test(integration): RS_ReprojectMatch parity between SedonaDB and Sedona Spark - #1234
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…na Spark The nearest-neighbour path agrees bit-for-bit everywhere probed: same-CRS regrids onto finer and larger reference grids (anchored — nearest picks the source pixel under each output centre, uncovered cells fill with the input band's nodata), a genuine EPSG:4326 -> EPSG:3857 warp, and CRS-less inputs. Two xfails, both the divergence family RS_Resample catalogs: Bilinear kernels differ (GDAL vs the JVM), and Sedona Spark silently resamples nearest for unknown algorithm names where SedonaDB rejects them.
Drop the path_writer callbacks (_register/_add_view and their lambdas) for the suite's plain idiom — write the GeoTIFFs inline and loop the engines — and hoist the transform_bounds import to module level (the parity suite hard-requires rasterio).
james-willis
marked this pull request as ready for review
September 4, 2026 20:36
paleolimbot
approved these changes
Sep 4, 2026
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Parity coverage for
RS_ReprojectMatch, probe-first, one module per function. Branches offmain, independent of the other open parity PRs.What agrees (4 passing tests)
The nearest-neighbour path is bit-for-bit identical everywhere probed:
python/sedonadb/tests), and the engines matched exactly.What diverges (2 xfails, both already cataloged for RS_Resample)
'sinc'; Sedona Spark silently resamples nearest.Verification
4 passed, 2 xfailedlocally (pyspark 4.0.4, Sedona 1.9.1); CI runs the parity lane on this branch.