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• • 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
• [PR] Parsing v2 [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parsing v2 [datafusion-sqlparser-rs] via GitHub
• [I] Implement conversion of DESCRIBE to substrait [datafusion] via GitHub
• [PR] Add support ansi mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
  • Re: [PR] feat: Support ANSI mode avg expr [datafusion-comet] via GitHub
• [PR] Implicit aliases [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Preserve optional `AS` keyword in aliases [datafusion-sqlparser-rs] via GitHub
• [I] Add example for using `CacheFactory` with `DataFrame::cache` [datafusion] via GitHub
  • Re: [I] Add example for using `CacheFactory` with `DataFrame::cache` [datafusion] via GitHub
  • Re: [I] Add example for using `CacheFactory` with `DataFrame::cache` [datafusion] via GitHub
  • Re: [I] Add example for using `CacheFactory` with `DataFrame::cache` [datafusion] via GitHub
• [PR] build(deps): bump actions/checkout from 5 to 6 [datafusion-python] via GitHub
• [PR] enhancement: integrate batch coalescer with repartition exec [datafusion] via GitHub
• [PR] Testing [datafusion] via GitHub
• Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
• Re: [PR] chore(deps): bump crate-ci/typos from 1.39.0 to 1.39.2 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump crate-ci/typos from 1.39.0 to 1.39.2 [datafusion-sandbox] via GitHub
• [PR] rs pass [datafusion-sandbox] via GitHub
• [PR] Update rust edition to 2024 [datafusion] via GitHub
  • Re: [PR] Update rust edition to 2024 [datafusion] via GitHub
  • Re: [PR] Update rust edition to 2024 [datafusion] via GitHub
  • Re: [PR] Update rust edition to 2024 [datafusion] via GitHub
  • Re: [PR] Update rust edition to 2024 [datafusion] via GitHub
  • Re: [PR] Update rust edition to 2024 [datafusion] via GitHub
  • Re: [PR] Update rust edition to 2024 [datafusion] via GitHub
• [PR] rs failure [datafusion-sandbox] via GitHub
• Re: [I] RFC: Should we remove pyarrow feature from datafusion core [datafusion] via GitHub
• [PR] Test change [datafusion-sandbox] via GitHub
• [PR] Dorny path filter [datafusion-sandbox] via GitHub
• Re: [PR] Avoid the need to rewrite expressions when evaluating logical case nullability [datafusion] via GitHub
  • Re: [PR] Avoid the need to rewrite expressions when evaluating logical case nullability [datafusion] via GitHub
• Re: [PR] Docs: Enhance testing documentation with examples and links [datafusion] via GitHub
  • Re: [PR] Docs: Enhance testing documentation with examples and links [datafusion] via GitHub
• Re: [PR] Add benchmark for array_has/array_has_all/array_has_any [datafusion] via GitHub
  • Re: [PR] Add benchmark for array_has/array_has_all/array_has_any [datafusion] via GitHub
  • Re: [PR] Add benchmark for array_has/array_has_all/array_has_any [datafusion] via GitHub
• Re: [PR] feat: allow custom caching via logical node [datafusion] via GitHub
  • Re: [PR] feat: allow custom caching via logical node [datafusion] via GitHub
  • Re: [PR] feat: allow custom caching via logical node [datafusion] via GitHub
  • Re: [PR] feat: allow custom caching via logical node [datafusion] via GitHub
  • Re: [PR] feat: allow custom caching via logical node [datafusion] via GitHub
  • Re: [PR] feat: allow custom caching via logical node [datafusion] via GitHub
• Re: [PR] chore: remove `pyarrow` feature [datafusion] via GitHub
  • Re: [PR] chore: remove `pyarrow` feature [datafusion] via GitHub
• Re: [PR] Fix error planning aggregates with duplicated names in select list [datafusion] via GitHub
  • Re: [PR] Fix error planning aggregates with duplicated names in select list [datafusion] via GitHub
  • Re: [PR] Fix error planning aggregates with duplicated names in select list [datafusion] via GitHub
  • Re: [PR] Fix error planning aggregates with duplicated names in select list [datafusion] via GitHub
  • Re: [PR] Fix error planning aggregates with duplicated names in select list [datafusion] via GitHub
