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• • Re: [PR] Perf: Take the comparison-free fast path in the grouped first/last accumulator when input is pre-ordered [datafusion] via GitHub
  • Re: [PR] Perf: Take the comparison-free fast path in the grouped first/last accumulator when input is pre-ordered [datafusion] via GitHub
  • Re: [PR] Perf: Take the comparison-free fast path in the grouped first/last accumulator when input is pre-ordered [datafusion] via GitHub
  • Re: [PR] Perf: Take the comparison-free fast path in the grouped first/last accumulator when input is pre-ordered [datafusion] via GitHub
• [I] Substrait producer omits the required output_type on aggregate functions [datafusion] via GitHub
  • Re: [I] Substrait producer omits the required output_type on aggregate functions [datafusion] via GitHub
  • Re: [I] Substrait producer omits the required output_type on aggregate functions [datafusion] via GitHub
  • Re: [I] Substrait producer omits the required output_type on aggregate functions [datafusion] via GitHub
  • Re: [I] Substrait producer omits the required output_type on aggregate functions [datafusion] via GitHub
• [PR] chore: Fix duplicated word typos in comments and docs [datafusion] via GitHub
  • Re: [PR] chore: Fix duplicated word typos in comments and docs [datafusion] via GitHub
  • Re: [PR] chore: Fix duplicated word typos in comments and docs [datafusion] via GitHub
• [I] Make ordered aggregate spill test deterministic [datafusion] via GitHub
• [PR] chore(ci): bump taiki-e/install-action from 2.87.5 to 2.87.6 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.87.5 to 2.87.6 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump aws-config from 1.11.0 to 1.12.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump aws-config from 1.11.0 to 1.12.0 [datafusion-ballista] via GitHub
• Re: [PR] fix: Delete completed tasks' data files when an Iceberg write job fails [datafusion-comet] via GitHub
  • Re: [PR] fix: Delete completed tasks' data files when an Iceberg write job fails [datafusion-comet] via GitHub
  • Re: [PR] fix: Delete completed tasks' data files when an Iceberg write job fails [datafusion-comet] via GitHub
• Re: [PR] Refine and document AggregateExec metrics [datafusion] via GitHub
  • Re: [PR] Refine and document AggregateExec metrics [datafusion] via GitHub
• Re: [PR] fix: decode invalid UTF-8 at the JVM to native FFI import boundary [datafusion-comet] via GitHub
• [I] Share one helper for pushing a struct's null mask into its children [datafusion-comet] via GitHub
  • Re: [I] Share one helper for pushing a struct's null mask into its children [datafusion-comet] via GitHub
  • Re: [I] Share one helper for pushing a struct's null mask into its children [datafusion-comet] via GitHub
  • Re: [I] Share one helper for pushing a struct's null mask into its children [datafusion-comet] via GitHub
  • Re: [I] Share one helper for pushing a struct's null mask into its children [datafusion-comet] via GitHub
• Re: [PR] feat: execute concat_ws with array arguments natively [datafusion-comet] via GitHub
• Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
• Re: [PR] fix: apply single_distinct_to_groupby to aliased DataFrame API aggregates [datafusion] via GitHub
• Re: [PR] fix: infer LIMIT and OFFSET placeholder parameter types [datafusion] via GitHub
• Re: [PR] perf(sort): passthrough last stream that left in `SortPreservingMergeStream` [datafusion] via GitHub
• Re: [PR] perf(sort): fast path for full batch when it sorts before all other streams in `SortPreservingMergeStream` [datafusion] via GitHub
• Re: [PR] Add datafusion-cli features to allow cloud support to be omitted [datafusion] via GitHub
• [PR] fix: accept empty flags in regexp_like and regexp_match [datafusion] via GitHub
  • Re: [PR] fix: accept empty flags in regexp_like and regexp_match [datafusion] via GitHub
  • Re: [PR] fix: accept empty flags in regexp_like and regexp_match [datafusion] via GitHub
