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• Re: [PR] fix: address escape literal issue #21516 [datafusion] via GitHub
• Re: [PR] feat: Add multi-column support for null-aware anti joins [datafusion] via GitHub
• [PR] chore: benchmarks compare.py documentation fixes [datafusion] via GitHub
  • Re: [PR] chore: benchmarks compare.py documentation fixes [datafusion] via GitHub
  • Re: [PR] chore: benchmarks compare.py documentation fixes [datafusion] via GitHub
  • Re: [PR] chore: benchmarks compare.py documentation fixes [datafusion] via GitHub
  • Re: [PR] chore: benchmarks compare.py documentation fixes [datafusion] via GitHub
  • Re: [PR] chore: benchmarks compare.py documentation fixes [datafusion] via GitHub
• Re: [PR] feat(ffi): plumb `simplify`, `expressions`, `reverse_expr`, and `documentation` through `FFI_WindowUDF` [datafusion] via GitHub
• Re: [PR] Revert "`vars.USE_RUNS_ON`" [datafusion] via GitHub
• Re: [PR] fix: make table function arg coercion non-fatal, add raw_exprs accessor [datafusion] via GitHub
• Re: [PR] fix: round large UInt64 values without narrowing [datafusion] via GitHub
  • Re: [PR] fix: round large UInt64 values without narrowing [datafusion] via GitHub
• Re: [PR] fix: roll back DiskManager usage when spill write I/O fails [datafusion] via GitHub
  • Re: [PR] fix: roll back DiskManager usage when spill write I/O fails [datafusion] via GitHub
  • Re: [PR] fix: roll back DiskManager usage when spill write I/O fails [datafusion] via GitHub
  • Re: [PR] fix: roll back DiskManager usage when spill write I/O fails [datafusion] via GitHub
  • Re: [PR] fix: roll back DiskManager usage when spill write I/O fails [datafusion] via GitHub
• Re: [PR] fix: reject duplicate field names during CSV and Parquet schema inference [datafusion] via GitHub
  • Re: [PR] fix: reject duplicate field names during CSV and Parquet schema inference [datafusion] via GitHub
  • Re: [PR] fix: reject duplicate field names during CSV and Parquet schema inference [datafusion] via GitHub
  • Re: [PR] fix: reject duplicate field names during CSV and Parquet schema inference [datafusion] via GitHub
  • Re: [PR] fix: reject duplicate field names during CSV and Parquet schema inference [datafusion] via GitHub
  • Re: [PR] fix: reject duplicate field names during CSV and Parquet schema inference [datafusion] via GitHub
  • Re: [PR] fix: reject duplicate field names during CSV and Parquet schema inference [datafusion] via GitHub
• Re: [PR] doc: add implementation guidelines for `datafusion-spark` [datafusion] via GitHub
  • Re: [PR] doc: add implementation guidelines for `datafusion-spark` [datafusion] via GitHub
  • Re: [PR] doc: add implementation guidelines for `datafusion-spark` [datafusion] via GitHub
• [PR] Test: pin arrow-rs to apache/arrow-rs#10719 (new `PageIndex` struct) [datafusion] via GitHub
  • Re: [PR] Test: pin arrow-rs to apache/arrow-rs#10719 (new `PageIndex` struct) [datafusion] via GitHub
• [PR] feat: remove serialisation of build in file formats from ballista [datafusion-ballista] via GitHub
  • Re: [PR] feat: remove serialisation of built-in file formats from ballista [datafusion-ballista] via GitHub
  • Re: [PR] feat: remove serialisation of built-in file formats from ballista [datafusion-ballista] via GitHub
  • Re: [PR] feat: remove serialisation of built-in file formats from ballista [datafusion-ballista] via GitHub
  • Re: [PR] feat: remove serialisation of built-in file formats from ballista [datafusion-ballista] via GitHub
  • Re: [PR] feat: remove serialisation of built-in file formats from ballista [datafusion-ballista] via GitHub
  • Re: [PR] feat: remove serialisation of built-in file formats from ballista [datafusion-ballista] via GitHub
  • Re: [PR] feat: remove serialisation of built-in file formats from ballista [datafusion-ballista] via GitHub
  • Re: [PR] feat: remove serialisation of built-in file formats from ballista [datafusion-ballista] via GitHub
  • Re: [PR] feat: remove serialisation of built-in file formats from ballista [datafusion-ballista] via GitHub
• [PR] chore: fix malformed example tables in aggregate function docs [datafusion] via GitHub
  • Re: [PR] chore: fix malformed example tables in aggregate function docs [datafusion] via GitHub
  • Re: [PR] chore: fix malformed example tables in aggregate function docs [datafusion] via GitHub
• Re: [PR] test: add expression fallback-invariance suite [datafusion-comet] via GitHub
