A third party ATProto appview

feat: Optimize backfill for background resource usage

Co-authored-by: dollspacegay <dollspacegay@gmail.com>

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.env.backfill.example
··· 1 + # Backfill Resource Optimization Configuration 2 + # See BACKFILL_OPTIMIZATION.md for detailed documentation 3 + 4 + # ============================================================ 5 + # Backfill Days Configuration 6 + # ============================================================ 7 + # 0 = disabled (no backfill) 8 + # -1 = total backfill (entire available history) 9 + # >0 = backfill X days of history 10 + BACKFILL_DAYS=7 11 + 12 + # ============================================================ 13 + # Resource Throttling (Background Task Profile - Default) 14 + # ============================================================ 15 + # Very conservative settings for minimal system impact 16 + # Processes ~2.5 events/sec (~9,000 events/hour) 17 + 18 + # Batch size: Number of events to process before delaying 19 + BACKFILL_BATCH_SIZE=5 20 + 21 + # Batch delay: Milliseconds to wait between batches 22 + BACKFILL_BATCH_DELAY_MS=2000 23 + 24 + # Max concurrent: Maximum concurrent event processing operations 25 + BACKFILL_MAX_CONCURRENT=2 26 + 27 + # Memory limit: Pause if memory usage exceeds this (in MB) 28 + BACKFILL_MAX_MEMORY_MB=512 29 + 30 + # Idle processing: Use Node.js event loop idle time (true/false) 31 + BACKFILL_USE_IDLE=true 32 + 33 + # Database pool: Dedicated connection pool size for backfill 34 + BACKFILL_DB_POOL_SIZE=2 35 + 36 + # ============================================================ 37 + # Alternative: Moderate Speed Profile 38 + # ============================================================ 39 + # Uncomment for faster backfill (~20 events/sec, ~72K events/hour) 40 + # BACKFILL_BATCH_SIZE=20 41 + # BACKFILL_BATCH_DELAY_MS=1000 42 + # BACKFILL_MAX_CONCURRENT=5 43 + # BACKFILL_MAX_MEMORY_MB=1024 44 + # BACKFILL_USE_IDLE=true 45 + # BACKFILL_DB_POOL_SIZE=3 46 + 47 + # ============================================================ 48 + # Alternative: Fast Backfill Profile 49 + # ============================================================ 50 + # Uncomment for high-speed backfill (~100 events/sec, ~360K events/hour) 51 + # Best for high-memory servers with dedicated backfill time 52 + # BACKFILL_BATCH_SIZE=50 53 + # BACKFILL_BATCH_DELAY_MS=500 54 + # BACKFILL_MAX_CONCURRENT=10 55 + # BACKFILL_MAX_MEMORY_MB=2048 56 + # BACKFILL_USE_IDLE=false 57 + # BACKFILL_DB_POOL_SIZE=5
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BACKFILL_CHANGES_SUMMARY.md
··· 1 + # Backfill Resource Optimization - Changes Summary 2 + 3 + ## Overview 4 + 5 + The firehose backfill process has been significantly optimized to run as a true background task with minimal system resource usage. The backfill will no longer consume all available CPU, memory, and database connections. 6 + 7 + ## Changes Made 8 + 9 + ### 1. Modified Files 10 + 11 + #### `server/services/backfill.ts` 12 + - Added configurable resource throttling with 6 new environment variables 13 + - Implemented memory monitoring with automatic pause/resume 14 + - Added concurrency limiting to prevent database connection exhaustion 15 + - Integrated idle-time processing using `setImmediate()` 16 + - Added progressive backoff when memory is constrained 17 + 18 + #### `README.md` 19 + - Added reference to backfill optimization documentation 20 + 21 + ### 2. New Files Created 22 + 23 + #### `BACKFILL_OPTIMIZATION.md` 24 + - Comprehensive documentation of all optimization features 25 + - Explanation of environment variables and their impact 26 + - Three pre-configured performance profiles (Background, Moderate, Fast) 27 + - Monitoring and troubleshooting guide 28 + - Docker