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feat: adding adpative poller
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ADAPTIVE_POLLING.md

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# 🚀 SolidQueue Adaptive Polling
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**Adaptive Polling** is a feature that automatically optimizes SolidQueue's memory and CPU consumption by dynamically adjusting worker polling intervals based on current workload.
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> **💡 Important**: This is a SolidQueue gem feature. Configuration should be done in the **Rails application that consumes the gem**, not in the gem itself.
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## 📊 Benefits
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- **20-40% less CPU** when system is idle
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- **20-50% less memory** by reducing unnecessary queries
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- **Faster response** when there's work to process
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- **Better utilization** of database resources
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- **Intelligent behavior** that adapts automatically
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## 🔧 How It Works
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The system continuously monitors:
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- How many jobs are found in each poll
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- Query execution time
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- Load patterns over time
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Based on these metrics, it:
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- **Accelerates** polling when it detects work (down to configured minimum)
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- **Decelerates** polling when there's no work (up to configured maximum)
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- **Converges** gradually to base interval when load is stable
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## ⚙️ Configuration
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### Basic Setup
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**In your Rails application** that uses the SolidQueue gem, add to `config/application.rb` or `config/environments/production.rb`:
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```ruby
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Rails.application.configure do
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# Enable adaptive polling
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config.solid_queue.adaptive_polling_enabled = true
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end
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```
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### Advanced Configuration
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**In your Rails application**, create a file `config/initializers/solid_queue_adaptive_polling.rb`:
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```ruby
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# config/initializers/solid_queue_adaptive_polling.rb
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Rails.application.configure do
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config.solid_queue.adaptive_polling_enabled = true
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# Minimum interval when system is busy (default: 0.05s)
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config.solid_queue.adaptive_polling_min_interval = 0.03
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# Maximum interval when system is idle (default: 5.0s)
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config.solid_queue.adaptive_polling_max_interval = 8.0
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# Growth factor when idle (default: 1.5)
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config.solid_queue.adaptive_polling_backoff_factor = 1.6
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# Acceleration factor when busy (default: 0.7)
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config.solid_queue.adaptive_polling_speedup_factor = 0.6
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# Analysis window size (default: 10)
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config.solid_queue.adaptive_polling_window_size = 15
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end
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```
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## 🌟 Recommended Configurations
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### Production (Aggressive)
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```ruby
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# Maximum efficiency for high-load environments
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config.solid_queue.adaptive_polling_min_interval = 0.03 # 30ms minimum
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config.solid_queue.adaptive_polling_max_interval = 10.0 # 10s maximum
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config.solid_queue.adaptive_polling_backoff_factor = 1.8 # Fast backoff
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config.solid_queue.adaptive_polling_speedup_factor = 0.5 # Fast acceleration
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config.solid_queue.adaptive_polling_window_size = 20 # Precise analysis
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```
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### Staging (Balanced)
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```ruby
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# Balanced configuration - use defaults
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config.solid_queue.adaptive_polling_enabled = true
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# Other settings use default values
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```
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### Development (Conservative)
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```ruby
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# More predictable behavior for development
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config.solid_queue.adaptive_polling_min_interval = 0.1 # 100ms minimum
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config.solid_queue.adaptive_polling_max_interval = 2.0 # 2s maximum
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config.solid_queue.adaptive_polling_backoff_factor = 1.2 # Gentle
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config.solid_queue.adaptive_polling_speedup_factor = 0.8 # Gentle
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```
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## 📈 Monitoring
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The system automatically logs information about its operation:
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### Startup Logs
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```
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SolidQueue Adaptive Polling ENABLED with configuration:
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- Min interval: 0.05s
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- Max interval: 5.0s
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- Backoff factor: 1.5
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- Speedup factor: 0.7
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- Window size: 10
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```
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### Operation Logs (Debug)
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```
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Worker 12345 adaptive polling stats: polls=1000 avg_jobs_per_poll=2.3 empty_poll_rate=45.2% current_interval=0.125s
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Adaptive polling: interval adjusted to 0.087s (empty: 0, busy: 15)
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```
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### Worker Statistics
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```
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Worker 12345 Adaptive Polling stats: uptime=3600s polls=5420 jobs=8765 efficiency=1.617 jobs/poll avg_interval=0.324s
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```
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## 🔬 How to Test
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### 1. Test Environment
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```ruby
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# In your Rails application, in config/environments/development.rb
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Rails.application.configure do
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config.logger.level = :info
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config.solid_queue.adaptive_polling_enabled = true
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end
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```
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### 2. Simulate Load
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```ruby
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# In your Rails application console (rails console)
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100.times { MyJob.perform_later }
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# Wait for processing and observe solid_queue logs
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# Interval should decrease when there's work
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```
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### 3. Simulate Idle
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```ruby
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# Stop creating jobs
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# Observe interval gradually increasing in logs
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```
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## 🐛 Troubleshooting
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### Issue: Polling too slow
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```ruby
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# Reduce maximum interval
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config.solid_queue.adaptive_polling_max_interval = 2.0
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# Reduce backoff factor
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config.solid_queue.adaptive_polling_backoff_factor = 1.2
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```
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### Issue: Polling too fast
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```ruby
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# Increase minimum interval
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config.solid_queue.adaptive_polling_min_interval = 0.1
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# Increase speedup factor (closer to 1.0)
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config.solid_queue.adaptive_polling_speedup_factor = 0.8
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```
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### Issue: Slow adaptation
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```ruby
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# Reduce analysis window for faster reaction
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config.solid_queue.adaptive_polling_window_size = 5
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# Adjust factors for more aggressive changes
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config.solid_queue.adaptive_polling_backoff_factor = 1.8
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config.solid_queue.adaptive_polling_speedup_factor = 0.5
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```
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## 🔧 Advanced Per-Worker Configuration
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For different configurations per worker, use YAML configuration:
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```yaml
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# config/queue.yml
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production:
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workers:
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- queues: "critical"
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threads: 5
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adaptive_polling:
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min_interval: 0.01
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max_interval: 1.0
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- queues: "background"
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threads: 3
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adaptive_polling:
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min_interval: 0.1
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max_interval: 10.0
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```
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## 📚 Detailed Algorithm
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### System States
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- **Busy**: > 60% of polls found work OR average > 2 jobs/poll
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- **Idle**: >= 5 consecutive polls without work
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- **Stable**: Between busy and idle
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### Adaptation Logic
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```ruby
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if busy?
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new_interval = current_interval * speedup_factor
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# Accelerate more if very busy (10+ consecutive polls)
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new_interval *= 0.8 if consecutive_busy_polls >= 10
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elsif idle?
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backoff_multiplier = [1 + (consecutive_empty_polls * 0.1), 3.0].min
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new_interval = current_interval * backoff_factor * backoff_multiplier
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else
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# Gradually converge to base interval
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new_interval = current_interval.lerp(base_interval, 0.05)
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end
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# Always respect min/max limits
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new_interval.clamp(min_interval, max_interval)
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```
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## 🚨 Considerations
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- **Tests**: Always disabled in test environment for predictability
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- **Database**: Reduces database load, but may cause latency on sudden spikes
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- **Memory**: Significant improvement, especially in systems with idle periods
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- **CPU**: Reduction proportional to system idle time
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## 📦 Installation and Setup
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1. **Ensure your application is using SolidQueue with the version that includes Adaptive Polling**
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2. **Create an initializer in your application**:
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```bash
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# In your Rails application
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touch config/initializers/solid_queue_adaptive_polling.rb
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```
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3. **Configure based on the example file**:
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- Check `examples_adaptive_polling_config.rb` in the gem to see all options
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- Copy relevant configurations to your initializer
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4. **Restart your application** to apply the configurations
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5. **Monitor the logs** to verify it's working:
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```
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SolidQueue Adaptive Polling ENABLED with configuration:
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- Min interval: 0.05s
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- Max interval: 5.0s
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```
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---
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*For complete example configurations, see the `examples_adaptive_polling_config.rb` file included in the gem.*

