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Usually slicing a QuerySet returns another (unevaluated) QuerySet, but Django will execute the database query if you use the step parameter of slice syntax Converting to a list: You can force evaluation of a QuerySet by calling list() on it, for example: >>> entry_list = list(Entryobjectsall()) Be warned, though, that this could have a large memory overhead, because Django will load each element of the list into memory In contrast, iterating over a QuerySet will take advantage of your database to load data and instantiate objects only as you need them..



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" * " _ "from " _ " products " _ "where " _ " unitprice < 10 "

Each time you refine a QuerySet, you get a brand-new QuerySet that is in no way bound to the previous QuerySet. Each refinement creates a separate and distinct QuerySet that can be stored, used, and reused: q1 = Entry.objects.filter(headline__startswith="What") q2 = q1.exclude(pub_date__gte=datetime.now()) q3 = q1.filter(pub_date__gte=datetime.now()) These three QuerySets are separate. The first is a base QuerySet containing all entries that contain a headline starting with What . The second is a subset of the first, with an additional criterion that excludes records whose pub_date is greater than now. The third is a subset of the first, with an additional criterion that selects only the records whose pub_date is greater than now. The initial QuerySet (q1) is unaffected by the refinement process.





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'Combine queries Dim sql As String = sql1 & sql2 ' Create connection Dim conn As SqlConnection = New SqlConnection(connString) Try ' Create data adapter Dim da As SqlDataAdapter = New SqlDataAdapter(sql, conn) ' Create and fill dataset Dim ds As DataSet = New DataSet() da.Fill(ds, "customers") ' Get the data tables collection Dim dtc As DataTableCollection = ds.Tables ' Display data from first table ' ' Display header Console.WriteLine("Results from Customers table:") Console.WriteLine( _ "CompanyName".PadRight(20) & "ContactName".PadLeft(19)) ' ' Set display filter Dim fl As String = "country = 'Germany'" ' ' Set sort Dim srt As String = "companyname asc" ' ' 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

example, has four different levels. Python doesn t really have an equivalent privacy support, although single and double initial underscores do to some extent give you two levels of privacy.

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' Display data from second table ' ' Display header Console.WriteLine("-----------------------------------------") Console.WriteLine("Results from Products table:") Console.WriteLine( _ "ProductName".PadRight(20) & "UnitPrice".PadLeft(27)) ' ' Display data For Each row As DataRow In dtc(1).Rows Console.WriteLine( _ "{0} {1}", _ row("productname").ToString().PadRight(35), _ row("unitprice")) Next Catch e As Exception ' Display error Console.WriteLine("Error: " & e.ToString) Finally ' Close connection conn.Close() End Try End Sub End Module

Use Python s array-slicing syntax to limit your QuerySet to a certain number of results. This is the equivalent of SQL s LIMIT and OFFSET clauses. For example, this returns the first five entries (LIMIT 5): >>> Entry.objects.all()[:5] This returns the sixth through tenth entries (OFFSET 5 LIMIT 5): >>> Entry.objects.all()[5:10] Generally, slicing a QuerySet returns a new QuerySet it doesn t evaluate the query. An exception is if you use the step parameter of Python slice syntax. For example, this would actually execute the query in order to return a list of every second object of the first ten: >>> Entry.objects.all()[:10:2] To retrieve a single object rather than a list (e.g., SELECT foo FROM bar LIMIT 1), use a simple index instead of a slice. For example, this returns the first Entry in the database, after ordering entries alphabetically by headline: >>> Entry.objects.order_by('headline')[0] The preceding is roughly equivalent to the following: >>> Entry.objects.order_by('headline')[0:1].get() Note, however, that the first of these will raise IndexError while the second will raise DoesNotExist if no objects match the given criteria.

3. Make this the startup project, and run it with Ctrl+F5. You should see the result in Figure 8-4.

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