  • Re: [PR] Fix error planning aggregates with duplicated names in select list [datafusion] via GitHub
  • Re: [PR] Fix error planning aggregates with duplicated names in select list [datafusion] via GitHub
  • Re: [PR] Fix error planning aggregates with duplicated names in select list [datafusion] via GitHub
• [I] [EPIC] Support Decimal for User Defined Functions [datafusion] via GitHub
  • Re: [I] [EPIC] Support Decimal for User Defined Functions [datafusion] via GitHub
  • Re: [I] [EPIC] Support Decimal for User Defined Functions [datafusion] via GitHub
• Re: [I] Use `arrow-avro` for performance and improved type support [datafusion] via GitHub
  • Re: [I] Use `arrow-avro` for performance and improved type support [datafusion] via GitHub
  • Re: [I] Use `arrow-avro` for performance and improved type support [datafusion] via GitHub
  • Re: [I] Use `arrow-avro` for performance and improved type support [datafusion] via GitHub
  • Re: [I] Use `arrow-avro` for performance and improved type support [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: [I] Support table inputs for user defined table functions [datafusion] via GitHub
• Re: [PR] feat: support batched table functions [datafusion] via GitHub
  • Re: [PR] feat: support batched table functions [datafusion] via GitHub
  • Re: [PR] feat: support batched table functions [datafusion] via GitHub
  • Re: [PR] feat: support batched table functions [datafusion] via GitHub
  • Re: [PR] feat: support batched table functions [datafusion] via GitHub
  • Re: [PR] feat: support batched table functions [datafusion] via GitHub
  • Re: [PR] feat: support batched table functions [datafusion] via GitHub
• Re: [I] FFI Scalar function wrapper does not preserve Scalar/Array-ness of a ColumnarValue [datafusion] via GitHub
• Re: [PR] feat: Implement `FFI_TableProviderFactory` [datafusion] via GitHub
• Re: [PR] Use `pastey` instead of `paste` which is unmaintained [datafusion] via GitHub
• Re: [PR] Support Non-Literal Expressions in Substrait VirtualTable Values and Improve Round-Trip Robustness [datafusion] via GitHub
  • Re: [PR] Support Non-Literal Expressions in Substrait VirtualTable Values and Improve Round-Trip Robustness [datafusion] via GitHub
  • Re: [PR] Support Non-Literal Expressions in Substrait VirtualTable Values and Improve Round-Trip Robustness [datafusion] via GitHub
  • Re: [PR] Support Non-Literal Expressions in Substrait VirtualTable Values and Improve Round-Trip Robustness [datafusion] via GitHub
  • Re: [PR] Support Non-Literal Expressions in Substrait VirtualTable Values and Improve Round-Trip Robustness [datafusion] via GitHub
  • Re: [PR] Support Non-Literal Expressions in Substrait VirtualTable Values and Improve Round-Trip Robustness [datafusion] via GitHub
• Re: [PR] test: extract conditional expression tests (`if`, `case_when` and `coalesce`) [datafusion-comet] via GitHub
  • Re: [PR] test: extract conditional expression tests (`if`, `case_when` and `coalesce`) [datafusion-comet] via GitHub
• Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around for TopK aggregation [datafusion] via GitHub
  • Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around for TopK aggregation [datafusion] via GitHub
  • Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around for TopK aggregation [datafusion] via GitHub
  • Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around for TopK aggregation [datafusion] via GitHub
  • Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around for TopK aggregation [datafusion] via GitHub
  • Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around for TopK aggregation [datafusion] via GitHub
  • Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around for TopK aggregation [datafusion] via GitHub
  • Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around for TopK aggregation [datafusion] via GitHub
  • Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around for TopK aggregation [datafusion] via GitHub
