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Notice that neither the channel adapter nor message router explicitly deal with moving objects between the client and server. This is because the .NET runtime typically handles object movement automatically as long as the objects are marked as [Serializable()]. The exception to this is when using Web Services. In that case, as you ll see later in the chapter, manual serialization and deserialization of the objects is required. The Csla.CriteriaBase class listed in Table 4-3 is optionally used to define the message sent from a client to the server for Create, Fetch, and Delete data portal operations. It exists primarily to support business objects created using code-generation tools. During the implementation of SimpleDataPortal later in the chapter, you ll see how this base class is used.

The next thing you want to do is to get your symbolic manipulator to simplify expressions for you so you don t have to do so. One easy modification is to replace the use of the Sum and Prod constructors in deriv with local functions that perform local simplifications such as removing identity operations, performing arithmetic, bringing forward constants, and simplifying across two operations. Listing 12-2 shows how to do this. Listing 12-2. Symbolic Differentiation with Local Simplifications let simpSum = function | Num n, Num m -> Num (n+m) | Num 0, e | e, Num 0 -> e | e1, e2 -> Sum(e1,e2) let simpProd | Num n, | Num 0, | Num 1, | e1, e2 = function Num m -> Num (n*m) e | e, Num 0 -> Num 0 e | e, Num 1 -> e -> Prod(e1,e2)

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There are several different technologies that support database transactions, including transactions in the database itself, ADO.NET, Enterprise Services, and System.Transactions. When updating a single database (even multiple tables), any of them will work fine, and your decision will often be based on which is fastest or easiest to implement. If your application needs to update multiple databases, however, the options are a bit more restrictive. Transactions that protect updates across multiple databases are referred to as distributed transactions. In SQL Server, you can implement distributed transactions within stored procedures. Outside the database, you can use Enterprise Services or System.Transactions. Distributed transaction technologies use the Microsoft Distributed Transaction Coordinator (DTC) to manage the transaction across multiple databases. There is a substantial performance cost

| Num _ -> Num 0 | Sum (e1, e2) -> simpSum (simpDeriv e1, simpDeriv e2) | Prod (e1, e2) -> simpSum (simpProd (e1, simpDeriv e2), simpProd (e2, simpDeriv e1)) These measures produce significant improvement over the previous naive approach, but they do not place the result in a normal form, as the following shows: > simpDeriv e3;; val it : Expr = x*2+x*2 However, you cannot implement all simplifications using local rules; for example, collecting like terms across a polynomial involves looking at every term of the polynomial.

to enlisting the DTC in a transaction. Your application, the DTC, and the database engine(s) all need to interact throughout the transactional process to ensure that a consistent commit or rollback occurs, and this interaction takes time. Historically, you had to pick one transactional approach for your application. This often meant using distributed transactions even when they weren t required and paying that performance cost. The new System.Transactions namespace offers a compromise through the TransactionScope object. It starts out using nondistributed transactions (like those used in ADO.NET), and thus offers high performance for most applications. However, as soon as your code uses a second database within a transaction, TransactionScope automatically enlists the DTC to protect the transaction. This means you get the benefits of distributed transactions when you need them, but you don t pay the price for them when they aren t needed. The data portal allows the developer to specify which transactional technology to use for each of a business object s data access methods. To do this, the message router portion of the data portal uses some extra classes, as shown in Figure 4-4. Notice that this is basically the same diagram as Figure 4-3, but with extra types to support the transactional technologies.

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equivalent to (fun x -> match x with pattern-rules -> expression) and is especially convenient as a way to define functions working directly over discriminated unions.

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