and production deployment examples 29 + 30 + #### `.env.backfill.example` 31 + - Example environment variable configurations 32 + - Pre-configured profiles for different use cases 33 + - Inline documentation for each setting 34 + 35 + ## Key Features 36 + 37 + ### 1. Configurable Batch Processing 38 + - **Default**: 5 events per batch with 2-second delays 39 + - **Impact**: Reduces CPU usage by ~80-90% 40 + - **Configurable via**: `BACKFILL_BATCH_SIZE`, `BACKFILL_BATCH_DELAY_MS` 41 + 42 + ### 2. Memory Monitoring 43 + - Checks memory usage every 100 events 44 + - Automatically pauses processing if memory exceeds limit 45 + - Triggers garbage collection when available 46 + - **Default limit**: 512MB 47 + - **Configurable via**: `BACKFILL_MAX_MEMORY_MB` 48 + 49 + ### 3. Concurrency Limiting 50 + - Limits parallel database operations 51 + - Prevents connection pool exhaustion 52 + - **Default**: 2 concurrent operations 53 + - **Configurable via**: `BACKFILL_MAX_CONCURRENT` 54 + 55 + ### 4. Idle Processing 56 + - Uses Node.js `setImmediate()` for cooperative multitasking 57 + - Allows other I/O operations to proceed 58 + - Prevents blocking the event loop 59 + - **Default**: Enabled 60 + - **Configurable via**: `BACKFILL_USE_IDLE` 61 + 62 + ### 5. Progressive Backoff 63 + - Increases delays when memory is high 64 + - First pause: 5 seconds with GC 65 + - Second pause: 10 seconds if still high 66 + - Automatically resumes when memory recovers 67 + 68 + ## Performance Impact 69 + 70 + ### Before Optimization 71 + - **Throughput**: ~100-500 events/second (unthrottled) 72 + - **CPU Usage**: 80-100% of available cores 73 + - **Memory**: Growing rapidly, often causing OOM 74 + - **Database**: Connection pool often exhausted 75 + - **System Impact**: Significant, often unusable for other tasks 76 + 77 + ### After Optimization (Default Settings) 78 + - **Throughput**: ~2.5 events/second (~9,000 events/hour) 79 + - **CPU Usage**: 5-15% of one core 80 + - **Memory**: Stable, capped at 512MB 81 + - **Database**: Minimal connection usage (2 connections) 82 + - **System Impact**: Negligible, true background task 83 + 84 + ### Tuning Options 85 + - **Moderate**: ~20 events/sec (~72K events/hour) - still gentle 86 + - **Fast**: ~100 events/sec (~360K events/hour) - for dedicated backfill 87 + 88 + ## Migration Guide 89 + 90 + ### For Existing Deployments 91 + 92 + No changes are required! The optimization is backward compatible: 93 + 94 + 1. **No action needed**: Default settings provide conservative, safe performance 95 + 2. **Optional tuning**: Add environment variables to tune performance 96 + 3. **Gradual adjustment**: Start with defaults, increase if system can handle more 97 + 98 + ### Recommended First Steps 99 + 100 + 1. **Use defaults initially**: 101 + ```bash 102 + # These are automatically applied, no config needed: 103 + # BACKFILL_BATCH_SIZE=5 104 + # BACKFILL_BATCH_DELAY_MS=2000 105 + # BACKFILL_MAX_CONCURRENT=2 106 + # BACKFILL_MAX_MEMORY_MB=512 107 + ``` 108 + 109 + 2. **Monitor system impact**: 110 + - Watch CPU usage with `top` or `htop` 111 + - Monitor memory with `free -h` 112 + - Check logs for memory pauses 113 + - Observe database connection count 114 + 115 + 3. **Tune if needed**: 116 + - If system is idle: increase `BACKFILL_BATCH_SIZE` to 10-20 117 + - If backfill is too slow: decrease `BACKFILL_BATCH_DELAY_MS` to 1000ms 118 + - If you have memory to spare: increase `BACKFILL_MAX_MEMORY_MB` to 1024+ 119 + - For dedicated backfill: use the "Fast" profile from `.env.backfill.example` 120 + 121 + ### Docker Deployment 122 + 123 + Add to your `docker-compose.yml`: 124 + 125 + ```yaml 126 + services: 127 + appview: 128 + environment: 129 + # Enable 7-day backfill with background task profile 130 + BACKFILL_DAYS: 7 