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However, any of these storage engines will perform well in read-only environments such as web servers or kiosk applications Concurrency operations like those we ve discussed are implemented in database systems using specialized commands that form a transaction subsystem Currently, only three of the storage engines listed support transactions: BDB, InnoDB, and NDB Transactions provide a mechanism that permits a set of operations to execute as a single atomic operation For example, if a database was built for a banking institution the macro operations of transferring money from one account to another would preferably be executed completely (money removed from one account and placed in another) 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.

It is common to use data to drive control, and indeed in functional programming the distinction between data and control is often blurred: function values can be used as data, and data can influence control flow. One example is using a function such as List.iter to iterate over a list. Let s take a simple example: let sites = [ "http://www.live.com"; "http://www.google.com"; "http://search.yahoo.com" ] sites |> List.iter (fun site -> printfn "%s, length = %d" site (http site).Length) List.iter simply calls the given function (here an anonymous function) for each element in the input list. Here is its type:

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Using Visual Studio automation, you can use F# Interactive to access objects exposing functionalities of the programming environment The DTE and the DTE2 interfaces are the entry points to the entire Visual Studio object model For instance, you can print the full path of the active document window: #r @"EnvDTEdll" #r @"EnvDTE80dll" open SystemRuntimeInteropServices let appObj =MarshalGetActiveObject("VisualStudioDTE") : > EnvDTE80DTE2 printfn "%s" (appObjActiveDocumentFullName) You use the GetActiveObject method to obtain a reference to the Visual Studio object model, and then you use the NET assembly containing the interface generated from the COM types to access the object model In this example, you connect to a running instance of Visual Studio (usually the first one started), not necessarily the same one associated with the F# Interactive executing the code.

A sample set of operations in the form of SQL statements encased in transactional commands is shown here: 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 Fortunately, MySQL provides facilities to specify a table type for each table in a database In fact, tables within a database do not.

Many additional aggregate iteration techniques are defined in the F# and .NET libraries, particularly by using values of type seq<type>, discussed in Getting Started with Sequences later in this chapter.

To attach to a specific instance of Visual Studio, you need to access the COM Running Object Table and associate with the desired instance Using Visual Studio automation, you can automate several tasks during testing and debugging, including building temporary configurations within Visual Studio for testing purposes Manipulation of Visual Studio elements isn t restricted to F# projects, but it can affect any area also affected by the macro system..

have to be the same type. This variety of storage engines permits the tuning of databases for a wide range of applications. Interestingly, it is possible to extend this list of storage engines by writing your own table handler. MySQL provides examples and code stubs to make this feature accessible to the system developer. The ability to extend this list of storage engines makes it possible to add support to MySQL for complex, proprietary data formats and access layers.

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