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The SET ROWCOUNT n function stops the processing of the SELECT command, or even UPDATE and DELETE commands, described in the Updating Data and Deleting Data sections respectively, once the number of rows defined has been reached. The difference between SET ROWCOUNT and SELECT TOP n is that the latter will perform one more internal instruction to that of the former. Processing halts immediately when the number of records processed through SET ROWCOUNT is reached. However, by using the TOP command, all the rows are returned internally, the TOP n rows are selected from that group internally, and these are then passed for display. Returning a limited number of records is useful when you want to look at a handful of data to see what values could be included, or perhaps you wish to return a few rows for sampling the data. You can set the number of rows to be affected by altering the number, n, at the end of the SET ROWCOUNT function. This setting will remain in force only within the query window in which the command is executed, or within the stored procedure in which the command is executed. To reset the session so that all rows are taken into consideration, you would set the ROWCOUNT number to 0.
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CHAPTER 19: Forensics
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Mail Extension). Once you have access to the accounts, you can select an appropriate one for your application to use or, better, present your user with the choice of which to use. The following code shows how to scan through the available accounts on a device.
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If a portal supports a proprietary mode that corresponds to one of the functions of your portlet, add support for this portlet mode in the render() method of your base portlet. To support portals that do not have this mode, you can add a navigation link to the appropriate screens of your portlet that will provide your users with the same functionality but in the VIEW portlet mode. You could remove this link inside portals that support a graphical user interface (GUI) mechanism for switching to this portlet mode. For more on portlet modes, see 4.
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The next important task you need to be able to do is add data (e.g., add rows) to a table. You do this with the INSERT statement. The INSERT statement is much simpler than a query, particularly because the WHERE and ORDER BY clauses have no meaning when inserting data and therefore aren t used. A basic INSERT statement has these parts: INSERT INTO <table> (<column1>, <column2>, ..., <columnN>) VALUES (<value1>, <value2>, ..., <valueN>) Using this syntax, let s add a new row to the Shippers table of the Northwind database. Before you insert it, let s look at the table. In the SSMSE Object Explorer, select the Northwind database, right-click the Shippers table, and click Open Table. The table has three rows, which are displayed in a tabbed window (see Figure 5-12).
Figure 17 5. Defining your targets
</s:operation> <!-- itemLookup method --> <s:operation name="ItemLookup" resultFormat="object" fault="faultHandler(event)" result="itemResultHandler(event)"> <s:request> <AWSAccessKeyId>{DEVELOPER_KEY}</AWSAccessKeyId> <Shared> <ItemId>{asin}</ItemId> <ResponseGroup>ItemAttributes,Images</ResponseGroup> </Shared> </s:request> </s:operation> </s:WebService> </fx:Declarations> </s:Application>
Finally, in a Finally block, you closed the data reader and the connection by calling their Close methods. As a general rule, you should close things in a Finally block to be sure they get closed no matter what happens within the Try block.
Operations were then defined to combine and analyze values of type Prop. It wouldn t make sense to define all of these operations as intrinsic to the Prop type, an approach often taken in OO design. In that same chapter, you saw another representation of propositional logic formulae where two logically identical formulae were normalized to the same representations. This is an example of step 3 of the functional design methodology: the process of designing a type involves specifying the equations that should hold for values of that type. You ve seen many examples in this book of how OO programming and functional programming can work very well together. For example, F# objects are often immutable but use OO features to group together some functionality working on the same data. Also, F# object interface types are often used as a convenient notation for collections of functions. However, some tensions exist between functional programming and OO design methodology. For example, when you define operations independently of data (that is, the functional style), it s simple to add a new operation, but modifying the type is more difficult. In OO programming using abstract and virtual methods, it s easy to add a new inherited type, but adding new operations (that is, new virtual methods) is difficult. Similarly, functional programming emphasizes simple but compositional types: for example, functions and tuples. OO programming tends to involve creating many (often large and complex) types with considerable amounts of additional metadata. These are often less compositional but sometimes more self-documenting. Finally, although functional programming doesn t provide a complete software design methodology, it s beautiful and powerful when it works, creating constructs that can be wielded with amazing expressivity and a very low bug rate. However, not all constructs in software design are amenable to compositional descriptions and implementations, and an over-reliance on pure programming can leave you bewildered and abandoned when the paradigm doesn t offer useful solutions that scale in practice. This is the primary reason why F# is a multiparadigm language: to ensure that functional techniques can be combined with other techniques where appropriate.
Use This Syntax in Calling Code
Figure 10 7. Prototyping kit with iPhone interface cable
Figure 12-8. Retrieving a stored procedure with Object Explorer
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