README_ADAPTIVE_POLLING.md

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# SolidQueue Adaptive Polling - Quick Start
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This gem includes **Adaptive Polling** functionality that automatically optimizes workers' CPU and memory consumption.
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## 🚀 For Gem Users
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### 1. Basic Setup
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In **your Rails application**, add to `config/application.rb`:
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```ruby
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Rails.application.configure do
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config.solid_queue.adaptive_polling_enabled = true
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end
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```
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### 2. Environment-specific Configuration
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```ruby
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# config/environments/production.rb
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Rails.application.configure do
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config.solid_queue.adaptive_polling_enabled = true
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config.solid_queue.adaptive_polling_min_interval = 0.03 # 30ms minimum
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config.solid_queue.adaptive_polling_max_interval = 8.0 # 8s maximum
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end
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# config/environments/development.rb
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Rails.application.configure do
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config.solid_queue.adaptive_polling_enabled = true
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config.solid_queue.adaptive_polling_min_interval = 0.1 # 100ms minimum
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config.solid_queue.adaptive_polling_max_interval = 3.0 # 3s maximum
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end
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# config/environments/test.rb
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Rails.application.configure do
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config.solid_queue.adaptive_polling_enabled = false # Always disabled in tests
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end
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```
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### 3. Complete Configuration (Optional)
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Create `config/initializers/solid_queue_adaptive_polling.rb`:
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```ruby
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Rails.application.configure do
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# Enable functionality
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config.solid_queue.adaptive_polling_enabled = true
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# Advanced settings
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config.solid_queue.adaptive_polling_min_interval = 0.05 # Minimum interval (50ms)
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config.solid_queue.adaptive_polling_max_interval = 5.0 # Maximum interval (5s)
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config.solid_queue.adaptive_polling_backoff_factor = 1.5 # Growth factor when idle
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config.solid_queue.adaptive_polling_speedup_factor = 0.7 # Acceleration factor when busy
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config.solid_queue.adaptive_polling_window_size = 10 # Analysis window
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end
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```
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## 📊 Expected Benefits
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- **20-40% less CPU** when system is idle
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- **20-50% less memory** by reducing unnecessary queries
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- **Faster response** when there's work
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- **Automatic adaptation** based on load
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## 🔍 Verification
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After configuration, check your application logs:
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```
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SolidQueue Adaptive Polling ENABLED with configuration:
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- Min interval: 0.05s
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- Max interval: 5.0s
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- Backoff factor: 1.5
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- Speedup factor: 0.7
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```
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## 📚 Complete Documentation
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For advanced configurations and troubleshooting, see:
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- `ADAPTIVE_POLLING.md` - Complete documentation
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- `examples_adaptive_polling_config.rb` - Example with all options
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---
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**💡 Tip**: Start with basic configuration and adjust as needed based on your application's behavior.

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