--- status: complete created: 2025-09-30 tags: [task-system] priority: medium --- # Task Reconciliation Improvements ## Overview This document describes the improvements made to task reconciliation in Crawlab to handle node disconnection scenarios more reliably by leveraging worker-side status caching. ## Problem Statement Previously, the task reconciliation system was heavily dependent on the master node to infer task status during disconnections using heuristics. This approach had several limitations: 1. **Fragile heuristics**: Status inference based on stream presence and timing could be incorrect 2. **Master node dependency**: Worker nodes couldn't maintain authoritative task status during disconnections 3. **Status inconsistency**: Risk of status mismatches between actual process state and database records 4. **Poor handling of long-running tasks**: Network issues could cause incorrect status assumptions ## Solution: Worker-Side Status Caching ### Key Components #### 1. TaskStatusSnapshot Structure ```go type TaskStatusSnapshot struct { TaskId primitive.ObjectID `json:"task_id"` Status string `json:"status"` Error string `json:"error,omitempty"` Pid int `json:"pid,omitempty"` Timestamp time.Time `json:"timestamp"` StartedAt *time.Time `json:"started_at,omitempty"` EndedAt *time.Time `json:"ended_at,omitempty"` } ``` #### 2. TaskStatusCache - **Local persistence**: Status cache survives worker node disconnections - **File-based storage**: Cached status persists across process restarts - **Automatic cleanup**: Cache files are cleaned up when tasks complete #### 3. Enhanced Runner (`runner_status_cache.go`) - **Status caching**: Every status change is cached locally first - **Pending updates**: Status changes queue for sync when reconnected - **Persistence layer**: Status cache is saved to disk asynchronously ### Workflow Improvements #### During Normal Operation 1. Task status changes are cached locally on worker nodes 2. Status is immediately sent to master node/database 3. If database update fails, status remains cached for later sync #### During Disconnection 1. Worker node continues tracking actual task/process status locally 2. Status changes accumulate in pending updates queue 3. Task continues running with authoritative local status #### During Reconnection 1. Worker triggers sync of all pending status updates 2. TaskReconciliationService prioritizes worker cache over heuristics 3. Database is updated with authoritative worker-side status ### Enhanced TaskReconciliationService #### Priority Order for Status Resolution 1. **Worker-side status cache** (highest priority) 2. **Direct process status query** 3. **Heuristic detection** (fallback only) #### New Methods - `getStatusFromWorkerCache()`: Retrieves cached status from worker - `triggerWorkerStatusSync()`: Triggers sync of pending updates - Enhanced `HandleNodeReconnection()`: Leverages worker cache ## Benefits ### 1. Improved Reliability - **Authoritative status**: Worker nodes maintain definitive task status - **Reduced guesswork**: Less reliance on potentially incorrect heuristics - **Better consistency**: Database reflects actual process state ### 2. Enhanced Resilience - **Disconnection tolerance**: Tasks continue with accurate status tracking - **Automatic recovery**: Status sync happens automatically on reconnection - **Data persistence**: Status cache survives process restarts ### 3. Better Performance - **Reduced master load**: Less dependency on master node for status inference - **Faster reconciliation**: Direct access to cached status vs. complex heuristics - **Fewer database inconsistencies**: More accurate status updates ## Implementation Details ### File Structure ``` core/task/handler/ ├── runner.go # Main task runner ├── runner_status_cache.go # Status caching functionality └── service_operations.go # Service methods for runner access core/node/service/ └── task_reconciliation_service.go # Enhanced reconciliation logic ``` ### Configuration - Cache directory: `{workspace}/.crawlab/task_cache/` - Cache file pattern: `task_{taskId}.json` - Sync trigger: Automatic on reconnection ### Error Handling - **Cache failures**: Logged but don't block task execution - **Sync failures**: Failed updates re-queued for retry - **Type mismatches**: Graceful fallback to heuristics ## Usage ### For Workers Status caching is automatic and transparent. No configuration required. ### For Master Nodes The reconciliation service automatically detects worker-side cache availability and uses it when possible. ### Monitoring - Log messages indicate when cached status is used - Failed sync attempts are logged with retry information - Cache cleanup is logged for debugging ## Future Enhancements 1. **Batch sync optimization**: Group multiple status updates for efficiency 2. **Compression**: Compress cache files for large deployments 3. **TTL support**: Automatic cache expiration for very old tasks 4. **Metrics**: Expose cache hit/miss rates for monitoring ## Migration This is a backward-compatible enhancement. Existing deployments will: 1. Gradually benefit from improved reconciliation 2. Fall back to existing heuristics when cache unavailable 3. Require no configuration changes