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• • Re: [I] Consider GitHub Copilot Reviews [datafusion] via GitHub
  • Re: [I] Consider GitHub Copilot Reviews [datafusion] via GitHub
• Re: [I] Release DataFusion `53.2.0` (minor/patch) Release [datafusion] via GitHub
• [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
• [I] Ballista 53.0.0 — Unsupported data type in sort merge join comparator: Dictionary(UInt16, Utf8) [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — Unsupported data type in sort merge join comparator: Dictionary(UInt16, Utf8) [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — Unsupported data type in sort merge join comparator: Dictionary(UInt16, Utf8) [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — Unsupported data type in sort merge join comparator: Dictionary(UInt16, Utf8) [datafusion-ballista] via GitHub
• [I] Ballista 53.0.0 — Coordinator OOM Crash on TPCH SF100 [datafusion-ballista] via GitHub
• Re: [I] Attach `Diagnostic` to "invalid function argument types" error [datafusion] via GitHub
  • Re: [I] Attach `Diagnostic` to "invalid function argument types" error [datafusion] via GitHub
• [PR] chore(ci): Download aarch64 build of protoc [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Download macos aarch64 build of protoc [datafusion-ballista] via GitHub
• [PR] chore(ci): Fix the name of a CI job dependency [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Fix the name of a CI job dependency [datafusion-ballista] via GitHub
• [I] Clearly gate sliding `SUM(DISTINCT)` type support [datafusion] via GitHub
  • Re: [I] Clearly gate sliding `SUM(DISTINCT)` type support [datafusion] via GitHub
• Re: [I] Add support for Windows [datafusion-ballista] via GitHub
• [I] Centralize `approx_distinct` grouped HLL dispatch [datafusion] via GitHub
  • Re: [I] Centralize `approx_distinct` grouped HLL dispatch [datafusion] via GitHub
• [I] Centralize DataFusion SQL dialect metadata [datafusion] via GitHub
  • Re: [I] Centralize DataFusion SQL dialect metadata [datafusion] via GitHub
  • Re: [I] Centralize DataFusion SQL dialect metadata [datafusion] via GitHub
  • Re: [I] Centralize DataFusion SQL dialect metadata [datafusion] via GitHub
• [PR] Refactor post-aggregate clause rebasing and validation with shared helpers [datafusion] via GitHub
• Re: [I] Track `elapsed_compute` for `AsyncFuncExec` [datafusion] via GitHub
• Re: [I] Add DataFrame fill_nan [datafusion] via GitHub
• Re: [PR] fix: handle date_bin negative subsecond and overflow cases [datafusion] via GitHub
  • Re: [PR] fix: handle date_bin negative subsecond and overflow cases [datafusion] via GitHub
  • Re: [PR] fix: handle date_bin negative subsecond and overflow cases [datafusion] via GitHub
  • Re: [PR] fix: handle date_bin negative subsecond and overflow cases [datafusion] via GitHub
  • Re: [PR] fix: handle date_bin negative subsecond and overflow cases [datafusion] via GitHub
  • Re: [PR] fix: handle date_bin negative subsecond and overflow cases [datafusion] via GitHub
  • Re: [PR] fix: handle date_bin negative subsecond and overflow cases [datafusion] via GitHub
  • Re: [PR] fix: handle date_bin negative subsecond and overflow cases [datafusion] via GitHub
  • Re: [PR] fix: handle date_bin negative subsecond and overflow cases [datafusion] via GitHub
• Re: [PR] chore(ci): Drop Windows CI runs [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Drop Windows CI runs [datafusion-ballista] via GitHub
• [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
  • Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
  • Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
  • Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
  • Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
  • Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
  • Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
  • Re: [PR] refactor: remove `opt_filter` in `GroupsAccumulator::merge_batch` [datafusion] via GitHub
• [PR] chore(ci): Fix the Rust installer for MacOS in dependencies.yml [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Fix the Rust installer for MacOS in dependencies.yml [datafusion-ballista] via GitHub
• Re: [I] Projection pushdown on Recursive CTEs with nested subqueries [datafusion] via GitHub
• Re: [I] Optimize projections causes recursive CTEs to fail [datafusion] via GitHub
• Re: [I] support for reading data from stdin for `datafusion-cli` [datafusion] via GitHub
• Re: [I] `log(base, val)` loses precision when `value` is `Float32` [datafusion] via GitHub
  • Re: [I] `log(base, val)` loses precision when `value` is `Float32` [datafusion] via GitHub
  • Re: [I] `log(base, val)` loses precision when `value` is `Float32` [datafusion] via GitHub
