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n 4, you learned how to interact with a database using the ADO.NET classes, and in this chapter, we ll build on that. We ll first take a look at VS .NET s new component architecture. This opens the door to the automatic generation of data-access code, and you ll see how that works in the latter part of this chapter. We ll also take a tour of the new data-binding capabilities provided by ASP .NET, a feature that allows developers to write less code and let the platform do the heavy work of transferring data from ADO.NET objects to web forms. You ll then learn how to take advantage of another feature that can be used in combination with data binding: templates. Templates allow you to customize the look and feel of the controls in which your data is displayed from the IDE and with full drag-and-drop support. In this chapter, we will cover the following topics: An introduction to components, to get you up and running Simple data binding to show data on a form More complex data binding that involves sets of data and presents it in tabular fashion, automatically The interaction between .NET components and the IDE that lets VS .NET generate code on your behalf Typed datasets, which improve the experience of data binding at design-time, and offer some other improvements to your code Templates, which you can apply to customize the display of complex sets of data How to enable the editing of data through your web pages

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Caution When you supply the subreport parameter values, be aware that the reporting engine will affect the java.util.Map object it receives, adding the built-in report parameter values that correspond to the subreport. This map is also affected by the individually specified subreport parameter values, as already explained. To avoid altering the original java.util.Map object that you send, wrap it in a different map before supplying it to the subreport-filling process, as follows:

NUM_DISTINCT DENSITY NUM_BUCKETS ------------ ---------- ----------80 .013885925 58 select endpoint_number, endpoint_value from user_tab_histograms where column_name = 'SKEW' and table_name = 'T1' order by endpoint_number ;

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Having come this far in the book, you may be starting to wonder what happened to the Visual part of VS .NET and VB .NET. We ve been writing code as if we had nothing better than Notepad! Fortunately, VS .NET does come with some great productivity enhancements, including wizards and designers that can make most data-related work a breeze. Now that you know the basics of ADO.NET, you ll have a better understanding of what s going on behind the scenes when you use these VS .NET features.

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ENDPOINT_NUMBER ENDPOINT_VALUE --------------- -------------.. 59 71 60 72 62 73 64 74 65 75 67 76 69 77 71 78 73 79 75 80 59 rows selected Looking first at the information from user_tab_columns, we see that Oracle has correctly counted that we have 80 distinct values in the column n1 The density is not 1/80, it s more like 1/72 but could have been almost anything We also note that Oracle is claiming that we have a histogram with 58 buckets, despite the fact that we asked for 75 buckets, and can actually see in view user_tab_histograms that we got 75 buckets (the highest endpoint number is 75) recorded in 59 rows In fact 8i, 9i, and 10g vary in their results: 8i gives a density of 0006756757, creates 74 buckets, and reports 58 buckets 9i gives a density of 0.

The fundamental concept that supports these features of the VS .NET IDE is the component. Putting out of your mind for a moment the various other meanings that have been ascribed to this word over the years, a component in VS .NET is a class that (directly or indirectly) implements the System.ComponentModel.IComponent interface. Most of the time, such a class will inherit from System.ComponentModel.Component.

new HashMap(myOriginalMap)

013885925, creates 75 buckets, and reports 58 buckets 10g gives a density of 0013885925, creates 75 buckets, and reports 75 buckets The bucket count is largely a cosmetic thing, but the variation in density and actual bucket count occurs because 8i uses the analyze command internally to generate the histogram, whereas 9i and 10g run the SQL statement shown at the end of the Getting Started section of this chapter The reports you see in the 10053 trace about histograms (particularly height balanced histograms) vary across versions as well and the output from 10104 is slightly different from the output from 10102 The following three examples all came from running exactly the same script as you can see, the clarity of information keeps improving: Version 1010.

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