dtail - DTail is a distributed DevOps tool for tailing, grepping, catting logs and other text files on many remote machines at once.

Age	Commit message (Collapse)	Author
2026-03-20	Optimize mapr parsing and stabilize aggregate shutdown	Paul Buetow

2026-03-13	Stop stale query work promptly on generation cancel	Paul Buetow

2026-03-10	Refactor server-side config singleton reads	Paul Buetow

2026-03-04	fix: correct break/select flow and remove unreachable code (task 338)	Paul Buetow

2025-07-04	fix: resolve MapReduce turbo mode issues and serverless processing	Paul Buetow
	- Fix serverless MapReduce to pass options with map command for proper mode detection - Prevent raw lines from being sent to client during MapReduce operations - Only use turbo mode for cat/grep/tail when no aggregate is present - Fix race conditions in TurboAggregate with proper synchronization - Add SafeAggregateSet wrapper for thread-safe operations - Fix parser selection to use correct parser names - Add comprehensive unit tests for turbo aggregate functionality This ensures MapReduce operations in both turbo and non-turbo modes produce identical results and fixes serverless mode processing. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-03	fix: improve turbo mode MapReduce batch processing and shutdown sequence	Paul Buetow
	- Fixed batch processor to use synchronous processing during shutdown - Added processBatchAndWait method for guaranteed batch completion - Fixed Flush() to ensure all data is processed before file completion - Improved parser selection logic for table-based queries - Added extensive debug logging for troubleshooting - Increased wait times for serialization during shutdown These changes address data loss issues when processing multiple files concurrently in turbo mode. The batch processor now properly flushes all remaining data when files complete and during shutdown. Note: Integration tests still failing due to SSH authentication issues in test environment, but core turbo mode logic has been fixed. 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-03	fix: implement thread-safe turbo mode for MapReduce operations	Paul Buetow
	- Add SafeAggregateSet wrapper with mutex protection for concurrent access - Implement TurboAggregate for direct line processing without channels - Fix race conditions in turbo mode MapReduce aggregation - Add proper synchronization for batch processing completion - Update shutdown sequence to ensure all data is serialized - Add integration test configuration for high-concurrency scenarios The turbo mode now correctly handles MapReduce queries with significant performance improvements while maintaining data integrity and preventing race conditions during concurrent aggregation. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>