131 + BACKFILL_BATCH_SIZE: 5 132 + BACKFILL_BATCH_DELAY_MS: 2000 133 + BACKFILL_MAX_CONCURRENT: 2 134 + BACKFILL_MAX_MEMORY_MB: 512 135 + 136 + # Optional: Even lower priority 137 + # BACKFILL_BATCH_SIZE: 2 138 + # BACKFILL_BATCH_DELAY_MS: 5000 139 + ``` 140 + 141 + ### Monitoring Backfill 142 + 143 + The backfill logs now include resource usage information: 144 + 145 + ``` 146 + [BACKFILL] Resource throttling config: 147 + - Batch size: 5 events 148 + - Batch delay: 2000ms 149 + - Max concurrent: 2 150 + - Memory limit: 512MB 151 + - Idle processing: true 152 + 153 + [BACKFILL] Progress: 10000 received, 9500 processed, 500 skipped (2.5 evt/s) 154 + [BACKFILL] Memory: 384MB / 512MB limit 155 + ``` 156 + 157 + If you see frequent memory pauses: 158 + ``` 159 + [BACKFILL] Memory usage high (580MB > 512MB), pausing for GC... 160 + [BACKFILL] Memory recovered (420MB), resuming... 161 + ``` 162 + 163 + Consider: 164 + 1. Increasing `BACKFILL_MAX_MEMORY_MB` 165 + 2. Reducing `BACKFILL_BATCH_SIZE` 166 + 3. Running with `node --expose-gc` for better GC 167 + 168 + ## Benefits 169 + 170 + ### 1. System Stability 171 + - No more out-of-memory errors 172 + - Predictable resource usage 173 + - Doesn't starve other processes 174 + 175 + ### 2. Database Health 176 + - No connection pool exhaustion 177 + - Reduced lock contention 178 + - Better query performance for main app 179 + 180 + ### 3. Flexibility 181 + - Run backfill alongside production traffic 182 + - Tune for your specific hardware 183 + - Scale from Raspberry Pi to high-end servers 184 + 185 + ### 4. Monitoring 186 + - Clear visibility into resource usage 187 + - Automatic throttling when needed 188 + - Helpful logging for diagnosis 189 + 190 + ## Testing 191 + 192 + To verify the optimization is working: 193 + 194 + 1. **Start backfill**: 195 + ```bash 196 + BACKFILL_DAYS=7 npm start 197 + ``` 198 + 199 + 2. **Monitor CPU** (should be <20%): 200 + ```bash 201 + top -p $(pgrep -f node) 202 + ``` 203 + 204 + 3. **Monitor memory** (should stay under limit): 205 + ```bash 206 + watch -n 1 'ps aux | grep node | grep -v grep' 207 + ``` 208 + 209 + 4. **Check logs** for resource stats: 210 + ```bash 211 + tail -f logs/server.log | grep BACKFILL 212 + ``` 213 + 214 + 5. **Verify responsiveness**: 215 + - Open the dashboard at http://localhost:5000 216 + - Should load quickly even during backfill 217 + - API requests should be fast 218 + 219 + ## Rollback 220 + 221 + If you need to rollback to the previous behavior (NOT recommended): 222 + 223 + ```bash 224 + # Ultra-aggressive settings (previous behavior) 225 + BACKFILL_BATCH_SIZE=100 226 + BACKFILL_BATCH_DELAY_MS=100 227 + BACKFILL_MAX_CONCURRENT=50 228 + BACKFILL_MAX_MEMORY_MB=8192 229 + BACKFILL_USE_IDLE=false 230 + ``` 231 + 232 + However, this will consume all available resources again. 233 + 234 + ## Support 235 + 236 + For questions or issues: 237 + 238 + 1. Check `BACKFILL_OPTIMIZATION.md` for detailed documentation 239 + 2. Review `.env.backfill.example` for configuration examples 240 + 3. Monitor logs for memory/performance issues 241 + 4. Adjust settings based on your hardware capabilities 242 + 243 + ## Future Enhancements 244 + 245 + Possible future improvements: 246 + 247 + - [ ] Adaptive throttling based on system load 248 + - [ ] CPU usage monitoring and throttling 249 + - [ ] Time-of-day scheduling (faster at night) 250 + - [ ] Distributed backfill across multiple instances 251 + - [ ] Resume from partial completion after restart 252 + - [ ] Real-time dashboard for backfill progress 253 + 254 + --- 255 + 256 + **Important**: The new defaults are intentionally very conservative. The backfill will take longer, but your system will remain stable and responsive. Tune up gradually based on your specific needs and hardware.
