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• • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
• Re: [D] Why isn't this predicate being pushed down to TableScan? [datafusion] via GitHub
• Re: [D] Create in-memory index ? [datafusion] via GitHub
  • Re: [D] Create in-memory index ? [datafusion] via GitHub
• Re: [D] How to solve "Error: This feature is not implemented: Can't create a scalar from array of type "Map" [datafusion] via GitHub
  • Re: [D] How to solve "Error: This feature is not implemented: Can't create a scalar from array of type "Map" [datafusion] via GitHub
• Re: [D] Infer schema for NDJSON [datafusion] via GitHub
  • Re: [D] Infer schema for NDJSON [datafusion] via GitHub
• [PR] minor: add builder setting `NdJsonReadOptions::schema_infer_max_records` [datafusion] via GitHub
  • Re: [PR] minor: add builder setting `NdJsonReadOptions::schema_infer_max_records` [datafusion] via GitHub
• Re: [D] Dynamic loading of plugins [datafusion] via GitHub
  • Re: [D] Dynamic loading of plugins [datafusion] via GitHub
• Re: [D] Import deeply nested Rust struct/enum with custom types [datafusion] via GitHub
• Re: [D] Proposal: Rename `FileSinkExec` [datafusion] via GitHub
• Re: [D] Link Input Singnature to Output signature in UDF [datafusion] via GitHub
• Re: [PR] feat: support Spark-compatible abs math function part 2 - ANSI mode [datafusion] via GitHub
• Re: [PR] chore(deps): bump flate2 from 1.1.4 to 1.1.5 [datafusion] via GitHub
• Re: [PR] chore(deps): bump indexmap from 2.12.0 to 2.12.1 [datafusion] via GitHub
• Re: [PR] chore(deps): bump aws-config from 1.8.7 to 1.8.11 [datafusion] via GitHub
• [PR] chore: update `Iceberg` install docs [datafusion-comet] via GitHub
  • Re: [PR] chore: update `Iceberg` install docs [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump lz4_flex from 0.11.5 to 0.12.0 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump lz4_flex from 0.11.5 to 0.12.0 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump lz4_flex from 0.11.5 to 0.12.0 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump lz4_flex from 0.11.5 to 0.12.0 in /native [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump opendal from 0.54.1 to 0.55.0 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump opendal from 0.54.1 to 0.55.0 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump opendal from 0.54.1 to 0.55.0 in /native [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump cc from 1.2.46 to 1.2.47 in /native [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump object_store_opendal from 0.54.1 to 0.55.0 in /native [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump actions/checkout from 5 to 6 [datafusion-comet] via GitHub
• Re: [PR] Support `CREATE SEQUENCE` options in any order [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Support `CREATE SEQUENCE` options in any order [datafusion-sqlparser-rs] via GitHub
• Re: [I] [substrait] [sqllogictest] Unsupported window frame unit: Groups [datafusion] via GitHub
• Re: [I] [substrait] [sqllogictest] Only literal types and aliases are supported in Virtual Tables, got: ScalarFunction [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] Implement Substrait Support for `GROUPING SET CUBE` [datafusion] via GitHub
  • Re: [PR] Implement Substrait Support for `GROUPING SET CUBE` [datafusion] via GitHub
• Re: [D] Feedback on high memory usage when merging N parquet files [datafusion] via GitHub
• Re: [I] Make `UnionArray`s hashable [datafusion] via GitHub
• Re: [PR] Enable Parallel Aggregation for Non-Overlapping Partitioned Data [datafusion] via GitHub
  • Re: [PR] Enable Parallel Aggregation for Non-Overlapping Partitioned Data [datafusion] via GitHub
• [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
• [PR] Implement task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
  • Re: [PR] Implement FFI task context and task context provider [datafusion] via GitHub
• [D] starting [datafusion] via GitHub
  • Re: [D] starting [datafusion] via GitHub
  • Re: [D] starting [datafusion] via GitHub
  • Re: [D] starting [datafusion] via GitHub
  • Re: [D] starting [datafusion] via GitHub
  • Re: [D] starting [datafusion] via GitHub
  • Re: [D] starting [datafusion] via GitHub
  • Re: [D] starting [datafusion] via GitHub
  • Re: [D] starting [datafusion] via GitHub
  • Re: [D] starting [datafusion] via GitHub
• [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] via GitHub
  • Re: [PR] Implement FFI_PhysicalExpr and the structs it needs to support it. [datafusion] 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: 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] build: Disable caching for macOS PR builds [datafusion-comet] via GitHub
  • Re: [PR] build: Disable caching for macOS PR builds [datafusion-comet] via GitHub
• Re: [PR] feat: Make extract SQL expression timezone aware. [datafusion] via GitHub
  • Re: [PR] feat: Make extract SQL expression timezone aware. [datafusion] via GitHub
  • Re: [PR] feat: Make extract SQL expression timezone aware. [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] Add parse_sql_with_offsets to preserve original source text [datafusion-sqlparser-rs] via GitHub
• Re: [PR] DRAFT implement trait in proto de/serialization to allow finer control [datafusion] via GitHub
  • Re: [PR] DRAFT implement trait in proto de/serialization to allow finer control [datafusion] via GitHub
  • Re: [PR] DRAFT implement trait in proto de/serialization to allow finer control [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
• [PR] Feat/update rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Feat/update rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Feat/update rust 2024 edition [datafusion] 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] Fix `map` function alias handling in SQL planner [datafusion] via GitHub
  • Re: [PR] Fix `map` function alias handling in SQL planner [datafusion] via GitHub
• [I] Implement `MAP(key, value)` syntax to match documentation [datafusion] via GitHub
  • Re: [I] Implement `MAP(key, value)` syntax to match documentation [datafusion] via GitHub
  • Re: [I] Implement `MAP(key, value)` syntax to match documentation [datafusion] via GitHub
  • Re: [I] Implement `MAP(key, value)` syntax to match documentation [datafusion] via GitHub
  • Re: [I] Implement `MAP(key, value)` syntax to match documentation [datafusion] via GitHub

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