feat(python): add preprocessed_data and range_id for range-based BTree index#5941
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touch-of-grey wants to merge 1 commit intolance-format:mainfrom
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…sed BTree index Expose the preprocessed_data and range_id parameters in pylance's create_scalar_index binding, enabling range-based sorted BTree index builds from external orchestrators like lance-ray. - Extract range_id from kwargs and serialize into ScalarIndexParams for BTREE - Extract preprocessed_data from kwargs via ArrowArrayStreamReader - Use execute_uncommitted when preprocessed_data is provided (skip commit) - Forward both params through Python create_scalar_index Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
preprocessed_dataandrange_idparameters in pylance'screate_scalar_indexbindingrange_idfrom kwargs and serialize intoScalarIndexParams.paramsJSON for BTREEpreprocessed_datafrom kwargs viaArrowArrayStreamReaderand pass to index builderexecute_uncommittedwhenpreprocessed_datais provided (matching Java binding'sshould_skip_commitlogic)create_scalar_indexThis is a prerequisite for lance-ray's range-based sorted BTree index support (lance-format/lance-ray#92).
Test plan
cargo clippypassescargo fmtpassescc @jackye1995 @chenghao-guo
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