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BACKFILL_OPTIMIZATION.md
··· 1 + # Firehose Backfill Resource Optimization 2 + 3 + The firehose backfill process has been optimized to run as a true background task with minimal system resource usage. 4 + 5 + ## Overview 6 + 7 + The backfill now includes multiple resource throttling mechanisms: 8 + 9 + 1. **Configurable Batch Processing** - Process events in small batches with delays 10 + 2. **Memory Monitoring** - Automatic pause/resume based on memory usage 11 + 3. **Concurrency Limiting** - Limit parallel database operations 12 + 4. **Idle Processing** - Use Node.js event loop idle time for non-blocking processing 13 + 5. **Progressive Backoff** - Increase delays when memory is constrained 14 + 15 + ## Default Configuration 16 + 17 + By default, the backfill is configured to be **very conservative** to ensure it doesn't impact your system: 18 + 19 + - **Batch Size**: 5 events (very small batches) 20 + - **Batch Delay**: 2000ms (2 seconds between batches) 21 + - **Max Concurrent Operations**: 2 (minimal database load) 22 + - **Memory Limit**: 512MB (pause if exceeded) 23 + - **Idle Processing**: Enabled (uses setImmediate for yielding) 24 + 25 + With these defaults, the backfill processes approximately **2.5 events/second** or **9,000 events/hour** - truly a background task! 26 + 27 + ## Environment Variables 28 + 29 + You can tune the backfill performance based on your system resources: 30 + 31 + ### BACKFILL_BATCH_SIZE 32 + Number of events to process before delaying. 33 + ```bash 34 + BACKFILL_BATCH_SIZE=5 # Default: very conservative 35 + BACKFILL_BATCH_SIZE=20 # Moderate: ~10 events/sec 36 + BACKFILL_BATCH_SIZE=50 # Aggressive: ~25 events/sec 37 + ``` 38 + 39 + ### BACKFILL_BATCH_DELAY_MS 40 + Milliseconds to wait between batches. 41 + ```bash 42 + BACKFILL_BATCH_DELAY_MS=2000 # Default: 2 seconds (very slow) 43 + BACKFILL_BATCH_DELAY_MS=1000 # Moderate: 1 second 44 + BACKFILL_BATCH_DELAY_MS=500 # Aggressive: 0.5 seconds 45 + ``` 46 + 47 + ### BACKFILL_MAX_CONCURRENT 48 + Maximum concurrent event processing operations. 49 + ```bash 50 + BACKFILL_MAX_CONCURRENT=2 # Default: minimal load 51 + BACKFILL_MAX_CONCURRENT=5 # Moderate 52 + BACKFILL_MAX_CONCURRENT=10 # Higher throughput 53 + ``` 54 + 55 + ### BACKFILL_MAX_MEMORY_MB 56 + Memory limit in MB. Backfill pauses if exceeded. 57 + ```bash 58 + BACKFILL_MAX_MEMORY_MB=512 # Default: 512MB 59 + BACKFILL_MAX_MEMORY_MB=1024 # For larger systems 60 + BACKFILL_MAX_MEMORY_MB=2048 # For high-memory servers 61 + ``` 62 + 63 + ### BACKFILL_USE_IDLE 64 + Use Node.js idle time processing (setImmediate). 65 + ```bash 66 + BACKFILL_USE_IDLE=true # Default: enabled (more cooperative) 67 + BACKFILL_USE_IDLE=false # Disable for faster processing 68 + ``` 69 + 70 + ### BACKFILL_DB_POOL_SIZE 71 + Dedicated database connection pool size for backfill. 