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- Created TILING_BENCHMARK_README.md detailing the implementation of efficient tiling workflows with EOPF Zarr data using rio-tiler. - Developed Notebook 1: EOPF Zarr + Rio-tiler Fundamentals with Sentinel-2, covering integration, tile generation, and performance analysis. - Introduced reusable utilities in zarr_tiling_utils.py for rechunking, performance benchmarking, and overview generation. - Updated pyproject.toml to include necessary dependencies for the new functionalities. - Established a testing checklist and outlined next steps for future notebooks focusing on chunking strategy optimization and projections.
- Removed the `compare_chunking_strategies` function and replaced it with a new implementation that visualizes how a single tile request maps to chunks across different strategies. - Introduced `visualize_chunks_and_tiles` function to display the spatial relationship between Zarr chunks and tile requests, including chunk boundaries and example tile requests. - Enhanced performance summary printing for better clarity on chunk access efficiency.
- Deleted the comprehensive README for the Rio-tiler EOPF Zarr use case, which included detailed notebook summaries, key features, and technical decisions. - Updated `compare_chunking_strategies` function in `zarr_tiling_utils.py` to calculate and display data transfer volumes and overhead ratios for different chunking strategies. - Improved output formatting for chunk access comparison, providing clearer metrics on tile data, transferred data, and efficiency.
- Expanded the efficiency labels to include overhead considerations. - Adjusted the printed table header for better readability. - Updated efficiency definitions to clarify the impact of chunk count and overhead on performance.
sabrinaszeto
requested review from
jwagemann
and removed request for
gisromerocandanedo
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@emmanuelmathot is this still relevant? If not can we close? |
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Introduce a comprehensive notebook to understand the fundamentals for tiling workflows with EOPF Zarr data using rio-tiler.