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• • Re: [PR] FFI: return underlying trait type when converting from FFI structs [datafusion] via GitHub
  • Re: [PR] FFI: return underlying trait type when converting from FFI structs [datafusion] via GitHub
  • Re: [PR] FFI: return underlying trait type when converting from FFI structs [datafusion] via GitHub
  • Re: [PR] FFI: return underlying trait type when converting from FFI structs [datafusion] via GitHub
  • Re: [PR] FFI: return underlying trait type when converting from FFI structs [datafusion] via GitHub
• Re: [I] TPC-DS query 72 slow on modest (10) scale factors [datafusion] via GitHub
  • Re: [I] TPC-DS query 72 slow on modest (10) scale factors [datafusion] via GitHub
  • Re: [I] TPC-DS query 72 slow on modest (10) scale factors [datafusion] via GitHub
  • Re: [I] TPC-DS query 72 slow on modest (10) scale factors [datafusion] via GitHub
  • Re: [I] TPC-DS query 72 slow on modest (10) scale factors [datafusion] via GitHub
  • Re: [I] TPC-DS query 72 slow on modest (10) scale factors [datafusion] via GitHub
  • Re: [I] TPC-DS query 72 slow on modest (10) scale factors [datafusion] via GitHub
  • Re: [I] TPC-DS query 72 slow on modest (10) scale factors [datafusion] via GitHub
  • Re: [I] TPC-DS query 72 slow on modest (10) scale factors [datafusion] via GitHub
• [I] Roundrobin repartition skews to left-side partitions [datafusion] via GitHub
  • Re: [I] Roundrobin repartition skews to left-side partitions [datafusion] via GitHub
• Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
• [I] Deprecate `AggregateUDFImpl::is_nullable` in favour of `return_field` [datafusion] via GitHub
  • Re: [I] Deprecate `AggregateUDFImpl::is_nullable` in favour of `return_field` [datafusion] via GitHub
• Re: [D] DISCUSSION: DataFusion Meetup in Denver, CO USA [datafusion] via GitHub
• Re: [I] Display sort order in Hash Repartition [datafusion] via GitHub
• Re: [I] [Tracking] Rollout of new lint `clippy::needless_pass_by_value` in all datafusion crates [datafusion] via GitHub
  • Re: [I] [Tracking] Rollout of new lint `clippy::needless_pass_by_value` in all datafusion crates [datafusion] via GitHub
• Re: [I] Stricter `Clippy` checks in CI [datafusion] via GitHub
• [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
• [PR] Avoid repartition skew [datafusion] via GitHub
  • Re: [PR] Avoid repartition skew [datafusion] via GitHub
  • Re: [PR] Avoid repartition skew [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
• [PR] feat: add `array_slice` benchmark [datafusion] via GitHub
  • Re: [PR] feat: add `array_slice` benchmark [datafusion] via GitHub
  • Re: [PR] feat: add `array_slice` benchmark [datafusion] via GitHub
  • Re: [PR] feat: add `array_slice` benchmark [datafusion] via GitHub
• Re: [I] Fast scalar path for array_slice [datafusion] via GitHub
  • Re: [I] Fast scalar path for array_slice [datafusion] via GitHub
  • Re: [I] Fast scalar path for array_slice [datafusion] via GitHub
  • Re: [I] Fast scalar path for array_slice [datafusion] via GitHub
• Re: [I] Show runtime config [datafusion] via GitHub
• Re: [PR] Attach a span to most common errors describing the problematic token [datafusion-sqlparser-rs] via GitHub
• Re: [I] Limited Inline Comment Support in AST [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Limited Inline Comment Support in AST [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Limited Inline Comment Support in AST [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Limited Inline Comment Support in AST [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Limited Inline Comment Support in AST [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Limited Inline Comment Support in AST [datafusion-sqlparser-rs] via GitHub
• [I] Improve error message in `sqllogictest` with `<slt:ignore>` marker [datafusion] via GitHub
  • Re: [I] Improve error message in `sqllogictest` with `<slt:ignore>` marker [datafusion] via GitHub
  • Re: [I] Improve error message in `sqllogictest` with `<slt:ignore>` marker [datafusion] via GitHub
  • Re: [I] Improve error message in `sqllogictest` with `<slt:ignore>` marker [datafusion] via GitHub
• [PR] Limit visibility of internal impl functions in function crates [datafusion] via GitHub
  • Re: [PR] Limit visibility of internal impl functions in function crates [datafusion] via GitHub
  • Re: [PR] Limit visibility of internal impl functions in function crates [datafusion] via GitHub
  • Re: [PR] Limit visibility of internal impl functions in function crates [datafusion] via GitHub
• [PR] chore: fix CI on main [datafusion] via GitHub
  • Re: [PR] chore: fix CI on main [datafusion] via GitHub
  • Re: [PR] chore: fix CI on main [datafusion] via GitHub
• Re: [I] Enforce lint rule `clippy::needless_pass_by_value` to `datafusion-functions` [datafusion] via GitHub
• [PR] fix: Fall back to Spark for MakeDecimal with unsupported input type [datafusion-comet] via GitHub
  • Re: [PR] fix: Fall back to Spark for MakeDecimal with unsupported input type [datafusion-comet] via GitHub
  • Re: [PR] fix: Fall back to Spark for MakeDecimal with unsupported input type [datafusion-comet] via GitHub
  • Re: [PR] fix: Fall back to Spark for MakeDecimal with unsupported input type [datafusion-comet] via GitHub
• [PR] Use `BatchCoaleser` in Sort Merge Join, new benchmarks [datafusion] via GitHub
