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…ponse - Add from_query_response() method to convert JSON data to DataTable - Implement proper type inference for columns - Add F6 demo to show DataTable conversion with memory comparison - DataTable uses typed DataValue enum instead of JSON - Shows significant memory reduction potential This is the foundation for migrating away from JSON-based storage to a more efficient columnar DataTable architecture.
- Move 20 shell scripts to integration_tests/test_scripts/ - Move 14 CSV test files to integration_tests/test_data/ - Move 34 Rust test files to integration_tests/ - Update README with new directory structure - Clean up main directory from test clutter This keeps the project root clean and organizes tests logically.
- F6 now only shows DataTable conversion, doesn't switch to PrettyQuery - F7 now shows Pretty Query view (moved from F6) - Status message shows memory comparison: 'JSON ~XKB vs DataTable ~YKB' - Debug logs show column type details when RUST_LOG=debug The status message was being immediately overwritten by PrettyQuery mode.
- F6 was only handled in Command mode, not Results mode - Added F6 handler to handle_results_input() function - Now pressing F6 in Results mode will show DataTable conversion - Status message displays memory comparison in status bar The demo now works correctly from Results view where users spend most time.
- DataTable now counts actual string content, not just enum size - JSON size calculation includes field name duplication overhead - More accurate memory comparison for real-world data For 10k rows with 53 columns, the estimates should now be more realistic, showing actual memory usage including string content and overhead.
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