master_adapt_detect/fix_stalled_processing.py
2025-10-01 14:32:55 -05:00

61 lines
No EOL
2.9 KiB
Python

#!/usr/bin/env python3
"""
Fix for stalled parallel processing - reduces bottleneck by adjusting worker counts
"""
import argparse
import sys
import os
def main():
print("🔧 Parallel Processing Stall Fix")
print("=" * 50)
print("\n📊 ANALYSIS OF THE STALL:")
print("1. Inlier analysis queue has consistent 3 items (bottleneck)")
print("2. Each inlier analysis takes 60-167 seconds (very slow)")
print("3. 4 layout workers are waiting for 1 serial inlier analysis")
print("4. High swap usage (72.7%) triggering unnecessary memory pressure")
print("5. Memory pressure is reducing workers when it shouldn't")
print("\n🚀 RECOMMENDED SOLUTIONS:")
print("\n1. IMMEDIATE FIX (restart with reduced workers):")
print(" python cli.py --all --hybrid --split-simple --refinement-mode \\")
print(" --inlier-threshold 0.15 --inlier-ratio-threshold 0.2 \\")
print(" --fallback-one-at-a-time --enable-cost-tracking --cost-report \\")
print(" --parallel-layouts --layout-workers 2")
print(" (Reduces from 4 to 2 layout workers to reduce queue pressure)")
print("\n2. CONSERVATIVE FIX (single layout worker):")
print(" python cli.py --all --hybrid --split-simple --refinement-mode \\")
print(" --inlier-threshold 0.15 --inlier-ratio-threshold 0.2 \\")
print(" --fallback-one-at-a-time --enable-cost-tracking --cost-report \\")
print(" --parallel-layouts --layout-workers 1")
print(" (Essentially sequential with queue coordination)")
print("\n3. OPTIMAL FIX (disable parallel layouts for now):")
print(" python cli.py --all --hybrid --split-simple --refinement-mode \\")
print(" --inlier-threshold 0.15 --inlier-ratio-threshold 0.2 \\")
print(" --fallback-one-at-a-time --enable-cost-tracking --cost-report")
print(" (Use original sequential processing - more reliable)")
print("\n💡 TECHNICAL EXPLANATIONS:")
print("- The 72.7% swap usage is not necessarily bad if system is responsive")
print("- Inlier analysis is CPU/memory intensive and benefits from being serial")
print("- Queue bottleneck occurs when producers (layout workers) > consumers (1 inlier worker)")
print("- Each split analysis can take 60-167s, making parallelism counterproductive")
print("\n⚙️ LONG-TERM IMPROVEMENTS IMPLEMENTED:")
print("- More lenient memory pressure thresholds")
print("- Queue pressure detection and automatic worker reduction")
print("- Stall detection with timeout handling")
print("- Better progress monitoring and diagnostics")
print("\n🎯 RECOMMENDATION:")
print("For your current dataset, use option 1 (2 layout workers) or option 3 (sequential).")
print("The parallel implementation works but needs tuning for your specific workload.")
print("\n" + "=" * 50)
if __name__ == "__main__":
main()