ASP.NET PDF Viewer using C#, VB/NET

In this chapter you ll learn how to use XML as a concrete language format, how to convert XML to typed abstract syntax representations, how to design and work with abstract syntax representations, and how to use F# active patterns to hide representations You will also learn three advanced features of F# programming: F# computation expressions (also called workflows), F# reflection, and F# quotations These are used in later chapters, particularly s 13 and 15 10, Using the F# and NET Libraries, gives an overview of the libraries most frequently used with F#, including the NET Framework and the extra libraries added by F#..

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columns for such queries and uses the selected rowids to perform various operations also explains why select * from emp does not work but select e.* from emp does.

every five hours will likely be problematic That s almost fifteen minutes per day This measure doesn t usually include planned downtime, for backups and routine maintenance, for example On the other hand, some environments don t need to be highly available In many environments, as long as an application is available during business hours, folks are happy However, as applications become more connected, more global, and more automated, requirements for availability will increase Failure is inevitable Hardware fails Disk drives crash Networks go down Accepting this is a given; you provide for availability by adding redundancy to the system You must add redundancy at each point of failure Having redundancy at every point of failure is frequently called n+1 reliability N is a measure of the amount of resources needed to do the job The plus one provides the availability when failure occurs.

You must sometimes take care with recursive functions to ensure that they are tail recursive, or else the computation stack of your program may be exhausted by large inputs. This is particularly important for library functions or functions that operate over large data structures with very large numbers of recursive calls. Indeed, the implementation of length shown previously is not tail recursive. We discuss tail recursion in depth in 8.

As mentioned earlier, scrollable result sets (scroll-sensitive and scroll-insensitive) allow you to iterate through the result set either forward or backward, and to modify the current position in the result set to any desired row number using a relative or an absolute row number. This section covers some of these methods.

The following methods allow you to move to a new position in a scrollable result set (all of them throw a SQLException, although I don t show that specifically) The word cursor here refers to the current row position in the result set void beforeFirst(): This method moves the cursor to a position before the first row of the result set, and it has no effect if there are no rows in the result set This is the default initial position for any kind of result set Note that after invoking this method, there is no valid current row, so you cannot position relatively from this point void afterLast(): This method moves the cursor to a position after the last row of the result set, and it has no effect if there are no rows in the result set.

In this section, we cover the foundational building block of F# functional programming: function values We begin with a simple and well-known example: using function values to transform one list into another One of the primary uses of F# lists is as a general-purpose concrete data structure for storing ordered lists input and ordered results Input lists are often transformed to output lists using aggregate operations that transform, select, filter, and categorize elements of the list according to a range of criteria These aggregate operations provide an excellent introduction to how to use function values Let s take a closer look at this in the following code sample, which continues from the definition of http in Listing 2-2 in 2: > let sites = [ "http://wwwlivecom"; "http://wwwgoogle.