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Numerous vendors provide tools that support creation of setup programs. These tools typically support creation of disks, CDs, DVDs, or installing over the web. They check whether common library files already exist on the target installation machine, perform version checking, and so on.

CLR method headers : 24 Num.of method bodies 2 Num.of fat headers 2 Num.of tiny headers 0 Managed code : 18 Ave method size 9

This trigger simply prints the values provided in each new row inserted by the triggering INSERT action . It demonstrates how to deal with each row individually . The trigger then counts the number of rows returned by a TOP (2) query against inserted, and stores the result in a variable called @rc . Possible result values are 0, 1, and 2, indicating that zero, one, or more rows, respectively, were affected by the action that caused the trigger to fire . Note Prior to SQL Server 2008 I simply evaluted the @@rowcount function within the trigger

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Table 12.3 Query and document weight calculations exactly as performed in table 12.1 D = 10,000,000, the number of documents in the repository Term counts (tf) Terms gold truck Q 1 1 D1 2 3 D2 1 6 Df 80,000 120,000 D/df 125.0 83.33 Idf 2.097 1.921 Weights (w = tf * idf) Q 2.097 1.921 D1 4.194 5.763 D2 2.097 11.526

Because a plan is in cache, it will be reused, which is unfortunate in this case . I provided an input value earlier than the earliest orderdate in the table . This means that all rows in the table (830) qualify . The plan will require a clustered index lookup for each qualifying row . This invocation generated 1,664 logical reads, even though the whole Orders table resides on 21 data pages . Keep in mind that the Orders table is very small and that in production environments such a table would typically have millions of rows . The cost of reusing such a plan would then be much more dramatic given a similar scenario . For example, take a table with 1,000,000 orders residing on about 25,000 pages . Suppose that the clustered index contains three levels . Just the cost of the lookups would then be 3,000,000 reads: 1,000,000 3 = 3,000,000 . Obviously, in a case such as this, with a lot of data access and large variations in selectivity, it s a very bad idea to reuse a previously cached execution plan . Similarly, if you invoke the stored procedure for the first time with a low selectivity input, you get a plan that is optimal for that input one that issues a table scan (unordered clustered index scan) and that plan would be cached . Then, in later invocations, the plan would be reused even when the input has high selectivity . You can observe the fact that an execution plan was reused by querying the sys.syscacheobjects view, which contains information about execution plans:

The Java java.net.Stack class has been around since Java 1.0 and is derived from the Vector class. This presents a potential misuse problem whereby a reference to a Stack can be cast to a Vector, allowing the underlying elements to be manipulated as a list. The .NET implementation isn't derived from any other collection and can't be misused in this manner. Table 9-6 shows the mapping between the Java and .NET stack classes.

@Target({}) @Retention(RUNTIME) public @interface UniqueConstraint { String[] columnNames(); }

The way this line is written makes it look as if a SomeVal instance will be allocated on the managed heap . However, the C# compiler knows that SomeVal is a value type and produces code that allocates the SomeVal instance on the thread s stack . C# also ensures that all of the fields in the value type instance are zeroed .

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