.NET/ASP.NET/C#/VB.NET PDF Document SDK

The file input.txt referred to in the property jpub.input contains the following lines: SQL ADDRESS AS Address SQL NESTED_TABLE_OF_ADDRESSES AS AddressList As you can see, we plan to generate a class Address for our object type address and a class AddressList for our varray emp_table.

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{ foreach(string key in ht.Keys) { sql = "INSERT INTO Tuples (keyValue, dataValue) " + "VALUES ('{0}', '{1}') "; sql = string.Format(sql, key, ht[key]); SqlCommand insert = new SqlCommand(sql, cnn, tx); insert.ExecuteNonQuery(); } tx.Commit(); } catch (Exception e) { tx.Rollback(); HttpContext.Current.Response.Write(e.Message); } finally { cnn.Close(); } } } Here you re explicitly tied to a single connection. You can pass this connection around to dynamically compose the commands that make up the connection, but are still tied to a single data source. To span data sources, you must enlist the services of the DTC via COM+. (See Mover.cs in the App_Code directory of the Web12 project.) [Transaction(TransactionOption.Required)] public class Mover : ServicedComponent { [AutoComplete] public void Move() { using(SqlConnection cnnDB1 = new SqlConnection(Database1), cnnDB2 = new SqlConnection(Database2)) { SqlCommand cmdDeleteDB1 = new SqlCommand("DELETE ...", cnnDB1); SqlCommand cmdInsertDB2 = new SqlCommand("INSERT ...", cnnDB2); // ADO.NET connections automatically enlist into // the DTC transaction cnnDB1.Open(); cnnDB2.Open(); cmdDeleteDB1.ExecuteNonQuery();

Finding those people who work in sales and are older than 30 years old is also straightforward: > let namesSalesOver30 = people |> where (fun (_, age, _) -> age >= 30) |> where (fun (_, _, dept) -> dept = "Sales") |> select (fun (name, _, _) -> name);; val namesSalesOver30 : seq<string> > namesSalesOver30;; val it : seq<string> = seq ["Mark"].

Note When you use JPublisher to create a custom collection class, you must use the ORAData implementation. This is the case if JPublisher s -usertypes mapping option is set to oracle, as is the case in this section s example (as shown by the line jpib.usertypes=oracle). You can t use a SQLData implementation for a custom collection class (such an implementation is available for a custom object class only).

In the previous section, we used alternative names such as select and where for some standard F# operations such as Seqmap and Seqfilter This is for illustrative purposes to show the connection between these operators and SQL-like querying In most F# code, you should just continue to use the standard F# operators from the Seq module Besides the restriction (filter/where) and projection (map/select) operators, the Seq module contains many other useful functions, many of which were described in 3, and you can easily define further operators For instance, you can define sorting over sequences by using sorting over a more concrete data structure: let sortBy comp seq = seq |> Seqto_list |> Listsort comp |> Seq.

Once you have set up the prop.txt and input.txt files with the preceding contents in your directory, you can generate the classes by running the JPublisher command as follows: jpub -props=prop.txt

cmdInsertDB2.ExecuteNonQuery(); } } } Here you re not only spanning databases, but also if you want to dynamically compose the steps of the transaction, any method you called on the class would also automatically be enrolled. You could even call out to methods on other types flagged with TransactionOption as Required and their work would automatically be enlisted in the transaction. You can clearly see the power available in this model when there are requirements to compose transactions dynamically. (See 7 for more details on COM+ transaction composition.) The trade-off for this amount of flexibility is costly, though. Your type must inherit from the ServicedComponent base class. And regardless of how your transactions are composed, you ll always incur the overhead of invoking the DTC, even if you re updating a single row in a single table. This is a high price to pay, especially if most of your transactions are against a single data source and a distributed transaction is rare, as is normally the case. This is a real bummer, because it puts you in the situation where if you ever need to dynamically compose transactions, then you always have to use the DTC.