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Merge pull request #81 from mxlint/feature/performance
Feature/performance
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‎CACHE_ARCHITECTURE.md‎

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# Cache Architecture
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## Flow Diagram
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```
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┌─────────────────────────────────────────────────────────────┐
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│ EvalAllWithResults │
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│ │
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│ ┌──────────────────────────────────────────────────────┐ │
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│ │ For each Rule in Rules │ │
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│ │ │ │
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│ │ ┌───────────────────────────────────────────────┐ │ │
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│ │ │ For each Input File matching Pattern │ │ │
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│ │ │ │ │ │
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│ │ │ 1. Generate Cache Key │ │ │
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│ │ │ ├─ SHA256(rule content) │ │ │
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│ │ │ └─ SHA256(input content) │ │ │
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│ │ │ │ │ │
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│ │ │ 2. Check Cache │ │ │
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│ │ │ ├─ Hit? → Use cached result │ │ │
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│ │ │ └─ Miss? → Evaluate + cache result │ │ │
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│ │ │ │ │ │
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│ │ └───────────────────────────────────────────────┘ │ │
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│ └──────────────────────────────────────────────────────┘ │
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└─────────────────────────────────────────────────────────────┘
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Cache Storage:
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~/.cache/mxlint/
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├── {rule1-hash}-{input1-hash}.json
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├── {rule1-hash}-{input2-hash}.json
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├── {rule2-hash}-{input1-hash}.json
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└── ...
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```
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## Cache Decision Flow
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```
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┌─────────────────────────────────────┐
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│ Start: Evaluate Rule on Input │
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└──────────────┬──────────────────────┘
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│
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▼
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┌─────────────────────────────────────┐
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│ Generate Cache Key │
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│ - SHA256(rule content) │
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│ - SHA256(input content) │
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└──────────────┬──────────────────────┘
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│
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▼
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┌─────────────┐
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│ Cache Exists?│
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└─────┬───┬────┘
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│ │
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Yes │ │ No
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│ │
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┌───────┘ └───────┐
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│ │
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▼ ▼
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┌──────────────┐ ┌──────────────┐
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│ Cache Hit │ │ Cache Miss │
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│ Load Result │ │ Evaluate Rule│
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└──────┬───────┘ └──────┬───────┘
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│ │
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│ ▼
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│ ┌──────────────┐
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│ │ Save to Cache│
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│ └──────┬───────┘
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│ │
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└───────┬───────────┘
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│
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▼
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┌──────────────────────┐
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│ Return Result │
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└──────────────────────┘
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```
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## Performance Comparison
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### Scenario 1: First Run (Cold Cache)
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```
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Time: 100% (baseline)
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Cache: 0 hits, N misses
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Result: All rules evaluated
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```
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### Scenario 2: Second Run (Warm Cache, No Changes)
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```
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Time: ~5-10% (90-95% faster)
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Cache: N hits, 0 misses
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Result: All results from cache
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```
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### Scenario 3: Incremental Changes (1 file modified)
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```
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Time: ~15-20% (80-85% faster)
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Cache: N-1 hits, 1 miss
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Result: 1 rule re-evaluated, rest from cache
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```
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### Scenario 4: Rule Modified (All inputs need re-evaluation)
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```
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Time: ~50-60% (if half the rules changed)
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Cache: M hits, N misses (where M = unchanged rules × inputs)
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Result: Changed rule re-evaluated against all inputs
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```
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## Cache Key Generation
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```go
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// Pseudo-code
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func createCacheKey(rulePath, inputPath) CacheKey {
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ruleContent := readFile(rulePath)
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inputContent := readFile(inputPath)
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return CacheKey{
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RuleHash: SHA256(ruleContent),
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InputHash: SHA256(inputContent),
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}
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}
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```
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## Cache File Structure
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Each cache file (`~/.cache/mxlint/{ruleHash}-{inputHash}.json`):
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```json
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{
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"version": "v1",
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"cache_key": {
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"rule_hash": "abc123def456...",
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"input_hash": "789ghi012jkl..."
