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Getting response for Prado... Reading response for Prado... Read 188 characters for Prado... Read 41635 characters for MOMA... Getting response for British Museum... Reading response for British Museum... Read 24341 characters for British Museum... The heart of the code in Listing 13-5 is the construct introduced by async { ... }. This is an application of the workflow syntax introduced in 9. Now let s take a closer look at Listing 13-5. The key operations are the two let! operations within the workflow expression: async { do ... let! resp = req.GetResponseAsync() do ... ... let! html = reader.ReadToEndAsync() do ... } Within asynchronous workflow expressions, the language construct let! var = expr in body simply means perform the asynchronous operation expr and bind the result to var when the operation completes. Then continue by executing the rest of the computation body. With this in mind, you can now see what fetchAsync does: It synchronously requests a web page. It asynchronously awaits a response to the request. It gets the response Stream and StreamReader synchronously after the asynchronous request completes. It reads to the end of the stream asynchronously. After the read completes, it prints the total number of characters read synchronously. Finally, the method Async.Spawn is used to initiate the execution of a number of asynchronous computations. This works by queuing the computations in the .NET thread pool. The .NET thread pool is explained in more detail in the following section.

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Listing 8-4. Uninstalling the Functions mysql> DROP FUNCTION metaphon;

True = Not(False) Or(p,q) = Not(And(Not(p),Not(q))) Iff(p,q) = Or(And(p,q),And(Not(p),Not(q))) Implies(p,q) = Or(Not(p),q) Forall(v,p) = Not(Exists(v,Not(p)))

Asynchronous computations are different from normal, synchronous computations: an asynchronous computation tends to hop between different underlying .NET threads. To see this, let s augment the asynchronous computation with diagnostics that show the ID of the underlying .NET thread at each point of active execution. You can do this by replacing uses of printfn in the function fetchAsync with uses of the following function: let tprintfn fmt = printf "[.NET Thread %d]" System.Threading.Thread.CurrentThread.ManagedThreadId; printfn fmt After doing this, the output changes to the following:

Query OK, 0 rows affected (0.00 sec)

let (&&&) p q = And(p,q) let (|||) p q = Or(p,q) let (~~~) p = Not (p)

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12]Creating request for MOMA... 13]Creating request for British Museum... 12]Creating request for Prado... 8]Getting response for MOMA... 8]Reading response for MOMA... 9]Getting response for Prado... 9]Reading response for Prado... 9]Read 188 characters for Prado... 8]Read 41635 characters for MOMA... 8]Getting response for British Museum... 8]Reading response for British Museum... 8]Read 24341 characters for British Museum...

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mysql> DROP FUNCTION myfunc_double;

Note how each individual Async program hops between threads; the MOMA request started on .NET thread 12 and finished life on .NET thread 8. Each asynchronous computation in Listing 13-5 executes in the following way: Each asynchronous computation starts life as a work item in the .NET thread pool. (The .NET thread pool is explained in the What Is the .NET Thread Pool sidebar.) These are processed by a number of .NET threads. When the asynchronous computations reach the GetResponseAsync and ReadToEndAsync calls, the requests are made and the continuations are registered as I/O completion actions in the .NET thread pool. No thread is used while the request is in progress. When the requests complete, they trigger a callback in the .NET thread pool. These may be serviced by different threads than those that originated the calls.

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= = = =

Query OK, 0 rows affected (0.00 sec)

Iff(p,q) (p <=> q) Implies(p,q) Not (p <=> q)

.NET objects such as BackgroundWorker use a single .NET background thread, which corresponds to a single Windows or other OS thread. OS threads have supporting resources such as an execution stack that consume memory and are relatively expensive resources to create and run. However, many concurrent processing tasks require only the ability to schedule short-lived tasks that then suspend, waiting for further input. To simplify the process of creating and managing these tasks, the .NET Framework provides the System.Threading.ThreadPool class. The thread pool consists of two main sets of suspended tasks: a queue containing user work items and a pool of I/O completion callbacks, each waiting for a signal from the operating system. The number of threads in the thread pool is automatically tuned, and items can be either queued asynchronously or registered against a .NET WaitHandle synchronization object (for example, a lock, a semaphore, or an I/O request). This is how to queue a work item in the .NET thread pool: open System.Threading ThreadPool.QueueUserWorkItem(fun _ -> printf "Hello!") |> ignore

mysql> DROP FUNCTION myfunc_int;

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