
- Compiler Design - Home
- Compiler Design - Overview
- Compiler Design - Architecture
- Phases
- Compiler Design - Phases
- Compiler Design - Global Optimization
- Compiler Design - Local Optimization
- Lexical Analysis
- Compiler Design - Lexical Analysis
- Compiler Design - Regular Expressions
- Compiler Design - Finite Automata
- Compiler Design - Language Elements
- Compiler Design - Lexical Tokens
- Compiler Design - FSM
- Compiler Design - Lexical Table
- Compiler Design - Sequential Search
- Compiler Design - Binary Search Tree
- Compiler Design - Hash Table
- Syntax Analysis
- Compiler Design - Syntax Analysis
- Compiler Design - Parsing Types
- Compiler Design - Grammars
- Compiler Design - Classes Grammars
- Compiler Design - Pushdown Automata
- Compiler Design - Ambiguous Grammar
- Parsing
- Compiler Design - Top-Down Parser
- Compiler Design - Bottom-Up Parser
- Compiler Design - Simple Grammar
- Compiler Design - Quasi-Simple Grammar
- Compiler Design - LL(1) Grammar
- Error Recovery
- Compiler Design - Error Recovery
- Semantic Analysis
- Compiler Design - Semantic Analysis
- Compiler Design - Symbol Table
- Run Time
- Compiler Design - Run-time Environment
- Code Generation
- Compiler Design - Code Generation
- Converting Atoms to Instructions
- Compiler Design - Transfer of Control
- Compiler Design - Register Allocation
- Forward Transfer of Control
- Reverse Transfer of Control
- Code Optimization
- Compiler Design - Code Optimization
- Compiler Design - Intermediate Code
- Basic Blocks and DAGs
- Control Flow Graph
- Compiler Design - Peephole Optimization
- Implementing Translation Grammars
- Compiler Design - Attributed Grammars
Lexical Table in Compiler Design
The first task in compiler design is to distinguish the symbols, the tokens, and other elements. This is called the lexical analysis phase. When we write programs, they have a lot of information like variable names, constants, and labels that are to be tracked and managed during compilation. This is where lexical tables are used. These tables help the compiler to organize, store, and quickly access critical information during the compilation process.
Lexical tables are used primarily in the lexical analysis phase that breaks down the source code into tokens and organizes them for use in later phases, like syntax analysis and code generation. Read this chapter to get a good understanding of lexical tables, their purpose, and their general implementation.
What are Lexical Tables?
In a broad sense, a lexical table is a data structure that stores information about the tokens identified during lexical analysis. This information could include the following:
- Identifiers (e.g., variable names like x, y, or total).
- Constants (e.g., numeric values like 42 or string literals like "hello").
- Statement Labels (e.g., line numbers or points in code for jumps and loops).
Think of a lexical table as a detailed catalog. Here the catalog is referred by the compiler whenever it needs more information about a token.
Why are Lexical Tables Important?
Lexical tables make the compiler's job easier and faster. Without them, the compiler would have to repeatedly search through the entire source code for information about tokens. This will slow down the process significantly.
Lexical tables help in the following ways −
- Prevent Redundancy − Each unique token is stored only once.
- Enable Quick Lookups − The compiler can instantly retrieve information about a token, such as its type or value.
- Support Later Phases − Tables provide essential data for syntax analysis, optimization, and code generation.
Types of Information Stored in Lexical Tables
Lexical tables can store different types of data depending on the programming language and the compilers requirements. These common entries are −
- Symbol Table − Keeps track of variable names, function names, and their associated properties (for example the type, scope).
- Constant Table − Stores numeric, string, or other literal constants used in the program.
- Line Number Table − Useful in debugging tools to map code to specific lines in the source file.
For instance, if a program contains a variable count and a constant 100, the lexical tables would store these entries along with their types, locations, and other metadata information.
How are Lexical Tables Used?
Let us consider a simple program statement −
int count = 100;
During lexical analysis, the compiler breaks this line into tokens like int, count, =, and 100. It then records information about these tokens in the lexical tables −
- Keyword int − A predefined data type
- Identifier count − A variable name with the type int
- Constant 100 − A numeric literal
These entries gives us that the compiler knows what each token means and how it is used in the program.
Common Techniques for Implementing Lexical Tables
So far we have understood the idea of lexical tables. Now let us discuss how these tables are formed. They can be implemented using various data structures, each with its own strengths and weaknesses.
We will explore these techniques in detail later; here we present an overview of the most common approaches −
Search Method | Description |
---|---|
Sequential Search |
|
Binary Search Trees |
|
Hash Tables |
|
Each of these methods has its place depending on the size and complexity of the program being compiled.
Applications of Lexical Tables in Compilation
Lexical tables are used in our real-world compilers and interpreters. Let us see some of the examples −
- Storing Identifiers − Variables, function names, and class names are stored in symbol tables. These are a type of lexical table.
- Tracking Constants − Numeric and string constants are stored for easy reference during code generation.
- Debugging Information − Tables map tokens back to their original source code locations. This is helping debuggers display meaningful error messages.
For example, in languages like BASIC the line numbers are stored in lexical tables. This is because it supports jump statements like GOTO.
General Benefits of Lexical Tables
Using lexical tables has several advantages −
- Improved Performance − Quick lookups save time during compilation.
- Better Organization − Tables help keep track of tokens and their properties systematically.
- Reusability − Information stored in tables can be reused across multiple phases of compilation.
Without lexical tables, compilers would struggle to handle even moderately sized programs efficiently.
Challenges in Building Lexical Tables
Some of the common challenges in building lexical table include the following –
- Scalability − Large programs can result in massive tables. This require efficient data structures.
- Collision Handling − In hash tables, multiple tokens may map to the same location. This is requiring careful collision resolution.
- Balancing Trees − For binary search trees, maintaining balance is quite challenging to give fast lookups.
Conclusion
Lexical tables play a critical role in compiler design; they act as the backbone for managing and retrieving critical information. By organizing tokens systematically, they help the compilers to process even the most complex programs efficiently and accurately.
In this chapter, we explained the concept of lexical tables and their role in organizing data during compilation. We covered their importance, the types of information they store, and how they support various phases of the compiler. We also presented the common techniques for implementing lexical tables, such as sequential search, binary search trees, and hash tables.