECT soh.CustomerID, p.Name AS ProductName, COUNT ( CASE WHEN sod.LineTotal IS NULL THEN NULL ELSE 1 END ) AS NumberOfItems FROM Sales.SalesOrderHeader soh INNER JOIN Sales.SalesOrderDetail sod ON soh.SalesOrderID = sod.SalesOrderID INNER JOIN Production.Product p ON sod.ProductID = p.ProductID GROUP BY soh.CustomerID, sod.ProductID, p.Name ) src

PIVOT ( SUM(NumberOfItems) IN ( "HL Road Frame "HL Road Frame "HL Road Frame "HL Road Frame "HL Road Frame "HL Road Frame "HL Road Frame "LL Road Frame ) ) AS pvt;

See We covered most of the common information already, so this was a lot less information to digest..

the domain level: account policies, account lockout policies, and Kerberos policies. Even if you set different values for these items at an OU level, your domain users will still be held to the settings configured for the domain.

Black, 58", Red, 58", Red, 62", Red, 44", Red, 48", Red, 52", Red, 56", Black, 58"

File Transfer Protocol (FTP)

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Figure 19-12. Pivot query that returns the number of each item ordered by each customer Listing 19-11 creates two similar tables to hold the results generated by the query in Listing 19-10. The tables generated by the CREATE TABLE statements in Listing 19-11 have the same structure, except that the SparseTable includes the keyword SPARSE in its column declarations, indicating that these are sparse columns. Listing 19-11. Creating Sparse and Nonsparse Tables CREATE TABLE NonSparseTable ( CustomerID int NOT NULL PRIMARY KEY, "HL Road Frame - Black, 58" int NULL, "HL Road Frame - Red, 58" int NULL, "HL Road Frame - Red, 62" int NULL, "HL Road Frame - Red, 44" int NULL, "HL Road Frame - Red, 48" int NULL, "HL Road Frame - Red, 52" int NULL, "HL Road Frame - Red, 56" int NULL, "LL Road Frame - Black, 58" int NULL );

What we ve just described is the default behavior of Group Policy inheritance. But like anything else within Active Directory, you can customize these rules to finely control the way that Group Policies are deployed throughout your network. You can do this using security filtering with Active Directory security groups and Windows Management Instrumentation WMI filters, and by changing the default inheritance behavior for certain Organizational Units within your AD structure.

FTP is one of the oldest file transfer protocols still in use. As the name suggests, it is a protocol for copying files between two computers, nothing more. So, unlike AFP, SMB, or NFS, you wouldn t work directly on a file that resides on an FTP share. FTP is only for copying files back and forth.

CREATE TABLE SparseTable ( CustomerID int NOT NULL PRIMARY KEY, "HL Road Frame - Black, 58" int SPARSE NULL, "HL Road Frame - Red, 58" int SPARSE NULL, "HL Road Frame - Red, 62" int SPARSE NULL, "HL Road Frame - Red, 44" int SPARSE NULL, "HL Road Frame - Red, 48" int SPARSE NULL, "HL Road Frame - Red, 52" int SPARSE NULL, "HL Road Frame - Red, 56" int SPARSE NULL, "LL Road Frame - Black, 58" int SPARSE NULL ); After using the query in Listing 19-10 to populate these two tables, you can use the sp_spaceused procedure to see the space savings that sparse columns provide. Listing 19-12 executes sp_spaceused on these two tables, both of which contain identical data. The results shown in Figure 19-13 demonstrate that the SparseTable takes up only about 25 percent of the space used by the NonSparseTable since NULL values in sparse columns take up no storage space. Listing 19-12. Calculating the Space Savings of Sparse Columns EXEC sp_spaceused N'NonSparseTable'; EXEC sp_spaceused N'SparseTable';

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