mirror of
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Krzysztof kuhy Rudnicki
84632cef34
- Move 7 loose top-level Markdown reports under docs/cleanup-2026-05/. - Relocate batch3_bloatware_uninstall.sh into phone_focus_mode/ where its ADB/phone wiring belongs. - Delete tracked out.json (empty puzzle_solver fixture). - Remove untracked clutter (mp4/wav/lcov/log/txt) from the working tree.
65 lines
1.7 KiB
Markdown
65 lines
1.7 KiB
Markdown
# Quick Start: Polling Script Optimization
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## What Was Fixed
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Your system was consuming **728,465 CPU-seconds** (202 hours) just on the `date` command in a 5-hour window. This is a classic fork-storm anti-pattern from polling scripts.
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## Changes Made (3 files updated)
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### 1. network_monitor.sh ✅
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- Replaced `date +%s` fork with `/proc/uptime` read (zero-fork)
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- **Saves**: 1 fork per polling cycle (~60-120ms per invocation)
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### 2. i3blocks config ✅
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- Battery interval: `1s` → `5s` (80% fewer checks)
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- **Saves**: ~240 forks/min = 12 CPU-seconds/min
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### 3. music_parallelism.sh ✅
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- Adaptive polling: 0.5s when active, 3s when idle
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- **Saves**: 83% fork reduction when system is idle
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## New Tools Available
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```bash
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cd /home/kuhy/testsAndMisc
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# Diagnose inefficient scripts in your codebase
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./run.sh --diagnose
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# Profile system for 60 seconds to catch fork-storms
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./run.sh --profile 60
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# Generate today's usage report
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./run.sh
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```
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## Expected Impact
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- **Estimated daily savings**: 1-2 CPU-hours/day
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- **Fork reduction**: 83% when idle (from 2/sec to 0.33/sec)
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- **Responsiveness**: Improved (fewer context switches)
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## Verification
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```bash
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# Confirm changes applied:
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grep -c "/proc/uptime" linux_configuration/i3-configuration/i3blocks/network_monitor.sh
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grep "interval=5" linux_configuration/i3-configuration/i3blocks/config | grep battery
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grep "sleep 3" linux_configuration/scripts/digital_wellbeing/music_parallelism.sh
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```
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## Next Steps
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After ~5 hours of normal system usage, run:
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```bash
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./run.sh --top 20
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```
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Compare against the original report—you should see the `date` command no longer in the top CPU consumers.
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See **POLLING_OPTIMIZATION_REPORT.md** for detailed analysis and further optimization recommendations.
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