• [PR] chore(deps): bump ratatui from 0.30.0 to 0.30.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump ratatui from 0.30.0 to 0.30.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump ratatui from 0.30.0 to 0.30.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump ratatui from 0.30.0 to 0.30.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump ratatui from 0.30.0 to 0.30.1 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump prost from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump prost from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump prost from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.81.1 to 2.81.8 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.81.1 to 2.81.8 [datafusion-ballista] via GitHub
• [PR] fix: approx_distinct over-counts for utf8view [datafusion] via GitHub
  • Re: [PR] fix: approx_distinct over-counts for utf8view [datafusion] via GitHub
  • Re: [PR] fix: approx_distinct over-counts for utf8view [datafusion] via GitHub
  • Re: [PR] fix: approx_distinct over-counts for utf8view [datafusion] via GitHub
  • Re: [PR] fix: approx_distinct over-counts for utf8view [datafusion] via GitHub
  • Re: [PR] fix: approx_distinct over-counts for utf8view [datafusion] via GitHub
  • Re: [PR] fix: approx_distinct over-counts for utf8view [datafusion] via GitHub
  • Re: [PR] fix: approx_distinct over-counts for utf8view [datafusion] via GitHub
  • Re: [PR] fix: approx_distinct over-counts for utf8view [datafusion] via GitHub
• [PR] test: cover nested complex casts [datafusion-comet] via GitHub
  • Re: [PR] test: cover nested complex casts [datafusion-comet] via GitHub
  • Re: [PR] test: cover nested complex casts [datafusion-comet] via GitHub
  • Re: [PR] test: cover nested complex casts [datafusion-comet] via GitHub
• Re: [PR] bench: [DO NOT MERGE] single spill file for multiple partitions [datafusion-comet] via GitHub
• Re: [PR] [datafusion-functions-aggregate]: add ordered first_last tests [datafusion] via GitHub
  • Re: [PR] [datafusion-functions-aggregate]: add ordered first_last tests [datafusion] via GitHub
• Re: [PR] add first draft of wikipedia article [datafusion] via GitHub
  • Re: [PR] add first draft of wikipedia article [datafusion] via GitHub
• Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
  • Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
• Re: [PR] Add configurable UTF8 payload profiles to string_agg benchmarks and parameterize benchmark matrix [datafusion] via GitHub
  • Re: [PR] Add configurable UTF8 payload profiles to string_agg benchmarks and parameterize benchmark matrix [datafusion] via GitHub
• [PR] Add sort tpch SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add sort tpch SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add sort tpch SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add sort tpch SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add sort tpch SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add sort tpch SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add sort tpch SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add sort tpch SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add sort tpch SQL benchmark [datafusion] via GitHub
• [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion] via GitHub
  • Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion] via GitHub
  • Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion] via GitHub
  • Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion] via GitHub
  • Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion] via GitHub
  • Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion] via GitHub
  • Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion] via GitHub
• [I] Spark `round()` on floating-point types diverges from Spark HALF_UP semantics [datafusion] via GitHub
• Re: [PR] feat: add array_sum scalar function [datafusion] via GitHub
  • Re: [PR] feat: add array_sum scalar function [datafusion] via GitHub
  • Re: [PR] feat: add array_sum scalar function [datafusion] via GitHub
  • Re: [PR] feat: add array_sum scalar function [datafusion] via GitHub
• [PR] bugfix: changed return type of spark's width_bucket to i64 [datafusion] via GitHub
• [PR] fix: NOT IN with NULL subquery returns wrong results under SortMergeJoin [datafusion] via GitHub
  • Re: [PR] fix: NOT IN with NULL subquery returns wrong results under SortMergeJoin [datafusion] via GitHub
  • Re: [PR] fix: NOT IN with NULL subquery returns wrong results under SortMergeJoin [datafusion] via GitHub
  • Re: [PR] fix: NOT IN with NULL subquery returns wrong results under SortMergeJoin [datafusion] via GitHub
• [PR] build(deps): bump github/codeql-action from 4.35.4 to 4.36.2 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump github/codeql-action from 4.35.4 to 4.36.2 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump github/codeql-action from 4.35.4 to 4.36.2 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump github/codeql-action from 4.35.4 to 4.36.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump github/codeql-action from 4.35.4 to 4.36.0 [datafusion-python] via GitHub
• [PR] build(deps): bump astral-sh/setup-uv from 8.1.0 to 8.2.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump astral-sh/setup-uv from 8.1.0 to 8.2.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump astral-sh/setup-uv from 8.1.0 to 8.2.0 [datafusion-python] via GitHub
