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• • Re: [PR] feat: add %%sql --limit and --no-display support [datafusion-ballista] via GitHub
  • Re: [PR] feat: add %%sql --limit and --no-display support [datafusion-ballista] via GitHub
  • Re: [PR] feat: add %%sql --limit and --no-display support [datafusion-ballista] via GitHub
• Re: [D] Delta Contribution Review Plan [datafusion-comet] via GitHub
• Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
• Re: [I] TopK early-exit doesn't fire when a partition's local heap is empty but the shared dynamic filter is already tight [datafusion] via GitHub
• Re: [PR] Feat/map sql extension types [datafusion] via GitHub
  • Re: [PR] Feat/map sql extension types [datafusion] via GitHub
  • Re: [PR] Feat/map sql extension types [datafusion] via GitHub
• [PR] add benchmarks for single column group-values traits [datafusion] via GitHub
  • Re: [PR] add benchmarks for single column group-values traits [datafusion] via GitHub
  • Re: [PR] add benchmarks for single column group-values traits [datafusion] via GitHub
  • Re: [PR] add benchmarks for single column group-values traits [datafusion] via GitHub
  • Re: [PR] add benchmarks for single column group-values traits [datafusion] via GitHub
• [PR] build(deps): bump actions/checkout from 6 to 7 [datafusion-python] via GitHub
• Re: [I] [Feature] support concat() for BinaryType and ArrayType inputs [datafusion-comet] via GitHub
• Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
  • Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
  • Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
  • Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
  • Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
• Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
• [PR] Add ScalarUDF preserves_lex_ordering FFI support [datafusion] via GitHub
  • Re: [PR] Add ScalarUDF preserves_lex_ordering FFI support [datafusion] via GitHub
  • Re: [PR] Add ScalarUDF preserves_lex_ordering FFI support [datafusion] via GitHub
• [PR] fix: gate str_to_map collations [datafusion-comet] via GitHub
  • Re: [PR] fix: gate str_to_map collations [datafusion-comet] via GitHub
• [I] Bug in lambda variable resolution [datafusion] via GitHub
  • Re: [I] Bug in lambda variable resolution [datafusion] via GitHub
  • Re: [I] Bug in lambda variable resolution [datafusion] via GitHub
  • Re: [I] Bug in lambda variable resolution [datafusion] via GitHub
• Re: [PR] feat: add Spark-compatible arrays_zip function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible arrays_zip function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible arrays_zip function [datafusion] via GitHub
• Re: [I] Support map type casting for numeric type and null type element [datafusion-comet] via GitHub
• Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
• Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
  • Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
• [I] [Follow-up #22450] Per-RG `fully_matched` RowFilter skip · needs arrow-rs#10158 (`peek_next_row_group`) [datafusion] via GitHub
  • Re: [I] [Follow-up #22450] Per-RG `fully_matched` RowFilter skip · needs arrow-rs#10158 (`peek_next_row_group`) [datafusion] via GitHub
  • Re: [I] [Follow-up #22450] Per-RG `fully_matched` RowFilter skip · needs arrow-rs#10158 (`peek_next_row_group`) [datafusion] via GitHub
• Re: [PR] feat: support mixed binary and string types for concat UDFs [datafusion] via GitHub
  • Re: [PR] feat: support mixed binary and string types for concat UDFs [datafusion] via GitHub
• [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
• [PR] feat: add native GroupsAccumulator for any_value [datafusion] via GitHub
  • Re: [PR] feat: add native GroupsAccumulator for any_value [datafusion] via GitHub
  • Re: [PR] feat: add native GroupsAccumulator for any_value [datafusion] via GitHub
• Re: [PR] FFI: plumb with_updated_config for FFI_ScalarUDF [datafusion] via GitHub
  • Re: [PR] FFI: plumb with_updated_config for FFI_ScalarUDF [datafusion] via GitHub
  • Re: [PR] FFI: plumb with_updated_config for FFI_ScalarUDF [datafusion] via GitHub
