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• [PR] Kept null-aware anti-join NULLs in the pushed dynamic filter. [datafusion] via GitHub
  • Re: [PR] fix: kept null-aware anti-join NULLs in the pushed dynamic filter. [datafusion] via GitHub
  • Re: [PR] fix: kept null-aware anti-join NULLs in the pushed dynamic filter. [datafusion] via GitHub
  • Re: [PR] fix: kept null-aware anti-join NULLs in the pushed dynamic filter. [datafusion] via GitHub
  • Re: [PR] fix: kept null-aware anti-join NULLs in the pushed dynamic filter. [datafusion] via GitHub
  • Re: [PR] fix: kept null-aware anti-join NULLs in the pushed dynamic filter. [datafusion] via GitHub
  • Re: [PR] fix: kept null-aware anti-join NULLs in the pushed dynamic filter. [datafusion] via GitHub
  • Re: [PR] fix: keep null-aware anti-join NULLs in the pushed dynamic filter [datafusion] via GitHub
  • Re: [PR] fix: keep null-aware anti-join NULLs in the pushed dynamic filter [datafusion] via GitHub
• [I] Null-aware anti join (`NOT IN`) returns rows when join dynamic filter pushdown drops the probe NULL [datafusion] via GitHub
  • Re: [I] Null-aware anti join (`NOT IN`) returns rows when join dynamic filter pushdown drops the probe NULL [datafusion] via GitHub
• Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
• Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
• Re: [I] Expose Range Partitioning Across FFI Boundaries [datafusion] via GitHub
  • Re: [I] Expose Range Partitioning Across FFI Boundaries [datafusion] via GitHub
• Re: [I] Support planning logical range repartitioning [datafusion] via GitHub
  • Re: [I] Support planning logical range repartitioning [datafusion] via GitHub
  • Re: [I] Support planning logical range repartitioning [datafusion] via GitHub
  • Re: [I] Support planning logical range repartitioning [datafusion] via GitHub
  • Re: [I] Support planning logical range repartitioning [datafusion] via GitHub
  • Re: [I] Support planning logical range repartitioning [datafusion] via GitHub
  • Re: [I] Support planning logical range repartitioning [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] 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] feat(physical-expr): add Partitioning::DynamicRange variant [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: [PR] Docs: Add `PartialSortExec` documentation [datafusion] via GitHub
  • Re: [PR] Docs: Add `PartialSortExec` documentation [datafusion] via GitHub
• Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
• Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation 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
• Re: [PR] Fix DuckDB unparse for optimized join projections [datafusion] via GitHub
  • Re: [PR] Fix DuckDB unparse for optimized join projections [datafusion] via GitHub
  • Re: [PR] Fix DuckDB unparse for optimized join projections [datafusion] via GitHub
• Re: [PR] Fix projection functional dependency remapping [datafusion] via GitHub
  • Re: [PR] Fix projection functional dependency remapping [datafusion] via GitHub
  • Re: [PR] Fix projection functional dependency remapping [datafusion] via GitHub
  • Re: [PR] Fix projection functional dependency remapping [datafusion] via GitHub
  • Re: [PR] Fix projection functional dependency remapping [datafusion] via GitHub
  • Re: [PR] Fix projection functional dependency remapping [datafusion] via GitHub
• Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [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] fix: preserve no-filter SMJ matches across pending outer batches [datafusion] via GitHub
  • Re: [PR] fix: preserve no-filter SMJ matches across pending outer batches [datafusion] via GitHub
  • Re: [PR] fix: preserve no-filter SMJ matches across pending outer batches [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
  • 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: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] 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] feat: support MapType input 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] 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: [I] Remove old deprecated code [datafusion] via GitHub
  • Re: [I] Remove old deprecated code [datafusion] via GitHub
  • Re: [I] Remove old deprecated code [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] Handle nulls in type coercion of higher-order UDFs, map_extract, spark repeat [datafusion] via GitHub
  • Re: [PR] Handle nulls in type coercion of higher-order UDFs, map_extract, spark repeat [datafusion] via GitHub
  • Re: [PR] Handle nulls in type coercion of higher-order UDFs, map_extract, spark repeat [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: [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: [I] [EPIC] Adaptive predicate evaluation [datafusion] via GitHub
  • Re: [I] [EPIC] Adaptive predicate evaluation [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
• Re: [PR] Add declared file scan output partitioning [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: [PR] Parallel bounded RANGE-frame window functions without PARTITION BY (draft) [datafusion] via GitHub

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