  • Re: [PR] test: add expression fallback-invariance suite [datafusion-comet] via GitHub
  • Re: [PR] test: add expression fallback-invariance suite [datafusion-comet] via GitHub
  • Re: [PR] test: add expression fallback-invariance suite [datafusion-comet] via GitHub
• Re: [PR] perf: optimize string contains function [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize string contains function [datafusion-comet] via GitHub
• [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
• Re: [PR] bench: Add benchmarks for ordered `ARRAY_AGG` and `STRING_AGG` [datafusion] via GitHub
  • Re: [PR] bench: Add benchmarks for ordered `ARRAY_AGG` and `STRING_AGG` [datafusion] via GitHub
• [PR] fix: array_sort doesnt respect array inputs for sort order/nulls first [datafusion] via GitHub
  • Re: [PR] fix: array_sort doesnt respect array inputs for sort order/nulls first [datafusion] via GitHub
• Re: [PR] introduce new dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] introduce new dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] introduce new dictionary benchmarks [datafusion] via GitHub
• [PR] test: add range-partitioned sorted time-bin aggregation coverage [datafusion] via GitHub
  • Re: [PR] test: add range-partitioned sorted time-bin aggregation coverage [datafusion] via GitHub
  • Re: [PR] test: add range-partitioned sorted time-bin aggregation coverage [datafusion] via GitHub
  • Re: [PR] test: add range-partitioned sorted time-bin aggregation coverage [datafusion] via GitHub
  • Re: [PR] test: add range-partitioned sorted time-bin aggregation coverage [datafusion] via GitHub
  • Re: [PR] test: add range-partitioned sorted time-bin aggregation coverage [datafusion] via GitHub
  • Re: [PR] test: add range-partitioned sorted time-bin aggregation coverage [datafusion] via GitHub
  • Re: [PR] test: add range-partitioned sorted time-bin aggregation coverage [datafusion] via GitHub
  • Re: [PR] test: add range-partitioned sorted time-bin aggregation coverage [datafusion] via GitHub
• Re: [I] Support functions date_bin and date_trunc in range partition satisfaction [datafusion] via GitHub
  • Re: [I] Support functions date_bin and date_trunc in range partition satisfaction [datafusion] via GitHub
  • Re: [I] Support functions date_bin and date_trunc in range partition satisfaction [datafusion] via GitHub
  • Re: [I] Support functions date_bin and date_trunc in range partition satisfaction [datafusion] via GitHub
• [PR] fix: make ScalarValue::eq_array match float PartialEq [datafusion] via GitHub
  • Re: [PR] fix: make ScalarValue::eq_array match float PartialEq [datafusion] via GitHub
  • Re: [PR] fix: make ScalarValue::eq_array match float PartialEq [datafusion] via GitHub
  • Re: [PR] fix: make ScalarValue::eq_array match float PartialEq [datafusion] via GitHub
• [PR] fix: preserve per-node UNION vs UNION ALL when unparsing [datafusion] via GitHub
  • Re: [PR] fix: preserve per-node UNION vs UNION ALL when unparsing [datafusion] via GitHub
  • Re: [PR] fix: preserve per-node UNION vs UNION ALL when unparsing [datafusion] via GitHub
  • Re: [PR] fix: preserve per-node UNION vs UNION ALL when unparsing [datafusion] via GitHub
  • Re: [PR] fix: preserve per-node UNION vs UNION ALL when unparsing [datafusion] via GitHub
• Re: [I] `ScalarValue::eq_array` is inconsistent with `ScalarValue` equality for floating-point values [datafusion] via GitHub
  • Re: [I] `ScalarValue::eq_array` is inconsistent with `ScalarValue` equality for floating-point values [datafusion] via GitHub
  • Re: [I] `ScalarValue::eq_array` is inconsistent with `ScalarValue` equality for floating-point values [datafusion] via GitHub
• Re: [PR] perf: serialize Python input directly from Comet Arrow vectors [datafusion-comet] via GitHub
  • Re: [PR] perf: serialize Python input directly from Comet Arrow vectors [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump the all-other-cargo-deps group in /native with 5 updates [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump the all-other-cargo-deps group in /native with 5 updates [datafusion-comet] via GitHub
• Re: [I] PostgreSQL compatibility: `log(0.0::float8)` should error, not return `-inf` [datafusion] via GitHub
• Re: [I] [datafusion-spark] Optimize hex function [datafusion] via GitHub
  • Re: [I] [datafusion-spark] Optimize hex function [datafusion] via GitHub
• [PR] feat: stream aggregates for partition-disjoint input [datafusion] via GitHub
