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The LTM is a very fast, very inexpensive resource manager for transactions occurring in a single application domain. It s the starting point of all transactions in the Framework, and it monitors the resources being touched by a transaction and enlists the services of more robust resource managers on an as-needed basis. When the transactional work goes out-of-process (i.e., you start modifying database data), the LTM will automatically use a resource manager that supports the Promotable Single Phase Enlistment (PSPE) model of transaction management. This is a new transactional infrastructure that knows and understands the pay as you go mechanism of the LTM. If there is no PSPE manager available, the LTM enlists the DTC. And then, of course, the DTC is enlisted any time multiple remote data sources are modified. When the PSPE model can do the job, then your transactions will perform as well as an ADO.NET Transaction would in version 1.x. Why use the PSPE model if you get the same performance as you would with ADO.NET transactions It s used so that the transaction is automatically promoted to the DTC when more than one database is touched. In version 2.0 of the .NET Framework, you will automatically get a PSPE transaction when working with SQL Server 2005. If the transactional work touches another server or another database, it automatically uses the DTC. Volatile transactions automatically participate in the PSPE without invoking the DTC.

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Some of the most general operators supported by most F# data structures are the fold, fold_left, and fold_right operators. These apply a function to each element of a collection and accumulate a result. For fold_left and fold_right, the function is applied in left-to-right or right-toleft order, respectively. If the name fold is used, then typically the ordering is left to right. Both functions also take an initial value for the accumulator. For example: > List.fold_left (fun acc x -> acc + x) 0 [4; 5; 6];; val it : int = 15 > Seq.fold (fun acc x -> acc + x) 0.0 [4.0; 5.0; 6.0];; val it : float = 15.0 > List.fold_right (fun x acc -> min x acc) [4; 5; 6; 3; 5] System.Int32.MaxValue;; val it : int = 3 The following are equivalent, but no explicit anonymous function values have been used: > List.fold_left (+) 0 [4; 5; 6];; val it : int = 15 > Seq.fold (+) 0.0 [4.0; 5.0; 6.0];; val it : float = 15.0 > List.fold_right min [4; 5; 6; 3; 5] System.Int32.MaxValue;; val it : int = 3 If used carefully, the various fold_right operators are pleasantly compositional, because they let you apply a selection function as part of the accumulating function: > List.fold_right (fst >> min) [(3, "three"); (5, "five")] System.Int32.MaxValue;; val it : int = 3 At the time of writing, the F# library also includes more direct accumulation functions such as Seq.sumByFloat and Seq.sumByInt. These use a fixed accumulation function (addition) with a fixed initial value (zero).

public static void main(String args[]) throws Exception { Util.checkProgramUsage( args ); Connection conn = null; try { conn = JDBCUtil.getConnection("benchmark", "benchmark", args[0]); The method _demoSelectAsARRAYAndCustomClassObject() invoked selects the nested table itself as an ARRAY object and its members as Address object. _demoSelectAsARRAYAndCustomClassObject( conn ); The method _demoSelectAsCustomCollectionClass() invoked selects the nested table itself as an AddressList object and its members as Address object. _demoSelectAsCustomCollectionClass( conn ); The method _doInsertAnEmployeeInCollection() inserts a member in the collection class. It involves first creating a modified collection object with a new member and then updating the table with the modified collection, as you will see shortly. _doInsertAnEmployeeInCollection( conn ); conn.commit(); } finally { // release JDBC resources JDBCUtil.close( conn ); } }

Caution Folding operators are very powerful and can help you avoid many explicit uses of recursion or

The new functionality of transactions is made available in the System.Transactions namespace of the Framework class library. There a few ways to create transactions and enlist resources to do work within them, but the best and most common way is to use the TransactionScope object.

To select a collection as an ARRAY object and its members as custom class objects, we need to perform the following steps: 1. Populate the type map associated with the Connection object to map the object type of the collection member to the appropriate Java class. A type map is a mapping between a database entity and a Java class object to which it should be mapped by the JDBC driver. 2. Prepare and execute the statement that selects the collection object. 3. Use the method getArray() on the ResultSet object to obtain the collection as an ARRAY object. 4. Use the method getArray() on the ARRAY object to obtain the Object array, each element of which is of the class you specified in the type map in the first step.