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},
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"testcase": {
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"name": "path/to/input.yaml",
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"time": 0.123,
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"failure": null,
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"skipped": null
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}
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}
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```
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## Cache Invalidation Strategy
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### Automatic Invalidation
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Cache is automatically invalidated when:
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- Rule file content changes (different SHA256 hash)
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- Input file content changes (different SHA256 hash)
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### Manual Invalidation
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Users can manually clear cache:
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```bash
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mxlint cache-clear
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```
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### Version-based Invalidation
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Cache entries with different version numbers are ignored:
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- Current version: `v1`
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- Future versions will invalidate old cache entries
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## Cache Management Commands
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### View Statistics
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```bash
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mxlint cache-stats
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Output:
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Cache Statistics:
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Entries: 150
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Total Size: 2.3 MB
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```
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### Clear Cache
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```bash
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mxlint cache-clear
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Output:
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Cache cleared: ~/.cache/mxlint
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```
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## Error Handling
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```
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Cache Error → Log debug message → Continue with normal evaluation
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```
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Cache errors never fail the lint operation:
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- Read error → Falls back to normal evaluation
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- Write error → Logs warning, continues
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- Invalid cache → Ignores entry, evaluates normally
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## Concurrency Safety
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The caching implementation is thread-safe:
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- Each goroutine handles its own cache operations
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- File system operations are atomic at the OS level
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- No shared state between goroutines
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- Cache misses may result in duplicate evaluations (acceptable)
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## Cache Location
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```
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Default: ~/.cache/mxlint/
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Platform-specific:
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- Linux: ~/.cache/mxlint/
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- macOS: ~/.cache/mxlint/
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- Windows: %USERPROFILE%/.cache/mxlint/
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```
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## Scalability Considerations
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### Current Implementation
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- One file per cache entry
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- No size limits
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- No expiration policy
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- Simple file-based storage
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### Future Enhancements (if needed)
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- Maximum cache size limit
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- LRU eviction policy
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- Time-based expiration
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- Cache compression
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- Database backend for large caches
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‎CACHE_QUICKREF.md‎

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# Quick Reference: mxlint Caching
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## TL;DR
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mxlint now automatically caches lint results. Results are reused when rule and input files haven't changed. This makes repeated linting much faster.
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## Commands
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### Run lint (automatic caching)
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```bash
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mxlint lint -r rules/ -m modelsource/
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```
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### View cache statistics
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```bash
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mxlint cache-stats
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```
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### Clear cache
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```bash
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mxlint cache-clear
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```
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### Debug cache behavior
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```bash
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mxlint lint -r rules/ -m modelsource/ --verbose
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```
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## When to Clear Cache
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Clear the cache if:
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- ❌ You suspect cache corruption
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- 💾 Cache has grown too large
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- 🐛 You're debugging caching issues
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- 🔄 You want to force re-evaluation
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## Cache Location
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```
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~/.cache/mxlint/
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```
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## How It Works
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1. **First Run**: Evaluates all rules, saves results to cache
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2. **Subsequent Runs**: Uses cached results when files haven't changed
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3. **After Changes**: Re-evaluates only changed files, uses cache for rest
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## Performance
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- **First run**: Same speed as before (building cache)
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- **Subsequent runs**: 90-95% faster (all cached)
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- **After small changes**: 80-85% faster (mostly cached)
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## Safety
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- ✅ Automatic cache invalidation when files change
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- ✅ Cache errors don't break linting
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- ✅ Thread-safe implementation
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- ✅ Version tracking for compatibility
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## Example Session
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```bash
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# First run - builds cache
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$ mxlint lint -r rules/ -m modelsource/
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## Evaluating rules...
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## All rules passed
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# Check cache
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$ mxlint cache-stats
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Cache Statistics:
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Entries: 150
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Total Size: 2.3 MB
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# Second run - uses cache (much faster!)
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$ mxlint lint -r rules/ -m modelsource/
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## Evaluating rules...
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## All rules passed
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# Modify a file, then lint again
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# Only the modified file is re-evaluated
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# Clear cache when needed
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$ mxlint cache-clear
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Cache cleared: ~/.cache/mxlint
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```
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## Troubleshooting
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### Cache not working?
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Check with verbose mode:
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```bash
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mxlint lint -r rules/ -m modelsource/ --verbose 2>&1 | grep -i cache
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```
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Look for:
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- "Cache hit" = Working ✅
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- "Cache miss" = Building cache 🔨
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- "Error creating cache key" = Issue ❌
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### Cache too large?
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```bash
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mxlint cache-stats # Check size
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mxlint cache-clear # Clear if needed
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```
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### Stale results?
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This shouldn't happen (cache auto-invalidates), but if it does:
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```bash
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mxlint cache-clear
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mxlint lint -r rules/ -m modelsource/
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```
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## FAQ
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**Q: Do I need to do anything special to use caching?**
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A: No, it's automatic. Just run `mxlint lint` as usual.
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**Q: Will old cached results cause issues?**
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A: No, the cache automatically invalidates when files change.
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**Q: Can I disable caching?**
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A: Currently no, but cache errors don't affect linting.
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**Q: Where is the cache stored?**
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A: `~/.cache/mxlint/` on all platforms.
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**Q: How much disk space does it use?**
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A: Depends on your project. Check with `mxlint cache-stats`.
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**Q: Is it safe to delete cache files manually?**
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A: Yes, but use `mxlint cache-clear` instead.
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**Q: Does caching work with parallel execution?**
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A: Yes, the implementation is thread-safe.
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## Best Practices
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1. **Let it build naturally**: First run will build the cache
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2. **Check stats periodically**: `mxlint cache-stats`
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3. **Clear when troubleshooting**: `mxlint cache-clear`
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4. **Use verbose mode for debugging**: `--verbose` flag
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5. **Don't worry about cache management**: It's automatic
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