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Here s some pseudocode explaining how this would work for a dynamically generated Web page: given a URL, try finding that page in the cache if the page is in the cache: return the cached page else: generate the page save the generated page in the cache (for next time) return the generated page Django comes with a robust cache system that lets you save dynamic pages so they don t have to be calculated for each request For convenience, Django offers different levels of cache granularity You can cache the response of specific views, you can cache only the pieces that are difficult to produce, or you can cache your entire site Django also works well with upstream caches, such as Squid (http://wwwsquid-cacheorg/) and browser-based caches.



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The connection string is actually parsed before it s assigned to the connection s ConnectionString property, so the newlines and extra spaces are inconsequential. SQL can contain extraneous newlines and spaces, so you can format it flexibly to make it more readable and maintainable.

These are the types of caches that you don t directly control but to which you can provide hints (via HTTP headers) about which parts of your site should be cached, and how Read on to discover how to use Django s caching system When your site gets Slashdotted you ll be happy you understand this material..

You next declared variables for the connection and data reader, so they re available to the rest of your code:

That s really all there is to know about if statements. Now let s return to the conditions themselves, because they are the really interesting part of conditional execution.





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' Declare connection and data reader variables Dim conn As SqlConnection = Nothing Dim rdr As SqlDataReader = Nothing

The cache system requires a small amount of setup. Namely, you have to tell it where your cached data should live, whether in a database, on the filesystem, or directly in memory. This is an important decision that affects your cache s performance (yes, some cache types are faster than others). In-memory caching will generally be much faster than filesystem or database caching, because it lacks the overhead of hitting the filesystem or database. Your cache preference goes in the CACHE_BACKEND setting in your settings file. If you use caching and do not specify CACHE_BACKEND, Django will use simple:/// by default. The following sections explain all available values for CACHE_BACKEND.

You then created the connection and opened it:

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By far the fastest, most efficient type of cache available to Django, Memcached is an entirely memory-based cache framework originally developed to handle high loads at LiveJournal (http://wwwlivejournalcom/) and subsequently open-sourced by Danga Interactive (http:// dangacom/) It s used by sites such as Slashdot and Wikipedia to reduce database access and dramatically increase site performance Memcached is available for free at http://dangacom/memcached/ It runs as a daemon and is allotted a specified amount of RAM Its primary feature is to provide an interface a superlightning-fast interface for adding, retrieving, and deleting arbitrary data in the cache All data is stored directly in memory, so there s no overhead of database or filesystem usage After installing Memcached itself, you ll need to install the Memcached Python bindings, which are not bundled with Django directly These bindings are in a single Python module, memcache.

Perhaps the most basic operators used in conditions are the comparison operators. They are used (surprise, surprise) to compare things. The comparison operators are summed up in Table 5-1.

Try ' Open connection conn = New SqlConnection(connString) conn.Open()

py, which is available at http://wwwtummycom/Community/software/python-memcached/ To use Memcached with Django, set CACHE_BACKEND to memcached://ip:port/, where ip is the IP address of the Memcached daemon and port is the port on which Memcached is running In this example, Memcached is running on localhost (127001) port 11211: CACHE_BACKEND = 'memcached://127001:11211/' One excellent feature of Memcached is its ability to share cache over multiple servers This means you can run Memcached daemons on multiple machines, and the program will treat the group of machines as a single cache, without the need to duplicate cache values on each machine To take advantage of this feature with Django, include all server addresses in CACHE_BACKEND, separated by semicolons In this example, the cache is shared over Memcached instances running on the IP addresses 1721926240 and 1721926.

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