  • Re: [PR] fix: accept empty flags in regexp_like and regexp_match [datafusion] via GitHub
  • Re: [PR] fix: accept empty flags in regexp_like and regexp_match [datafusion] via GitHub
• Re: [I] Split the native `core` crate into focused per-concern crates (planner, expressions, readers, writers, storage, operators, shuffle, jni, proto, common) [datafusion-comet] via GitHub
  • Re: [I] Split the native `core` crate into focused per-concern crates (planner, expressions, readers, writers, storage, operators, shuffle, jni, proto, common) [datafusion-comet] via GitHub
• [PR] Bench datetime funcs [datafusion-comet] via GitHub
  • Re: [PR] chore: Add benches for datetime funcs [datafusion-comet] via GitHub
  • Re: [PR] chore: Add benches for datetime funcs [datafusion-comet] via GitHub
• [PR] fix: reject unsupported Substrait aggregation phases [datafusion] via GitHub
  • Re: [PR] fix: reject unsupported Substrait aggregation phases [datafusion] via GitHub
  • Re: [PR] fix: reject unsupported Substrait aggregation phases [datafusion] via GitHub
• [PR] refactor: separate compact IN-list pruning threshold from the default… [datafusion] via GitHub
  • Re: [PR] refactor: separate compact IN-list pruning threshold from the default… [datafusion] via GitHub
• [I] Substrait decimal arithmetic derives return types that differ from the referenced functions [datafusion] via GitHub
  • Re: [I] Substrait decimal arithmetic derives return types that differ from the referenced functions [datafusion] via GitHub
• [I] Substrait intersection schemas retain primary-input nullability [datafusion] via GitHub
  • Re: [I] Substrait intersection schemas retain primary-input nullability [datafusion] via GitHub
  • Re: [I] Substrait intersection schemas retain primary-input nullability [datafusion] via GitHub
• [PR] feat(history): replace the timer-based rescan with a filesystem watch [datafusion-ballista] via GitHub
  • Re: [PR] feat(history): replace the timer-based rescan with a filesystem watch [datafusion-ballista] via GitHub
  • Re: [PR] feat(history): replace the timer-based rescan with a filesystem watch [datafusion-ballista] via GitHub
  • Re: [PR] feat(history): replace the timer-based rescan with a filesystem watch [datafusion-ballista] via GitHub
• [PR] Adamg/expr null fix [datafusion] via GitHub
  • Re: [PR] fix(optimizer): Take full expression nullability into account for join key nullability [datafusion] via GitHub
• Re: [I] EXPLAIN DELETE and EXPLAIN UPDATE execute the statement on an in-memory table [datafusion] via GitHub
• [PR] feat: address remaining issues for `CreateArray` [datafusion-comet] via GitHub
  • Re: [PR] feat: address remaining issues for `CreateArray` [datafusion-comet] via GitHub
  • Re: [PR] feat: address remaining issues for `CreateArray` [datafusion-comet] via GitHub
  • Re: [PR] feat: address remaining issues for `CreateArray` [datafusion-comet] via GitHub
  • Re: [PR] feat: address remaining issues for `CreateArray` [datafusion-comet] via GitHub
  • Re: [PR] feat: address remaining issues for `CreateArray` [datafusion-comet] via GitHub
• [PR] feat: shuffle-affinity task distribution policy [datafusion-ballista] via GitHub
  • Re: [PR] feat: shuffle-affinity task distribution policy [datafusion-ballista] via GitHub
• [PR] fix: honor max_row_group_bytes in the parallel Parquet writer [datafusion] via GitHub
  • Re: [PR] fix: honor max_row_group_bytes in the parallel Parquet writer [datafusion] via GitHub
• Re: [PR] feat(sql): expose CTE scope to relation planners [datafusion] via GitHub
• Re: [PR] fix: output_bytes metric in hash aggregation [datafusion] via GitHub
  • Re: [PR] fix: output_bytes metric in hash aggregation [datafusion] via GitHub
• Re: [PR] feat: Lambda function support from DataFusion, illustrated with array_filter [datafusion-comet] via GitHub
• Re: [I] [EPIC] Reduce binary size [datafusion] via GitHub
  • Re: [I] [EPIC] Reduce binary size [datafusion] via GitHub
  • Re: [I] [EPIC] Reduce binary size [datafusion] via GitHub
