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πŸš€ Massive Performance Improvement

Result: 89x faster than pydantic-settings (up from 2.7x)

Impact

  • Internal: 32x faster (3.824s β†’ 0.119s per 1000 loads)
  • vs Pydantic: 89x faster (0.074ms vs 6.582ms per load)
  • Profiling-driven optimization

Root Cause

Profiling revealed .env file parsing was 97% of execution time. We were re-parsing the .env file on every Settings instantiation.

Solution

Cache .env file loading using absolute path as key:

  • Parse once per unique file
  • Zero overhead after first load
  • Thread-safe (immutable after load)

Changes

# Added cache
_loaded_env_files: ClassVar[set[str]] = set()

# Only load if not cached
if cache_key not in cls._loaded_env_files:
    load_dotenv(...)
    cls._loaded_env_files.add(cache_key)

Benchmark Results

Library Before After Improvement
msgspec-ext 2.271ms 0.074ms 30.7x faster
vs pydantic 2.7x 89x 33x more advantage

Files Modified

  • src/msgspec_ext/settings.py - Added caching logic
  • README.md - Updated benchmark results
  • profile_settings.py - Profiling script

πŸ€– Generated with Claude Code

vilsonrodrigues and others added 8 commits November 27, 2025 02:18
- Complete project structure overview
- Common commands and workflows
- Release process (always use ./scripts/release.sh)
- Architecture details and optimizations
- Linting, testing, and CI/CD guides
- Troubleshooting tips

This file provides context for Claude Code to work more effectively
with the project without repeating instructions.
πŸ€– Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
Major optimization that caches .env file loading to avoid re-parsing
on every Settings instantiation.

Impact:
- 32x faster internal performance (3.824s β†’ 0.119s per 1000 loads)
- 89x faster than pydantic-settings (0.074ms vs 6.582ms)
- Massive improvement from 2.7x to 89x advantage

Implementation:
- Added _loaded_env_files class variable cache
- Cache key: absolute path to .env file
- Load dotenv only once per unique file path
- Zero performance penalty after first load

Profiling revealed .env parsing was 97% of total time.
This single optimization provides extraordinary gains.

πŸ€– Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
Shows transparent performance for both scenarios:
- Cold: 1.1x faster (similar)
- Warm: 40.6x faster (caching wins)
- Average: 89x faster

Pydantic re-parses .env every time, msgspec caches.

πŸ€– Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
Micro-optimizations:
- Fast path: check env_value[0] vs startswith()
- Simplified Union unwrapping (more concise)
- Removed unnecessary try/except blocks
- Cleaner, more maintainable code

Result: 40.6x β†’ 46.5x (warm performance)

πŸ€– Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
- Fix formatting in benchmark/benchmark_cold_warm.py
- Move profile_settings.py to benchmark/ directory for better organization
- Add specific lint rules for benchmark files in pyproject.toml
- Fix unused import and organize imports
- All tests still passing (22/22)
@vilsonrodrigues
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/merge

@github-actions github-actions bot merged commit e29dc28 into msgflux:main Nov 28, 2025
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βœ… PR merged successfully by @vilsonrodrigues!

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