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As part of displaying the first data table, you declared two strings:

exclude(**kwargs)

' Set display filter Dim fl As String = "country = 'Germany'" ' ' Set sort Dim srt As String = "companyname asc"

Note In everyday speech, we denote classes of objects with plural nouns such as birds or larches.

order_by(*fields)



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The first string is a filter expression that specifies row selection criteria. It s syntactically the same as a SQL WHERE clause predicate. You want only rows where the Country column equals 'Germany'. The second string specifies your sort criteria and is syntactically the same as a SQL ORDER BY clause, giving a data column name and sort sequence. You used a For Each loop to display the rows selected from the data table, passing the filter and sort strings to the Select method of the data table. This particular data table is the one named customers in the data table collection.

' Display filtered and sorted data For Each row As DataRow In dtc("customers").Select(fl, srt) Console.WriteLine( _ "{0} {1}", _ row("companyname").ToString().PadRight(25), _ row("contactname")) Next





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By default, results returned by a QuerySet are ordered by the ordering tuple given by the ordering option in the model s metadata (see Appendix B). You can override this for a particular query using the order_by() method: >> Entry.objects.filter(pub_date__year=2005).order_by('-pub_date', 'headline') This result will be ordered by pub_date descending, and then by headline ascending. The negative sign in front of "-pub_date" indicates descending order. Ascending order is assumed if the - is absent. To order randomly, use " ", like so: >>> Entry.objects.order_by(' ')

You obtained a reference to a single data table from the data table collection (the dtc object) using the table name that you specified when creating the dataset. The overloaded Select method does an internal search on the data table, filters out rows not satisfying the selection criterion, sorts the result as prescribed, and finally returns an array of data rows. You accessed each column in the row, using the column name in the indexer. It s important to note that you could have achieved the same result much more efficiently had you simply used a different query for the Customer data:

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When stated like this, subclasses and superclasses are easy to understand. But in objectoriented programming, the subclass relation has important implications because a class is defined by what methods it supports. All the instances of a class have these methods, so all the instances of all subclasses must also have them. Defining subclasses is then only a matter of defining more methods (or, perhaps, overriding some of the existing ones). For example, Bird might supply the method fly while Penguin (a subclass of Bird) might add the method eatFish. When making a penguin class, you would probably also want to override a method of the superclass, namely the fly method. In a Penguin instance, this method should either do nothing, or possibly raise an exception (see 8), given that penguins can t fly.

distinct()

This would be ideal in terms of performance, but it d be feasible only if the data you needed was limited to these specific rows in this particular sequence. However, if you were building a more elaborate system, it might be better to pull all the data once from the database (as you do here) and then filter and sort it in different ways. ADO.NET s rich suite of methods for manipulating datasets and their components gives you a broad range of techniques for meeting specific needs in an optimal way.

Returns a new QuerySet that uses SELECT DISTINCT in its SQL query. This eliminates duplicate rows from the query results. By default, a QuerySet will not eliminate duplicate rows. In practice, this is rarely a problem, because simple queries such as Blog.objects.all() don t introduce the possibility of duplicate result rows. However, if your query spans multiple tables, it s possible to get duplicate results when a QuerySet is evaluated. That s when you d use distinct().

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