  • Re: [I] [EPIC] Reduce binary size [datafusion] via GitHub
• Re: [PR] fix: reject casts involving non-default collated strings [datafusion-comet] via GitHub
• Re: [PR] Double Star and Helix [datafusion] via GitHub
• Re: [PR] bench: scalar functions over dictionary-encoded columns [datafusion] via GitHub
  • Re: [PR] bench: scalar functions over dictionary-encoded columns [datafusion] via GitHub
• Re: [PR] fix(catalog): apply a MemTable DELETE or UPDATE when the plan runs [datafusion] via GitHub
• [PR] bench: add a benchmark for the Spark hash kernels [datafusion-comet] via GitHub
  • Re: [PR] bench: add a benchmark for the Spark hash kernels [datafusion-comet] via GitHub
  • Re: [PR] bench: add a benchmark for the Spark hash kernels [datafusion-comet] via GitHub
  • Re: [PR] bench: add a benchmark for the Spark hash kernels [datafusion-comet] via GitHub
  • Re: [PR] bench: add a benchmark for the Spark hash kernels [datafusion-comet] via GitHub
• Re: [PR] feat: add native support for MergeRowsExec (row-level MERGE INTO) [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for MergeRowsExec (row-level MERGE INTO) [datafusion-comet] via GitHub
• [PR] fix: apply MemTable DELETE and UPDATE at execution, not planning [datafusion] via GitHub
  • Re: [PR] fix: apply MemTable DELETE and UPDATE at execution, not planning [datafusion] via GitHub
  • Re: [PR] fix: apply MemTable DELETE and UPDATE at execution, not planning [datafusion] via GitHub
  • Re: [PR] fix: apply MemTable DELETE and UPDATE at execution, not planning [datafusion] via GitHub
• Re: [I] Destructure proto hooks for the JSON source and sink [datafusion] via GitHub
• [PR] fix: reject invalid placeholders in CREATE FUNCTION bodies at definition time [datafusion] via GitHub
  • Re: [PR] fix: reject invalid placeholders in CREATE FUNCTION bodies at definition time [datafusion] via GitHub
  • Re: [PR] fix: reject invalid placeholders in CREATE FUNCTION bodies at definition time [datafusion] via GitHub
  • Re: [PR] fix: reject invalid placeholders in CREATE FUNCTION bodies at definition time [datafusion] via GitHub
  • Re: [PR] fix: reject invalid placeholders in CREATE FUNCTION bodies at definition time [datafusion] via GitHub
• [I] CREATE FUNCTION accepts placeholders that don't match a declared argument; the error is deferred to call time [datafusion] via GitHub
  • Re: [I] CREATE FUNCTION accepts placeholders that don't match a declared argument; the error is deferred to call time [datafusion] via GitHub
• [PR] fix(benchmarks): validate predicate_eval results [datafusion] via GitHub
  • Re: [PR] fix(benchmarks): validate predicate_eval results [datafusion] via GitHub
  • Re: [PR] fix(benchmarks): validate predicate_eval results [datafusion] via GitHub
• Re: [PR] perf: classify string-to-timestamp shapes in one byte scan (up to 5.6x faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: classify string-to-timestamp shapes in one byte scan (up to 5.6x faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: classify string-to-timestamp shapes in one byte scan (up to 5.6x faster) [datafusion-comet] via GitHub
• [I] `AND` chain pre-selection tests its threshold against the accumulated prefix, not the next conjunct [datafusion] via GitHub
  • Re: [I] `AND` chain pre-selection tests its threshold against the accumulated prefix, not the next conjunct [datafusion] via GitHub
  • Re: [I] `AND` chain pre-selection tests its threshold against the accumulated prefix, not the next conjunct [datafusion] via GitHub
• [PR] fix: preserve binary expression overflow policy in protobuf [datafusion] via GitHub
  • Re: [PR] fix: preserve binary expression overflow policy in protobuf [datafusion] via GitHub
  • Re: [PR] fix: preserve binary expression overflow policy in protobuf [datafusion] via GitHub
• [I] Enable placement on more `scalar_fn`s to allow lowering and pushdown to `TableScan`s [datafusion] via GitHub
• [PR] bench(predicate_eval): add expensive-first and wide-column shapes [datafusion] via GitHub
