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• Re: [PR] Refactor percentile UDFs to use TypeSignature API [datafusion] via GitHub
• Re: [PR] Perf: Window topn optimisation [datafusion] via GitHub
  • Re: [PR] Perf: Window topn optimisation [datafusion] via GitHub
  • Re: [PR] Perf: Window topn optimisation [datafusion] via GitHub
• [PR] fix: SortMergeJoin full outer join incorrectly matches rows when filter evaluates to NULL [datafusion] via GitHub
  • Re: [PR] fix: SortMergeJoin full outer join incorrectly matches rows when filter evaluates to NULL [datafusion] via GitHub
  • Re: [PR] fix: SortMergeJoin full outer join incorrectly matches rows when filter evaluates to NULL [datafusion] via GitHub
• [PR] fix: Revert DPP fallback change from branch-0.14 [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-0.14] Revert DPP fallback change [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-0.14] Revert DPP fallback change [datafusion-comet] via GitHub
• [PR] fix: wrap Comet execution errors to prevent Spark from obscuring them [datafusion-comet] via GitHub
  • Re: [PR] fix: log Comet execution errors before Spark can obscure them [datafusion-comet] via GitHub
• [PR] feat: support `collect_set` WIP [datafusion-comet] via GitHub
  • Re: [PR] feat: support `collect_set` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `collect_set` [datafusion-comet] via GitHub
  • Re: [PR] feat: support `collect_set` [datafusion-comet] via GitHub
• [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
  • Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
  • Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
• Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
  • Re: [PR] feat: enable external reclaim for mem spillable df operators [datafusion] via GitHub
• [I] Support `array_sort` builtin function [datafusion-comet] via GitHub
  • Re: [I] Support `sort_array` builtin function [datafusion-comet] via GitHub
• [PR] chore: Add tests with `GROUP BY` to `collect.slt` [datafusion] via GitHub
  • Re: [PR] chore: Add more tests with `GROUP BY` to test spark `collect_set` [datafusion] via GitHub
  • Re: [PR] chore: Add more tests with `GROUP BY` to test spark `collect_set` [datafusion] via GitHub
  • Re: [PR] chore: Add more tests with `GROUP BY` to test spark `collect_set` [datafusion] via GitHub
• [PR] fix: fix decimal div and add tests [datafusion-comet] via GitHub
  • Re: [PR] fix: fix decimal div and add tests [datafusion-comet] via GitHub
  • Re: [PR] fix: fix decimal div and add tests [datafusion-comet] via GitHub
  • Re: [PR] fix: fix decimal div and add tests [datafusion-comet] via GitHub
  • Re: [PR] fix: fix decimal div and add tests [datafusion-comet] via GitHub
• [PR] fix: suppress nondeterministic metrics in agg_dyn_e2e sqllogictest [datafusion] via GitHub
  • Re: [PR] fix: suppress nondeterministic metrics in agg_dyn_e2e sqllogictest [datafusion] via GitHub
  • Re: [PR] fix: suppress nondeterministic metrics in agg_dyn_e2e sqllogictest [datafusion] via GitHub
  • Re: [PR] fix: suppress nondeterministic metrics in agg_dyn_e2e sqllogictest [datafusion] via GitHub
  • Re: [PR] fix: suppress nondeterministic metrics in agg_dyn_e2e sqllogictest [datafusion] via GitHub
• [PR] chore: breakdown `array.slt` into smaller files [datafusion] via GitHub
  • Re: [PR] chore: breakdown `array.slt` into smaller files [datafusion] via GitHub
  • Re: [PR] chore: breakdown `array.slt` into smaller files [datafusion] via GitHub
• Re: [PR] Reapply "Fix/support duplicate column names" [datafusion] via GitHub
• [I] Support `collect_set` built in function [datafusion-comet] via GitHub
  • Re: [I] Support `collect_set` built in function [datafusion-comet] via GitHub
  • Re: [I] Support `collect_set` built in function [datafusion-comet] via GitHub
• [PR] pin apache/infrastructure-actions/pelican to 93dfe4693bc118397840e7e4ae447e57a3eea7ee [datafusion-site] via GitHub
  • Re: [PR] pin apache/infrastructure-actions/pelican to 93dfe4693bc118397840e7e4ae447e57a3eea7ee [datafusion-site] via GitHub
