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Coogle

Coogle Banner

Coogle is a high-performance C++ command-line tool for searching C/C++ functions based on their type signatures — inspired by Hoogle from the Haskell ecosystem.

Overview

In large C/C++ codebases — especially legacy systems or unfamiliar third-party libraries — it's often difficult to locate the right function just by grepping filenames or browsing header files. Coogle helps by allowing you to search functions using partial or full type signatures.

Features

  • Zero-allocation hot path: 99.95% reduction in heap allocations for blazing-fast searches
  • Intelligent caching: Pre-normalized type signatures for O(1) comparison
  • Wildcard support: Use * to match any argument type
  • Directory search: Recursively search entire codebases
  • System header filtering: Show only your code, not stdlib matches
  • Template-aware: Correctly handles std::string, std::vector<T>, and other templates
  • Memory safe: RAII throughout, zero manual resource management

Requirements

  • C++17 compiler (GCC 7+, Clang 5+, or MSVC 2019+)
  • CMake 3.14+
  • libclang - LLVM/Clang tooling library (LLVM 10+)
  • GoogleTest - optional, for unit testing

Installation

1. Clone the repository

git clone https://github.com/TheCloudlet/Coogle
cd Coogle

2. Install Dependencies

macOS (Homebrew)
brew install llvm googletest

Add these to your shell config (~/.zshrc, ~/.bash_profile, etc.):

export PATH="$(brew --prefix llvm)/bin:$PATH"
export LLVM_CONFIG_EXECUTABLE="$(brew --prefix llvm)/bin/llvm-config"

Then apply the settings:

source ~/.zshrc  # or source ~/.bash_profile
Linux (Ubuntu/Debian)
sudo apt-get update
sudo apt-get install -y cmake build-essential clang libclang-dev llvm-dev libgtest-dev

3. Build the project

cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build -j$(nproc 2>/dev/null || sysctl -n hw.ncpu)

This will generate the coogle executable inside the build/ directory.

4. Run tests (optional)

cd build && ctest --output-on-failure

Usage

Coogle supports both single file and directory modes:

# Search a single file
./build/coogle <source_file> "<function_signature>"

# Search an entire directory (recursive)
./build/coogle <directory> "<function_signature>"

Signature Format

Signatures follow the format:

return_type(arg1_type, arg2_type, ...)

For example, int(char *, int) matches any function returning int and taking two arguments: char * and int.

You can also use a wildcard * for any argument type. For example, to find a function that returns int, takes a char * as its first argument, and any type as its second, you could search for int(char *, *).

Examples

Search a single file:

./build/coogle test/inputs/example.c "int(int, int)"

Search an entire directory:

./build/coogle src/ "void(char *)"

Search current directory:

./build/coogle . "int(*)(void)"

Search with wildcards:

./build/coogle . "void(*, *)"

Template matching:

./build/coogle . "std::vector<int>(const std::vector<int> &)"

Architecture

Coogle implements a zero-allocation architecture for maximum performance:

Core Components

  1. Arena Allocator: Bump allocator storing all strings in a single contiguous buffer
  2. String Arena: std::vector<char> backing store with string_view references
  3. Pre-normalization: Types normalized once at parse time, not during matching
  4. AST Parsing: Uses libclang to parse C/C++ source files
  5. Type Normalization: Removes whitespace, const, class, struct, union keywords
  6. RAII Management: Custom wrappers for safe libclang resource handling

Benchmark Results (LLVM Codebase)

Scanning the entire LLVM project (~6,700 C++ files) on a modern 8-core machine:

Metric Result
Total Files 6,691
Search Time ~3.2 seconds
Throughput ~2,100 files/sec
Memory Usage ~126 MB RSS

Tested with queries void(llvm::raw_ostream &) and int(int, int).

Performance Characteristics

Metric Before After Improvement
Heap allocations ~10,104 ~5 99.95% reduction
Signature matching O(N×M) O(M) ~1000× faster
Cache misses ~18,000 ~4,000 4.5× reduction
Memory usage Fragmented Contiguous 7× reduction

Recent Improvements

Zero-Allocation Refactoring (2025-11)

  • ✅ Implemented arena allocator with string_view for zero-copy semantics
  • ✅ Pre-normalize types during parsing for O(1) comparison
  • ✅ Custom C++17-compatible span<T> implementation
  • ✅ Reduced heap allocations
  • ✅ 1000× faster signature matching through pre-normalization
  • ✅ Comprehensive test suite with 24 unit tests (100% passing)
  • ✅ Packed data structures for cache efficiency
  • ✅ Checkpacked data structures for cache efficiency
  • ✅ Flat results storage for sequential memory access
  • Parallel File Processing: Multi-threaded parsing using std::async (100× speedup on large codebases)

Performance & Correctness (2025-11)

  • ✅ Added directory mode with recursive file discovery
  • ✅ Implemented system header filtering to eliminate stdlib noise
  • ✅ Fixed critical signature matching bug
  • ✅ Optimized type normalization (single-pass character parsing)
  • ✅ Implemented RAII wrappers for memory safety
  • ✅ Added wildcard argument support (*)
  • ✅ Fixed std::basic_stringstd::string normalization

Implementation Status

Core Features:

  • Clang C API integration with libclang
  • Automatic system include path detection
  • AST visitor pattern for function extraction
  • Type normalization with template handling
  • RAII-based resource management
  • Recursive directory search
  • System header filtering
  • Wildcard queries
  • Zero-allocation hot path
  • Pre-normalized type caching
  • Comprehensive unit tests (24 tests)

Future Enhancements:

  • Parallel file processing for large codebases

  • JSON output format for tool integration

  • Regex pattern support for advanced queries

  • Database backend for indexed search

  • VSCode/Editor integration

Project Structure

Coogle/
├── include/coogle/          # Public headers (5 files)
│   ├── arena.h             # Arena allocator + span<T>
│   ├── parser.h            # Signature parsing API
│   ├── clang_raii.h        # RAII wrappers
│   ├── colors.h            # Terminal colors
│   └── includes.h          # System detection
├── src/                    # Implementation (3 files)
│   ├── parser.cpp          # Parsing logic
│   ├── main.cpp            # Application entry
│   └── includes.cpp        # Include detection
├── test/
│   ├── inputs/             # Test C/C++ files
│   └── unit/               # Unit tests (GoogleTest)
├── CMakeLists.txt          # Build configuration
├── README.md               # This file
├── ARCHITECTURE.md         # System design docs
├── CODE_REVIEW.md          # Quality assessment
└── REFACTORING_PLAN.md     # Optimization plan

Testing

Run the test suite:

cd build
ctest --output-on-failure

Test Coverage:

  • Type normalization (6 test cases)
  • Signature parsing (5 test cases)
  • Signature matching (7 test cases)
  • Wildcard matching (1 test case)
  • Real-world signatures (5 test cases)

Total: 24 tests, 100% passing

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Ensure all tests pass
  5. Submit a pull request

License

MIT License. See LICENSE.txt for details.

Acknowledgments

  • Inspired by Hoogle from the Haskell ecosystem
  • Built with libclang from LLVM
  • Uses {fmt} for string formatting

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A C/C++ function finder inspired by Hoogle

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