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• • Re: [PR] feat: Native Delta Lake scan via delta-kernel-rs [datafusion-comet] via GitHub
  • Re: [PR] feat: Native Delta Lake scan via delta-kernel-rs [datafusion-comet] via GitHub
• [PR] Release 53.0.0 [datafusion-python] via GitHub
  • Re: [PR] Release 53.0.0 [datafusion-python] via GitHub
  • Re: [PR] Release 53.0.0 [datafusion-python] via GitHub
• Re: [PR] IN LIST optims [datafusion] via GitHub
  • Re: [PR] IN LIST optims [datafusion] via GitHub
  • Re: [PR] IN LIST optims [datafusion] via GitHub
  • Re: [PR] IN LIST optims [datafusion] via GitHub
  • Re: [PR] IN LIST optims [datafusion] via GitHub
• [PR] Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
  • Re: [PR] Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
  • Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
  • Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
  • Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
  • Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
• Re: [PR] feat(spark): add `concat_ws` with array support [datafusion] via GitHub
  • Re: [PR] feat(spark): add `concat_ws` with array support [datafusion] via GitHub
• [PR] Remove trait function `as_any` from datafusion-datasource [datafusion] via GitHub
  • Re: [PR] Remove trait function `as_any` from datafusion-datasource [datafusion] via GitHub
• [I] Explain Analyze raises "Unsupported logical plan: Analyze must be root of the plan" [datafusion-python] via GitHub
  • Re: [I] Explain Analyze raises "Unsupported logical plan: Analyze must be root of the plan" [datafusion-python] via GitHub
  • Re: [I] Explain Analyze raises "Unsupported logical plan: Analyze must be root of the plan" [datafusion-python] via GitHub
  • Re: [I] Explain Analyze raises "Unsupported logical plan: Analyze must be root of the plan" [datafusion-python] via GitHub
  • Re: [I] Explain Analyze raises "Unsupported logical plan: Analyze must be root of the plan" [datafusion-python] via GitHub
  • Re: [I] Explain Analyze raises "Unsupported logical plan: Analyze must be root of the plan" [datafusion-python] via GitHub
  • Re: [I] Explain Analyze raises "Unsupported logical plan: Analyze must be root of the plan" [datafusion-python] via GitHub
  • Re: [I] Explain Analyze raises "Unsupported logical plan: Analyze must be root of the plan" [datafusion-python] via GitHub
• [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
  • Re: [PR] chore: add count distinct group benchmarks [datafusion] via GitHub
• [PR] feat: support compatible array_distinct function [datafusion-comet] via GitHub
• [I] DataFusion CLI is not working on Windows [datafusion] via GitHub
• [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
  • 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
• [I] Remove `as_any` from trait definitions [datafusion] via GitHub
• Re: [PR] fix(unparser): make `BigQueryDialect` more robust [datafusion] via GitHub
  • Re: [PR] fix(unparser): make `BigQueryDialect` more robust [datafusion] via GitHub
• [PR] feat: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] feat: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
  • Re: [PR] perf: avoid FFI import/export when passing batches between native plans [datafusion-comet] via GitHub
• Re: [PR] feat: Implement `datafusion-spark` `sequence` function [datafusion] via GitHub
  • Re: [PR] feat: Implement `datafusion-spark` `sequence` function [datafusion] via GitHub
• Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: Add Spark-compatible `encode` function to datafusion-spark [datafusion] via GitHub
• Re: [PR] feat: implement DFExtensionType for remaining canonical Arrow extension types [datafusion] via GitHub
  • Re: [PR] feat: implement DFExtensionType for remaining canonical Arrow extension types [datafusion] via GitHub
• Re: [I] Write a blog for limit pruning [datafusion] via GitHub
  • Re: [I] Write a blog for limit pruning [datafusion] via GitHub
• Re: [I] ResolveGroupingFunction does not unwrap Alias nodes [datafusion] via GitHub
• Re: [PR] remove as_any from TableProvider, SchemaProvider, CatalogProvider, and CatalogProviderList [datafusion] via GitHub
