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• • Re: [PR] perf: optimize object store requests when reading CSV [datafusion] via GitHub
  • Re: [PR] perf: optimize object store requests when reading CSV [datafusion] via GitHub
  • Re: [PR] perf: optimize object store requests when reading CSV [datafusion] via GitHub
  • Re: [PR] perf: optimize object store requests when reading CSV [datafusion] via GitHub
  • Re: [PR] perf: optimize object store requests when reading CSV [datafusion] via GitHub
  • Re: [PR] perf: optimize object store requests when reading CSV [datafusion] via GitHub
• Re: [PR] refactor(shim): add new shim infra with `enableIfVer` macro to avoid shims duplication [datafusion-comet] via GitHub
  • Re: [PR] refactor(shim): add new shim infra with `enableIfVer` macro to avoid shims duplication [datafusion-comet] via GitHub
  • Re: [PR] refactor(shim): add new shim infra with `enableIfVer` macro to avoid shims duplication [datafusion-comet] via GitHub
  • Re: [PR] refactor(shim): add new shim infra with `enableIfVer` macro to avoid shims duplication [datafusion-comet] via GitHub
• [PR] refactor: share Spark 4.1+ shim sources to remove duplication [datafusion-comet] via GitHub
  • Re: [PR] refactor: share Spark 4.1+ shim sources to remove duplication [datafusion-comet] via GitHub
• [PR] [sql]: remove deprecated TableReference re-exports [datafusion] via GitHub
  • Re: [PR] [sql]: remove deprecated TableReference re-exports [datafusion] via GitHub
• Re: [I] native_datafusion more permissive than Spark 3.x when reading Parquet TimestampNTZ columns [datafusion-comet] via GitHub
• [PR] chore: remove deprecated DFParser::new & DFParser::new_with_dialect [datafusion] via GitHub
  • Re: [PR] [sql]: remove old deprecated `DFParser::new` and `DFParser::new_with_dialect` [datafusion] via GitHub
  • Re: [PR] [sql]: remove old deprecated `DFParser::new` and `DFParser::new_with_dialect` [datafusion] via GitHub
  • Re: [PR] [sql]: remove old deprecated `DFParser::new` and `DFParser::new_with_dialect` [datafusion] via GitHub
• [PR] chore: apply same SBT profile for Spark 4.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: apply same SBT profile for Spark 4.0 [datafusion-comet] via GitHub
• Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
• Re: [I] CI failure: `fuzz_cases::join_fuzz::test_left_anti_join_1k` [datafusion] via GitHub
• [PR] [physical-plan]: remove deprecated UnionExec::new [datafusion] via GitHub
  • Re: [PR] [physical-plan]: remove deprecated UnionExec::new [datafusion] via GitHub
  • Re: [PR] [physical-plan]: remove deprecated UnionExec::new [datafusion] via GitHub
• [I] Remove redundant partitioned_by_file_group file scan state [datafusion] via GitHub
  • Re: [I] Remove redundant partitioned_by_file_group file scan field [datafusion] via GitHub
• [I] Reduce boilerplate in native expression implementations [datafusion-comet] via GitHub
  • Re: [I] Reduce boilerplate in native expression implementations [datafusion-comet] via GitHub
• Re: [PR] Add `ListingOptions::output_partitioning` and `FileScanConfig::output_partitioning` for pre-defined file partitioning [datafusion] via GitHub
  • Re: [PR] Add `ListingOptions::output_partitioning` and `FileScanConfig::output_partitioning` for pre-defined file partitioning [datafusion] via GitHub
  • Re: [PR] Add `ListingOptions::output_partitioning` and `FileScanConfig::output_partitioning` for pre-defined file partitioning [datafusion] via GitHub
  • Re: [PR] Add `ListingOptions::output_partitioning` and `FileScanConfig::output_partitioning` for pre-defined file partitioning [datafusion] via GitHub
