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feat: implement paginated search processing for large time ranges - #79

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digizeph merged 2 commits into
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feat/handling-long-query-ranges
Sep 4, 2025
Merged

feat: implement paginated search processing for large time ranges#79
digizeph merged 2 commits into
mainfrom
feat/handling-long-query-ranges

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@digizeph

@digizeph digizeph commented Sep 4, 2025 •
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Summary

Implements efficient paginated search processing to handle large time ranges (days/weeks) without memory issues, with real-time progress tracking showing success/failure counts.

Key Features

  • Paginated Processing: Process 1000-item pages sequentially instead of loading all items into memory
  • Real-time Progress Display: Live updates showing Processed X files, found Y messages | Page N (succeeded: A, failed: B) @ timestamp
  • Per-file SQLite Commits: Enhanced data safety with commits after each file instead of 10k message batches
  • Memory Efficient: Constant memory usage regardless of query time range length
  • Chronological Progress: Shows timestamp progression through time ranges

Technical Improvements

  • Simplified Architecture: Reduced from 4 channels to 2 with structured progress updates
  • Eliminated Complex String Parsing: Clean ProgressUpdate enum with structured data
  • Enhanced Database Safety: Fixed SQLite PRAGMA issues and reduced potential data loss
  • Clean Progress Display: Suppressed verbose logging during progress mode
  • Performance Optimized: 75% reduction in channel overhead and eliminated string manipulation

Benefits

  • Scalability: Handles multi-day/week queries without memory constraints
  • User Experience: Clear real-time feedback with success/failure visibility
  • Data Safety: Per-file commits minimize potential data loss on crashes
  • Maintainability: Simplified codebase with better error handling
  • Backward Compatibility: Small queries work identically to before

Example Output

⠁ Processed 145 files, found 25847 messages | Page 3 (succeeded: 132, failed: 13) @ 2025-08-01 02:30 UTC
⠂ Processed 146 files, found 25891 messages | Page 3 (succeeded: 133, failed: 13) @ 2025-08-01 02:30 UTC
⠃ Processed 147 files, found 25936 messages | Page 3 (succeeded: 134, failed: 13) @ 2025-08-01 02:30 UTC

Resolves issue #76 with large time range queries that previously caused long delay and poor user feedback.
@digizeph
feat: implement paginated search processing for large time ranges
4963eb6 
Replace memory-intensive bulk item loading with efficient pagination approach:

**Core Changes:**
- Add `build_broker()` method to SearchFilters for reusable broker configuration
- Replace single `to_broker_items()` call with page-by-page processing (1000 items per page)
- Process pages sequentially while maintaining parallel file processing within pages

**Progress Display Improvements:**
- Replace static progress bar with dynamic spinner showing real-time file processing
- Display: "Processed X files, found Y messages | Page N (files, total) @ timestamp"
- Show chronological progress through time ranges with first item timestamps

**Database Safety:**
- Implement per-file SQLite commits using WriterMessage enum with FileComplete signals
- Fix SQLite PRAGMA statements to use proper `pragma_update()` method
- Reduce potential data loss from 10k+ messages to single file scope

**Benefits:**
- Constant memory usage regardless of query time range length
- Faster processing start (no wait for complete item enumeration)
- Better user feedback with real-time progress and time progression
- Enhanced data safety with per-file database commits
- Scalable to multi-day/week queries without memory constraints

**Testing:**
- Add pagination logic tests with small page sizes
- Verify broker configuration and filtering works correctly
- Maintain backward compatibility for existing small queries
@digizeph
feat: implement real-time success/failure progress tracking
4a2d0f2 
Replace complex progress display with simplified real-time tracking:

**Simplified Architecture:**
- Replace 4 channels (sender, pb_sender, page_sender, status_sender) with 2 channels
- Add structured ProgressUpdate enum with FileComplete and PageStarted variants
- Eliminate complex string parsing with clean data structures

**Real-time Progress Display:**
- Success/failure counts update immediately as each file completes processing
- Format: "Processed X files, found Y messages | Page N (succeeded: A, failed: B) @ timestamp"
- Remove complex timeout-based polling with simple blocking receiver loop

**Code Quality Improvements:**
- Eliminate 20+ lines of fragile string manipulation and reconstruction
- Remove race conditions from multiple channel coordination
- Reduce synchronization overhead by 75% (4 channels -> 2 channels)
- Simplify progress thread from complex try_recv() polling to clean for-loop

**User Experience:**
- Clean progress display without log spam during progress mode
- Real-time feedback showing processing success rates
- Immediate visual feedback as individual files complete

**Performance Benefits:**
- Reduced CPU overhead from eliminated string parsing
- Lower memory allocations from structured data vs string reconstruction
- Improved thread coordination without busy-waiting patterns
@digizeph
digizeph merged commit f9eefa8 into main Sep 4, 2025
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@digizeph
digizeph deleted the feat/handling-long-query-ranges branch September 4, 2025 21:31
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