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Figure 4-12. Data in PolicyHistory_staging table from Example 4-10.ps1 The information from the XML file is now stored in the table that was created in Listing 4-11, but the information is still not in a format that is easy to consume. You can make things easier by creating a view to shred the XML and pull out the information that you want to see. Listing 4-13 shows the definition for such a view. Listing 4-13. Creating the vw_PolicyResults view CREATE VIEW [dbo].[vw_PolicyResults] AS WITH XMLNAMESPACES ('http://schemas.microsoft.com/sqlserver/DMF/2007/08' AS XMLNS) SELECT EvalServer, EvalDateTime, EvalPolicy, ResultNodes.NodeDetails.value('(../XMLNS:TargetQueryExpression)[1]', 'nvarchar(150)') AS EvaluatedObject, (CASE WHEN ResultNodes.NodeDetails.value('(../XMLNS:Result)[1]', 'nvarchar(150)')= 'FALSE' AND NodeDetails.value('(../XMLNS:Exception)[1]', 'nvarchar(max)') = '' THEN 0 WHEN ResultNodes.NodeDetails.value('(../XMLNS:Result)[1]', 'nvarchar(150)')= 'FALSE' AND NodeDetails.value('(../XMLNS:Exception)[1]', 'nvarchar(max)')<> '' THEN 99 ELSE 1 END) AS PolicyResult FROM dbo.PolicyHistory_staging CROSS APPLY EvalResults.nodes(' declare default element namespace "http://schemas.microsoft.com/sqlserver/DMF/2007/08"; //TargetQueryExpression') AS ResultNodes(NodeDetails) GO The view created in Listing 4-13 lets you get at the individual bits of data by shredding the XML and presenting the data elements in columns with the following, easily referenced names:

We start with a summary of a standard transaction. However, keep in mind that everything we are going to write applies to more than just database operations. In most cases, it is true that a database is heavily involved, but nothing stops us from extending the concept of transactions from the database to other transactional resources. Transactions have the four well-known ACID properties atomicity, consistency, isolation, and durability and the transactional resources must maintain these aspects of a transaction. You cannot control the atomicity, consistency, or durability of a transaction, but you can control the timeout, set whether the transaction should be read-only, and specify the isolation level.

combined so the data for the reports is useful This is tedious work, and it is easy to make a mistake.

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In an ideal situation, you would not have to worry about independence, either: all transactions would be completely independent. In reality, having independent transactions means executing the transactions serially (i.e., one after another). This ensures complete isolation but severely limits the throughput of the system. You can use the isolation level value to control how independent the transactions really are.

Spring encapsulates all these settings in the TransactionDefinition interface. This interface is used in the core interface of the transaction support in Spring, the PlatformTransactionManager, whose implementations perform transaction management on a specific platform, such as JDBC or JTA. The core method, PlatformTransactionManager.getTransaction(), returns a TransactionStatus reference, which is used to control the transaction execution; more specifically, it can be used to set the transaction result and to check whether the transaction is read-only or whether it is a new transaction.

For most projects, I need to answer some or all of the following questions if not every day, at least once a week: How much work is left When will that work be done How much of the work is unplanned How good are we at handling bugs finding, fixing, closing them Are we actually finding the right bugs How productive are the teams of the project How are we using the resources on the team Is it really optimal that I should have to chase down this information every time I need it Shouldn t I instead just be able to generate the reports, preferably automatically, so I can focus on more-important tasks And wouldn t it be better if reports were available on the Web or intranet so the steering group or other stakeholders could more easily access this information when they want it That way, the steering group meeting could be spent in a more productive manner, using time to discuss important things such as prioritization of requirements.

As we mentioned earlier, the TransactionDefinition interface controls the properties of a transaction. Let s take a more detailed look at the TransactionDefinition interface (see Listing 16-1) and describe its methods.

EvalServer: The instance that the policy was evaluated against EvalDateTime: The date/time of the policy evaluation EvalPolicy: The name of the policy that was evaluated EvaluatedObject: The name of the object that the policy was evaluation against PolicyResult: A pass (1)/fail (0) indicator Query the view, and the results should look like those in Figure 4-13. Now you can easily query, analyze, and report on your policy evaluations.

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