• [PR] Add example for PartitionedFile schema [datafusion] via GitHub
  • Re: [PR] Add example for PartitionedFile schema [datafusion] via GitHub
  • Re: [PR] Add example for PartitionedFile schema [datafusion] via GitHub
  • Re: [PR] Add example for PartitionedFile schema [datafusion] via GitHub
  • Re: [PR] Add example for PartitionedFile schema [datafusion] via GitHub
• [I] For `NestedLoopJoinExec`: split probe-completion into a `ProbeEnd` state [datafusion] via GitHub
  • Re: [I] For `NestedLoopJoinExec`: split probe-completion into a `ProbeEnd` state [datafusion] via GitHub
  • Re: [I] For `NestedLoopJoinExec`: split probe-completion into a `ProbeEnd` state [datafusion] via GitHub
• [PR] add clickbench sorted SQL benchmark [datafusion] via GitHub
  • Re: [PR] add clickbench sorted SQL benchmark [datafusion] via GitHub
  • Re: [PR] add clickbench sorted SQL benchmark [datafusion] via GitHub
• Re: [PR] feat: extend interval arithmetic to support scalar functions (UDFs) [datafusion] via GitHub
  • Re: [PR] feat: extend interval arithmetic to support scalar functions (UDFs) [datafusion] via GitHub
• [I] Align `DataFrame::fill_null` column argument with `fill_nan` [datafusion] via GitHub
  • Re: [I] Align `DataFrame::fill_null` column argument with `fill_nan` [datafusion] via GitHub
  • Re: [I] Align `DataFrame::fill_null` column argument with `fill_nan` [datafusion] via GitHub
  • Re: [I] Align `DataFrame::fill_null` column argument with `fill_nan` [datafusion] via GitHub
• [PR] Add nlj SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add nlj SQL benchmark [datafusion] via GitHub
• [PR] Add clickbench extended SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add clickbench extended SQL benchmark [datafusion] via GitHub
• [PR] Feat/delta kernel read [datafusion-comet] via GitHub
  • Re: [PR] Feat/delta kernel read [datafusion-comet] via GitHub
  • Re: [PR] Feat/delta kernel read [datafusion-comet] via GitHub
• [PR] Add smj SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add smj SQL benchmark [datafusion] via GitHub
• [PR] Add hj Sql benchmark [datafusion] via GitHub
  • Re: [PR] Add hj SQL benchmark [datafusion] via GitHub
• [PR] Add tpcds SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add tpcds SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add tpcds SQL benchmark [datafusion] via GitHub
• Re: [PR] refactor: add `try_to_proto` / `try_from_proto` to `DynamicFilterPhysicalExpr` [datafusion] via GitHub
  • Re: [PR] refactor: add `try_to_proto` / `try_from_proto` to `DynamicFilterPhysicalExpr` [datafusion] via GitHub
  • Re: [PR] refactor: add `try_to_proto` / `try_from_proto` to `DynamicFilterPhysicalExpr` [datafusion] via GitHub
• Re: [PR] feat: implement native S3 write support [datafusion-comet] via GitHub
  • Re: [PR] feat: implement native S3 write support [datafusion-comet] via GitHub
• Re: [PR] fix: address escape literal issue #21516 [datafusion] via GitHub
  • Re: [PR] fix: address escape literal issue #21516 [datafusion] via GitHub
  • Re: [PR] fix: address escape literal issue #21516 [datafusion] via GitHub
• Re: [I] bug: datafusion-spark format_string %t timestamp specifiers do not match Spark behavior [datafusion] via GitHub
  • Re: [I] bug: datafusion-spark format_string %t timestamp specifiers do not match Spark behavior [datafusion] via GitHub
• Re: [I] Improve aggregation across entire dataframe [datafusion-python] via GitHub
• [I] Add support for `DataFrame.cache()` to Ballista [datafusion-ballista] via GitHub
  • Re: [I] Add support for `DataFrame.cache()` to Ballista [datafusion-ballista] via GitHub
  • Re: [I] Add support for `DataFrame.cache()` to Ballista [datafusion-ballista] via GitHub
  • Re: [I] Add support for `DataFrame.cache()` to Ballista [datafusion-ballista] via GitHub
  • Re: [I] Add support for `DataFrame.cache()` to Ballista [datafusion-ballista] via GitHub
  • Re: [I] Add support for `DataFrame.cache()` to Ballista [datafusion-ballista] via GitHub
• [PR] feat(TUI): enable different plan rendering format for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats for stages [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats [datafusion-ballista] via GitHub
  • Re: [PR] feat(TUI): enable various plan rendering formats [datafusion-ballista] via GitHub
• Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
• [PR] minor: More comments to `AggregateMode::PartialReduce` [datafusion] via GitHub
  • Re: [PR] minor: More comments to `AggregateMode::PartialReduce` [datafusion] via GitHub
• [I] Add `any_value` aggregate function [datafusion] via GitHub
  • Re: [I] Add `any_value` aggregate function [datafusion] via GitHub
• [I] Improve shuffle (column) statistics [datafusion-ballista] via GitHub
• [I] TPCDS Q72 Fails with `OffsetOverflowError(2147731589)` [datafusion-ballista] via GitHub

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