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• • Re: [PR] feat: Native execution via Ballista [experimental] [datafusion-comet] via GitHub
• Re: [PR] perf: optimize `struct_to_json` (10% faster) [datafusion-comet] via GitHub
• Re: [PR] feat: implement pmod natively for all numeric types [datafusion-comet] via GitHub
• Re: [PR] docs: add upstream-comet-expression skill [datafusion-comet] via GitHub
• Re: [PR] feat: share Parquet metadata cache across tasks in an executor [datafusion-comet] via GitHub
• Re: [PR] docs: expand list of operators in user guide "supported operators" section [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] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
• Re: [PR] test: add schema scenarios and allocation measurement to isolated C2R benchmark [datafusion-comet] via GitHub
  • Re: [PR] test: add schema scenarios and allocation measurement to isolated C2R benchmark [datafusion-comet] via GitHub
• Re: [PR] docs: teach audit/review skills the recurring findings from recent reviews [WIP] [datafusion-comet] via GitHub
• Re: [I] Expose parquet row-number virtual column (RowNumber) on ParquetSource/ParquetOpener [datafusion] via GitHub
• Re: [I] datafusion-proto: logical-plan serialization overflows the stack in debug builds [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical-plan serialization overflows the stack in debug builds [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical-plan serialization overflows the stack in debug builds [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical-plan serialization overflows the stack in debug builds [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical-plan serialization overflows the stack in debug builds [datafusion] via GitHub
• [PR] fix: reject duplicate projection output names [datafusion] via GitHub
• [I] Grouped approx_distinct can overflow Arrow BinaryArray state offsets [datafusion] via GitHub
  • Re: [I] Grouped approx_distinct can overflow Arrow BinaryArray state offsets [datafusion] via GitHub
  • Re: [I] Grouped approx_distinct can overflow Arrow BinaryArray state offsets [datafusion] via GitHub
  • Re: [I] Grouped approx_distinct can overflow Arrow BinaryArray state offsets [datafusion] via GitHub
  • Re: [I] Grouped approx_distinct can overflow Arrow BinaryArray state offsets [datafusion] via GitHub
• [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
  • Re: [PR] perf: use Vec in ArrowBytesMap [datafusion] via GitHub
• Re: [I] Simplify WindowTopN by moving it before EnforceSorting [datafusion] via GitHub
  • Re: [I] Simplify WindowTopN by moving it before EnforceSorting [datafusion] via GitHub
  • Re: [I] Simplify WindowTopN by moving it before EnforceSorting [datafusion] via GitHub
  • Re: [I] Simplify WindowTopN by moving it before EnforceSorting [datafusion] via GitHub
• [PR] perf: preallocate RowsGroupColumn buffers in take_n [datafusion] via GitHub
  • Re: [PR] perf: preallocate RowsGroupColumn buffers in take_n [datafusion] via GitHub
  • Re: [PR] perf: preallocate RowsGroupColumn buffers in take_n [datafusion] via GitHub
  • Re: [PR] perf: preallocate RowsGroupColumn buffers in take_n [datafusion] via GitHub
  • Re: [PR] perf: preallocate RowsGroupColumn buffers in take_n [datafusion] via GitHub
  • Re: [PR] perf: preallocate RowsGroupColumn buffers in take_n [datafusion] via GitHub
  • Re: [PR] perf: preallocate RowsGroupColumn buffers in take_n [datafusion] via GitHub
• [PR] docs: [branch-1.0] generate release docs for 1.0.0 [datafusion-comet] via GitHub
  • Re: [PR] docs: [branch-1.0] generate release docs for 1.0.0 [datafusion-comet] via GitHub
• [PR] docs: [branch-1.0] add 1.0.0 changelog [datafusion-comet] via GitHub
  • Re: [PR] docs: [branch-1.0] add 1.0.0 changelog [datafusion-comet] via GitHub
• [PR] chore: [branch-1.0] change version from 1.0.0-SNAPSHOT to 1.0.0 [datafusion-comet] via GitHub
  • Re: [PR] chore: [branch-1.0] change version from 1.0.0-SNAPSHOT to 1.0.0 [datafusion-comet] via GitHub