• Re: [PR] feat: support binary and string types for concat UDFs [datafusion] via GitHub
• Re: [PR] refactor: add `try_to_proto` / `try_from_proto` to `DynamicFilterPhysicalExpr` [datafusion] via GitHub
  • Re: [PR] refactor: add `try_to_proto` / `try_from_proto` to `DynamicFilterPhysicalExpr` [datafusion] via GitHub
• [PR] feat: Create dynamic filters in SortMergeJoin [datafusion] via GitHub
  • Re: [PR] feat: Create dynamic filters in SortMergeJoin [datafusion] via GitHub
  • Re: [PR] feat: Create dynamic filters in SortMergeJoin [datafusion] via GitHub
• Re: [I] [EPIC] Adaptive predicate evaluation [datafusion] via GitHub
  • Re: [I] [EPIC] Adaptive predicate evaluation [datafusion] via GitHub
  • Re: [I] [EPIC] Adaptive predicate evaluation [datafusion] via GitHub
• Re: [PR] bench: add correlated-proxy case to the predicate_eval suite [datafusion] via GitHub
  • Re: [PR] bench: add correlated-proxy case to the predicate_eval suite [datafusion] via GitHub
  • Re: [PR] bench: add correlated-proxy case to the predicate_eval suite [datafusion] via GitHub
• Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
  • Re: [PR] Adaptive (runtime, stats-based) conjunct reordering for FilterExec [datafusion] via GitHub
• Re: [PR] fix: gc StringView/BinaryView arrays before spilling to prevent write amplification [datafusion] via GitHub
• Re: [PR] minor: reuse ColumnarValue::into_array in map's expand_if_scalar and avoid uncessary clones [datafusion] via GitHub
  • Re: [PR] minor: reuse ColumnarValue::into_array in map's expand_if_scalar and avoid uncessary clones [datafusion] via GitHub
• Re: [I] Run Spark tests with Comet native writer [datafusion-comet] via GitHub
• [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
• Re: [PR] feat: opt sort_array into codegen dispatch under strict floating-point mode [datafusion-comet] via GitHub
• Re: [PR] Adaptive filter scheduling for Parquet scans [datafusion] via GitHub
  • Re: [PR] Adaptive filter scheduling for Parquet scans [datafusion] via GitHub
• Re: [PR] perf: specialize `InListExpr` static filters for Utf8, Utf8View, and LargeUtf8 [datafusion] via GitHub
• Re: [PR] feat: early group emission with emit+reset for partial aggregation [datafusion] via GitHub
• [PR] feat: core SPI for contrib leaf scans (CometScanWithPlanData) [Delta contrib split, part 1] [datafusion-comet] via GitHub
  • Re: [PR] feat: core SPI for contrib leaf scans (CometScanWithPlanData) [Delta contrib split, part 1] [datafusion-comet] via GitHub
  • Re: [PR] feat: core SPI for contrib leaf scans (CometScanWithPlanData) [Delta contrib split, part 1] [datafusion-comet] via GitHub
  • Re: [PR] feat: core SPI for contrib leaf scans (CometScanWithPlanData) [Delta contrib split, part 1] [datafusion-comet] via GitHub
  • Re: [PR] feat: core SPI for contrib leaf scans (CometScanWithPlanData) [Delta contrib split, part 1] [datafusion-comet] via GitHub
  • Re: [PR] feat: core SPI for contrib leaf scans (CometScanWithPlanData) [Delta contrib split, part 1] [datafusion-comet] via GitHub
• Re: [PR] feat: opt concat into codegen dispatch for non-UTF8_BINARY collations [datafusion-comet] via GitHub
• [PR] docs: render captioned sidebar sections for versioned user guides [datafusion-comet] via GitHub
  • Re: [PR] docs: render captioned sidebar sections for versioned user guides [datafusion-comet] via GitHub
• Re: [PR] [Tracking] feat(contrib): Native Delta Lake scan via delta-kernel-rs (Iceberg-style contrib) [datafusion-comet] via GitHub
  • Re: [PR] [Tracking] feat(contrib): Native Delta Lake scan via delta-kernel-rs (Iceberg-style contrib) [datafusion-comet] via GitHub
  • Re: [PR] [Tracking] feat(contrib): Native Delta Lake scan via delta-kernel-rs (Iceberg-style contrib) [datafusion-comet] via GitHub
• [PR] chore: update documentation links for 0.17.0 release [datafusion-comet] via GitHub
  • Re: [PR] chore: update documentation links for 0.17.0 release [datafusion-comet] via GitHub
  • Re: [PR] chore: update documentation links for 0.17.0 release [datafusion-comet] via GitHub