  • Re: [PR] Add `ListingOptions::output_partitioning` and `FileScanConfig::output_partitioning` for pre-defined file partitioning [datafusion] via GitHub
  • Re: [PR] Add `ListingOptions::output_partitioning` and `FileScanConfig::output_partitioning` for pre-defined file partitioning [datafusion] via GitHub
  • Re: [PR] Add `ListingOptions::output_partitioning` and `FileScanConfig::output_partitioning` for pre-defined file partitioning [datafusion] via GitHub
  • Re: [PR] Add `ListingOptions::output_partitioning` and `FileScanConfig::output_partitioning` for pre-defined file partitioning [datafusion] via GitHub
• [PR] perf: cache full Parquet metadata (incl. page index) via DataFusion's CachedParquetFileReaderFactory [datafusion-comet] via GitHub
  • Re: [PR] perf: cache full Parquet metadata (incl. page index) via DataFusion's CachedParquetFileReaderFactory [datafusion-comet] via GitHub
  • Re: [PR] perf: cache full Parquet metadata (incl. page index) via DataFusion's CachedParquetFileReaderFactory [datafusion-comet] via GitHub
  • Re: [PR] perf: cache full Parquet metadata (incl. page index) via DataFusion's CachedParquetFileReaderFactory [datafusion-comet] via GitHub
  • Re: [PR] perf: cache full Parquet metadata (incl. page index) via DataFusion's CachedParquetFileReaderFactory [datafusion-comet] via GitHub
• Re: [PR] fix: reject Parquet INT96 as TimestampNTZ on Spark 3.x [datafusion-comet] via GitHub
  • Re: [PR] fix: reject Parquet INT96 as TimestampNTZ on Spark 3.x [datafusion-comet] via GitHub
  • Re: [PR] fix: reject Parquet INT96 as TimestampNTZ on Spark 3.x [datafusion-comet] via GitHub
  • Re: [PR] fix: reject Parquet INT96 as TimestampNTZ on Spark 3.x [datafusion-comet] via GitHub
• Re: [I] Support `MapType` for `ElementAt` [datafusion-comet] via GitHub
• Re: [PR] Add Hotdata to the "known users" list in introduction.md [datafusion] via GitHub
  • Re: [PR] Add Hotdata to the "known users" list in introduction.md [datafusion] via GitHub
  • Re: [PR] Add Hotdata to the "known users" list in introduction.md [datafusion] via GitHub
  • Re: [PR] Add Hotdata to the "known users" list in introduction.md [datafusion] via GitHub
  • Re: [PR] Add Hotdata to the "known users" list in introduction.md [datafusion] via GitHub
  • Re: [PR] Add Hotdata to the "known users" list in introduction.md [datafusion] via GitHub
• Re: [PR] Rich t kid/implement multi dictionary aggr [datafusion] via GitHub
  • Re: [PR] Rich t kid/implement multi dictionary aggr [datafusion] via GitHub
  • Re: [PR] Rich t kid/implement multi dictionary aggr [datafusion] via GitHub
• Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
• Re: [I] EPIC: complete GroupValuesColumn type coverage (nested types + remaining primitives) [datafusion] via GitHub
• [PR] fix: apply recursive CTE column-list aliases to the static term [datafusion] via GitHub
  • Re: [PR] fix: apply recursive CTE column-list aliases to the static term [datafusion] via GitHub
  • Re: [PR] fix: apply recursive CTE column-list aliases to the static term [datafusion] via GitHub
  • Re: [PR] fix: apply recursive CTE column-list aliases to the static term [datafusion] via GitHub
  • Re: [PR] fix: apply recursive CTE column-list aliases to the static term [datafusion] via GitHub
  • Re: [PR] fix: apply recursive CTE column-list aliases to the static term [datafusion] via GitHub
  • Re: [PR] fix: apply recursive CTE column-list aliases to the static term [datafusion] via GitHub
  • Re: [PR] fix: apply recursive CTE column-list aliases to the static term [datafusion] via GitHub
• Re: [I] chore: DataFusion 54.0.0 [datafusion-comet] via GitHub
• Re: [PR] deps: Upgrade to DataFusion 54.0.0 [datafusion-comet] via GitHub
