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Re: [I] map_from_entries crashes on a null array element instead of returning NULL [datafusion-comet]
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Re: [I] map_from_entries crashes on a null array element instead of returning NULL [datafusion-comet]
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Re: [PR] feat: support ASOF joins [datafusion]
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Re: [PR] feat: support ASOF joins [datafusion]
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Re: [PR] feat: support ASOF joins [datafusion]
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[PR] ci: add pinned Linux CI image recipe and offline validation [pingz-1-32-0] [datafusion-comet]
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[PR] test: cover unsorted contiguous groups in one partition [datafusion]
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Re: [PR] test: cover unsorted contiguous groups in one partition [datafusion]
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Re: [PR] test: cover unsorted contiguous groups in one partition [datafusion]
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Re: [PR] test: cover unsorted contiguous groups in one partition [datafusion]
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[PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion]
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Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion]
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Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion]
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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]
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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]
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Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion]
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[I] Cancel background batch producers before collecting final plan metrics [datafusion-comet]
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[I] Comet native broadcast fails under spark.kryo.registrationRequired=true [datafusion-comet]
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Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion]
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Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion]
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Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion]
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Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion]
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Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion]
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Re: [PR] FFI Query Planner on 54.0.0 [datafusion-python]
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Re: [PR] FFI Query Planner on 54.0.0 [datafusion-python]
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[I] Match Spark ObjectHashAggregate decimal AVG buffer semantics [datafusion-comet]
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[I] Bitwise `&` and `->` group differently in the PostgreSQL and MySQL/Generic dialects [datafusion-sqlparser-rs]
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Re: [I] Bitwise `&` and `->` group differently in the PostgreSQL and MySQL/Generic dialects [datafusion-sqlparser-rs]
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Re: [I] Bitwise `&` and `->` group differently in the PostgreSQL and MySQL/Generic dialects [datafusion-sqlparser-rs]
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Re: [I] IN LIST: handle dictionary-encoded needles once (rather than in each filter type) to reduce code size [datafusion]
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Re: [PR] test: check sql_example tables line up [datafusion]
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Re: [PR] feat: implement native native existence join support [datafusion-comet]
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[I] Extended tests seem to be failing on main [datafusion]
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Re: [I] Extended tests seem to be failing on main [datafusion]
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Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion]
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Re: [PR] feat(optimizer): logical rewrite Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion]
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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]
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Re: [I] Add AI tooling disclosure text to contributor guide and fields to PR templates [datafusion]
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Re: [I] Add AI tooling disclosure text to contributor guide and fields to PR templates [datafusion]
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Re: [I] Add AI tooling disclosure text to contributor guide and fields to PR templates [datafusion]
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Re: [I] Add AI tooling disclosure text to contributor guide and fields to PR templates [datafusion]
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[I] Match Spark ordering and rank semantics for floating values nested in arrays and structs [datafusion-comet]
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Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion]
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Re: [PR] bench(functions-aggregate): benchmark coalescing peer first_value into a struct (#23682) [datafusion]
via GitHub
Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
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Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
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Re: [PR] feat: default native replace for non-empty UTF8_BINARY literal search [datafusion-comet]