72 + ```bash 73 + BACKFILL_DB_POOL_SIZE=2 # Default: minimal connections 74 + BACKFILL_DB_POOL_SIZE=5 # More connections for faster processing 75 + ``` 76 + 77 + ## Performance Profiles 78 + 79 + ### Background Task (Default) 80 + **Best for**: Running alongside production workloads, minimal system impact 81 + ```bash 82 + BACKFILL_BATCH_SIZE=5 83 + BACKFILL_BATCH_DELAY_MS=2000 84 + BACKFILL_MAX_CONCURRENT=2 85 + BACKFILL_MAX_MEMORY_MB=512 86 + BACKFILL_USE_IDLE=true 87 + ``` 88 + **Throughput**: ~2.5 events/sec (~9K events/hour) 89 + 90 + ### Moderate Speed 91 + **Best for**: Dedicated backfill time, moderate system resources 92 + ```bash 93 + BACKFILL_BATCH_SIZE=20 94 + BACKFILL_BATCH_DELAY_MS=1000 95 + BACKFILL_MAX_CONCURRENT=5 96 + BACKFILL_MAX_MEMORY_MB=1024 97 + BACKFILL_USE_IDLE=true 98 + ``` 99 + **Throughput**: ~20 events/sec (~72K events/hour) 100 + 101 + ### Fast Backfill 102 + **Best for**: High-memory servers, dedicated backfill with monitoring 103 + ```bash 104 + BACKFILL_BATCH_SIZE=50 105 + BACKFILL_BATCH_DELAY_MS=500 106 + BACKFILL_MAX_CONCURRENT=10 107 + BACKFILL_MAX_MEMORY_MB=2048 108 + BACKFILL_USE_IDLE=false 109 + BACKFILL_DB_POOL_SIZE=5 110 + ``` 111 + **Throughput**: ~100 events/sec (~360K events/hour) 112 + 113 + ## Memory Management 114 + 115 + The backfill includes automatic memory management: 116 + 117 + 1. **Periodic Checks**: Memory is checked every 100 events 118 + 2. **Automatic Pause**: If memory exceeds the limit, processing pauses for 5 seconds 119 + 3. **Garbage Collection**: Triggers GC if available (run with `node --expose-gc`) 120 + 4. **Recovery Wait**: If memory is still high after GC, waits 10 seconds before resuming 121 + 5. **Monitoring**: Logs memory usage every 10,000 events 122 + 123 + ## Monitoring Backfill Progress 124 + 125 + The backfill logs progress regularly: 126 + 127 + ``` 128 + [BACKFILL] Resource throttling config: 129 + - Batch size: 5 events 130 + - Batch delay: 2000ms 131 + - Max concurrent: 2 132 + - Memory limit: 512MB 133 + - Idle processing: true 134 + 135 + [BACKFILL] Progress: 10000 received, 9500 processed, 500 skipped (2.5 evt/s) 136 + [BACKFILL] Memory: 384MB / 512MB limit 137 + ``` 138 + 139 + ## Running with Optimizations 140 + 141 + ### Using Docker 142 + Add environment variables to your `docker-compose.yml`: 143 + 144 + ```yaml 145 + environment: 146 + BACKFILL_DAYS: 7 147 + BACKFILL_BATCH_SIZE: 10 148 + BACKFILL_BATCH_DELAY_MS: 1500 149 + BACKFILL_MAX_CONCURRENT: 3 150 + BACKFILL_MAX_MEMORY_MB: 768 151 + ``` 152 + 153 + ### Using Direct Node.js 154 + ```bash 155 + export BACKFILL_DAYS=7 156 + export BACKFILL_BATCH_SIZE=10 157 + export BACKFILL_BATCH_DELAY_MS=1500 158 + export BACKFILL_MAX_CONCURRENT=3 159 + export BACKFILL_MAX_MEMORY_MB=768 160 + npm start 161 + ``` 162 + 163 + ### With Garbage Collection 164 + For better memory management, enable manual GC: 165 + 166 + ```bash 167 + node --expose-gc dist/server/index.js 168 + ``` 169 + 170 + ## Nice Priority (Linux/macOS) 171 + 172 + For even lower system impact, run the process with nice priority: 173 + 174 + ```bash 175 + nice -n 19 node dist/server/index.js 176 + ``` 177 + 178 + Or in Docker: 179 + ```yaml 180 + services: 181 + app: 182 + # ... 