  • Re: [PR] feat: stream aggregates for partition-disjoint input [datafusion] via GitHub
  • Re: [PR] feat: stream aggregates for group-contiguous input [datafusion] via GitHub
  • Re: [PR] feat: stream aggregates for group-contiguous input [datafusion] via GitHub
  • Re: [PR] feat: stream aggregates for group-contiguous input [datafusion] via GitHub
  • Re: [PR] feat: stream aggregates for group-contiguous input [datafusion] via GitHub
  • Re: [PR] feat: stream aggregates for group-contiguous input [datafusion] via GitHub
  • Re: [PR] feat: stream aggregates for group-contiguous input [datafusion] via GitHub
• [PR] fix: count SortExec TopK output_batches after emit split [datafusion] via GitHub
  • Re: [PR] fix: count SortExec TopK output_batches after emit split [datafusion] via GitHub
  • Re: [PR] fix: count SortExec TopK output_batches after emit split [datafusion] via GitHub
  • Re: [PR] fix: count SortExec TopK output_batches after emit split [datafusion] via GitHub
  • Re: [PR] fix: count SortExec TopK output_batches after emit split [datafusion] via GitHub
• Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
  • Re: [PR] fix: apply struct field filters when the file schema needs adaptation [datafusion] via GitHub
• [PR] fix: expose PartitionedTopKExec metrics [datafusion] via GitHub
  • Re: [PR] fix: expose PartitionedTopKExec metrics [datafusion] via GitHub
  • Re: [PR] fix: expose PartitionedTopKExec metrics [datafusion] via GitHub
  • Re: [PR] fix: expose PartitionedTopKExec metrics [datafusion] via GitHub
  • Re: [PR] fix: expose PartitionedTopKExec metrics [datafusion] via GitHub
• [PR] perf: return Utf8View from Spark hex with inline short path [datafusion] via GitHub
  • Re: [PR] perf: return Utf8View from Spark hex with inline short path [datafusion] via GitHub
• Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
  • Re: [PR] introduce optional rle reads from parquet [datafusion] via GitHub
• [PR] Slt matrix [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
  • Re: [PR] Support config matrix for SLT tests [datafusion] via GitHub
• Re: [I] [FEATURE] Native scan support for VariantType columns (Iceberg + Spark 4.0) [datafusion-comet] via GitHub
  • Re: [I] [FEATURE] Native scan support for VariantType columns (Iceberg + Spark 4.0) [datafusion-comet] via GitHub
• Re: [I] arrays_overlap on flat float arrays does not canonicalize NaN like Spark [datafusion-comet] via GitHub
• Re: [I] arrays_overlap panics on nested double arrays built from expressions [datafusion-comet] via GitHub
• [I] Document HA scheduler [datafusion-ballista] via GitHub
  • Re: [I] Document HA scheduler [datafusion-ballista] via GitHub
  • Re: [I] Document HA scheduler [datafusion-ballista] via GitHub
• Re: [PR] feat: add support for `aes_decrypt` expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add support for `aes_decrypt` expression [datafusion-comet] via GitHub
• Re: [PR] ci: run extended tests on aggregate and window function changes [datafusion] via GitHub
  • Re: [PR] ci: run extended tests on aggregate and window function changes [datafusion] via GitHub
• Re: [PR] FFI Query Planner on 54.0.0 [datafusion-ballista] via GitHub
  • Re: [PR] FFI Query Planner on 54.0.0 [datafusion-ballista] via GitHub
• [I] [EPIC] Criterion bench coverage for all native expressions [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Criterion bench coverage for all native expressions [datafusion-comet] via GitHub
• Re: [I] Inline ORDER BY drops arguments for approximate percentile aggregates [datafusion] via GitHub
  • Re: [I] Inline ORDER BY drops arguments for approximate percentile aggregates [datafusion] via GitHub
  • Re: [I] Inline ORDER BY drops arguments for approximate percentile aggregates [datafusion] via GitHub
  • Re: [I] Inline ORDER BY drops arguments for approximate percentile aggregates [datafusion] via GitHub
  • Re: [I] Inline ORDER BY drops arguments for approximate percentile aggregates [datafusion] via GitHub
• [PR] fix(ffi): prevent recursive session physical planning [datafusion] via GitHub
  • Re: [PR] fix(ffi): prevent recursive session physical planning [datafusion] via GitHub
• [PR] fix: exclude child compute from NestedLoopJoinExec metrics [datafusion] via GitHub
  • Re: [PR] fix: exclude child compute from NestedLoopJoinExec metrics [datafusion] via GitHub

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