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SELECT OBJECT_NAME(object_id) AS TableName ,page_count ,ROUND(avg_page_space_used_in_percent, 2) AS avg_page_space_used_in_percent FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('Test.BigWaste'), NULL, NULL, 'DETAILED') UNION ALL SELECT OBJECT_NAME(object_id) AS TableName ,page_count ,ROUND(avg_page_space_used_in_percent, 2) AS avg_page_space_used_in_percent FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('Test.OnlyALittleWaste'), NULL, NULL, 'DETAILED') ORDER BY TableName;

BATCHES = { ENABLED | DISABLED } ]

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Ian Mclean Often the analysis of queries is not particularly demanding. For example, I once did some work for a professional society with a large number of members worldwide, which frequently carried out searches based on the first few (typically three) letters of a member s surname. The Surname column stored data in mixed case by using case-sensitive collation. So that all members were located, the query used the UPPER function for example:

, WSDL = { NONE | DEFAULT | 'sp_name' } ]

TableName BigWaste OnlyALittleWaste page_count 5,000 5,000 avg_page_space_used_ in_percent 74.33 99.04

, SESSIONS = { ENABLED | DISABLED } ]

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Note that both tables use exactly the same number of pages to store their data, even though each row in the OnlyALittleWaste table is 1,000 bytes wider than in the BigWaste table. As you can see, in this example, almost 26 percent of the BigWaste table s size is wasted on empty page space. If this table was 10 GB in size, 26 percent would amount to 2.6 GB.

, LOGIN_TYPE = { MIXED | WINDOWS } ]

, SESSION_TIMEOUT = timeoutInterval | NEVER ]

SELECT Surname FROM Members WHERE UPPER(Surname) LIKE 'MAC%'

De-normalizing a database design implies storing data redundantly. The benefit of this is typically less work for the database engine when reading data, while it means more work when writing data because of the need to update more places than one. De-normalizing can also result in bugs when redundant data is not updated accordingly. De-normalizing a database design should typically be used as a last resort. That said, denormalization can increase performance dramatically. In fact, you could say that indexing,

, DATABASE = { 'database_name' | DEFAULT }

, NAMESPACE = { 'namespace' | DEFAULT } ]

, SCHEMA = { NONE | STANDARD } ]

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Every time such a query ran against the Members database, every record had the UPPER function applied to the Surname column. The queries were notoriously slow. The query needed to perform a case-insensitive search, and the collation could not be changed. My first step was to add a column to the database table:

and especially indexed views, is de-normalizing at the physical level. The great benefit with de-normalizing at the physical level is that the database engine will maintain the redundant data for you. An example of de-normalization is to store the finished result of certain queries in a table, and instead of executing these queries again, to just read the result directly from that table. If this is what you need, you should probably first look at the possibility of caching the result of these queries in the application. Another use of de-normalization is to redundantly store columns from a parent table in a child table, for example:

, CHARACTER_SET = { SQL | XML }]

, HEADER_LIMIT = int ]

USE AdventureWorks; -- Add the column to the child table. ALTER TABLE Sales.SalesOrderHeader ADD CustomerAccountNumber VARCHAR(10) NULL; GO -- Update the child table's column with values from the -- parent table. UPDATE soh SET CustomerAccountNumber = c.AccountNumber FROM Sales.SalesOrderHeader AS soh INNER JOIN Sales.Customer AS c ON soh.CustomerID = c.CustomerID;

You can use either Windows authentication or certificates as the authentication method for the endpoint connection. You set Windows-based authentication by spec ifying the NTLM, KERBEROS, or NEGOTIATE option. The NEGOTIATE option causes instances to dynamically select the authentication method. For certificatebased authentication, you can use a certificate from a trusted authority or generate your own Windows certificate.

ALTER TABLE Employees ADD UCSurname AS UPPER(Surname)

Now the following query can be executed without joining to the parent table:

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