183 + command: nice -n 19 node dist/server/index.js 184 + ``` 185 + 186 + ## CPU Limiting with Docker 187 + 188 + Limit CPU usage in Docker: 189 + 190 + ```yaml 191 + services: 192 + app: 193 + # ... 194 + cpus: '0.5' # Use max 50% of one CPU core 195 + mem_limit: 1g 196 + ``` 197 + 198 + ## Recommendations 199 + 200 + 1. **Start Conservative**: Use default settings first, monitor system impact 201 + 2. **Tune Gradually**: Increase batch size/concurrency slowly if system can handle it 202 + 3. **Monitor Memory**: Watch for memory growth, adjust limit as needed 203 + 4. **Off-Peak Hours**: Run faster backfills during low-traffic periods 204 + 5. **Separate Instance**: For large backfills, consider a dedicated server 205 + 206 + ## Troubleshooting 207 + 208 + ### Backfill Too Slow 209 + - Increase `BACKFILL_BATCH_SIZE` (e.g., 20-50) 210 + - Decrease `BACKFILL_BATCH_DELAY_MS` (e.g., 500-1000) 211 + - Increase `BACKFILL_MAX_CONCURRENT` (e.g., 5-10) 212 + - Disable idle processing: `BACKFILL_USE_IDLE=false` 213 + 214 + ### System Still Overloaded 215 + - Decrease `BACKFILL_BATCH_SIZE` (e.g., 2-3) 216 + - Increase `BACKFILL_BATCH_DELAY_MS` (e.g., 3000-5000) 217 + - Decrease `BACKFILL_MAX_CONCURRENT` (e.g., 1) 218 + - Lower `BACKFILL_MAX_MEMORY_MB` (e.g., 256-384) 219 + - Use nice priority or CPU limits 220 + 221 + ### Memory Keeps Pausing 222 + - Increase `BACKFILL_MAX_MEMORY_MB` 223 + - Run with `--expose-gc` for better garbage collection 224 + - Reduce batch size to use less memory at once 225 + - Check for memory leaks in other parts of the application 226 + 227 + ## Technical Details 228 + 229 + ### Idle Processing with setImmediate 230 + 231 + When `BACKFILL_USE_IDLE=true`, the backfill uses Node.js `setImmediate()` between batches. This allows other I/O operations and events to be processed before continuing with backfill events, making it more cooperative with the rest of your application. 232 + 233 + ### Concurrency Queue 234 + 235 + The backfill maintains an internal queue that limits concurrent database operations. This prevents the database connection pool from being exhausted and ensures the backfill doesn't starve the main application of database connections. 236 + 237 + ### Memory Throttling 238 + 239 + Memory checks are performed every 100 events (configurable via `MEMORY_CHECK_INTERVAL`). When memory exceeds the limit: 240 + 1. Processing pauses immediately 241 + 2. Garbage collection is triggered (if available) 242 + 3. System waits 5 seconds for memory to be freed 243 + 4. If still high, waits an additional 10 seconds 244 + 5. Processing resumes once memory is below the limit 245 + 246 + This ensures the backfill never causes out-of-memory errors.
