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Change tracking is a feature that adds the ability to determine, at a glance, which rows in a table have changed in a specified period of time. This can be useful for synchronizing data between the primary database and a middle-tier data cache, and for allowing semi-connected applications to detect conflicts when updates have been made on both sides. Change tracking is meant to allow you to identify the rows that changed, but does not keep any information about the values that were changed (for example,

To set up a new SMTP server, use a make new smtp server command as shown in the next example This command is ticklish and may require some juggling to make it work correctly The example assigns the server address (smtpacmevirtualindustriescom) to the variable smtpserver and the user name (w_acme) to the variable smtpuser, and then uses the make new smtp server command with the smtpserver variable to create the new smtp server object It then uses a tell block to set the authentication, the user name, and the password

a previous version of the row). Change tracking occurs synchronously, so there is some overhead to the process. In general, the overhead is equivalent to the maintenance costs of adding an additional nonclustered index to the table. The process assumes that you can always get the current version of the row directly from the table, and that you only care about knowing whether or not a row has changed. (Change tracking is described more in-depth in Books Online, starting at the topic, Change Tracking, at http:/ /msdn.microsoft.com/en-us/library/ cc280462.aspx.) To set up change tracking on a table, the table must have a primary key, and you must first enable the feature at the database level. (Books Online also suggests that the database must be at least at a compatibility level of 90, and that snapshot isolation is enabled.) Using the HR database and the dbo.Employees table created in the previous section, you can enable change tracking as shown in listing 7.

We talked a lot about changing the settings If you re using a brokerage firm s chart program, call the Help Desk for directions on changing the default settings If you are using StockChartscom, here are the step-by-step instructions for changing the MACD chart settings: 1 A stock chart of $SPX or other index should be in front of you You will see MACD displayed at the bottom of the chart 2 Scroll lower until you see the MACD settings of (12,26,9) under Indicators (If you don t see MACD, click on

ALTER DATABASE HR SET ALLOW_SNAPSHOT_ISOLATION ON; ALTER DATABASE HR SET CHANGE_TRACKING = ON (CHANGE_RETENTION = 3 DAYS, AUTO_CLEANUP = ON); GO USE HR; GO ALTER TABLE dbo.Employees ENABLE CHANGE_TRACKING WITH (TRACK_COLUMNS_UPDATED = OFF); GO

tell application "Mail" set smtpserver to "smtpacmevirtualindustriescom" set smtpuser to "w_acme" set mysmtp to make new smtp server with properties {server name:smtpserver, uses ssl:false} tell mysmtp set authentication to password set user name to smtpuser set password to "beepbeep" end tell end tell

At the database level, the option CHANGE_RETENTION indicates how long you keep information about rows that have changed. If the applications last checked for changed data before that period started, then they will need to proceed as if the entire table is brand new (so a caching application, for example, will need to reload the entire table and start from scratch). AUTO_CLEANUP is the option that specifies whether this periodic purging should take place, and it can be disabled for troubleshooting purposes. Although this sounds like something that requires SQL Server Agent, it is handled by an internal background task. It will work on all editions of SQL Server, including Express Edition, with or without SQL Server Agent enabled. At the table level, the TRACK_COLUMNS_UPDATED option is used to specify whether the system should store information about which columns were changed, or store the fact that the row was changed. The former can be useful for an application that tries to synchronize or cache data from a table that contains both an INT column and a LOB column (for example, VARCHAR(MAX)). Instead of pulling an identical copy of the LOB column for a row that changed, it can ignore that column and keep its local copy if it knows that it was not a part of any update that has happened since it was last loaded.

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