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required to create/alter assemblies and register routines would be the same for Visual Basic and C# assemblies . To clear the root namespace, in Visual Studio select the Project | Properties menu item, click the Application tab, and clear the Root Namespace text box .
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If you examine the Windows application log, you will find that the changes were audited there as well, as shown in Figure 4-1 . If you don t see the events in the Windows application log, make sure that it s not full or that you allow it to be recycled .
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Inside Microsoft SQL Server 2008: T-SQL Programming
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FiguRe 4-1 Application log
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When you re done, run the following code for cleanup:
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IF OBJECT_ID('dbo.T1', 'U') IS NOT NULL DROP TABLE dbo.T1;
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Conclusion
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Triggers allow you to automate processes . Process automation means less manual work and fewer chances to make mistakes and errors . You can use triggers to enforce complex integrity checks, audit changes, maintain denormalized data, and much more . SQL Server 2008 allows you to create triggers for DML statements, DDL and DDL-like statements, and logon events . You can use either T-SQL or .NET as your coding language . Anyone can program triggers, but not everyone can program triggers efficiently . To program triggers efficiently, you need to understand the aspects of working with the inserted and deleted tables, the architecture of the product, the row versioning technology, and potential bottlenecks in the system .
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5
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Transactions and Concurrency
Itzik Ben-Gan
This chapter covers various aspects of concurrency that you need to consider when developing code for SQL Server . It covers transactions, locking, blocking, isolation levels, and deadlocks . It also covers the new LOCK_ESCALATION option of ALTER TABLE, which gives you better control over how lock escalation behaves . Note In this chapter I cover features that are directly related to transactions and concurrency .
Some other new features in SQL Server 2008 may have an impact on concurrency, especially if they improve the performance of certain activities and as a result finish sooner and release locks more quickly . In cases where I felt that a certain new feature is more closely related to a main topic that is covered elsewhere, I covered it there . For example, I covered improvements in minimally logged operations and the new MERGE statement in the prequel to this book: T-SQL Querying .
Transactions allow you to define a unit of activity that will be considered atomic all or nothing . The data will be considered consistent at the beginning of the transaction and at the end . Locks are obtained to isolate data resources, preventing other processes from performing incompatible activities against those resources . You can control the degree of isolation of your transaction by specifying an isolation level . I will describe isolation levels in more detail later in the chapter . The database s transaction log guarantees that a committed transaction recorded within it is durable that is, the change will reach the database . The aforementioned aspects of transactions are known as ACID (Atomicity, Consistency, Isolation, and Durability) . One aspect of database programming that determines whether a project rises or falls is the application s treatment of concurrency multiple processes interacting with the same data . You have to understand the vision of the designers of the database product in terms of concurrency to develop well-behaving applications . You need to understand which concurrency models the product supports and which it uses by default so that you know how to override the default if it s not suitable for your system . For example, by default Oracle uses an optimistic concurrency model, where writers never block readers unless the reader requests that behavior explicitly . This functionality is supported because the product is able to construct an earlier consistent (committed) version of the data . Microsoft SQL Server uses by default a pessimistic concurrency model based on locking and blocking . In the pessimistic concurrency model, SQL Server maintains only one image of each row . An uncommitted change applied by a process to a row renders
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