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In 3, you saw some of the simple but powerful data types and language constructs that make up F# functional programming. The functional programming paradigm is strongly associated with programming without side effects, called pure functional programming. In this paradigm, programs compute the result of a mathematical expression and don t cause any side effects, except perhaps reporting the result of the computation. The formulas used in spreadsheets are often pure, as is the core of functional programming languages such as Haskell. F# isn t, however, a pure functional language. For example, you can write programs that mutate data, perform I/O communications, start threads, and raise exceptions. Furthermore, the F# type system doesn t enforce a strict distinction between expressions that perform these actions and expressions that don t. Programming with side effects is called imperative programming. This chapter looks more closely at a number of constructs related to imperative programming. It describes how to use loops, mutable data, arrays, and some common input/output techniques. If your primary programming experience has been with an imperative language such as C, C#, or Java, you may initially find yourself using imperative constructs fairly frequently in F#. However, over time, F# programmers generally learn how to perform many routine programming tasks within the sideeffect-free subset of the language. F# programmers tend to use side effects in the following situations: When scripting and prototyping using F# Interactive When working with .NET library components that use side effects heavily, such as GUI libraries and I/O libraries When initializing complex data structures When using inherently imperative, efficient data structures such as hash tables and hash sets When locally optimizing routines in a way that improves the performance of the functional version of the routine

select_lex class already has a join class defined. Why Because if you are executing another SELECT statement in a UNION or perhaps a reused thread from the connection pool, the select_lex class would already have been through this part of the code once and therefore we do not need to create another JOIN class. If there is no JOIN class in the select_lex class, a new one is created in the create statement join= new JOIN(). Finally, you see that the code calls the join->optimize() method. However, once again you are at another fuzzy boundary. This time, it occurs in the middle of the mysql_select() function. The next major function call in this function is the join->exec() method. But first, let s take a look at what happens in the mysql_select() method in Listing 3-11. Table 3-5 lists the source files associated with query optimization. Listing 3-11. The mysql_select() Function bool mysql_select(THD *thd, Item ***rref_pointer_array, TABLE_LIST *tables, uint wild_num, List<Item> &fields, COND *conds, uint og_num, ORDER *order, ORDER *group, Item *having, ORDER *proc_param, ulong select_options, select_result *result, SELECT_LEX_UNIT *unit, SELECT_LEX *select_lex) { bool err; bool free_join= 1; DBUG_ENTER("mysql_select"); select_lex->context.resolve_in_select_list= TRUE; JOIN *join; if (select_lex->join != 0) { join= select_lex->join; ... join->select_options= select_options; } else { if (!(join= new JOIN(thd, fields, select_options, result))) DBUG_RETURN(TRUE); ... } if ((err= join->optimize())) { goto err; }

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polished code you should use language constructs such as use var = expr to ensure the resource is closed at the end of the lexical scope where a stream object is active. For example: let myWriteStringToFile () = use outp = File.CreateText(@"playlist.txt") outp.WriteLine("Enchanted") outp.WriteLine("Put your records on") This is equivalent to the following: let myWriteStringToFile () = using (File.CreateText(@"playlist.txt")) (fun outp -> outp.WriteLine("Enchanted") outp.WriteLine("Put your records on")) where the function using has the following definition in the F# library: let using (ie : #System.IDisposable) f = try f(ie) finally ie.Dispose() use and using ensure that the underlying stream is closed deterministically and the operating system resources are reclaimed when the lexical scope is exited. This happens regardless of whether the scope is exited because of normal termination or because of an exception. We cover the language construct use, the operator using, and related issues in more detail in 8.

When working with very large data structures or in scenarios where the allocation of data structures must be minimized for performance reasons Some F# programmers don t use any imperative techniques except as part of the external wrapper for their programs. Adopting this form of pure functional programming for a time is an excellent way to hone your functional programming techniques.

... join->exec(); ... }

Note If you do not use using or otherwise explicitly close the stream, then the stream will be closed when

Tip Programming with fewer side effects is attractive for many reasons. For example, eliminating unnecessary

The definitions for the structures used in the select functions to support the SELECT commands Contains some of the optimization functions and the implementation of the select functions

the stream object is finalized by the .NET garbage collector. However, it is generally bad practice to rely on finalization to clean up resources in this way, since finalization is not guaranteed to happen in a deterministic, timely fashion.

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