fix: Optimize sync memory usage to prevent OOM on large projects#380
fix: Optimize sync memory usage to prevent OOM on large projects#380phernandez merged 1 commit intomainfrom
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Claude finished @phernandez's task —— View job PR Review Complete ✅I've reviewed PR #380 against the Basic Memory team standards. Here's my comprehensive assessment: Code Quality & Standards ✅Follows Basic Memory's coding conventions in CLAUDE.md ✅
Python 3.12+ type annotations and async patterns ✅
SQLAlchemy 2.0 best practices ✅
FastAPI and Typer conventions ✅
Pydantic configuration ✅
Testing & Documentation
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Implements P1 and P2 fixes from basicmachines-co/basic-memory-cloud#198 Changes: - Add semaphore to limit concurrent file processing (default: 10 files max) - Add LRU cache with bounded size for file failure tracking (max 100 entries) - Add sync_max_concurrent_files configuration option - Update sync_thread_pool_size documentation Impact: - Reduces peak memory usage by 90%+ on large projects (2000+ files) - Prevents OOM kills on 1GB machines with projects containing 2,621 files - Before: All files could load into memory simultaneously - After: Maximum 10 files in memory at once (configurable) Related: basicmachines-co/basic-memory-cloud#198 Signed-off-by: Claude <noreply@anthropic.com> Signed-off-by: phernandez <paul@basicmachines.co>
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Claude finished @phernandez's task —— View job PR Review Complete ✅I've reviewed this PR against the Basic Memory team standards. Overall, this is a well-designed, focused fix that addresses a critical OOM issue with minimal surface area. Here's my detailed assessment: Code Quality & Standards ✅Strengths
Review Commentssrc/basic_memory/config.py:87-88
src/basic_memory/sync/sync_service.py:138
Testing & Documentation ✅Documentation
Testing
Architecture & Design ✅P1: Semaphore Implementation
P2: LRU Cache for Failure Tracking
Architectural Compliance
Security & Performance ✅Security
Performance Considerations
RecommendationsRequiredNone - this PR is ready to merge as-is. Nice-to-Have
Configuration GuidanceFor deployments with <1GB RAM: {
"sync_max_concurrent_files": 5, // More conservative for constrained environments
"sync_thread_pool_size": 4 // Keep default
}Final AssessmentStatus: ✅ APPROVED - Ready to Merge This PR demonstrates excellent engineering:
The implementation correctly uses async primitives (semaphore) to limit concurrent file operations while maintaining the existing async architecture. The LRU cache for failure tracking is a nice defensive improvement that prevents unbounded memory growth. Recommendation: Merge and monitor tenant-6d2ff1a3 performance as outlined in the test plan. |
Summary
Implements P1 and P2 memory optimization fixes from basicmachines-co/basic-memory-cloud#198 to prevent OOM kills on large projects.
Changes
P1: Semaphore for Concurrent File Processing
asyncio.Semaphoreto limit concurrent file operations (default: 10 files)_read_file_async()and_compute_checksum_async()with semaphoresync_max_concurrent_filesconfiguration optionP2: LRU Cache for File Failure Tracking
_file_failuresfromDicttoOrderedDictfor LRU behavior_record_failure()to enforce cache size and maintain LRU orderingDocumentation
sync_thread_pool_sizedescription to note optimization for 1-2GB cloud deploymentssync_max_concurrent_filesparameterImpact
Memory Reduction:
OOM Prevention:
Configuration:
Users can tune memory usage via config:
{ "sync_thread_pool_size": 4, // Thread pool workers (default: 4) "sync_max_concurrent_files": 10 // Max concurrent files (default: 10) }For very constrained environments,
sync_max_concurrent_filescan be lowered to 5.Test Plan
Related Issues
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