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A quick walk-through of this example is called for here. In VERSION mode, the rst parameter to the function is the target table. The second parameter is a comma-delimited list of the primary key columns on the target table. The third parameter is a comma-delimited list, in the same order, of the associated primary key columns from the target table as used in the query. The columns are internally correlated in this order to support the joins necessary to get the baseline versions of each row. When this query is executed, the query processor scans the target table, visiting each row and getting the values for every column, along with the value of the hidden column (the last transaction ID that modi ed the row). This transaction ID is used as a key to join to the Commit Table to pick up the associated CSN and to populate the sys_change_version column. The transaction ID and primary key are also used to join to the internal tracking table in order to populate the sys_change_context column. Once a baseline has been acquired, it is up to the data consumer to call the CHANGE_ TRACKING_CURRENT_VERSION function, which returns the maximum Change Tracking version number currently stored in the database. This number becomes the baseline version number that the application can use for future synchronization requests. This number is passed into the CHANGETABLE function in CHANGES mode to get subsequent versions of the rows in the table, as in the following example:

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DECLARE @last_version BIGINT = 8; SELECT c.*

2

You might not have realized that by giving a type to your data, you actually added data integrity verification to your database. Try modifying one of the Color rows by changing the Metallic column to read Helloworld instead of true or false. You ll get an error message telling you that the Metallic field is of type Boolean. To show how data integrity is preserved using the foreign key constraints, you ll add two Listing rows. You will enter more rows when using your Windows Forms application. 5. Right-click the Listing table, select Show Table Data, and add the two rows shown in Table 8-7.

FROM CHANGETABLE ( CHANGES AdventureWorks2008.HumanResources.Employee, @last_version ) c;

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This query returns a list of all changed rows since version 8, along with what operation caused each row to be modi ed. Note that the output re ects only the most recent version of the row as of the time that the query is run. For example, if a row existed as of version 8 and was subsequently updated three times and then deleted, this query shows only one change for the row: a delete. This query includes in its output the primary keys that changed, so it is possible to join to the target table to get the most recent version of each row that changed. Care must be taken to use an OUTER JOIN in that case, as shown in the following example, as a row may no longer exist if it was deleted:

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EDI can be leveraged to support the XML modifications This allows a migration from proprietary EDI tools to more general XML applications The EDI-XML information can take advantage of XSL, XSLT, XLink, and other XML technologies, promising forward compatibility with future technologies This example demonstrates how XML can be used to provide backward compatibility to leverage an existing legacy system For more information about XML and EDI, see 7

DECLARE @last_version BIGINT = 8; SELECT c.SYS_CHANGE_VERSION, c.SYS_CHANGE_OPERATION, c.SYS_CHANGE_CONTEXT, e.* FROM CHANGETABLE ( CHANGES AdventureWorks2008.HumanResources.Employee, @last_version ) c LEFT OUTER JOIN AdventureWorks2008.HumanResources.Employee e ON e.BusinessEntityID = c.BusinessEntityID;

When CHANGETABLE is run in CHANGES mode, the various internal structures are used slightly differently than in the VERSION example. The rst step of the process is to query the Commit Table for all transaction IDs associated with CSNs greater than the one passed in to the function. This list of transaction IDs is next used to query the internal tracking table for the primary keys associated with changes rendered by the transactions. The rows that result from this phase must be aggregated based on the primary key and transaction sequence identi er from the internal table to nd the most recent row for each primary key. No join to the target table is necessary in this case unless the consumer would like to retrieve all associated row values. Because rows may be changing all the time including while the application is requesting a list of changes it is important to keep consistency in mind when working with Change Tracking. The best way to ensure consistent results is to either make use of SNAPSHOT isolation if the application retrieves a list of changed keys and then subsequently requests the row value, or READ COMMITTED SNAPSHOT isolation if the values are retrieved using a JOIN. SNAPSHOT isolation and READ COMMITTED SNAPSHOT isolation are discussed in 10.

08/11/2008

Query tuning, optimization, and general troubleshooting are all made possible through visibility into what s going on within SQL Server; it would be impossible to x problems without being able to identify what caused them. SQL Trace is one of the more powerful tools provided by SQL Server to give you a real-time or near-real-time look at exactly what the database engine is doing, at a very granular level. Included in the tracing toolset are 180 events that you can monitor, lter, and manipulate to get a look at anything from a broad overview of user logins down to such ne-grained information as the lock activity done by a speci c session id (SPID). This data is all made available via SQL Server Pro ler, as well as a series of server-side stored procedures and .NET classes, giving you the exibility to roll a custom solution when a problem calls for one.

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