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In the following hypothetical scenario, our organization has a small team that is responsible for employee benefits . The members of this team work directly in the field with the employees . To facilitate this, they have been provided with a small Windows Forms based application called TeamView that has been written within the organization and which allows them to view (and potentially correct) details regarding the employees they meet with . At present, the TeamView application connects to the SQL Server system when the employee benefit team members are in the office . Each time the application connects, it retrieves the complete list of employee details from the server . The intention is to use change tracking in SQL Server 2008 to minimize the amount of data transferred when this sync operation occurs and make it possible for the employee benefit team members to perform sync operations across the low bandwidth offered by the Internet connections on their phones, by only transferring the data that has changed . We start by modifying the InsideTSQL2008 database to support change tracking:

Since all distributed systems share some basic characteristics, they also have some challenges in common. In this section, we examine common issues faced by every distributed system architect, as well as the strategies and design goals frequently employed to overcome them.

USE InsideTSQL2008; GO ALTER DATABASE InsideTSQL2008 SET ALLOW_SNAPSHOT_ISOLATION ON; ALTER DATABASE InsideTSQL2008 SET CHANGE_TRACKING = ON;

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Change tracking needs to be enabled at the database level before it is enabled at the table level . Note that we have also enabled snapshot isolation on the database . Most tasks in change tracking require multiple steps and the easiest way to maintain consistency is to change the transaction isolation level for the session to snapshot . The change to snapshot isolation level needs to be enabled at the database level first . Although it is possible to use change tracking in SQL Server 2008 without snapshot isolation, doing so adds another level of complexity to the design . In general, it is recommended that you use snapshot isolation level when working with change tracking . The performance implications of this (although not necessarily large) need to be considered . We will use it for our transactions by executing the following session command:

We can see databases that are enabled for change tracking by querying a new system view:

Heterogeneity of system components Computer hardware and software comes in seemingly infinite varieties, and you never find two components from different vendors that are exactly alike. This is true for computers, networks, and software products, as well as the applications built on top of them. The nature of a distributed system prevents us from making bold predictions about when and how various services and applications are going to be implemented, where they will need to run, or how they will need to be extended. After all, a key benefit of the distributed model is that the system can grow incrementally over time. There are two primary strategies you can employ to overcome the problem of heterogeneity. The first is to abstract the differences in computing environments by using middleware, as described in section 1.1.1. This enables you to write more general applications and services that can be deployed to many

SELECT d.name AS DatabaseName, ctd.is_auto_cleanup_on AS AutoCleanup, CAST(ctd.retention_period AS varchar(10)) + ' ' + ctd.retention_period_units_desc AS RetentionPeriod FROM sys.change_tracking_databases AS ctd INNER JOIN sys.sysdatabases AS d ON ctd.database_id = d.dbid ORDER BY DatabaseName;

It returns the following output:

DatabaseName AutoCleanup RetentionPeriod -------------- ----------- --------------InsideTSQL2008 1 2 DAYS

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