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• • Re: [PR] variant: Integrate datafusion-variant into Datafusion [datafusion] via GitHub
  • Re: [PR] variant: Integrate datafusion-variant into Datafusion [datafusion] via GitHub
  • Re: [PR] variant: Integrate datafusion-variant into Datafusion [datafusion] via GitHub
• Re: [PR] fix: report native operator spill metrics in Spark task metrics for non-shuffle stages [datafusion-comet] via GitHub
  • Re: [PR] fix: report native operator spill metrics in Spark task metrics for non-shuffle stages [datafusion-comet] via GitHub
• Re: [I] Report native operator spill metrics in Spark task metrics for non-shuffle stages [datafusion-comet] via GitHub
• [I] map_from_entries crashes on a null array element instead of returning NULL [datafusion-comet] via GitHub
  • Re: [I] map_from_entries crashes on a null array element instead of returning NULL [datafusion-comet] via GitHub
  • Re: [I] map_from_entries crashes on a null array element instead of returning NULL [datafusion-comet] via GitHub
• Re: [PR] feat: support ASOF joins [datafusion] via GitHub
  • Re: [PR] feat: support ASOF joins [datafusion] via GitHub
  • Re: [PR] feat: support ASOF joins [datafusion] via GitHub
• Re: [I] support Dictionary types in approx_distinct [datafusion] via GitHub
  • Re: [I] support Dictionary types in approx_distinct [datafusion] via GitHub
• [PR] ci: add pinned Linux CI image recipe and offline validation [pingz-1-32-0] [datafusion-comet] via GitHub
• Re: [PR] fix: make wide date-to-timestamp casts safe [datafusion-comet] via GitHub
  • Re: [PR] fix: make wide date-to-timestamp casts safe [datafusion-comet] via GitHub
  • Re: [PR] fix: make wide date-to-timestamp casts safe [datafusion-comet] via GitHub
  • Re: [PR] fix: make wide date-to-timestamp casts safe [datafusion-comet] via GitHub
  • Re: [PR] fix: make wide date-to-timestamp casts safe [datafusion-comet] via GitHub
• Re: [PR] fix: normalize floating-point values in native collect_set [datafusion-comet] via GitHub
• Re: [I] Versioned documentation [datafusion] via GitHub
  • Re: [I] Versioned documentation [datafusion] via GitHub
  • Re: [I] Versioned documentation [datafusion] via GitHub
  • Re: [I] Versioned documentation [datafusion] via GitHub
• Re: [PR] fix: native ansi-errors raised as spark error [datafusion-comet] via GitHub
• Re: [PR] feat: support ANSI interval types in native Parquet scans [datafusion-comet] via GitHub
• Re: [PR] fix: normalize scalar float sort and window rank keys [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize scalar float sort and window rank keys [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize scalar float sort and window rank keys [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize scalar float sort and window rank keys [datafusion-comet] via GitHub
• [PR] test: cover unsorted contiguous groups in one partition [datafusion] via GitHub
  • Re: [PR] test: cover unsorted contiguous groups in one partition [datafusion] via GitHub
  • Re: [PR] test: cover unsorted contiguous groups in one partition [datafusion] via GitHub
  • Re: [PR] test: cover unsorted contiguous groups in one partition [datafusion] via GitHub
• Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
• Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
• [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
• Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
• [I] Cancel background batch producers before collecting final plan metrics [datafusion-comet] via GitHub
• Re: [PR] fix: normalize noncanonical NaN literals in comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize noncanonical NaN literals in comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize noncanonical NaN literals in comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize noncanonical NaN literals in comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize noncanonical NaN literals in comparisons [datafusion-comet] via GitHub
• Re: [PR] perf: optimize list_extract without defaults using Arrow take [datafusion-comet] via GitHub
• Re: [PR] Fix sum by name in custom metrics [datafusion] via GitHub
  • Re: [PR] Fix sum by name in custom metrics [datafusion] via GitHub
  • Re: [PR] Fix sum by name in custom metrics [datafusion] via GitHub
  • Re: [PR] Fix sum by name in custom metrics [datafusion] via GitHub
• [I] Comet native broadcast fails under spark.kryo.registrationRequired=true [datafusion-comet] via GitHub
• Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