• [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
  • Re: [PR] Io dynamic [datafusion] via GitHub
• [PR] feat: Add Hash trait to Aggregate enums [datafusion] via GitHub
  • Re: [PR] feat: Add Hash trait to Aggregate enums [datafusion] via GitHub
• [PR] Support None comparisons for null expressions [datafusion-python] via GitHub
  • Re: [PR] Support None comparisons for null expressions [datafusion-python] via GitHub
  • Re: [PR] Support None comparisons for null expressions [datafusion-python] via GitHub
  • Re: [PR] Support None comparisons for null expressions [datafusion-python] via GitHub
• [I] GROUP BY ROLLUP returns 0 rows with empty input (should return grand total row) [datafusion] via GitHub
  • Re: [I] GROUP BY ROLLUP returns 0 rows with empty input (should return grand total row) [datafusion] via GitHub
  • Re: [I] GROUP BY ROLLUP returns 0 rows with empty input (should return grand total row) [datafusion] via GitHub
• [I] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
• [PR] Optimize ByteViewGroupValueBuilder vectorized_append by reusing input views [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
  • Re: [PR] Optimize ByteViewGroupValueBuilder vectorized_append [datafusion] via GitHub
• [PR] Parquet: Add scan-level cache for adapted pruning setup (projection/predicate) to reuse CPU-only work across same-schema files [datafusion] via GitHub
  • Re: [PR] Parquet: Add scan-level cache for adapted pruning setup (projection/predicate) to reuse CPU-only work across same-schema files [datafusion] via GitHub
  • Re: [PR] Parquet: Add scan-level cache for adapted pruning setup (projection/predicate) to reuse CPU-only work across same-schema files [datafusion] via GitHub
  • Re: [PR] Parquet: Add scan-level cache for adapted pruning setup (projection/predicate) to reuse CPU-only work across same-schema files [datafusion] via GitHub
• [PR] Remove CastColumnExpr and custom_file_casts example; unify on field-aware CastExpr [datafusion] via GitHub
  • Re: [PR] Remove CastColumnExpr and custom_file_casts example; unify on field-aware CastExpr [datafusion] via GitHub
  • Re: [PR] Remove CastColumnExpr and custom_file_casts example; unify on field-aware CastExpr [datafusion] via GitHub
  • Re: [PR] Remove CastColumnExpr and custom_file_casts example; unify on field-aware CastExpr [datafusion] via GitHub
  • Re: [PR] Remove CastColumnExpr and custom_file_casts example; unify on field-aware CastExpr [datafusion] via GitHub
  • Re: [PR] Remove CastColumnExpr and custom_file_casts example; unify on field-aware CastExpr [datafusion] via GitHub
  • Re: [PR] Remove CastColumnExpr and custom_file_casts example; unify on field-aware CastExpr [datafusion] via GitHub
  • Re: [PR] Remove CastColumnExpr and custom_file_casts example; unify on field-aware CastExpr [datafusion] via GitHub
• [PR] fix: LazyMemoryExec should produce independent streams per execute() [datafusion] via GitHub
  • Re: [PR] fix: LazyMemoryExec should produce independent streams per execute() [datafusion] via GitHub
  • Re: [PR] fix: LazyMemoryExec should produce independent streams per execute() [datafusion] via GitHub
• [PR] fix(spark): add custom nullability to SparkMakeInterval [datafusion] via GitHub
  • Re: [PR] fix(spark): add custom nullability to SparkMakeInterval [datafusion] via GitHub
• Re: [PR] [Incompatibility] Document arrays_overlap null handling differences [datafusion-comet] via GitHub
• [PR] feat: support 2-argument ceil(value, scale) for Spark compatibility [datafusion] via GitHub
  • Re: [PR] feat: support 2-argument ceil(value, scale) for Spark compatibility [datafusion] via GitHub
  • Re: [PR] feat: support 2-argument ceil(value, scale) for Spark compatibility [datafusion] via GitHub
  • Re: [PR] feat: support 2-argument ceil(value, scale) for Spark compatibility [datafusion] via GitHub
  • Re: [PR] feat: support 2-argument ceil(value, scale) for Spark compatibility [datafusion] via GitHub
• [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub
  • Re: [PR] perf: Implement groups accumulator count distinct primitive types [datafusion] via GitHub

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