Book Image

Build Your Own Programming Language - Second Edition

By : Clinton L. Jeffery
Book Image

Build Your Own Programming Language - Second Edition

By: Clinton L. Jeffery

Overview of this book

There are many reasons to build a programming language: out of necessity, as a learning exercise, or just for fun. Whatever your reasons, this book gives you the tools to succeed. You’ll build the frontend of a compiler for your language and generate a lexical analyzer and parser using Lex and YACC tools. Then you’ll explore a series of syntax tree traversals before looking at code generation for a bytecode virtual machine or native code. In this edition, a new chapter has been added to assist you in comprehending the nuances and distinctions between preprocessors and transpilers. Code examples have been modernized, expanded, and rigorously tested, and all content has undergone thorough refreshing. You’ll learn to implement code generation techniques using practical examples, including the Unicon Preprocessor and transpiling Jzero code to Unicon. You'll move to domain-specific language features and learn to create them as built-in operators and functions. You’ll also cover garbage collection. Dr. Jeffery’s experiences building the Unicon language are used to add context to the concepts, and relevant examples are provided in both Unicon and Java so that you can follow along in your language of choice. By the end of this book, you'll be able to build and deploy your own domain-specific language.
Table of Contents (27 chapters)
1
Section I: Programming Language Frontends
7
Section II: Syntax Tree Traversals
13
Section III: Code Generation and Runtime Systems
22
Section IV: Appendix
23
Answers
24
Other Books You May Enjoy
25
Index

Organizing a bytecode language implementation

To a large extent, the organization of this book follows the classic organization of a bytecode compiler and its corresponding virtual machine. These components are defined here, followed by a diagram to summarize them:

  • A lexical analyzer reads in source code characters and figures out how they are grouped into a sequence of words or tokens.
  • A syntax analyzer reads in a sequence of tokens and determines whether that sequence is legal, according to the grammar of the language. If the tokens are in a legal order, it produces a syntax tree.
  • A semantic analyzer checks to ensure that all the names being used are legal for the operations in which they are being used. It checks their types to determine exactly what operations are being performed. All this checking makes the syntax tree heavy, laden with extra information about where variables are declared and what their types are.
  • An intermediate code generator figures out memory locations for all the variables and all the places where a program may abruptly change execution flow, such as loops and function calls. It adds them to the syntax tree and then walks this even fatter tree, before building a list of machine-independent intermediate code instructions.
  • A final code generator turns the list of intermediate code instructions into the actual bytecode, in a file format that will be efficient to load and execute.

In addition to the steps of this bytecode virtual machine compiler, a bytecode interpreter is written to load and execute programs. It is a giant loop with a switch statement in it. For very high-level programming languages, the compiler might be no big deal, and all the magic may be in the bytecode interpreter. The whole organization can be summarized by the following diagram:

Figure 1.1 – Phases and dataflow in a simple programming language

Figure 1.1: Phases and dataflow in a simple programming language

It will take a lot of code to illustrate how to build a bytecode machine implementation of a programming language. How that code is presented is important and will tell you what you need to know going in, as well as what you may learn from going through this book.