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• • Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion] via GitHub
  • Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion] via GitHub
  • Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion] via GitHub
  • Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion] via GitHub
  • Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion] via GitHub
  • Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion] via GitHub
  • Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion] via GitHub
  • Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion] via GitHub
  • Re: [PR] perf: use compact pruning for large string NOT IN lists [datafusion] via GitHub
• Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
• Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
  • Re: [PR] fix: count `aggregation_time` once per batch instead of once per accumulator [datafusion] via GitHub
• Re: [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
• Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
• [PR] Add streaming shared subplan example [datafusion] via GitHub
  • Re: [PR] Add streaming shared subplan example [datafusion] via GitHub
• Re: [PR] refactor(asof_join): enhance match value handling and comparator caching [datafusion] via GitHub
• Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
  • Re: [I] [EPIC] Spilling Hash Join — run any join in a bounded memory budget [datafusion] via GitHub
• [PR] feat(benchmarks): Record the join failure matrix under a fixed memory budget [datafusion] via GitHub
  • Re: [PR] feat(benchmarks): Record the join failure matrix under a fixed memory budget [datafusion] via GitHub
  • Re: [PR] feat(benchmarks): Record the join failure matrix under a fixed memory budget [datafusion] via GitHub
• Re: [PR] refactor: NLJ Stream Refactor (Part 1 - Semi/Anti/Mark) [datafusion] via GitHub
  • Re: [PR] refactor: NLJ Stream Refactor (Part 1 - Semi/Anti/Mark) [datafusion] via GitHub
  • Re: [PR] refactor: NLJ Stream Refactor (Part 1 - Semi/Anti/Mark) [datafusion] via GitHub
• Re: [PR] fix: align Spark collect aggregate element nullability [datafusion] via GitHub
  • Re: [PR] fix: align Spark collect aggregate element nullability [datafusion] via GitHub
• [PR] SQL benchmark configuration parity updates [datafusion] via GitHub
  • Re: [PR] SQL benchmark configuration parity updates [datafusion] via GitHub
  • Re: [PR] SQL benchmark configuration parity updates [datafusion] via GitHub
  • Re: [PR] SQL benchmark configuration parity updates [datafusion] via GitHub
  • Re: [PR] SQL benchmark configuration parity updates [datafusion] via GitHub
• Re: [PR] test: enable `DurationSecond` fuzzing [datafusion] via GitHub
• Re: [PR] feat: allow scaling RangePartitioning [datafusion] via GitHub
  • Re: [PR] feat: allow scaling RangePartitioning [datafusion] via GitHub
  • Re: [PR] feat: allow scaling RangePartitioning [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: 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: Add Spark-compatible `encode` function to datafusion-spark [datafusion] via GitHub
• Re: [PR] fix: Spark-compatible HALF_UP rounding for round() on float types [datafusion] via GitHub
• Re: [PR] feat(physical-expr): add Partitioning::DynamicRange variant [datafusion] via GitHub
• Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
  • Re: [I] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
• Re: [I] Drop the per-batch Comet→Spark buffer copy in CometColumnarPythonInput [datafusion-comet] via GitHub
• [PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet] via GitHub
  • Re: [PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet] via GitHub
  • Re: [PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet] via GitHub
  • Re: [PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet] via GitHub
  • Re: [PR] feat: support large Arrow inputs for accelerated Python UDFs [datafusion-comet] via GitHub
• Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Honour operator precedence in `IS [NOT] DISTINCT FROM` [datafusion-sqlparser-rs] via GitHub
• [PR] fix: accept UTC timezone aliases in Python Arrow input [datafusion-comet] via GitHub
  • Re: [PR] fix: accept UTC timezone aliases in Python Arrow input [datafusion-comet] via GitHub
  • Re: [PR] fix: accept UTC timezone aliases in Python Arrow input [datafusion-comet] via GitHub
• [I] datafusion-proto: logical plan decode re-normalizes already-normalized plans, superlinear on wide plans [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical plan decode re-normalizes already-normalized plans, superlinear on wide plans [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical plan decode re-normalizes already-normalized plans, superlinear on wide plans [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical plan decode re-normalizes already-normalized plans, superlinear on wide plans [datafusion] via GitHub
  • Re: [I] datafusion-proto: logical plan decode re-normalizes already-normalized plans, superlinear on wide plans [datafusion] via GitHub
• [I] datafusion-proto: column qualifiers containing `.` are silently corrupted on round-trip [datafusion] via GitHub
