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At this point the table is defined for CDC. A number of tables and functions are created in the AdventureWorks2008 database to support CDC, along with two SQL Server Agent jobs for capturing and cleaning up captured data. To simulate and view captured changes, let s run the script shown in listing 6.7.

@begin_time datetime @end_time datetime @from_lsn binary(10) @to_lsn binary(10)

-- Set the start time for the CDC query to 2 minutes ago SET @begin_time = dateadd(MI, -2, GETDATE()) -- Make a change to the Production.Product table UPDATE Production.Product SET Name = 'AWC Logo Cap (XL)' WHERE ProductID = 712 -- Get the end time for the CDC query SET @end_time = GETDATE()

Fig 7-11

-- Wait for 10 seconds to allow the CDC process to record the change WAITFOR DELAY '00:00:10' -- Map the time intervals to log sequence numbers for CDC SELECT @from_lsn = sys.fn_cdc_map_time_to_lsn( 'smallest greater than or equal', @begin_time ) SELECT @to_lsn = sys.fn_cdc_map_time_to_lsn( 'largest less than or equal', @end_time ) -- Return the Changes from CDC SELECT * FROM cdc.fn_cdc_get_all_changes_Production_Product( @from_lsn , @to_lsn , 'all'); GO

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Let s walk through the code in listing 6.7 to understand the steps:

First, after declaring variables, we initialize @begin_time to 2 minutes ago. CDC queries work by providing a transaction log sequence number (LSN) range in which to return changes. To derive the LSN numbers, we use date ranges and the sys.fn_cdc_map_time_to_lsn function discussed shortly. Next up, we run a modify statement on the Production.Product table. This is the change CDC will capture for us. We then capture the @end_time using the GETDATE() function. CDC captures changes using a SQL Agent job that reads the transaction log. The 10-second pause statement is inserted in order to give the Agent a chance to capture the change. The next two statements capture the starting and ending LSN numbers using the start and end date time values captured earlier. Finally, we select from the cdc.fn_cdc_get_all_changes_Production_Product function passing in the from/to LSN values as parameters. This function was automatically created for us when we enabled CDC on the Production.Product table in listing 6.6.

The value x = 1 requires a negative square root to work in both original equations and is seen from Fig 7-1 1 as incorrect The value x = 4 is the correct limit value The x = 1 point is a spurious one caused by squaring a square root and then factoring the resulting equation With the limits, set up the integral from 0 to 4 of the upper curve minus the lower curve and integrate

The output of the final select command in listing 6.7 is shown in figure 6.14. After the required database and tables are defined, Change Data Capture enables a real-time, lightweight method of auditing changes to tables. SQL Server BOL contains a complete description of all of the functions we ve used in this simple example, along with a range of other features of Change Data Capture. The ability to easily define granular auditing solutions without the need for thirdparty tools or custom server-side traces is a powerful weapon in creating and managing secure SQL Server environments. In the next section, we ll take a look at another security feature that has been significantly enhanced in SQL Server 2008: encryption.

SQL Server 2005 introduced the ability to encrypt data at rest, meaning data stored within the database itself. Known as cell-level encryption, this was a welcome addition to the other encryption features in earlier versions that allowed encryption of data in transit, such as network encryption with SSL.

Figure 6.14 Output from the cdc.fn_cdc_get_all_changes_Production_Product Change Data Capture function

A = f[(l+ &)- (x - l)]& = f(2

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