• [I] Recursive CTE column-list alias t(n) is ignored, fails to plan with "No field named n" [datafusion] via GitHub
  • Re: [I] Recursive CTE column-list alias t(n) is ignored, fails to plan with "No field named n" [datafusion] via GitHub
• Re: [I] date/time expression audit follow-ups (from #4448) [datafusion-comet] via GitHub
  • Re: [I] date/time expression audit follow-ups (from #4448) [datafusion-comet] via GitHub
• [I] Table Provider API [datafusion-comet] via GitHub
  • Re: [I] Table Provider API [datafusion-comet] via GitHub
• Re: [I] Add optional native Lance scan support [datafusion-comet] via GitHub
  • Re: [I] Add optional native Lance scan support [datafusion-comet] via GitHub
• [I] Bug triage results: 2026-06-22 [datafusion-comet] via GitHub
  • Re: [I] Bug triage results: 2026-06-22 [datafusion-comet] via GitHub
• [PR] docs: restore 0.13 user guide dropped in 0.17 release [datafusion-comet] via GitHub
  • Re: [PR] docs: restore 0.13 user guide dropped in 0.17 release [datafusion-comet] via GitHub
• [PR] perf: share encoder/reservation across PartitionedTopKExec partition … [datafusion] via GitHub
  • Re: [PR] perf: share encoder/reservation across PartitionedTopKExec partition … [datafusion] via GitHub
  • Re: [PR] perf: share encoder/reservation across PartitionedTopKExec partition … [datafusion] via GitHub
  • Re: [PR] perf: share encoder/reservation across PartitionedTopKExec partition … [datafusion] via GitHub
  • Re: [PR] perf: share encoder/reservation across PartitionedTopKExec partition … [datafusion] via GitHub
  • Re: [PR] perf: share encoder/reservation across PartitionedTopKExec partition … [datafusion] via GitHub
• Re: [PR] refactor: Use cast preimages for cast predicate rewrites [datafusion] via GitHub
  • Re: [PR] refactor: Use cast preimages for cast predicate rewrites [datafusion] via GitHub
  • Re: [PR] refactor: Use cast preimages for cast predicate rewrites [datafusion] via GitHub
• [I] Make unwrap_cast comparison optimization conservative for many-to-one (narrowing) casts (e.g. Decimal) [datafusion] via GitHub
  • Re: [I] Unsafe / incorrect `unwrap_cast` optimizations for narrowing casts (e.g. Decimal) [datafusion] via GitHub
  • Re: [I] Unsafe / incorrect `unwrap_cast` optimizations for narrowing casts (e.g. Decimal) [datafusion] via GitHub
• Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
  • Re: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub
• Re: [I] Unsafe comparison cast rewriting in ExprSimplifier silently produces wrong query results [datafusion] via GitHub
• Re: [PR] fix: block timestamp precision narrowing unwrap [datafusion] via GitHub
  • Re: [PR] fix: block timestamp precision narrowing unwrap [datafusion] via GitHub
• [PR] feat(physical-expr): add Partitioning::DynamicRange variant [datafusion] via GitHub
  • Re: [PR] feat(physical-expr): add Partitioning::DynamicRange variant [datafusion] via GitHub
  • Re: [PR] feat(physical-expr): add Partitioning::DynamicRange variant [datafusion] via GitHub
  • Re: [PR] feat(physical-expr): add Partitioning::DynamicRange variant [datafusion] via GitHub
• [I] API: Partitioning::DynamicRange for runtime-discovered split points [datafusion] via GitHub
  • Re: [I] API: Partitioning::DynamicRange for runtime-discovered split points [datafusion] via GitHub
  • Re: [I] API: Partitioning::DynamicRange for runtime-discovered split points [datafusion] via GitHub
• [PR] Docs: Add PartialSortExec documentation [datafusion] via GitHub
  • Re: [PR] Docs: Add `PartialSortExec` documentation [datafusion] via GitHub
  • Re: [PR] Docs: Add `PartialSortExec` documentation [datafusion] via GitHub
