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A more granular way to use the caching framework is by caching the output of individual views. This has the same effects as the per-site cache (including the omission of caching on requests with GET and POST parameters). It applies to whichever views you specify, rather than the whole site. Do this by using a decorator, which is a wrapper around your view function that alters its behavior to use caching. The per-view cache decorator is called cache_page and is located in the django.views.decorators.cache module, for example: from django.views.decorators.cache import cache_page def my_view(request, param): # ... my_view = cache_page(my_view, 60 * 15) Alternatively, if you re using Python 2.4 or greater, you can use decorator syntax. This example is equivalent to the preceding one: from django.views.decorators.cache import cache_page @cache_page(60 * 15) def my_view(request, param): # ... cache_page takes a single argument: the cache timeout, in seconds. In the preceding example, the result of the my_view() view will be cached for 15 minutes. (Note that we ve written it as 60 * 15 for the purpose of readability. 60 * 15 will be evaluated to 900 that is, 15 minutes multiplied by 60 seconds per minute.) The per-view cache, like the per-site cache, is keyed off of the URL. If multiple URLs point at the same view, each URL will be cached separately. Continuing the my_view example, if your URLconf looks like this: urlpatterns = ('', (r'^foo/(\d{1,2})/$', my_view), ) then requests to /foo/1/ and /foo/23/ will be cached separately, as you may expect. But once a particular URL (e.g., /foo/23/) has been requested, subsequent requests to that URL will use the cache.



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Let s access Northwind with OLE DB. 1. In Solution Explorer, add a new Visual Basic console application project named OleDbProvider to the 04 solution. Replace the generated code in Module1.vb with the code in Listing 4-2, which shows the changes to Listing 4-1 in bold.

strings and raw strings (which can be combined).





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The examples in the previous section have hard-coded the fact that the view is cached, because cache_page alters the my_view function in place. This approach couples your view to the cache system, which is not ideal for several reasons. For instance, you might want to reuse the view functions on another, cacheless site, or you might want to distribute the views to people who might want to use them without being cached. The solution to these problems is to specify the per-view cache in the URLconf rather than next to the view functions themselves. Doing so is easy: simply wrap the view function with cache_page when you refer to it in the URLconf. Here s the old URLconf from earlier: urlpatterns = ('', (r'^foo/(\d{1,2})/$', my_view), ) Here s the same thing, with my_view wrapped in cache_page: from django.views.decorators.cache import cache_page urlpatterns = ('', (r'^foo/(\d{1,2})/$', cache_page(my_view, 60 * 15)), ) If you take this approach, don t forget to import cache_page within your URLconf.

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Imports System Imports System.Data Imports System.Data.OleDB Module Module1 Sub Main() ' Set up connection string Dim connString As String = _ "provider = sqloledb;" _ & "data source = .\sqlexpress;" _ & "integrated security = sspi;" _ & "initial catalog = northwind"

Sometimes, caching an entire rendered page doesn t gain you very much and is, in fact, inconvenient overkill. Perhaps, for instance, your site includes a view whose results depend on several expensive queries, the results of which change at different intervals. In this case, it would not be ideal to use the full-page caching that the per-site or per-view cache strategies offer, because you wouldn t want to cache the entire result (since some of the data changes often), but you d still want to cache the results that rarely change. For cases like this, Django exposes a simple, low-level cache API, which lives in the module django.core.cache. You can use the low-level cache API to store objects in the cache with any level of granularity you like. You can cache any Python object that can be pickled safely: strings, dictionaries, lists of model objects, and so forth. (Most common Python objects can be pickled; refer to the Python documentation for more information about pickling.) Here s how to import the API: >>> from django.core.cache import cache The basic interface is set(key, value, timeout_seconds) and get(key): >>> cache.set('my_key', 'hello, world!', 30) >>> cache.get('my_key') 'hello, world!'

' Set up query string Dim sql As String = _ "select " _ & " * " _ & "from " _ & " employees" ' Declare connection and data reader variables Dim conn As OleDbConnection = Nothing Dim rdr As OleDbDataReader = Nothing Try ' Open connection conn = New OleDbConnection(connString) conn.Open() ' Execute query Dim cmd As OleDbCommand = New OleDbCommand(sql, conn) rdr = cmd.ExecuteReader() ' Display output header Console.WriteLine( _ "This program demonstrates the use of " _ & "the OLE DB Data Provider." _ & ControlChars.NewLine _ ) Console.WriteLine("First Name Last Name") ' Process result set While rdr.Read Console.WriteLine( _ "{0} | {1}" _ , rdr("firstname").ToString().PadLeft(10) _ , rdr(1).ToString().PadLeft(10) _ ) End While Catch e As Exception Console.WriteLine("Error: " & e.ToString) Finally ' Close connection

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