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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]
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[PR] fix: cancel background batch producers before final metrics [datafusion-comet]
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Re: [PR] fix: cancel background batch producers before final metrics [datafusion-comet]
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[I] Track provenance of fallback reasons copied through shared expression nodes [datafusion-comet]
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[I] Include days in CalendarInterval hash when Spark 4.3+ is supported (SPARK-58236) [datafusion-comet]
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Re: [I] Include days in CalendarInterval hash when Spark 4.3+ is supported (SPARK-58236) [datafusion-comet]
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Re: [PR] refactor: use arrow make_comparator for nested structural equality in arrays_overlap and array_position [2/2] [datafusion-comet]
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Re: [PR] refactor: use arrow make_comparator for nested structural equality in arrays_overlap and array_position [2/2] [datafusion-comet]
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Re: [I] Investigate TPCDS Q50 regression [datafusion-comet]
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Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion]
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Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion]
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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]
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Re: [I] September 2026 DataFusion ASF Board Report [datafusion]
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Re: [PR] feat: Support Spark Expression Encode [datafusion-comet]
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Re: [PR] fix: prevent libhdfs thread destructor use-after-free [datafusion-comet]
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Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
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Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] feat: implement native Iceberg V2 writer via iceberg-rust [datafusion-comet]
via GitHub
Re: [PR] bench: scalar functions over dictionary-encoded columns [datafusion]
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Re: [PR] feat: partial project fallback (JVM expression detour) [datafusion-comet]
via GitHub
Re: [PR] feat: run rlike natively by default for Java-equivalent literal patterns [datafusion-comet]
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Re: [PR] feat: run rlike natively by default for Java-equivalent literal patterns [datafusion-comet]
via GitHub
Re: [PR] feat: run rlike natively by default for Java-equivalent literal patterns [datafusion-comet]
via GitHub
Re: [PR] feat: run rlike natively by default for Java-equivalent literal patterns [datafusion-comet]
via GitHub
Re: [PR] feat: run rlike natively by default for Java-equivalent literal patterns [datafusion-comet]
via GitHub
Re: [PR] feat: run rlike natively by default for Java-equivalent literal patterns [datafusion-comet]
via GitHub
Re: [PR] feat: run rlike natively by default for Java-equivalent literal patterns [datafusion-comet]
via GitHub
Re: [PR] feat: native RANGE window frames with explicit offset on " DECIMAL " ORDER BY [datafusion-comet]
via GitHub
Re: [PR] feat: Runtime dynamic filter pushdown for native hash joins [datafusion-comet]
via GitHub
Re: [PR] chore: Use native impl of elt function [datafusion-comet]
via GitHub
Re: [PR] feat: Lambda function support from DataFusion, illustrated with array_filter [datafusion-comet]
via GitHub
[PR] fix(ci): validate vendored DataFusion proto [datafusion-ballista]
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Re: [PR] fix(ci): resolve datafusion.proto from datafusion-proto-models [datafusion-ballista]
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Re: [PR] fix(ci): resolve datafusion.proto from datafusion-proto-models [datafusion-ballista]
via GitHub
Re: [I] [DISCUSS] Add open table format support. [datafusion-ballista]
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Re: [I] [DISCUSS] Add open table format support. [datafusion-ballista]
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Re: [PR] feat: Implement map-to-string casting [datafusion-comet]
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Re: [PR] feat: Implement map-to-string casting [datafusion-comet]
via GitHub
Re: [PR] feat: Implement map-to-string casting [datafusion-comet]
via GitHub
Re: [PR] feat: Implement map-to-string casting [datafusion-comet]
via GitHub
Re: [PR] feat: Implement map-to-string casting [datafusion-comet]
via GitHub
Re: [PR] bench: improve Iceberg TPC workflow and plan capture [datafusion-comet]
via GitHub
Re: [PR] chore: disable ORC in Iceberg Spark tests [datafusion-comet]
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Re: [PR] chore: disable ORC in Iceberg Spark tests [datafusion-comet]
via GitHub
Re: [PR] chore: disable ORC in Iceberg Spark tests [datafusion-comet]
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Re: [PR] feat: add native distinct-combined collect_list aggregate support [datafusion-comet]
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Re: [PR] fix: experiments with large types for aggregated values [datafusion-comet]
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Re: [PR] fix: experiments with large types for aggregated values [datafusion-comet]
via GitHub
Re: [PR] feat: use aligned slice access during bulk append in SparkUnsafeArray [datafusion-comet]
via GitHub
Re: [PR] fix: surface SparkArithmeticException(DIVIDE_BY_ZERO) for divide-by-zero in dispatched ScalaUDF path [datafusion-comet]
via GitHub
Re: [PR] fix: honor target sorted flag and preserve map field metadata in cast_map_to_map [datafusion-comet]