  • Re: [PR] Use `BatchCoaleser` in Sort Merge Join, new benchmarks [datafusion] via GitHub
  • Re: [PR] Use `BatchCoaleser` in Sort Merge Join, new benchmarks [datafusion] via GitHub
  • Re: [PR] Use `BatchCoaleser` in Sort Merge Join, new benchmarks [datafusion] via GitHub
• [I] Respect Spark compression settings in native Parquet writer [datafusion-comet] via GitHub
• Re: [PR] Prefetch Row Groups using `next_reader` API in parquet-rs [datafusion] via GitHub
  • Re: [PR] Prefetch Row Groups using `next_reader` API in parquet-rs [datafusion] via GitHub
  • Re: [PR] Prefetch Row Groups using `next_reader` API in parquet-rs [datafusion] via GitHub
  • Re: [PR] Prefetch Row Groups using `next_reader` API in parquet-rs [datafusion] via GitHub
  • Re: [PR] Prefetch Row Groups using `next_reader` API in parquet-rs [datafusion] via GitHub
  • Re: [PR] Prefetch Row Groups using `next_reader` API in parquet-rs [datafusion] via GitHub
  • Re: [PR] Prefetch Row Groups using `next_reader` API in parquet-rs [datafusion] via GitHub
  • Re: [PR] Prefetch Row Groups using `next_reader` API in parquet-rs [datafusion] via GitHub
• [I] bug: Comet crashes on DataFrame API [datafusion-comet] via GitHub
• [PR] TEST: enable pushdown_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters and reorder_filters by default [datafusion] via GitHub
  • [PR] TEST: enable pushdown_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters by default [datafusion] via GitHub
  • Re: [PR] TEST: enable pushdown_filters by default [datafusion] via GitHub
• [PR] feat: Add experimental support for native Parquet writes [WIP] [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [WIP] [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [WIP] [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for native Parquet writes [datafusion-comet] via GitHub
• Re: [I] Optimize the join operators [datafusion] via GitHub
  • Re: [I] Optimize the join operators [datafusion] via GitHub
• [PR] Use logical null count in `case_when_with_expr` [datafusion] via GitHub
  • Re: [PR] Use logical null count in `case_when_with_expr` [datafusion] via GitHub
  • Re: [PR] Use logical null count in `case_when_with_expr` [datafusion] via GitHub
• Re: [I] Add support for native Parquet writes [datafusion-comet] via GitHub
• [PR] chore: Add boolean tests to `bit_count` Spark function [datafusion] via GitHub
  • Re: [PR] chore: Add missing boolean tests to `bit_count` Spark function [datafusion] via GitHub
• Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
• Re: [PR] Document SQL dialect guidance [datafusion] via GitHub
• [PR] chore(deps): bump actions/checkout from 5.0.0 to 6.0.0 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump actions/checkout from 5.0.0 to 6.0.0 [datafusion-sandbox] via GitHub
• [I] Panic in NestedLoopJoin with Nullable FixedSizeBinary Arrays [datafusion] via GitHub
  • Re: [I] Panic in NestedLoopJoin with Nullable FixedSizeBinary Arrays [datafusion] via GitHub
  • Re: [I] Panic in NestedLoopJoin with Nullable FixedSizeBinary Arrays [datafusion] via GitHub
  • Re: [I] Panic in NestedLoopJoin with Nullable FixedSizeBinary Arrays [datafusion] via GitHub
  • Re: [I] Panic in NestedLoopJoin with Nullable FixedSizeBinary Arrays [datafusion] via GitHub
  • Re: [I] Panic in NestedLoopJoin with Nullable FixedSizeBinary Arrays [datafusion] via GitHub
  • Re: [I] Panic in NestedLoopJoin with Nullable FixedSizeBinary Arrays [datafusion] via GitHub
  • Re: [I] Panic in NestedLoopJoin with Nullable FixedSizeBinary Arrays [datafusion] via GitHub
  • Re: [I] `ScalarValue::to_array_of_size` Does Not Correctly Allocate a Values Buffer for `ScalarValue::FixedSizeBinary` [datafusion] via GitHub
  • Re: [I] `ScalarValue::to_array_of_size` Does Not Correctly Allocate a Values Buffer for `ScalarValue::FixedSizeBinary` [datafusion] via GitHub
• [PR] fix: deprecate data_type_and_nullable and simplify API usage [datafusion] via GitHub
  • Re: [PR] fix: deprecate data_type_and_nullable and simplify API usage [datafusion] via GitHub
  • Re: [PR] fix: deprecate data_type_and_nullable and simplify API usage [datafusion] via GitHub
  • Re: [PR] fix: deprecate data_type_and_nullable and simplify API usage [datafusion] via GitHub
  • Re: [PR] fix: deprecate data_type_and_nullable and simplify API usage [datafusion] via GitHub
  • Re: [PR] fix: deprecate data_type_and_nullable and simplify API usage [datafusion] via GitHub
  • Re: [PR] fix: deprecate data_type_and_nullable and simplify API usage [datafusion] via GitHub
  • Re: [PR] fix: deprecate data_type_and_nullable and simplify API usage [datafusion] via GitHub
  • Re: [PR] fix: deprecate data_type_and_nullable and simplify API usage [datafusion] via GitHub
• Re: [PR] Consolidate external dependency examples (#18142) [datafusion] via GitHub
  • Re: [PR] Consolidate external dependency examples (#18142) [datafusion] via GitHub
  • Re: [PR] Consolidate external dependency examples (#18142) [datafusion] via GitHub
  • Re: [PR] Consolidate external dependency examples (#18142) [datafusion] via GitHub
  • Re: [PR] Consolidate external dependency examples (#18142) [datafusion] via GitHub
  • Re: [PR] Consolidate external dependency examples (#18142) [datafusion] via GitHub
• [PR] Row group limit pruning [datafusion] via GitHub

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