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For many applications, a full-blown parser is probably overkill. However, for many applications, using a parser will make your life much easier in the future. Not only does using a parser mean that your lexer might be simplified, but you can provide for functionality far beyond what you can do with a lexer only. You might need a parser when you implement a domain-specific language (DSL). DSLs, which are found in a variety of applications, are configuration languages, embedded scripting languages, and data description languages. SQL is probably the most popular DSL in wide use. These kinds of languages can be built using ocamlyacc. You also can use a parser to handle situations that are too complicated for regular expressions alone. Text mining and log file analysis are two areas in which having a lexer/parser combination can result in better code and easier maintenance.

side for generic parsing, why not parse it into JSON format and let JavaScript s eval() function do the work for you It s a lighter payload than XML, which in turn lightens the load on your network resources.

The installer also adds sample data, which you ll use in this chapter s example. Of course, if you already have a SugarCRM database, you can use that data instead.

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Let s suppose your boss has experienced productivity problems with the sales force. In an effort to boost output, he wants to reward productive employees with a gift based on their number of meetings with clients and potential clients. The more meetings a salesperson has, the better the gift. He would like to keep tabs on this effort, and wants you to produce a report that lists each salesperson and the gift that person has earned. Your boss wants the report to be made available in a format that is easy to print and e-mail. Therefore, you ve decided to create the report as a PDF file. Fortunately, it should be fairly easy to create a Ruby report that pulls this data from the SugarCRM database. First, though, you ll need to modify the database to include the extra gift information.

DSLs are programming languages that are focused on one problem domain. That problem domain can be anything: text processing, image manipulation, configuration, page layout, and so on. This focus on a single domain is what separates DSLs from general-purpose programming languages such as OCaml. OCaml is designed to be able to solve problems in a variety of problem domains. DSLs can be a real boon in complicated programs. These languages are often called extension languages because they are designed to extend some core functionality. The Emacs text editor, with its extension language Emacs Lisp, is probably one of the best examples of how powerful having an extension language can be. Another is Microsoft Excel with Visual Basic for Applications. These two applications have a programming language embedded within them that enables a user to extend the functionality of the application in ways that the original programmer did not do. However, DSLs are not restricted to extension languages. SQL, for example, is a DSL. Many report generators use their own DSL to describe reports. Make is another application that uses a DSL to accomplish its goals. When writing a complicated application that might have complex customization or actions, consider writing a DSL for it, thus allowing extension to be done this way rather than via code changes. One of the biggest questions to ask when making this decision is this: is it worth it Writing a small language is not hard to do using tools such as ocamllex and ocamlyacc, but writing a good language is always hard no matter which tools you use.

s Note If you re receiving XML data from another source, it would not be beneficial to parse that data into

Listing 8-1. Sample Data for the Sales Force Reporting Application (rewards_data.sql)

Like ocamllex, ocamlyacc transforms an input file that is not OCaml code into OCaml code. The input file is writing in a language that is very similar to the original Yacc. Yacc is written in C, and the output files are also C files. Semantic actions in ocamlyacc are written in OCaml code. One difference between ocamllex and ocamlyacc is that ocamlyacc also generates an interface file for the parser (this adds another step to the build process).

JSON format. The CPU cycles that you would use to parse the XML to JSON would outweigh any benefit that you might reap in the transfer phase. However, if you re retrieving or generating generic data and find that you must choose between XML and JSON, it may be in your best interest to use JSON format instead.

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