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macro operations of transferring money from one account to another (money removed from one account and placed in another) would preferably be executed completely without interruption Transactions permit these operations to be encased in an atomic operation that will back out any changes should an error occur before all operations are complete, thus avoiding data being removed from one table and never making it to the next table A sample set of operations in the form of SQL statements encased in transactional commands is shown in Listing 7-57 Listing 7-57 Sample Transaction SQL Commands START TRANSACTION; UPDATE SavingsAccount SET Balance = Balance 100 WHERE AccountNum = 123; UPDATE CheckingAccount SET Balance = Balance + 100 WHERE AccountNum = 345; COMMIT; In practice, most database professionals specify the MyISAM table type if they require faster access and InnoDB if they need transaction support.

Still another option is the classic UNIX client-server approach, whereby the Business Logic and Data Access layers are merged, keeping the presentation, UI, and Data Storage tiers as dumb as possible (see Figure 1-12).

Fortunately, MySQL AB has provided the pluggable storage engine with the capability to support transactions The facilities for performing transactions in storage engines is supported by the start_stmt() and external_lock() methods The start_stmt() method is called when a transaction is started The external_lock() method is used to signal a specific lock for a table and is called when an explicit lock is issued Your storage engine must implement the new transaction in the start_stmt() method by creating a savepoint and registering the transaction with the server using the trans_register_ha() method This method takes as parameters the current thread, whether you want to set the transaction across all threads, and the address of your handlerton Calling this causes the transaction to start An example implementation of the start_stmt() method is shown in Listing 7-58 Listing 7-58.

Unfortunately, once again, this approach falls afoul of the non-interactive user experience problem: the data must round-trip to the Business Logic/Data Access tier for any validation or manipulation. This is especially problematic if the Business Logic/Data Access tier is running on a separate application server, because then you re faced with network latency and contention issues, too. Also, the central application server can become a performance bottleneck, because it s the only machine doing any work for all the users of the application.

Example start_stmt() Method Implementation int my_handler::start_stmt(THD *thd, thr_lock_type lock_type) { DBUG_ENTER("my_handler::index_last"); int error= 0; /* Save the transaction data */ my_txn *txn= (my_txn *) thd->ha_data[my_handler_htonslot]; /* If this is a new transaction, create it and save it to the handler's slot in the ha_data array */ if (txn == NULL) thd->ha_data[my_handler_htonslot]= txn= new my_txn;.

I wish this book included the secret that allows you to write all your logic in one central location, thereby avoiding all of these awkward issues. Unfortunately, that s not possible with today s technology: putting the business logic only on the client, application server, or database server is problematic, for all the reasons given earlier. But something needs to be done about it, so what s left What s left is the possibility of centralizing the business logic in a Business Logic layer that s deployed on the client (or web server), so that it s accessible to the UI layer; and in a Business Logic layer that s deployed on the application server, so that it s able to interact efficiently with the Data Access layer. The end result is the best of both worlds: a rich and interactive user experience and efficient high-performance back-end processing when interacting with the database (or other data source). In the simple cases in which there is no application server, the Business Logic layer is deployed only once: on the client workstation or web server, as shown in Figure 1-13. Ideally, this business logic will run on the same machine as the UI code when interacting with the user, but on the same machine as the data access code when interacting with the database. (As discussed earlier, all of this could be on one machine or a number of different machines, depending on your physical architecture.) It must provide a friendly interface that the UI developer can use to invoke any validation and manipulation logic, and it must also work efficiently with the Data Access tier to get data in and out of storage.

We also hope we ve helped you develop a useful mental model of how Managed Preferences work And as we ve discussed various features and strategies, we ve attempted to point out some potential pitfalls and problems you might encounter..