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• • Re: [PR] feat: Implement FFI_QueryPlanner [datafusion] via GitHub
• [I] Extended explain operator stats miscount reuse wrappers and CometSubqueryBroadcast [datafusion-comet] via GitHub
• [PR] fix: wire up spark.comet.exceptionOnDatetimeRebase [datafusion-comet] via GitHub
  • Re: [PR] fix: fail rather than silently return unrebased datetimes from Parquet [datafusion-comet] via GitHub
  • Re: [PR] fix: fail rather than silently return unrebased datetimes from Parquet [datafusion-comet] via GitHub
  • Re: [PR] fix: fail rather than silently return unrebased datetimes from Parquet [datafusion-comet] via GitHub
• [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
• [PR] feat: report native vs codegen-dispatch expression coverage in extended explain [datafusion-comet] via GitHub
  • Re: [PR] feat: report native vs codegen-dispatch expression coverage in extended explain [datafusion-comet] via GitHub
  • Re: [PR] feat: report native vs codegen-dispatch expression coverage in extended explain [datafusion-comet] via GitHub
  • Re: [PR] feat: report native vs codegen-dispatch expression coverage in extended explain [datafusion-comet] via GitHub
  • Re: [PR] feat: report native vs codegen-dispatch expression coverage in extended explain [datafusion-comet] via GitHub
  • Re: [PR] feat: report native vs codegen-dispatch expression coverage in extended explain [datafusion-comet] via GitHub
  • Re: [PR] feat: report native vs codegen-dispatch expression coverage in extended explain [datafusion-comet] via GitHub
  • Re: [PR] feat: report native vs codegen-dispatch expression coverage in extended explain [datafusion-comet] via GitHub
• [I] Serialized native plan duplicates the full SQL text on every expression (96% of plan bytes) [datafusion-comet] via GitHub
  • Re: [I] Serialized native plan duplicates the full SQL text on every expression (96% of plan bytes) [datafusion-comet] via GitHub
  • Re: [I] Serialized native plan duplicates the full SQL text on every expression (96% of plan bytes) [datafusion-comet] via GitHub
• [I] [EPIC] Planner, serde, and optimizer rule performance audit [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Planner, serde, and optimizer rule performance audit [datafusion-comet] via GitHub
• Re: [I] Revisit the case for native columnar-to-row? [datafusion-comet] via GitHub
  • Re: [I] Revisit the case for native columnar-to-row? [datafusion-comet] via GitHub
• [I] Shuffle performance audit: candidate optimizations needing investigation [datafusion-comet] via GitHub
• Re: [I] Implement JVM UDFs for all date/time expressions [datafusion-comet] via GitHub
  • Re: [I] Implement JVM UDFs for all date/time expressions [datafusion-comet] via GitHub
• Re: [I] Config naming audit: rename inconsistent spark.comet.* keys before 1.0 [datafusion-comet] via GitHub
  • Re: [I] Config naming audit: rename inconsistent spark.comet.* keys before 1.0 [datafusion-comet] via GitHub
• [PR] refactor: rename pyarrowUdf config to pyarrowUDF and fix stale config docs [datafusion-comet] via GitHub
  • Re: [PR] refactor: rename pyarrowUdf config to pyarrowUDF and fix stale config docs [datafusion-comet] via GitHub
• Re: [I] Native panic casting to negative-scale decimal when spark.sql.legacy.allowNegativeScaleOfDecimal=true [datafusion-comet] via GitHub
• [PR] docs: add a Frequently Asked Questions page [datafusion-comet] via GitHub
  • Re: [PR] docs: add a Frequently Asked Questions page [datafusion-comet] via GitHub
  • Re: [PR] docs: add a Frequently Asked Questions page [datafusion-comet] via GitHub
  • Re: [PR] docs: add a Frequently Asked Questions page [datafusion-comet] via GitHub
• [PR] fix: prevent incorrect results when pushing filters through anti joins [datafusion] via GitHub
  • Re: [PR] fix: prevent incorrect results when pushing filters through anti joins [datafusion] via GitHub
  • Re: [PR] fix: prevent incorrect results when pushing filters through anti joins [datafusion] via GitHub
  • Re: [PR] fix: prevent incorrect results when pushing filters through anti joins [datafusion] via GitHub
  • Re: [PR] fix: prevent incorrect results when pushing filters through anti joins [datafusion] via GitHub
  • Re: [PR] fix: prevent incorrect results when pushing filters through anti joins [datafusion] via GitHub
• Re: [PR] fix: fall back to Spark for negative-scale decimal casts and arithmetic [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for negative-scale decimal casts and arithmetic [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for negative-scale decimal casts and arithmetic [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for negative-scale decimal casts and arithmetic [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for negative-scale decimal casts and arithmetic [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for negative-scale decimal casts and arithmetic [datafusion-comet] via GitHub
• Re: [I] Datetime rebase: track the documented scan limitation, and spark.comet.exceptionOnDatetimeRebase is dead code [datafusion-comet] via GitHub
  • Re: [I] Datetime rebase: track the documented scan limitation, and spark.comet.exceptionOnDatetimeRebase is dead code [datafusion-comet] via GitHub
  • Re: [I] Datetime rebase: track the documented scan limitation, and spark.comet.exceptionOnDatetimeRebase is dead code [datafusion-comet] via GitHub
• Re: [I] Triage the `spark.sql.legacy.*` configs dropped from the session-wide fallback in #4799 [datafusion-comet] via GitHub
• Re: [I] Audit Spark SQL configs that affect query semantics and ensure Comet honors them (or falls back) [datafusion-comet] via GitHub
• [I] spark.comet.exceptionOnDatetimeRebase is dead code: wire it up or remove it [datafusion-comet] via GitHub
  • Re: [I] spark.comet.exceptionOnDatetimeRebase is dead code: wire it up or remove it [datafusion-comet] via GitHub