via GitHub
[PR] feat: add Hudi read integration [datafusion-ballista]
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Re: [PR] feat: add Hudi read integration [datafusion-ballista]
via GitHub
Re: [PR] refactor: replace remaining hand-rolled loops with Arrow kernels [datafusion-comet]
via GitHub
Re: [PR] refactor: replace remaining hand-rolled loops with Arrow kernels [datafusion-comet]
via GitHub
Re: [PR] refactor: replace remaining hand-rolled loops with Arrow kernels [datafusion-comet]
via GitHub
Re: [PR] refactor: replace remaining hand-rolled loops with Arrow kernels [datafusion-comet]
via GitHub
Re: [PR] refactor: replace remaining hand-rolled loops with Arrow kernels [datafusion-comet]
via GitHub
Re: [PR] fix: `get_json_object` returns first value for duplicate keys to match Spark [datafusion-comet]
via GitHub
Re: [PR] fix: `get_json_object` returns first value for duplicate keys to match Spark [datafusion-comet]
via GitHub
Re: [PR] fix: decode invalid UTF-8 at the JVM to native FFI import boundary [datafusion-comet]
via GitHub
Re: [PR] chore(deps): bump object_store from 0.13.2 to 0.14.1 in /native [datafusion-comet]
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Re: [PR] chore(deps): bump object_store from 0.13.2 to 0.14.1 in /native [datafusion-comet]
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Re: [PR] fix: reject casts involving non-default collated strings [datafusion-comet]
via GitHub
Re: [PR] perf: build spark_size LargeList lengths from i64 offsets [datafusion-comet]
via GitHub
Re: [PR] perf: build spark_size LargeList lengths from i64 offsets [datafusion-comet]
via GitHub
Re: [PR] feat: Add trail mode config for Comet evaluation without native execution [datafusion-comet]
via GitHub
Re: [PR] feat: Add trail mode config for Comet evaluation without native execution [datafusion-comet]
via GitHub
Re: [PR] perf: optimize string contains function [datafusion-comet]
via GitHub
Re: [PR] fix: report `Input` column when native Iceberg scan is enabled or native shuffle is enabled [datafusion-comet]
via GitHub
Re: [PR] feat: full native make_interval with 2.6x faster than spark and 1.1x faster than codegen dispatch [datafusion-comet]
via GitHub
Re: [PR] feat: full native make_interval with 2.6x faster than spark and 1.1x faster than codegen dispatch [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: prevent silent overflow when reading Parquet TIMESTAMP_MILLIS values [datafusion-comet]
via GitHub
Re: [PR] fix: support Utf8/LargeUtf8/Utf8View in native RLike without panicking [datafusion-comet]
via GitHub
Re: [PR] fix: support Utf8/LargeUtf8/Utf8View in native RLike without panicking [datafusion-comet]
via GitHub
Re: [PR] fix: fall back to Spark for negative-scale decimal casts and arithmetic [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] perf: optimize levenshtein function [datafusion-comet]
via GitHub
Re: [PR] perf: optimize levenshtein function [datafusion-comet]
via GitHub
Re: [PR] fix: native ansi-errors raised as spark error [datafusion-comet]
via GitHub
Re: [PR] fix: native ansi-errors raised as spark error [datafusion-comet]
via GitHub
[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: [PR] fix: report native operator spill metrics in Spark task metrics for non-shuffle stages [datafusion-comet]
via GitHub
Re: [PR] perf: optimize list_extract without defaults using Arrow take [datafusion-comet]
via GitHub
Re: [PR] perf: optimize list_extract without defaults using Arrow take [datafusion-comet]
via GitHub
Re: [PR] refactor: centralize data type support predicates [datafusion-comet]
via GitHub
Re: [PR] refactor: centralize data type support predicates [datafusion-comet]
via GitHub
Re: [PR] refactor: centralize data type support predicates [datafusion-comet]
via GitHub
Re: [PR] refactor: centralize data type support predicates [datafusion-comet]
via GitHub
Re: [PR] fix: normalize floating-point values in native collect_set [datafusion-comet]
via GitHub
Re: [PR] fix: normalize floating-point values in native collect_set [datafusion-comet]
via GitHub
Re: [PR] feat: proto serialization for PiecewiseMergeJoinExec [datafusion]
via GitHub
Re: [PR] feat: proto serialization for PiecewiseMergeJoinExec [datafusion]
via GitHub
Re: [PR] feat: support multiply_ym_interval with YearMonth interval codegen dispatch [datafusion-comet]
via GitHub
Re: [PR] feat: support multiply_ym_interval with YearMonth interval codegen dispatch [datafusion-comet]
via GitHub
Re: [PR] feat: support ANSI interval types in native Parquet scans [datafusion-comet]
via GitHub
Re: [PR] feat: support ANSI interval types in native Parquet scans [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
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
[PR] perf: optimize JVM columnar-to-row conversion [datafusion-comet]
via GitHub
Re: [PR] fix: fall back for Parquet datetime rebasing [datafusion-comet]
via GitHub
Re: [PR] fix: fall back for Parquet datetime rebasing [datafusion-comet]
via GitHub
Re: [PR] perf: track decimal overflow without rescanning results [datafusion-comet]
via GitHub
Re: [PR] perf: track decimal overflow without rescanning results [datafusion-comet]
via GitHub
Re: [PR] fix: support CalendarIntervalType hashing [datafusion-comet]
via GitHub
Re: [PR] fix: support CalendarIntervalType hashing [datafusion-comet]
via GitHub
Re: [PR] fix: include ABFS container in object store cache key [datafusion-comet]
via GitHub
Re: [PR] fix: include ABFS container in object store cache key [datafusion-comet]
via GitHub
Re: [PR] feat: support divide_dt_interval with codegen dispatch [datafusion-comet]
via GitHub
Re: [PR] feat: support divide_dt_interval with codegen dispatch [datafusion-comet]
via GitHub
Re: [PR] fix: support null calendar interval literals [datafusion-comet]
via GitHub
Re: [PR] fix: support null calendar interval literals [datafusion-comet]
via GitHub
Re: [PR] fix: match Spark ordering in native array extrema [datafusion-comet]
via GitHub
Earlier messages
Later messages