  • Re: [PR] bench(predicate_eval): add expensive-first and wide-column shapes [datafusion] via GitHub
  • Re: [PR] bench(predicate_eval): add expensive-first and wide-column shapes [datafusion] via GitHub
  • Re: [PR] bench(predicate_eval): add expensive-first and wide-column shapes [datafusion] via GitHub
  • Re: [PR] bench(predicate_eval): add expensive-first and wide-column shapes [datafusion] via GitHub
  • Re: [PR] bench(predicate_eval): add expensive-first and wide-column shapes [datafusion] via GitHub
  • Re: [PR] bench(predicate_eval): add expensive-first and wide-column shapes [datafusion] via GitHub
  • Re: [PR] bench(predicate_eval): add expensive-first and wide-column shapes [datafusion] via GitHub
• Re: [PR] feat: support PivotFirst aggregate for the optimized PIVOT fast path [datafusion-comet] via GitHub
  • Re: [PR] feat: support PivotFirst aggregate for the optimized PIVOT fast path [datafusion-comet] via GitHub
• [I] Avoid evaluating later ORDER BY keys when earlier keys are enough [datafusion] via GitHub
• [PR] Feat/5579 padding codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] Feat/5579 padding codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: enable codegen dispatch for `lpad` and `rpad` [datafusion-comet] via GitHub
  • Re: [PR] feat: enable codegen dispatch for `lpad` and `rpad` [datafusion-comet] via GitHub
  • Re: [PR] feat: enable codegen dispatch for `lpad` and `rpad` [datafusion-comet] via GitHub
• Re: [I] Incorrect filtering results when `collect_statistics = true` and column statistics are partially disabled [datafusion] via GitHub
• Re: [PR] feat: support kurtosis aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: support kurtosis aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: support kurtosis aggregate [datafusion-comet] via GitHub
• [I] Benchmark queries are duplicated across three trees with nothing checking that the copies agree [datafusion] via GitHub
  • Re: [I] Benchmark queries are duplicated across three trees with nothing checking that the copies agree [datafusion] via GitHub
• Re: [PR] feat: support native aggregate function `mode` [datafusion-comet] via GitHub
  • Re: [PR] feat: support native aggregate function `mode` [datafusion-comet] via GitHub
  • Re: [PR] feat: support native aggregate function `mode` [datafusion-comet] via GitHub
  • Re: [PR] feat: support native aggregate function `mode` [datafusion-comet] via GitHub
  • Re: [PR] feat: support native aggregate function `mode` [datafusion-comet] via GitHub
• Re: [PR] perf: compact inputs for grouped aggregate filter [datafusion] via GitHub
  • Re: [PR] perf: compact inputs for grouped aggregate filter [datafusion] via GitHub
  • Re: [PR] perf: compact inputs for grouped aggregate filter [datafusion] via GitHub
  • Re: [PR] perf: compact inputs for grouped aggregate filter [datafusion] via GitHub
• Re: [PR] feat: support Spark encode expression via codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support Spark encode expression via codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support Spark encode expression via codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support Spark encode expression via codegen dispatch [datafusion-comet] via GitHub
• [PR] bench: discover ClickBench query files in sql_planner instead of hardcoding ranges [datafusion] via GitHub
  • Re: [PR] bench: discover ClickBench query files in sql_planner instead of hardcoding ranges [datafusion] via GitHub
  • Re: [PR] bench: discover ClickBench query files in sql_planner instead of hardcoding ranges [datafusion] via GitHub
  • Re: [PR] bench: discover ClickBench query files in sql_planner instead of hardcoding ranges [datafusion] via GitHub
  • Re: [PR] bench: discover ClickBench query files in sql_planner instead of hardcoding ranges [datafusion] via GitHub
  • Re: [PR] bench: discover ClickBench query files in sql_planner instead of hardcoding ranges [datafusion] via GitHub
