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Individual rules of a match can be guarded by a condition that is executed if the pattern itself succeeds. Here is a simple use of this mechanism to record the three clauses of computing the sign of an integer: let sign x = match x with | _ when x < 0 -> -1 | _ when x > 0 -> 1 | _ -> 0 Two patterns can be combined to represent two possible paths for matching: let getValue a = match a with | (("lo" | "low") ,v) -> v | ("hi",v) | ("high",v) -> v | _ -> failwith "expected a both a high and low value";; Here the pattern ("lo" | "low") matches either string. The pattern ("hi",v) | ("high",v) plays essentially the same role by matching pairs values where the left of the pair is "hi" or "high" and by binding the value v on either side of the pattern.

In 3, you saw the different forms of string literals (strings with escape characters, verbatim strings, and byte arrays) and the most typical operations, such as concatenation using string builders. You may also remember that string values are immutable and that string operations that seem to change their input actually return a new string that represents the result. The following sections cover further ways to work with strings and text.

Tip A memory-based table is created under the /data_dir/database_name/table_name.frm directory. It is possible to automatically create memory-based tables using the --init-file=file startup option. In this case, the file specified should contain the SQL statements to re-create the table. Since the table was created once, you can omit the CREATE statement because the table definition is not deleted on system restart.

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One of the most popular ways of working with strings as data is through the use of regular expressions. You do this using the functionality from the .NET System.Text.RegularExpressions namespace. To get started, first note that the F# library includes the following definition: open System.Text.RegularExpressions let regex s = new Regex(s) To this, you can add the following Perl-like operators: let (=~) s (re:Regex) = re.IsMatch(s) let (<>~) s (re:Regex) = not (s =~ re)

Note Individual patterns cannot bind the same variables twice. For example, a pattern (x,x) is not

The merge storage engine is built using a set of MyISAM tables with the same structure (tuple layout or schema) that can be referenced as a single table. Thus, the tables are partitioned by the location of the individual tables, but no additional partitioning mechanisms are used. All tables must reside on the same machine (accessed by the same server). Data is accessed using singular operations or statements such as SELECT, UPDATE, INSERT, and DELETE. Fortunately, when a DROP is issued on a merge table, only the merge specification is removed. The original tables are not altered. The biggest benefit of this table type is speed. It is possible to split a large table into several smaller tables on different disks, combine them using a merge table specification, and access them simultaneously. Searches and sorts will execute more quickly since there is less data in each table to manipulate. For example, if you divide the data by a predicate, you can search only those specific portions that contain the category you are searching for. Similarly, repairs

Here, the inferred types are as follows: val regex : string -> Regex val ( =~ ) : string -> Regex -> bool val ( <>~ ) : string -> Regex -> bool The infix operators allow you to test for matches: > let samplestring = "This is a string";; val samplestring : string > if samplestring =~ regex "his" then printfn "A Match! ";; A Match! val it : unit = () Regular expressions can include *, +, and symbols for zero or more occurrences, one or more occurrences, and zero or one occurrences of the immediately preceding regular expression, respectively, and can include parentheses to group regular expressions. For example: > "This is a string" =~ regex "(is )+";; val it : bool = true Regular expressions can also be used to split strings: > (regex " ").Split("This is a string");; val it : string [] = [|"This"; "is"; "a"; "string"|] Here, you use the regular expression " " for whitespace. In reality, you probably want to use the regular expression " +" to match multiple spaces. Better still, you can match any Unicode whitespace character using \s, including end-of-line markers; however, when using escape characters, you should use verbatim strings to specify the regular expression, such as @"\s+". 3 discussed verbatim strings. Let s try this: > (regex @"\s+").Split("I'm a little teapot");; val it : string [] = [|"I'm"; "a"; "little"; "teapot"|] > (regex @"\s+").Split("I'm a little \t\t\n\t\n\t teapot");; val it : string [] = [|"I'm"; "a"; "little"; "teapot"|] Here s how to match by using the method Match instead of using =~ and IsMatch. This lets you examine the positions of a match:

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