  • Re: [I] datafusion-proto: column qualifiers containing `.` are silently corrupted on round-trip [datafusion] via GitHub
  • Re: [I] datafusion-proto: column qualifiers containing `.` are silently corrupted on round-trip [datafusion] via GitHub
• Re: [PR] perf: serialize Python input directly from Comet Arrow vectors [datafusion-comet] via GitHub
  • Re: [PR] perf: serialize Python input directly from Comet Arrow vectors [datafusion-comet] via GitHub
• [PR] refactor(proto): destructure lambda expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure lambda expression serde hooks [datafusion] via GitHub
• [I] Support useLargeVarTypes in accelerated mapInArrow/mapInPandas [datafusion-comet] via GitHub
• [PR] fix: report native shuffle read metrics [datafusion-comet] via GitHub
  • Re: [PR] fix: report native shuffle read metrics [datafusion-comet] via GitHub
  • Re: [PR] fix: report native shuffle read metrics [datafusion-comet] via GitHub
  • Re: [PR] fix: report native shuffle read metrics [datafusion-comet] via GitHub
  • Re: [PR] fix: report native shuffle read metrics [datafusion-comet] via GitHub
  • Re: [PR] fix: report native shuffle read metrics [datafusion-comet] via GitHub
  • Re: [PR] fix: report native shuffle read metrics [datafusion-comet] via GitHub
  • Re: [PR] fix: report native shuffle read metrics [datafusion-comet] via GitHub
• [PR] build(deps): bump log from 0.4.32 to 0.4.34 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump log from 0.4.32 to 0.4.33 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump log from 0.4.32 to 0.4.33 [datafusion-python] via GitHub
• [PR] build(deps): bump uuid from 1.23.3 to 1.25.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump uuid from 1.23.3 to 1.25.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump uuid from 1.23.3 to 1.25.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump uuid from 1.23.3 to 1.25.0 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump uuid from 1.23.3 to 1.25.0 [datafusion-python] via GitHub
• Re: [I] Support `MapType(IntegerType,ArrayType(IntegerType,false),true)` for `CreateArray` [datafusion-comet] via GitHub
• Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
  • Re: [PR] feat: support Map for `CreateArray` literal [datafusion-comet] via GitHub
• Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
• Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Arrow Field metadata across C Data exports [datafusion-comet] via GitHub
• Re: [PR] feat: preserving grouped state reads [datafusion] via GitHub
  • Re: [PR] feat: preserving grouped state reads [datafusion] via GitHub
• Re: [PR] fix(substrait): roundtrip scalar subqueries in projections [datafusion] via GitHub
  • Re: [PR] fix(substrait): roundtrip scalar subqueries in projections [datafusion] via GitHub
• Re: [PR] fix(substrait): preserve grouping set output order [datafusion] via GitHub
  • Re: [PR] fix(substrait): preserve grouping set output order [datafusion] via GitHub
  • Re: [PR] fix(substrait): preserve grouping set output order [datafusion] via GitHub
  • Re: [PR] fix(substrait): preserve grouping set output order [datafusion] via GitHub
  • Re: [PR] fix(substrait): preserve grouping set output order [datafusion] via GitHub
• Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion] via GitHub
  • Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion] via GitHub
  • Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion] via GitHub
  • Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion] via GitHub
  • Re: [PR] fix: Show unique valid field names when an invalid one is provided [datafusion] via GitHub
• Re: [PR] fix(substrait): preserve window function semantics [datafusion] via GitHub
  • Re: [PR] fix(substrait): preserve window function semantics [datafusion] via GitHub
  • Re: [PR] fix(substrait): preserve window function semantics [datafusion] via GitHub
• Re: [PR] feat: enable native-only Celeborn shuffle planning (8/n) [datafusion-comet] via GitHub
  • Re: [PR] feat: enable native-only Celeborn shuffle planning (8/n) [datafusion-comet] via GitHub
  • Re: [PR] feat: enable native-only Celeborn shuffle planning (8/n) [datafusion-comet] via GitHub
  • Re: [PR] feat: enable native-only Celeborn shuffle planning (8/n) [datafusion-comet] via GitHub
  • Re: [PR] feat: enable native-only Celeborn shuffle planning (8/n) [datafusion-comet] via GitHub
• Re: [I] Unsafe native partial aggregates survive child-triggered final fallback [datafusion-comet] via GitHub
  • Re: [I] Unsafe native partial aggregates survive child-triggered final fallback [datafusion-comet] via GitHub
• Re: [I] Fix remaining reported issues for arrays of map [datafusion-comet] via GitHub
  • Re: [I] Fix remaining reported issues for arrays of map [datafusion-comet] via GitHub
  • Re: [I] Fix remaining reported issues for arrays of map [datafusion-comet] via GitHub
• Re: [I] Checked TIMESTAMP_MILLIS overflow for nested fields and nested-predicate scans is blocked on DataFusion nested-field pruning [datafusion-comet] via GitHub

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