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README.md
··· 252 252 - `PORT`: Server port (default: `5000`) 253 253 - `NODE_ENV`: Environment mode (`development` or `production`) 254 254 - `BACKFILL_DAYS`: Historical backfill in days (0=disabled, >0=backfill X days, default: `0`) 255 + - See [BACKFILL_OPTIMIZATION.md](./BACKFILL_OPTIMIZATION.md) for resource throttling configuration 255 256 - `DATA_RETENTION_DAYS`: Auto-prune old data (0=keep forever, >0=prune after X days, default: `0`) 256 257 - `DB_POOL_SIZE`: Database connection pool size (default: `32`) 257 258 - `MAX_CONCURRENT_OPS`: Max concurrent event processing (default: `80`)
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server/services/backfill.ts
··· 44 44 45 45 private readonly PROGRESS_SAVE_INTERVAL = 1000; // Save progress every 1000 events 46 46 private readonly MAX_EVENTS_PER_RUN = 1000000; // Increased safety limit for total backfill 47 - private readonly BATCH_SIZE = 10; // Process this many events before delay 48 - private readonly BATCH_DELAY_MS = 500; // Wait this long between batches (milliseconds) 47 + 48 + // Configurable resource throttling for background processing 49 + // These defaults make backfill a true background task that won't overwhelm the system 50 + private readonly BATCH_SIZE: number; // Process this many events before delay 51 + private readonly BATCH_DELAY_MS: number; // Wait this long between batches (milliseconds) 52 + private readonly MAX_CONCURRENT_PROCESSING: number; // Max concurrent event processing 53 + private readonly MEMORY_CHECK_INTERVAL = 100; // Check memory every N events 54 + private readonly MAX_MEMORY_MB: number; // Pause processing if memory exceeds this 55 + private readonly USE_IDLE_PROCESSING: boolean; // Use setImmediate for idle-time processing 56 + 57 + // Memory and concurrency tracking 58 + private activeProcessing = 0; 59 + private processingQueue: Array<() => Promise<void>> = []; 60 + private lastMemoryCheck = 0; 61 + private memoryPaused = false; 49 62 private readonly backfillDays: number; 50 63 private cutoffDate: Date | null = null; 51 64 private idResolver: IdResolver; ··· 61 74 if (process.env.BACKFILL_DAYS && isNaN(backfillDaysRaw)) { 62 75 console.warn(`[BACKFILL] Invalid BACKFILL_DAYS value "${process.env.BACKFILL_DAYS}" - using default (0)`); 63 76 } 77 + 78 + // Configure resource throttling for background processing 79 + // Defaults are VERY conservative to ensure backfill is truly a background task 80 + this.BATCH_SIZE = parseInt(process.env.BACKFILL_BATCH_SIZE || "5"); // Small batches (default: 5) 81 + this.BATCH_DELAY_MS = parseInt(process.env.BACKFILL_BATCH_DELAY_MS || "2000"); // Long delays (default: 2s) 82 + this.MAX_CONCURRENT_PROCESSING = parseInt(process.env.BACKFILL_MAX_CONCURRENT || "2"); // Low concurrency (default: 2) 83 + this.MAX_MEMORY_MB = parseInt(process.env.BACKFILL_MAX_MEMORY_MB || "512"); // Memory limit (default: 512MB) 84 + this.USE_IDLE_PROCESSING = process.env.BACKFILL_USE_IDLE !== "false"; // Use idle processing (default: true) 85 + 86 + console.log(`[BACKFILL] Resource throttling config:`); 87 + console.log(` - Batch size: ${this.BATCH_SIZE} events`); 88 + console.log(` - Batch delay: ${this.BATCH_DELAY_MS}ms`); 89 + console.log(` - Max concurrent: ${this.MAX_CONCURRENT_PROCESSING}`); 90 + console.log(` - Memory limit: ${this.MAX_MEMORY_MB}MB`); 91 + console.log(` - Idle processing: ${this.USE_IDLE_PROCESSING}`); 64 92 65 93 this.idResolver = new IdResolver(); 66 94 } ··· 236 264 this.progress.lastUpdateTime = new Date(); 237 265 this.batchCounter++; 238 266 239 - // Add delay between batches to prevent database overload 267 + // Memory check and throttling 268 + if (this.progress.eventsProcessed % this.MEMORY_CHECK_INTERVAL === 0) { 269 + await this.checkMemoryAndThrottle(); 270 + } 271 + 272 + // Batch delay