• Re: [PR] perf: optimize levenshtein function [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize levenshtein function [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize levenshtein function [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize levenshtein function [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize levenshtein function [datafusion-comet] via GitHub
• Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
• Re: [PR] FFI Query Planner on 54.0.0 [datafusion-python] via GitHub
  • Re: [PR] FFI Query Planner on 54.0.0 [datafusion-python] via GitHub
• [I] Match Spark ObjectHashAggregate decimal AVG buffer semantics [datafusion-comet] via GitHub
• Re: [PR] feat: bind task-owned RSS callbacks to native shuffle plans (4/n) [datafusion-comet] via GitHub
  • Re: [PR] feat: bind task-owned RSS callbacks to native shuffle plans (4/n) [datafusion-comet] via GitHub
• [I] Bitwise `&` and `->` group differently in the PostgreSQL and MySQL/Generic dialects [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Bitwise `&` and `->` group differently in the PostgreSQL and MySQL/Generic dialects [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Bitwise `&` and `->` group differently in the PostgreSQL and MySQL/Generic dialects [datafusion-sqlparser-rs] via GitHub
• Re: [I] IN LIST: handle dictionary-encoded needles once (rather than in each filter type) to reduce code size [datafusion] via GitHub
• Re: [PR] IN LIST: Handle dictionary inputs once [datafusion] via GitHub
• Re: [PR] test: check sql_example tables line up [datafusion] via GitHub
• Re: [PR] feat: expose native Parquet scan I/O and read-amplification metrics [datafusion-comet] via GitHub
  • Re: [PR] feat: expose native Parquet scan I/O and read-amplification metrics [datafusion-comet] via GitHub
• Re: [PR] fix: hash join dynamic filter with dictionary-encoded join keys [datafusion] via GitHub
• Re: [PR] feat: implement native native existence join support [datafusion-comet] via GitHub
• Re: [PR] fix(proto): check plan integer conversions across usize boundaries [datafusion] via GitHub
• [I] Extended tests seem to be failing on main [datafusion] via GitHub
  • Re: [I] Extended tests seem to be failing on main [datafusion] via GitHub
• Re: [PR] Make `udaf_default_*` display/schema name helpers non-generic (214 KB smaller binary) [datafusion] via GitHub
  • Re: [PR] Make `udaf_default_*` display/schema name helpers non-generic (214 KB smaller binary) [datafusion] via GitHub
  • Re: [PR] Make `udaf_default_*` display/schema name helpers non-generic (214 KB smaller binary) [datafusion] via GitHub
• Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
  • Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
• Re: [I] Add AI tooling disclosure text to contributor guide and fields to PR templates [datafusion] via GitHub
  • Re: [I] Add AI tooling disclosure text to contributor guide and fields to PR templates [datafusion] via GitHub
  • Re: [I] Add AI tooling disclosure text to contributor guide and fields to PR templates [datafusion] via GitHub
  • Re: [I] Add AI tooling disclosure text to contributor guide and fields to PR templates [datafusion] via GitHub
  • Re: [I] Add AI tooling disclosure text to contributor guide and fields to PR templates [datafusion] via GitHub
• [I] Match Spark ordering and rank semantics for floating values nested in arrays and structs [datafusion-comet] via GitHub
• Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion] via GitHub
  • Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion] via GitHub
• Re: [PR] fix(catalog): apply a MemTable DELETE or UPDATE when the plan runs [datafusion] via GitHub
  • Re: [PR] fix(catalog): apply a MemTable DELETE or UPDATE when the plan runs [datafusion] via GitHub
  • Re: [PR] fix(catalog): apply a MemTable DELETE or UPDATE when the plan runs [datafusion] via GitHub
• Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet] via GitHub
  • Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet] via GitHub
  • Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet] via GitHub
  • Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet] via GitHub
• [I] Narrow strict floating-point admission for corrected scalar sort keys [datafusion-comet] via GitHub
• Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
• Re: [PR] fix: revert unsafe partial aggregates after final fallback [datafusion-comet] via GitHub
  • Re: [PR] fix: revert unsafe partial aggregates after final fallback [datafusion-comet] via GitHub
  • Re: [PR] fix: revert unsafe partial aggregates after final fallback [datafusion-comet] via GitHub
  • Re: [PR] fix: revert unsafe partial aggregates after final fallback [datafusion-comet] via GitHub
