[GH-2639] Add StructuredAdapter.repartitionBySpatialKey for simplified spatial partitioning#2644
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[GH-2639] Add StructuredAdapter.repartitionBySpatialKey for simplified spatial partitioning#2644
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…atial partitioning Add a convenience method that wraps the multi-step process of: 1. Converting DataFrame to SpatialRDD 2. Calling analyze() 3. Applying spatialPartitioningWithoutDuplicates 4. Converting back to DataFrame into a single call: StructuredAdapter.repartitionBySpatialKey(df, GridType.KDBTREE, 10) This simplifies the workflow for generating spatially partitioned GeoParquet files. Added to both Scala and Python APIs, with tests and updated documentation. Closes #2639
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[GH-XXX] my subject. Closes We should simplify the process to use KDB-Tree partitioner to generate geoparquet files #2639What changes were proposed in this PR?
Added
StructuredAdapter.repartitionBySpatialKey()- a one-step API for spatially partitioning DataFrames using KDB-Tree (or other grid types). This simplifies the current 5-step workflow (DataFrame to SpatialRDD to analyze to spatialPartitioningWithoutDuplicates to back to DataFrame) into a single method call.Changes:
repartitionBySpatialKeyinStructuredAdapter.scala(full params, auto-detect geometry, auto-detect plus default partitions)repartitionBySpatialKeyclassmethod instructured_adapter.pystructuredAdapterTestScala.scalatest_structured_adapter.pyHow was this patch tested?
structuredAdapterTestScalaDid this PR include necessary documentation updates?
v1.9.0format.