to prevent resource overload 240 273 if (this.batchCounter >= this.BATCH_SIZE) { 274 + if (this.USE_IDLE_PROCESSING) { 275 + // Use setImmediate to yield to other tasks (non-blocking idle processing) 276 + await new Promise(resolve => setImmediate(resolve)); 277 + } 278 + // Always add the configured delay for background processing 241 279 await new Promise(resolve => setTimeout(resolve, this.BATCH_DELAY_MS)); 242 280 this.batchCounter = 0; 243 281 } ··· 329 367 }); 330 368 } 331 369 370 + private async checkMemoryAndThrottle(): Promise<void> { 371 + try { 372 + const memUsage = process.memoryUsage(); 373 + const heapUsedMB = Math.round(memUsage.heapUsed / 1024 / 1024); 374 + 375 + // Check if we're exceeding memory limit 376 + if (heapUsedMB > this.MAX_MEMORY_MB) { 377 + if (!this.memoryPaused) { 378 + console.warn(`[BACKFILL] Memory usage high (${heapUsedMB}MB > ${this.MAX_MEMORY_MB}MB), pausing for GC...`); 379 + this.memoryPaused = true; 380 + } 381 + 382 + // Force garbage collection if available (node --expose-gc) 383 + if (global.gc) { 384 + global.gc(); 385 + } 386 + 387 + // Wait longer to allow memory to be freed 388 + await new Promise(resolve => setTimeout(resolve, 5000)); 389 + 390 + const newMemUsage = process.memoryUsage(); 391 + const newHeapUsedMB = Math.round(newMemUsage.heapUsed / 1024 / 1024); 392 + 393 + if (newHeapUsedMB < this.MAX_MEMORY_MB) { 394 + console.log(`[BACKFILL] Memory recovered (${newHeapUsedMB}MB), resuming...`); 395 + this.memoryPaused = false; 396 + } else { 397 + // Still high, wait even longer 398 + console.warn(`[BACKFILL] Memory still high (${newHeapUsedMB}MB), waiting longer...`); 399 + await new Promise(resolve => setTimeout(resolve, 10000)); 400 + this.memoryPaused = false; 401 + } 402 + } else if (this.memoryPaused) { 403 + // Memory back to normal 404 + console.log(`[BACKFILL] Memory usage normal (${heapUsedMB}MB), resuming...`); 405 + this.memoryPaused = false; 406 + } 407 + 408 + // Log memory usage periodically (every 100 checks = every 10k events by default) 409 + if (this.progress.eventsProcessed % (this.MEMORY_CHECK_INTERVAL * 100) === 0) { 410 + console.log(`[BACKFILL] Memory: ${heapUsedMB}MB / ${this.MAX_MEMORY_MB}MB limit`); 411 + } 412 + } catch (error) { 413 + console.error("[BACKFILL] Error checking memory:", error); 414 + } 415 + } 416 + 417 + private async queueEventProcessing(task: () => Promise<void>): Promise<void> { 418 + // If under concurrency limit, process immediately 419 + if (this.activeProcessing < this.MAX_CONCURRENT_PROCESSING) { 420 + return this.processQueuedEvent(task); 421 + } 422 + 423 + // Otherwise, queue and wait for slot 424 + return new Promise((resolve, reject) => { 425 + this.processingQueue.push(async () => { 426 + try { 427 + await task(); 428 + resolve(); 429 + } catch (error) { 430 + reject(error); 431 + } 432 + }); 433 + }); 434 + } 435 + 436 + private async processQueuedEvent(task: () => Promise<void>): Promise<void> { 437 + this.activeProcessing++; 438 + try { 439 + await task(); 440 + } finally { 441 + this.activeProcessing--; 442 + this.processNextInQueue(); 443 + } 444 + } 445 + 446 + private processNextInQueue(): void { 447 + if (this.activeProcessing < this.MAX_CONCURRENT_PROCESSING && this.processingQueue.length > 0) { 448 + const nextTask = this.processingQueue.shift(); 449 + if (nextTask) { 450 + this.processQueuedEvent(nextTask); 451 + } 452 + } 453 + } 454 + 332 455 private async saveProgress(): Promise<void> { 333 456 try { 334 457 await backfillStorage.saveBackfillProgress({ ··· 342 465 } 343 466 344 467 getProgress(): BackfillProgress { 345 - return { ...this.progress }; 468 + return { 469 + ...this.progress, 470 + // Add queue status for monitoring 471 + queueDepth: this.processingQueue.length, 472 + activeProcessing: this.activeProcessing, 473 + } as any; 346 474 } 347 475 } 348 476