• [PR] refactor: centralize TopK heap boundary handling [datafusion] via GitHub
  • Re: [PR] refactor: centralize TopK heap boundary handling [datafusion] via GitHub
  • Re: [PR] refactor: centralize TopK heap boundary handling [datafusion] via GitHub
  • Re: [PR] refactor: centralize TopK heap boundary handling [datafusion] via GitHub
  • Re: [PR] refactor: centralize TopK heap boundary handling [datafusion] via GitHub
  • Re: [PR] refactor: centralize TopK heap boundary handling [datafusion] via GitHub
  • Re: [PR] refactor: centralize TopK heap boundary handling [datafusion] via GitHub
  • Re: [PR] refactor: centralize TopK heap boundary handling [datafusion] via GitHub
  • Re: [PR] refactor: centralize TopK heap boundary handling [datafusion] via GitHub
• [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
  • Re: [PR] feat: PartitionExtrema + SortExec observer + BoundedWindowAggExec passthrough [datafusion] via GitHub
• [I] API: runtime partition extrema for range-aware operators [datafusion] via GitHub
  • Re: [I] API: runtime partition extrema for range-aware operators [datafusion] via GitHub
  • Re: [I] API: runtime partition extrema for range-aware operators [datafusion] via GitHub
• Re: [PR] feat: add input_file_name() for file-backed scans (plumbing PR) [datafusion] via GitHub
• Re: [I] Add input_file_name built-in function [datafusion] via GitHub
• [PR] [branch-54] backport #22857 (Skip loading Parquet page index when row-group statistics already prove it cannot prune) [datafusion] via GitHub
  • Re: [PR] [branch-54] backport #22857 (Skip loading Parquet page index when row-group statistics already prove it cannot prune) [datafusion] via GitHub
  • Re: [PR] [branch-54] backport #22857 (Skip loading Parquet page index when row-group statistics already prove it cannot prune) [datafusion] via GitHub
• [PR] [branch-54]: backport #22811 (bugfix: changed return type of spark's width_bucket to i64) [datafusion] via GitHub
  • Re: [PR] [branch-54]: backport #22811 (bugfix: changed return type of spark's width_bucket to i64) [datafusion] via GitHub
• Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion] via GitHub
• Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
  • Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
  • Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
  • Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
  • Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
  • Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
  • Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
  • Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
• Re: [PR] Optimize Parquet row-filter struct schema pruning [datafusion] via GitHub
  • Re: [PR] Optimize Parquet row-filter struct schema pruning [datafusion] via GitHub
• Re: [PR] fix: optimize_projections failure with struct-field join keys [datafusion] via GitHub
  • Re: [PR] fix: optimize_projections failure with struct-field join keys [datafusion] via GitHub
  • Re: [PR] fix: optimize_projections failure with struct-field join keys [datafusion] via GitHub
  • Re: [PR] fix: optimize_projections failure with struct-field join keys [datafusion] via GitHub
  • Re: [PR] fix: optimize_projections failure with struct-field join keys [datafusion] via GitHub
• Re: [PR] feat: Add new `input_file_name` UDF for file-backed scans [datafusion] via GitHub
  • Re: [PR] feat: Add new `input_file_name` UDF for file-backed scans [datafusion] via GitHub
  • Re: [PR] feat: Add new `input_file_name` UDF for file-backed scans [datafusion] via GitHub
• Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt8 bitmap filter [datafusion] via GitHub

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