• Re: [PR] fix: re-enable null-equal join dynamic filters with an IS NULL predicate [datafusion] via GitHub
  • Re: [PR] fix: re-enable null-equal join dynamic filters with an IS NULL predicate [datafusion] via GitHub
  • Re: [PR] fix: re-enable null-equal join dynamic filters with an IS NULL predicate [datafusion] via GitHub
  • Re: [PR] fix: re-enable null-equal join dynamic filters with an IS NULL predicate [datafusion] via GitHub
  • Re: [PR] fix: re-enable null-equal join dynamic filters with an IS NULL predicate [datafusion] via GitHub
• [PR] docs: document ReusedExchange caveat and both CometSparkToColumnar names in operator-count exclusions [datafusion-comet] via GitHub
  • Re: [PR] docs: document ReusedExchange caveat and both CometSparkToColumnar names in operator-count exclusions [datafusion-comet] via GitHub
• [I] `GroupedHashAggregateStream::emit` throws ArrowError: column types must match schema types [datafusion] via GitHub
• [I] Native `collect_set(struct)` aggregate crashes on spill emit [datafusion-comet] via GitHub
• [PR] chore(deps): bump cryptography from 48.0.1 to 50.0.0 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump cryptography from 48.0.1 to 50.0.0 in /python [datafusion-ballista] via GitHub
• Re: [I] [Feature] Add support iceberg table [datafusion-ballista] via GitHub
  • Re: [I] [Feature] Add support iceberg table [datafusion-ballista] via GitHub
• Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
• [I] Support non-determenistic [datafusion-comet] via GitHub
• [PR] add ExecutionPlan::dynamic_filters() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_filters() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions_produced() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions_produced() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions_produced() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions_produced() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions_produced() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions_produced() method [datafusion] via GitHub
  • Re: [PR] add ExecutionPlan::dynamic_expressions_produced() method [datafusion] via GitHub
• Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
• Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
  • Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion] via GitHub
• Re: [PR] fix: drop a deep `BinaryExpr` chain iteratively to avoid a stack overflow [datafusion] via GitHub
  • Re: [PR] fix: drop a deep `BinaryExpr` chain iteratively to avoid a stack overflow [datafusion] via GitHub
  • Re: [PR] fix: drop a deep `BinaryExpr` chain iteratively to avoid a stack overflow [datafusion] via GitHub
• [PR] perf: specialize single-column hash-join key equality check [datafusion] via GitHub
  • Re: [PR] perf: specialize single-column hash-join key equality check [datafusion] via GitHub
  • Re: [PR] perf: specialize single-column hash-join key equality check [datafusion] via GitHub
  • Re: [PR] perf: specialize single-column hash-join key equality check [datafusion] via GitHub
  • Re: [PR] perf: specialize single-column hash-join key equality check [datafusion] via GitHub
• [PR] feat: support _metadata constant columns in native Parquet scan [datafusion-comet] via GitHub
  • Re: [PR] feat: support _metadata constant columns in native Parquet scan [datafusion-comet] via GitHub
  • Re: [PR] feat: support _metadata constant columns in native Parquet scan [datafusion-comet] via GitHub
  • Re: [PR] feat: support _metadata constant columns in native Parquet scan [datafusion-comet] via GitHub
  • Re: [PR] feat: support _metadata constant columns in native Parquet scan [datafusion-comet] via GitHub
  • Re: [PR] feat: support _metadata constant columns in native Parquet scan [datafusion-comet] via GitHub
  • Re: [PR] feat: support _metadata constant columns in native Parquet scan [datafusion-comet] via GitHub
  • Re: [PR] feat: support _metadata constant columns in native Parquet scan [datafusion-comet] via GitHub
• Re: [I] Codify Iceberg version compatibility [datafusion-comet] via GitHub