• Re: [I] FFI: `FFI_AggregateUDF` silently drops producer overrides of defaulted trait methods [datafusion] via GitHub
  • Re: [I] FFI: `FFI_AggregateUDF` silently drops producer overrides of defaulted trait methods [datafusion] via GitHub
• Re: [I] Support Substrait exchange output for range repartitioning [datafusion] via GitHub
• Re: [I] PlanDataInjector does N x M canInject calls per operator tree [datafusion-comet] via GitHub
• [PR] fix: pin action SHAs in dev.yml (backport to maint-16.x) [datafusion] via GitHub
  • Re: [PR] fix: pin action SHAs in dev.yml (backport to maint-16.x) [datafusion] via GitHub
• Re: [I] `log(base, val)` loses precision when `value` is `Float32` [datafusion] via GitHub
• [PR] test: drive stdin store reuse through get_or_create [datafusion] via GitHub
  • Re: [PR] test: drive stdin store reuse through get_or_create [datafusion] via GitHub
• [PR] docs: clarify stdin store buffers on construction, not first use [datafusion] via GitHub
  • Re: [PR] docs: clarify stdin store buffers on construction, not first use [datafusion] via GitHub
• Re: [PR] Return errors on string builder offset overflow in `replace` and `initcap` [datafusion] via GitHub
  • Re: [PR] Return errors on string builder offset overflow in `replace` and `initcap` [datafusion] via GitHub
• Re: [PR] fix: coalesce the merged key of RIGHT/FULL USING/NATURAL joins [datafusion] via GitHub
  • Re: [PR] fix: coalesce the merged key of RIGHT/FULL USING/NATURAL joins [datafusion] via GitHub
  • Re: [PR] fix: coalesce the merged key of RIGHT/FULL USING/NATURAL joins [datafusion] via GitHub
  • Re: [PR] fix: coalesce the merged key of RIGHT/FULL USING/NATURAL joins [datafusion] via GitHub
  • Re: [PR] fix: coalesce the merged key of RIGHT/FULL USING/NATURAL joins [datafusion] via GitHub
• [PR] fix: make table function arg coercion non-fatal, add raw_exprs accessor [datafusion] via GitHub
• [PR] fix: prevent unparser stack overflow on deeply nested expressions [datafusion] via GitHub
  • Re: [PR] fix: prevent unparser stack overflow on deeply nested expressions [datafusion] via GitHub
  • Re: [PR] fix: prevent unparser stack overflow on deeply nested expressions [datafusion] via GitHub
  • Re: [PR] fix: prevent unparser stack overflow on deeply nested expressions [datafusion] via GitHub
  • Re: [PR] fix: prevent unparser stack overflow on deeply nested expressions [datafusion] via GitHub
  • Re: [PR] fix: prevent unparser stack overflow on deeply nested expressions [datafusion] via GitHub
• Re: [I] Epic: Test coverage gaps for complex-type casts [datafusion-comet] via GitHub
• Re: [I] Add Native Support for List Functions (Dependent on Lambda Support) [datafusion] via GitHub
• [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
  • Re: [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
  • Re: [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
  • Re: [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
  • Re: [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
  • Re: [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
  • Re: [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
  • Re: [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
  • Re: [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
  • Re: [PR] Improve performance of binary and string concatenation operator [datafusion] via GitHub
• Re: [D] How to evaluate function's args one by one / implement short circuit evaluation [datafusion] via GitHub
• [I] Unparser stack overflow: recursive_protection is bypassed for nested function arguments / dialect overrides (public expr_to_sql not #[recursive]) [datafusion] via GitHub
  • Re: [I] Unparser stack overflow: recursive_protection is bypassed for nested function arguments / dialect overrides (public expr_to_sql not #[recursive]) [datafusion] via GitHub
• [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Use `EmitTo` to output [datafusion] via GitHub
• [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub
  • Re: [PR] minor: Validate `batch_size` configuration when setting it [datafusion] via GitHub

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