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Locks are the simplest way to enforce mutual exclusion between two threads attempting to read or write the same mutable memory location Listing 13-14 shows an example of code with a race condition Listing 13-14 Shared-Memory Code with a Race Condition type MutablePair<'a,'b>(x:'a,y:'b) = let mutable currentX = x let mutable currentY = y member pValue = (currentX,currentY) member pUpdate(x,y) = // Race condition: This pair of updates is not atomic currentX <- x; currentY <- y let p = new MutablePair<_,_>(1,2) do AsyncSpawn (async { do (while true do pUpdate(10,10)) }) do AsyncSpawn (async { do (while true do pUpdate(20,20)) }) Here is the definition of the F# lock function: open SystemThreading let lock (lockobj :> obj) f = MonitorEnter(lockobj); try f() finally Monitor.

These lines of code are run in every case If the business object is to be retrieved, then it is returned as a result, but if the row count was requested, then the following code is used to get the number of items in the business object and return that number as a result, rather than the business object itself: if (argumentsRetrieveTotalRowCount) { if (obj == null) result = 0; else if (obj is IList) result = ((IList)obj)Count; else if (obj is IEnumerable) { IEnumerable temp = (IEnumerable)obj; int count = 0; foreach (object item in temp) count++; result = count; } else result = 1; } If the business object reference is null, there are zero rows of data.

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Exit(lockobj) The pair of mutations in the Update method is not atomic; that is, one thread may have written to currentX, another then writes to both currentX and currentY, and the final thread then writes to currentY, leaving the pair holding the value (10,20) or (20,10) Mutable data structures are inherently prone to this kind of problem if shared between multiple threads Luckily, of course, F# code tends to have fewer mutations than imperative languages, because functions normally take immutable values and return a calculated value However, when you do use mutable data structures, they should not be shared between threads, or you should design them carefully and document their properties with respect to multithreaded access Here is one way to use the F# lock function to ensure that updates to the data structure are atomic Locks would also be required on uses of the property pValue do Async.

If the object implements the IList interface, the count is simply retrieved from the object; while if it only implements IEnumerable, the code loops through all items in the list and counts them Otherwise, the business object is not a collection at all, so obviously the result is 1 Regardless of whether the method is returning the business object or the row count, Web Forms data binding requires that the data source be IEnumerable the most basic interface for a collection or list in NET The challenge is that many business objects are simple objects, like Customer or Invoice; and of course, the row count is a simple int value These values don t implement IEnumerable, and so can t be directly returned as a result.

First and foremost, the structural layer is created with a markup language, such as HTML or XHTML. The tags, or words contained in angle brackets, describe the semantic meaning of content. For example, the <p> tag conveys the information, This content is a paragraph. But the tag doesn t include any information about how the content should be displayed: <p>An example of a paragraph</p>

Spawn (async { do (while true do lock p (fun () -> pUpdate(10,10))) }) do AsyncSpawn (async { do (while true do lock p (fun () -> pUpdate(20,20))) }).

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