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# Hits the database. >>> e = Entry.objects.get(id=5) # Hits the database again to get the related Blog object. >>> b = e.blog and here s select_related lookup: # Hits the database. >>> e = Entry.objects.select_related().get(id=5) # Doesn't hit the database, because e.blog has been prepopulated # in the previous query. >>> b = e.blog select_related() follows foreign keys as far as possible. If you have the following models: class City(models.Model): # ... class Person(models.Model): # ... hometown = models.ForeignKey(City) class Book(models.Model): # ... author = models.ForeignKey(Person) then a call to Book.objects.select_related().get(id=4) will cache the related Person and the related City: >>> b = Book.objects.select_related().get(id=4) >>> p = b.author # Doesn't hit the database. >>> c = p.hometown # Doesn't hit the database. >>> b = Book.objects.get(id=4) # No select_related() in this example. >>> p = b.author # Hits the database. >>> c = p.hometown # Hits the database. Note that select_related() does not follow foreign keys that have null=True. Usually, using select_related() can vastly improve performance because your application can avoid many database calls. However, in situations with deeply nested sets of relationships, select_related() can sometimes end up following too many relations and can generate queries so large that they end up being slow.



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s Note A data view is a dynamic representation of the contents of a data table. Like a SQL view, it doesn t

Try It Out: Refining Data with a Data View We won t cover all aspects of data views here, as they re beyond the scope of this book. However, to show how they can be used, we ll present a short example that uses a data view to dynamically sort and filter an underlying data table. 1. Add a new Console Application project named DataViews to your 08 solution. 2. Replace the code in Module1.vb with the code in Listing 8-3.

extra()





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Python has six built-in types of sequences, but let s concentrate on two of the most common ones lists and tuples. The main difference between these is that you can change a list, but you can t change a tuple. This means a list might be useful if you need to add elements as you go along, while a tuple can be useful if, for some reason, you can t allow the sequence to change. Reasons for the latter are usually rather technical, having to do with how things work internally in Python. That s why you may see built-in functions returning tuples. For your own programs, chances are you can use lists instead of tuples in almost all circumstances. (One notable exception, as described in 4, is using tuples as dictionary keys. There lists aren t allowed, because you aren t allowed to modify keys.)

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Imports System Imports System.Data Imports System.Data.SqlClient Module Module1 Sub Main() ' Set up connection string Dim connString As String = _ "server = .\sqlexpress;" _ & "integrated security = true;" _ & "database = northwind" ' Set up query Dim sql As String = _ "select " _ & " contactname, " _ & " country " _ & "from " _ & " customers " ' 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 table reference Dim dt As DataTable = ds.Tables("customers") ' Create data view Dim dv As DataView = New DataView( _ dt, _ "country = 'Germany'", _ "country", _ DataViewRowState.CurrentRows)

Sometimes, the Django query syntax by itself can t easily express a complex WHERE clause. For these edge cases, Django provides the extra() QuerySet modifier, a hook for injecting specific clauses into the SQL generated by a QuerySet.

' Display data from data view For Each drv As DataRowView In dv For i As Integer = 0 To dv.Table.Columns.Count - 1 Console.Write(drv(i).PadRight(20)) Next Console.WriteLine() Next Catch e As Exception ' Display error Console.WriteLine("Error: " & e.ToString) Finally ' Close connection conn.Close() End Try End Sub End Module

By definition, these extra lookups may not be portable to different database engines (because you re explicitly writing SQL code) and violate the DRY principle, so you should avoid them if possible Specify one or more of params, select, where, or tables None of the arguments is required, but you should use at least one of them The select argument lets you put extra fields in the SELECT clause It should be a dictionary mapping attribute names to SQL clauses to use to calculate that attribute: >>> Entryobjectsextra(select={'is_recent': "pub_date > '2006-01-01'"}) As a result, each Entry object will have an extra attribute, is_recent, a Boolean representing whether the entry s pub_date is greater than January 1, 2006.

Note The other built-in sequence types are strings (which I revisit in the next chapter), Unicode strings,

3. Make this the startup project, and run it with Ctrl+F5. You should see the result in Figure 8-5.

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