• Re: [I] Andrew Lamb Weekly-ish Open Source plan - 2025-11-17 [datafusion] via GitHub
  • Re: [I] Andrew Lamb Weekly-ish Open Source plan - 2025-11-17 [datafusion] via GitHub
• [I] Andrew Lamb Weekly-ish Open Source plan - 2025-11-24 [datafusion] via GitHub
  • Re: [I] Andrew Lamb Weekly-ish Open Source plan - 2025-11-24 [datafusion] via GitHub
  • Re: [I] Andrew Lamb Weekly-ish Open Source plan - 2025-11-24 [datafusion] via GitHub
• [PR] Add iter() method to `Extensions` [datafusion] via GitHub
  • Re: [PR] Add iter() method to `Extensions` [datafusion] via GitHub
• Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize CASE WHEN lookup table (2.5-22.5 times faster) [datafusion] via GitHub
• Re: [PR] chore: update datafusion to 51.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore: update datafusion to 51.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore: update datafusion to 51.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore: update datafusion to 51.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore: update datafusion to 51.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore: update datafusion to 51.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore: update datafusion to 51.0 [datafusion-ballista] via GitHub
• [I] Support `ListView`, `LargeListView` in `ScalarValue` [datafusion] via GitHub
  • Re: [I] Support `ListView`, `LargeListView` in `ScalarValue` [datafusion] via GitHub
• Re: [PR] Add PostgreSQL `CREATE USER` and `ALTER USER` support [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add PostgreSQL `CREATE USER` and `ALTER USER` support [datafusion-sqlparser-rs] via GitHub
• Re: [I] AggregateExec drops byte-size statistics causing incorrect join build-side selection and broken dynamic filtering [datafusion] via GitHub
  • Re: [I] AggregateExec drops byte-size statistics causing incorrect join build-side selection and broken dynamic filtering [datafusion] via GitHub
• [PR] fix: preserve byte-size statistics in AggregateExec [datafusion] via GitHub
  • Re: [PR] fix: preserve byte-size statistics in AggregateExec [datafusion] via GitHub
  • Re: [PR] fix: preserve byte-size statistics in AggregateExec [datafusion] via GitHub
  • Re: [PR] fix: preserve byte-size statistics in AggregateExec [datafusion] via GitHub
  • Re: [PR] fix: preserve byte-size statistics in AggregateExec [datafusion] via GitHub
  • Re: [PR] fix: preserve byte-size statistics in AggregateExec [datafusion] via GitHub
  • Re: [PR] fix: preserve byte-size statistics in AggregateExec [datafusion] via GitHub
  • Re: [PR] fix: preserve byte-size statistics in AggregateExec [datafusion] via GitHub
  • Re: [PR] fix: preserve byte-size statistics in AggregateExec [datafusion] via GitHub
• [PR] feat: support `ListView` and `LargeListView` in `ScalarValue` [datafusion] via GitHub
• [PR] build: Fix CI failures resulting from GitHub change [datafusion-comet] via GitHub
  • Re: [PR] build: Fix CI failures resulting from GitHub change [datafusion-comet] via GitHub
  • Re: [PR] build: Disable caching for macOS PR builds [datafusion-comet] via GitHub
  • Re: [PR] build: Disable caching for macOS PR builds [datafusion-comet] via GitHub
• [PR] build(deps): bump datafusion-proto from 50.3.0 to 51.0.0 [datafusion-python] via GitHub
• [PR] build(deps): bump datafusion-substrait from 50.3.0 to 51.0.0 [datafusion-python] via GitHub
• [PR] build(deps): bump datafusion from 50.3.0 to 51.0.0 [datafusion-python] via GitHub
• [PR] build(deps): bump datafusion-ffi from 50.3.0 to 51.0.0 [datafusion-python] via GitHub
• Re: [PR] Upgrade hashbrown to 0.16, keep 0.14 around [datafusion] via GitHub
• Re: [PR] feat: Support Ref types in Scan [Avro] [datafusion] via GitHub
• Re: [PR] feat: Improve read types support [Avro] [datafusion] via GitHub
  • Re: [PR] feat: Improve read types support [Avro] [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: [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

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