Simple .NET/ASP.NET PDF document editor web control SDK

The cache will have a maximum of ten pooled connections. What happens when you reach the limit and need another connection That depends on the cache scheme you set, as discussed next.

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> shiftRight (10,10);; val it : int * int = (11,10) > List.map (shift (2,2)) [ (0,0); (1,0); (1,1); (0,1) ];; val it : int * int list = [ (2,2); (3,2); (3,3); (2,3) ] In the second example, the function shift takes two pairs as arguments. We bind the first parameter to (2, 2). The result of this partial application is a function that takes one remaining tuple parameter and returns the value shifted by two units in each direction. This resulting function can now be used in conjunction with List.map.

The OracleConnectionCacheImpl class supports three connection cache schemes that come into effect when all three of the following conditions are true: The application has requested a connection. All existing pooled connections are in use. The maximum limit of pooled connections in the cache has been reached. The three cache schemes are Dynamic: This is the default scheme. In this scheme, the cache would automatically create new pooled connections, though each of these new connections is automatically closed and freed as soon as the logical connection instance that it provided is closed. You can set this scheme using one of the two overloaded versions of the method setCacheScheme(): occi.setCacheScheme( "dynamic" ); occi.setCacheScheme( OracleConnectionCacheImpl.DYNAMIC_SCHEME );

It follows, then, that your choices are to leverage ViewState or to place code in a branch of logic that executes with every request of the page In the example of setting the back color of the textbox, it doesn t make much difference if you send an additional 36 bytes to the client or execute one additional line of code with each postback Where it does start to matter more is with operations that are more computationally intense or (perhaps more commonly) when an extra network hop is involved, such as when you go to the database to get a set of values to use in a data-binding operation.

Fixed return null: In this scheme, the requests after the maximum limit is exceeded get a null value returned. You can set this scheme using one of the two overloaded versions of the method setCacheScheme(): occi.setCacheScheme( "fixed_return_null_scheme" ); occi.setCacheScheme( OracleConnectionCacheImpl.FIXED_RETURN_NULL_SCHEME ); Fixed wait: In this case, when the maximum limit of pooled connections is reached, the next request would wait forever. You can set this scheme using one of the two overloaded versions of the method setCacheScheme(): occi.setCacheScheme( "fixed_wait_scheme" ); occi.setCacheScheme( OracleConnectionCacheImpl.FIXED_WAIT_SCHEME );

Partial application is one way in which functions can be computed, rather than simply defined. This technique becomes very powerful when combined with additional local definitions. Here s a simple and practical example, representing an idiom common in graphics programming: open System.Drawing;; let remap (r1: Rectangle) (r2: Rectangle) = let scalex = float r2.Width / float r1.Width let scaley = float r2.Height / float r1.Height let mapx x = r2.Left + truncate (float (x - r1.Left) * scalex) let mapy y = r2.Top + truncate (float (y - r1.Top) * scaley) let mapp (p: Point) = Point(mapx p.X, mapy p.Y) mapp The function remap computes a new function value mapp that maps points in one rectangle to points in another. F# Interactive will report the type as follows:

Once you peel back the layers of abstraction that exist between the developer and the actual implementation of ViewState functionality, how and when to use ViewState becomes a question of resource consumption and bandwidth that s familiar whenever state must be maintained in a web application When maintaining state in a web application, you basically have three choices: the client, the web server, or (to accommodate a Web Farm) a server-side location out-of-process to the web server We list the pros and cons for each location in Table 4-1 A lot of these choices are driven by the type of state information being maintained and the requirements of your specific application You must make different choices for state information shared across all users vs state information that s user specific Some choices are eliminated when a single point of failure isn t an option.