  • Re: [PR] pin apache/infrastructure-actions/pelican to 93dfe4693bc118397840e7e4ae447e57a3eea7ee [datafusion-site] via GitHub
  • Re: [PR] pin apache/infrastructure-actions/pelican to 93dfe4693bc118397840e7e4ae447e57a3eea7ee [datafusion-site] via GitHub
  • Re: [PR] pin apache/infrastructure-actions/pelican to 93dfe4693bc118397840e7e4ae447e57a3eea7ee [datafusion-site] via GitHub
• Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
  • Re: [PR] Add configurable UNION DISTINCT to FILTER rewrite optimization [datafusion] via GitHub
• [I] Dependencies CI check is failing on main [datafusion] via GitHub
  • Re: [I] Dependencies CI check is failing on main [datafusion] via GitHub
• Re: [I] fuzz test failure: `corr` null vs Nan [datafusion-comet] via GitHub
• [PR] chore: fix cargo audit on main [datafusion] via GitHub
  • Re: [PR] chore: fix cargo audit and dependencies check on main [datafusion] via GitHub
  • Re: [PR] chore: fix cargo audit and dependencies check on main [datafusion] via GitHub
  • Re: [PR] chore: fix cargo audit and dependencies check on main [datafusion] via GitHub
  • Re: [PR] chore: fix cargo audit and dependencies check on main [datafusion] via GitHub
  • Re: [PR] chore: fix cargo audit and dependencies check on main [datafusion] via GitHub
  • Re: [PR] chore: fix cargo audit and dependencies check on main [datafusion] via GitHub
• Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
  • Re: [PR] feat: move shuffle writer disk I/O off tokio worker threads [datafusion-ballista] via GitHub
• Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
• [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
  • Re: [PR] Use NDV estimate to pre-allocate hash tables during aggregation [datafusion] via GitHub
• [I] Add support for Spark SQL dialect [datafusion] via GitHub
  • Re: [I] Add support for Spark SQL dialect [datafusion] via GitHub
• [I] cargo audit is failing on main [datafusion] via GitHub
  • Re: [I] cargo audit is failing on main [datafusion] via GitHub
• Re: [PR] Remove `as_any` on the `PhysicalExpr` trait [datafusion] via GitHub
  • Re: [PR] Remove `as_any` on the `PhysicalExpr` trait [datafusion] via GitHub
  • Re: [PR] Remove `as_any` on the `PhysicalExpr` trait [datafusion] via GitHub
• [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
  • Re: [PR] Resolve MIN/MAX from Parquet metadata for Single-mode aggregates and CAST projections [datafusion] via GitHub
• [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
  • Re: [I] [DISCUSS] Representing Shared State / `ExecutionPlan::reset_state` [datafusion] via GitHub
• Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
• Re: [PR] perf: optimise `first_value`, `last_value` aggregate function [datafusion] via GitHub
  • Re: [PR] perf: optimise `first_value`, `last_value` aggregate function [datafusion] via GitHub
  • Re: [PR] perf: optimise `first_value`, `last_value` aggregate function [datafusion] via GitHub
  • Re: [PR] perf: optimise `first_value`, `last_value` aggregate function [datafusion] via GitHub
  • Re: [PR] perf: optimise `first_value`, `last_value` aggregate function [datafusion] via GitHub
• Re: [PR] feat: add PySpark validation script for datafusion-spark .slt tests [datafusion] via GitHub
• [PR] Refactor InListExpr to use modular StaticFilter architecture [datafusion] via GitHub
  • Re: [PR] Refactor InListExpr to use modular StaticFilter architecture [datafusion] via GitHub
  • Re: [PR] Refactor InListExpr to use modular StaticFilter architecture [datafusion] via GitHub
  • Re: [PR] Refactor InListExpr to use modular StaticFilter architecture [datafusion] via GitHub
  • Re: [PR] Refactor InListExpr to use modular StaticFilter architecture [datafusion] via GitHub
  • Re: [PR] Refactor InListExpr to use modular StaticFilter architecture [datafusion] via GitHub
  • Re: [PR] Refactor InListExpr into static-filter modules [datafusion] via GitHub

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