• [PR] chore: introduce a broader set of workspace clippy lints [datafusion] via GitHub
  • Re: [PR] chore: introduce a broader set of workspace clippy lints [datafusion] via GitHub
  • Re: [PR] chore: introduce a broader set of workspace clippy lints [datafusion] via GitHub
  • Re: [PR] chore: introduce a broader set of workspace clippy lints [datafusion] via GitHub
  • Re: [PR] chore: introduce a broader set of workspace clippy lints [datafusion] via GitHub
  • Re: [PR] chore: introduce a broader set of workspace clippy lints [datafusion] via GitHub
  • Re: [PR] Enable more lints [datafusion] via GitHub
  • Re: [PR] Enable more lints [datafusion] via GitHub
  • Re: [PR] Enable more lints [datafusion] via GitHub
  • Re: [PR] Enable more lints [datafusion] via GitHub
  • Re: [PR] Enable more lints [datafusion] via GitHub
• [PR] refactor: replace hand-coded rollup of expression fallback reasons onto operators [datafusion-comet] via GitHub
  • Re: [PR] refactor: replace hand-coded rollup of expression fallback reasons onto operators [datafusion-comet] via GitHub
  • Re: [PR] refactor: replace hand-coded rollup of expression fallback reasons onto operators [datafusion-comet] via GitHub
  • Re: [PR] refactor: replace hand-coded rollup of expression fallback reasons onto operators [datafusion-comet] via GitHub
  • Re: [PR] refactor: replace hand-coded rollup of expression fallback reasons onto operators [datafusion-comet] via GitHub
  • Re: [PR] refactor: replace hand-coded rollup of expression fallback reasons onto operators [datafusion-comet] via GitHub
• Re: [PR] IN LIST: isolate branchless filter implementation [datafusion] via GitHub
• [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize signed zero in nested float array comparisons [datafusion-comet] via GitHub
• [I] FFI `Session::create_physical_plan` could recurse infinitely [datafusion] via GitHub
• Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
  • Re: [PR] Prefetch Parquet row groups with a bounded I/O budget [datafusion] via GitHub
• Re: [PR] feat: add a broadcast channel for job state event notifications [datafusion-ballista] via GitHub
  • Re: [PR] feat: add a broadcast channel for job state event notifications [datafusion-ballista] via GitHub
  • Re: [PR] feat: add a broadcast channel for job state event notifications [datafusion-ballista] via GitHub
• [I] AQE: coalesce and range-repartition-routing slots can co-exist on the same ExchangeExec [datafusion-ballista] via GitHub
  • Re: [I] AQE: coalesce and range-repartition-routing slots can co-exist on the same ExchangeExec [datafusion-ballista] via GitHub
• [PR] feat(functions): re-expose string builder API for concat [datafusion] via GitHub
  • Re: [PR] feat(functions): re-expose string builder API for concat [datafusion] via GitHub
  • Re: [PR] feat(functions): re-expose string builder API for concat [datafusion] via GitHub
• [PR] Use arrow dictionary casts instead of hand-rolled dictionary handling in cast paths [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arrow dictionary casts instead of hand-rolled dictionary handling in cast paths [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark semantics for dictionary-encoded Parquet inputs and reject dictionary targets [datafusion-comet] via GitHub
• Re: [I] Bug triage results: 2026-07-27 [datafusion-comet] via GitHub
• Re: [I] Bug triage results: 2026-06-29 [datafusion-comet] via GitHub
• Re: [I] Bug triage results: 2026-07-20 [datafusion-comet] via GitHub
• Re: [I] Bug triage results: 2026-07-13 [datafusion-comet] via GitHub
• Re: [I] Bug triage results: 2026-07-06 [datafusion-comet] via GitHub
• Re: [PR] perf: reuse quantile summary buffers during merge [datafusion-comet] via GitHub
  • Re: [PR] perf: reuse quantile summary buffers during merge [datafusion-comet] via GitHub
• Re: [I] Cast from boolean to decimal ignores eval mode: throws where Spark returns NULL in legacy/try mode [datafusion-comet] via GitHub
• Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista] via GitHub

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