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  • Book Overview & Buying Groovy for Domain-Specific Languages, Second Edition
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Groovy for Domain-Specific Languages, Second Edition

Groovy for Domain-Specific Languages, Second Edition

By : Dearle
4.7 (3)
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Groovy for Domain-Specific Languages, Second Edition

Groovy for Domain-Specific Languages, Second Edition

4.7 (3)
By: Dearle

Overview of this book

The times when developing on the JVM meant you were a Java programmer have long passed. The JVM is now firmly established as a polyglot development environment with many projects opting for alternative development languages to Java such as Groovy, Scala, Clojure, and JRuby. In this pantheon of development languages, Groovy stands out for its excellent DSL enabling features which allows it to be manipulated to produce mini languages that are tailored to a project’s needs. A comprehensive tutorial on designing and developing mini Groovy based Domain Specific Languages, this book will guide you through the development of several mini DSLs that will help you gain all the skills needed to develop your own Groovy based DSLs with confidence and ease. Starting with the bare basics, this book will focus on how Groovy can be used to construct domain specific mini languages, and will go through the more complex meta-programming features of Groovy, including using the Abstract Syntax Tree (AST). Practical examples are used throughout this book to de-mystify these seemingly complex language features and to show how they can be used to create simple and elegant DSLs. Packed with examples, including several fully worked DSLs, this book will serve as a springboard for developing your own DSLs.
Table of Contents (14 chapters)
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1
1. Introduction to DSLs and Groovy
13
Index

FactoryBuilderSupport


BuilderSupport is the base class for many of the builder classes provided in the Groovy packages. As we can see from the previous examples, it is easy to work with. We have built quite a useful database builder tool in relatively few lines of code.

However, one issue with BuilderSupport is that the hook functions are in effect funnels for handling all of the possible tags that we might like to process in our markup. In our CustomerBuilder, we are handling just four different tags.

This is not a realistic scenario for most database schemas. We could expect to have dozens more tag types that we need to handle if we wanted to expand this example into something that would work with a typical database schema for even a modestly sized application. Funneling all of these tags into one createNode would create an unwieldy mess of code:

def createNode(name){
  Object result = null
    switch (name) {
       case "customer":
         return new Customer(firstName:"", lastName:"...
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Programming languages
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Groovy for Domain-Specific Languages, Second Edition
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