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Many multithreaded applications use mutable data structures shared between multiple threads. Without synchronization, these data structures will almost certainly become corrupt, because threads may read data that has been only partially updated (because not all mutations are atomic), or two threads may write to the same data simultaneously (a race condition). Mutable data structures are usually protected by locks, though lock-free mutable data structures are also possible. Shared-memory concurrency is a difficult and complicated topic, and a considerable amount of good material on .NET shared-memory concurrency is available on the Web. All this material applies to F# when programming with mutable data structures such as reference cells, arrays, and hash tables when the data structures can be accessed from multiple threads simultaneously. F# mutable data structures map to .NET memory in fairly predictable ways; for example, mutable references become mutable fields in a .NET class, and mutable fields of word size can be assigned atomically. On modern microprocessors multiple threads can see views of memory that are not consistent; that is, not all writes are propagated to all threads immediately. The guarantees given are called a memory model and are usually expressed in terms of the ordering dependencies between instructions that read/write memory locations. This is, of course, deeply troubling, because you have to think about a huge number of possible reorderings of your code, and it is one of

So, a business object that represents an invoice will include not only the data pertaining to the invoice, but also the logic to calculate taxes and amounts due. The object should understand how to post itself to a ledger, and how to perform any other accounting tasks that are required. Rather than passing raw invoice data around, and having the business logic scattered throughout the application, it is possible to pass an Invoice object around. The entire application can share not only the data, but also its associated logic. Smart data through objects can dramatically increase the ability to reuse code, and can decrease software maintenance costs.

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CslaDataSourceView doesn t actually do much work. Rather, it calls methods on CslaDataSource to have it raise the four data access methods. The event handlers in the page then do the real work. For instance, here s the ExecuteInsert() method: protected override int ExecuteInsert( IDictionary values) { // tell the page to insert the object InsertObjectArgs args = new InsertObjectArgs(values); _owner.OnInsertObject(args); return args.RowsAffected; } An instance of InsertObjectArgs is created and initialized with the values list. This is a list of name/value pairs for all the data elements from the web page (provided by ASP.NET), which presumably correspond to properties on the business object. Then the OnInsertObject() method on CslaDataSource is called. That method simply raises the InsertObject method so the web form can handle the event to create a new business object and insert it into the database.

the main reasons why shared mutable data structures are difficult to work with. You can find further details on the .NET memory model at http://www.expert-fsharp.net/topics/MemoryModel.

Content on the Web can be wrapped up in three successive layers that web browsers can read: Structure Presentation Behavior

The ExecuteUpdate() and ExecuteDelete() methods are quite similar, but ExecuteSelect() is a bit more complex: protected override System.Collections.IEnumerable ExecuteSelect(DataSourceSelectArguments arguments) { // get the object from the page SelectObjectArgs args = new SelectObjectArgs(); _owner.OnSelectObject(args); object obj = args.BusinessObject; object result; if (arguments.RetrieveTotalRowCount) { 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; } else result = obj; // if the result isn't IEnumerable then // wrap it in a collection if (!(result is IEnumerable)) { ArrayList list = new ArrayList(); list.Add(result); result = list; } // now return the object as a result return (IEnumerable)result; } The first bit of complexity comes because ExecuteSelect() can be called either to retrieve a data source or to retrieve the number of rows in the data source. If it is asked to retrieve the row count, the method still must call OnSelectObject() on CslaDataSource so the UI event handler can return the business object: // get the object from the page SelectObjectArgs args = new SelectObjectArgs(); _owner.OnSelectObject(args); object obj = args.BusinessObject;

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