github  

Messages by Thread

• • 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
• [PR] ci: add pinned Linux CI image recipe and offline validation [pingz-1-32-0] [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
• [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
• [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
• [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] 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] 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
• [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: implement native native existence join support [datafusion-comet] 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] 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] 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
• [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] 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
• [I] Track provenance of fallback reasons copied through shared expression nodes [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] 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: [PR] feat: Support Spark Expression Encode [datafusion-comet] via GitHub
• Re: [PR] deps: [DO NOT MERGE] bump DataFusion 55.0 and Arrow/Parqet 59.2 [datafusion-comet] via GitHub
• Re: [PR] fix: prevent libhdfs thread destructor use-after-free [datafusion-comet] via GitHub
• Re: [I] Vendored datafusion.proto sync check silently passes without checking datafusion.proto [datafusion-ballista] via GitHub
  • Re: [I] Vendored datafusion.proto sync check silently passes without checking datafusion.proto [datafusion-ballista] 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] 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] via GitHub
• 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] 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: 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] via GitHub
  • Re: [PR] fix(ci): resolve datafusion.proto from datafusion-proto-models [datafusion-ballista] via GitHub
  • 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] via GitHub
  • Re: [I] [DISCUSS] Add open table format support. [datafusion-ballista] 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] 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] via GitHub
  • Re: [PR] chore: disable ORC in Iceberg Spark tests [datafusion-comet] via GitHub
  • Re: [PR] chore: disable ORC in Iceberg Spark tests [datafusion-comet] via GitHub
• Re: [PR] feat: add native distinct-combined collect_list aggregate support [datafusion-comet] via GitHub
  • Re: [PR] feat: add native distinct-combined collect_list aggregate support [datafusion-comet] via GitHub
• Re: [PR] fix: experiments with large types for aggregated values [datafusion-comet] via GitHub
  • 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] via GitHub
  • 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] via GitHub
  • Re: [PR] chore(deps): bump object_store from 0.13.2 to 0.14.1 in /native [datafusion-comet] via GitHub
• 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] 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: make wide date-to-timestamp casts safe [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] feat: full native make_interval with 2.6x faster than spark and 1.1x faster than codegen dispatch [datafusion-comet] via GitHub
• Re: [I] Release sqlparser-rs version `0.63.0` around 2026-08-31 [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Release sqlparser-rs version `0.63.0` around 2026-08-31 [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Release sqlparser-rs version `0.63.0` around 2026-08-31 [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Release sqlparser-rs version `0.63.0` around 2026-08-31 [datafusion-sqlparser-rs] via GitHub

• Earlier messages
• Later messages