• [PR] feat: push dynamic filters through nested loop joins [datafusion] via GitHub
  • Re: [PR] feat: push dynamic filters through nested loop joins [datafusion] via GitHub
• Re: [PR] bug: Prevent exec hang when task decode fails [datafusion-ballista] via GitHub
  • Re: [PR] bug: Prevent exec hang when task decode fails [datafusion-ballista] via GitHub
  • Re: [PR] bug: Prevent exec hang when task decode fails [datafusion-ballista] via GitHub
  • Re: [PR] bug: Prevent exec hang when task decode fails [datafusion-ballista] via GitHub
• Re: [PR] fix: check for key retriever in Parquet decryption properties conversion [datafusion] via GitHub
  • Re: [PR] fix: check for key retriever in Parquet decryption properties conversion [datafusion] via GitHub
  • Re: [PR] fix: check for key retriever in Parquet decryption properties conversion [datafusion] via GitHub
  • Re: [PR] fix: check for key retriever in Parquet decryption properties conversion [datafusion] via GitHub
  • Re: [PR] fix: check for key retriever in Parquet decryption properties conversion [datafusion] via GitHub
• Re: [PR] chore(ci): run cargo machete to catch unused dependencies [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): run cargo machete to catch unused dependencies [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): run cargo machete to catch unused dependencies [datafusion-ballista] via GitHub
• Re: [I] Destructure proto hooks for the CSV sink [datafusion] via GitHub
  • Re: [I] Destructure proto hooks for the CSV sink [datafusion] via GitHub
  • Re: [I] Destructure proto hooks for the CSV sink [datafusion] via GitHub
• Re: [I] Destructure proto hooks for leaf and unary physical expressions [datafusion] via GitHub
• Re: [I] Destructure proto hooks for sort expressions and partitioning [datafusion] via GitHub
  • Re: [I] Destructure proto hooks for sort expressions and partitioning [datafusion] via GitHub
  • Re: [I] Destructure proto hooks for sort expressions and partitioning [datafusion] via GitHub
• Re: [PR] fix: match Spark ordering in native array extrema [datafusion-comet] via GitHub
• Re: [PR] docs: document DELETE and UPDATE for SQL users and table provider authors [datafusion] via GitHub
  • Re: [PR] docs: document DELETE and UPDATE for SQL users and table provider authors [datafusion] via GitHub
• Re: [I] Destructure proto hooks for cast physical expressions [datafusion] via GitHub
  • Re: [I] Destructure proto hooks for cast physical expressions [datafusion] via GitHub
• Re: [I] Destructure proto hooks for dynamic filter and scalar subquery expressions [datafusion] via GitHub
• Re: [I] Destructure proto hooks for binary and pattern physical expressions [datafusion] via GitHub
  • Re: [I] Destructure proto hooks for binary and pattern physical expressions [datafusion] via GitHub
• Re: [I] Allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
  • Re: [I] Allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
• Re: [PR] test: add regression coverage for terminal hash aggregate drain [datafusion] via GitHub
  • Re: [PR] test: add regression coverage for terminal hash aggregate drain [datafusion] via GitHub
  • Re: [PR] test: add regression coverage for terminal hash aggregate drain [datafusion] via GitHub
  • Re: [PR] test: add regression coverage for terminal hash aggregate drain [datafusion] via GitHub
• [PR] perf: emit unmatched build rows in batch_size chunks in HashJoinExec [datafusion] via GitHub
  • Re: [PR] perf: emit unmatched build rows in batch_size chunks in HashJoinExec [datafusion] via GitHub
  • Re: [PR] perf: emit unmatched build rows in batch_size chunks in HashJoinExec [datafusion] via GitHub
  • Re: [PR] perf: emit unmatched build rows in batch_size chunks in HashJoinExec [datafusion] via GitHub
  • Re: [PR] perf: emit unmatched build rows in batch_size chunks in HashJoinExec [datafusion] via GitHub
• Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub

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