  • Re: [I] spark.comet.exceptionOnDatetimeRebase is dead code: wire it up or remove it [datafusion-comet] via GitHub
• [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: [PR] refactor: use arrow make_comparator for nested structural equality in arrays_overlap and array_position [2/2] [datafusion-comet] via GitHub
• Re: [I] DecimalPrecision.promote uses session ANSI flag instead of per-expression eval mode [datafusion-comet] via GitHub
• Re: [I] Use arrow make_comparator for nested structural equality in arrays_overlap and array_position [datafusion-comet] via GitHub
• Re: [I] Make RowsGroupColumn single-field extraction explicit [datafusion] via GitHub
• Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support nested types (List, Struct, Map) in first_value / last_value GroupsAccumulator [datafusion] via GitHub
• [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
• Re: [PR] feat: add GroupColumn support for Interval in multi-column GROUP BY [datafusion] via GitHub
  • Re: [PR] feat: add GroupColumn support for Interval in multi-column GROUP BY [datafusion] via GitHub
• Re: [I] Support FilterExec with embedded projections in WindowTopN optimization [datafusion] via GitHub
• Re: [I] Optimize "per partition" top-k : `ROW_NUMBER < 5` / TopK [datafusion] via GitHub
  • Re: [I] Optimize "per partition" top-k : `ROW_NUMBER < 5` / TopK [datafusion] via GitHub
  • Re: [I] Optimize "per partition" top-k : `ROW_NUMBER < 5` / TopK [datafusion] via GitHub
  • Re: [I] Optimize "per partition" top-k : `ROW_NUMBER < 5` / TopK [datafusion] via GitHub
  • Re: [I] Optimize "per partition" top-k : `ROW_NUMBER < 5` / TopK [datafusion] via GitHub
  • Re: [I] Optimize "per partition" top-k : `ROW_NUMBER < 5` / TopK [datafusion] via GitHub
• Re: [I] Add StreamingWindowExec to DataFusion physical plan to support aggregations over unbounded data [datafusion] via GitHub
  • Re: [I] Add StreamingWindowExec to DataFusion physical plan to support aggregations over unbounded data [datafusion] via GitHub
• Re: [I] [EPIC] Improve window function performance (especially for large windows) [datafusion] via GitHub
  • Re: [I] [EPIC] Improve window function performance (especially for large windows) [datafusion] via GitHub
• Re: [I] Refactor window execution to enable future optimizations [datafusion] via GitHub
• Re: [I] `BoundedWindowAggExec` in `Linear` mode is slow for many-partitions [datafusion] via GitHub
  • Re: [I] `BoundedWindowAggExec` in `Linear` mode is slow for many-partitions [datafusion] via GitHub
• Re: [I] Common partition keys logic for window expressions does not take place [datafusion] via GitHub
  • Re: [I] Common partition keys logic for window expressions does not take place [datafusion] via GitHub
• Re: [I] Improved performance of RANGE window functions using Segment Trees [datafusion] via GitHub
• Re: [I] API: Partitioning::DynamicRange for runtime-discovered split points [datafusion] via GitHub
  • Re: [I] API: Partitioning::DynamicRange for runtime-discovered split points [datafusion] via GitHub
  • Re: [I] API: Partitioning::DynamicRange for runtime-discovered split points [datafusion] via GitHub
• Re: [I] Support expression based window function (value based `RANGE`) [datafusion] via GitHub
• Re: [I] draft and include a field naming guidance for window functions [datafusion] via GitHub
  • Re: [I] draft and include a field naming guidance for window functions [datafusion] via GitHub
• Re: [PR] FFI: plumb with_updated_config for FFI_ScalarUDF [datafusion] via GitHub
  • Re: [PR] FFI: plumb with_updated_config for FFI_ScalarUDF [datafusion] via GitHub
  • Re: [PR] FFI: plumb with_updated_config for FFI_ScalarUDF [datafusion] via GitHub
• Re: [I] rlike: consider arrow regexp_is_match kernel and fix non-StringArray panic [datafusion-comet] via GitHub
• [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arity helper for Int to Decimal128 reinterpretation [datafusion-comet] via GitHub
• Re: [I] Join swap in `join_selection` flips schema-level metadata, failing "Schema mismatch" [datafusion] via GitHub
• Re: [PR] fix: Improve error message for metadata conflict in schema [datafusion] via GitHub
• Re: [PR] fix: reject nested arrays in array_distance [datafusion] via GitHub
• [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [datafusion] via GitHub
  • Re: [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [datafusion] via GitHub
  • Re: [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [datafusion] via GitHub
  • Re: [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [datafusion] via GitHub
  • Re: [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [datafusion] via GitHub
  • Re: [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [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: [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
• [I] GROUP BY expression containing a placeholder does not match the same expression in the SELECT list [datafusion] via GitHub
  • Re: [I] GROUP BY expression containing a placeholder does not match the same expression in the SELECT list [datafusion] via GitHub
  • Re: [I] GROUP BY expression containing a placeholder does not match the same expression in the SELECT list [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] 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] 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] refactor: use Arrow decimal precision validation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use Arrow decimal precision validation [datafusion-comet] via GitHub
  • Re: [PR] refactor: use Arrow decimal precision validation [datafusion-comet] via GitHub
• Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
• [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `explode_outer` [datafusion-comet] via GitHub

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