  • Re: [PR] fix: revert unsafe partial aggregates after final fallback [datafusion-comet] via GitHub
  • Re: [PR] fix: revert unsafe partial aggregates after final fallback [datafusion-comet] via GitHub
• Re: [PR] fix: preserve MERGE target qualifier bindings [datafusion] via GitHub
• Re: [I] Refresh SQL parser settings between statistics query files [datafusion] via GitHub
  • Re: [I] Refresh SQL parser settings between statistics query files [datafusion] via GitHub
• [PR] fix: cancel background batch producers before final metrics [datafusion-comet] via GitHub
  • Re: [PR] fix: cancel background batch producers before final metrics [datafusion-comet] via GitHub
• Re: [PR] fix: preserve current AQE logical-stage links on Comet operators [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve current AQE logical-stage links on Comet operators [datafusion-comet] via GitHub
• Re: [PR] feat: support dictionary in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: support dictionary in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: support dictionary in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: support dictionary in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: support dictionary in approx_distinct [datafusion] via GitHub
• Re: [PR] fix: match Spark ordering in native array extrema [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark ordering in native array extrema [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark ordering in native array extrema [datafusion-comet] via GitHub
• Re: [PR] feat(core): range shuffle reads only the bytes a consumer's range covers [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): range shuffle reads only the bytes a consumer's range covers [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): range shuffle reads only the bytes a consumer's range covers [datafusion-ballista] via GitHub
• Re: [PR] ci: shard Iceberg Spark tests across four runners [datafusion-comet] via GitHub
• [I] Track provenance of fallback reasons copied through shared expression nodes [datafusion-comet] via GitHub
• Re: [PR] fix: ignore structural tags when lifting expression coverage [datafusion-comet] via GitHub
  • Re: [PR] fix: ignore structural tags when lifting expression coverage [datafusion-comet] via GitHub
  • Re: [PR] fix: ignore structural tags when lifting expression coverage [datafusion-comet] via GitHub
• Re: [PR] fix: support CalendarIntervalType hashing [datafusion-comet] via GitHub
• Re: [PR] ci: extend Maven setup and retry dependency downloads [datafusion-comet] via GitHub
  • Re: [PR] ci: extend Maven setup and retry dependency downloads [datafusion-comet] via GitHub
• [I] Include days in CalendarInterval hash when Spark 4.3+ is supported (SPARK-58236) [datafusion-comet] via GitHub
  • Re: [I] Include days in CalendarInterval hash when Spark 4.3+ is supported (SPARK-58236) [datafusion-comet] via GitHub
• Re: [PR] feat: proto serialization for PiecewiseMergeJoinExec [datafusion] via GitHub
• Re: [PR] refactor: use arrow make_comparator for nested structural equality in arrays_overlap and array_position [2/2] [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arrow make_comparator for nested structural equality in arrays_overlap and array_position [2/2] [datafusion-comet] via GitHub
• Re: [I] Python client silently forces the static planner (pinned to ballista 54.0.0 defaults) [datafusion-ballista] via GitHub
  • Re: [I] Python client silently forces the static planner (pinned to ballista 54.0.0 defaults) [datafusion-ballista] via GitHub
  • Re: [I] Python client silently forces the static planner (pinned to ballista 54.0.0 defaults) [datafusion-ballista] via GitHub
  • Re: [I] Python client silently forces the static planner (pinned to ballista 54.0.0 defaults) [datafusion-ballista] via GitHub
• Re: [I] Investigate TPCDS Q50 regression [datafusion-comet] via GitHub
• Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion] via GitHub
  • Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion] via GitHub
  • Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion] via GitHub
  • Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion] via GitHub
• Re: [I] September 2026 DataFusion ASF Board Report [datafusion] via GitHub
  • Re: [I] September 2026 DataFusion ASF Board Report [datafusion] via GitHub
• Re: [I] [EPIC] Reduce binary size [datafusion] via GitHub
  • Re: [I] [EPIC] Reduce binary size [datafusion] via GitHub
• Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub

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