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• • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation early emit when OOM [datafusion] via GitHub
• [PR] fix: Allow a correlated scalar subquery to group without aggregating [datafusion] via GitHub
  • Re: [PR] fix: Allow a correlated scalar subquery to group without aggregating [datafusion] via GitHub
• [PR] feat: Single join for correlated scalar subqueries [datafusion] via GitHub
  • Re: [PR] feat: Single join for correlated scalar subqueries [datafusion] via GitHub
  • Re: [PR] feat: Single join for correlated scalar subqueries [datafusion] via GitHub
  • Re: [PR] feat: Single join for correlated scalar subqueries [datafusion] via GitHub
  • Re: [PR] feat: Single join for correlated scalar subqueries [datafusion] via GitHub
  • [PR] feat: Single join for correlated scalar subqueries [datafusion] via GitHub
  • Re: [PR] feat: Single join for correlated scalar subqueries [datafusion] via GitHub
  • Re: [PR] feat: Single join for correlated scalar subqueries [datafusion] via GitHub
• [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
• [PR] Add streaming shared subplan example [datafusion] via GitHub
  • Re: [PR] Add streaming shared subplan example [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
• [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] 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] 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
• [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
• [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
• [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
• [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: [I] Support `MapType(IntegerType,ArrayType(IntegerType,false),true)` for `CreateArray` [datafusion-comet] 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(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: [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
• [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: Show unique valid field names when an invalid one is provided [datafusion] via GitHub
• [I] Checked TIMESTAMP_MILLIS overflow for nested fields and nested-predicate scans is blocked on DataFusion nested-field pruning [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
• [I] Duplicate valid fields in error message with nested queries [datafusion] via GitHub
  • Re: [I] Duplicate valid fields in error message with nested queries [datafusion] via GitHub
• [I] first_value/last_value GroupsAccumulator ignores beneficial input ordering (is_input_pre_ordered) [datafusion] via GitHub
• [I] [FEATURE] Enable direct top-level Variant projection in ordinary native Parquet scans [datafusion-comet] via GitHub
  • Re: [I] [FEATURE] Enable direct top-level Variant projection in ordinary native Parquet scans [datafusion-comet] via GitHub
• [I] [FEATURE] Export complete Arrow Fields through the native FFI boundary [datafusion-comet] via GitHub
  • Re: [I] [FEATURE] Export complete Arrow Fields through the native FFI boundary [datafusion-comet] via GitHub
  • Re: [I] [FEATURE] Export complete Arrow Fields through the native FFI boundary [datafusion-comet] via GitHub
• [I] [FEATURE] Normalize marked Variant arrays at the native Parquet boundary [datafusion-comet] via GitHub
  • Re: [I] [FEATURE] Normalize marked Variant arrays at the native Parquet boundary [datafusion-comet] via GitHub
• [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] 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
• [I] [FEATURE] Native top-level Variant projection from ordinary Parquet [datafusion-comet] via GitHub
  • Re: [I] [FEATURE] Native top-level Variant projection from ordinary Parquet [datafusion-comet] via GitHub
• [I] [FEATURE] Match Spark physical Parquet semantics for projected Variant columns [datafusion-comet] via GitHub
  • Re: [I] [FEATURE] Match Spark physical Parquet semantics for projected Variant columns [datafusion-comet] via GitHub
• [I] [FEATURE] Carry Spark VariantType identity through Comet schema serialization [datafusion-comet] via GitHub
  • Re: [I] [FEATURE] Carry Spark VariantType identity through Comet schema serialization [datafusion-comet] via GitHub
• [PR] fix: preserve nested collection expression semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve nested collection expression semantics [datafusion-comet] via GitHub
• Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): Make `HashTableLookupExpr` serializable [datafusion] via GitHub
• [PR] test: enable `DurationSecond` fuzzing [datafusion] via GitHub
  • Re: [PR] test: enable `DurationSecond` fuzzing [datafusion] via GitHub
  • Re: [PR] test: enable `DurationSecond` fuzzing [datafusion] via GitHub
  • Re: [PR] test: enable `DurationSecond` fuzzing [datafusion] via GitHub
• [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] Add native support for CollectMetricsExec (df.observe) to preserve stage fusion [datafusion-comet] via GitHub
• Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet] via GitHub
  • Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet] via GitHub
  • Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet] via GitHub
  • Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet] via GitHub
  • Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet] via GitHub
  • Re: [I] [Incompatibility] Document array_join null handling differences [datafusion-comet] via GitHub
• [PR] Preserve single quote literal display [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Preserve single quote literal display [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Preserve single quote literal display [datafusion-sqlparser-rs] via GitHub
• [PR] perf: project cached batches by buffer selection, prune on collated strings [datafusion-comet] via GitHub
• [PR] Preserve numeric compound field access display [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Preserve numeric compound field access display [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Preserve numeric compound field access display [datafusion-sqlparser-rs] via GitHub
• Re: [I] PostgreSQL compatibility: `ln(-1.0::float8)` should error, not return NaN [datafusion] via GitHub
  • Re: [I] PostgreSQL compatibility: `ln(-1.0::float8)` should error, not return NaN [datafusion] via GitHub
  • Re: [I] PostgreSQL compatibility: `ln(-1.0::float8)` should error, not return NaN [datafusion] via GitHub
• Re: [PR] fix(spark): derive pmod's decimal result type from the declared arguments [datafusion] via GitHub
  • Re: [PR] fix(spark): derive pmod's decimal result type from the declared arguments [datafusion] via GitHub
  • Re: [PR] fix(spark): derive pmod's decimal result type from the declared arguments [datafusion] via GitHub
• Re: [I] PostgreSQL compatibility: `log(0.0::float8)` should error, not return `-inf` [datafusion] via GitHub
• Re: [I] Add spilling support for HashJoin [datafusion] via GitHub
  • Re: [I] Add spilling support for HashJoin [datafusion] via GitHub
• [I] Memory Limited Joins (Externalized / Spill) [datafusion] via GitHub
  • Re: [I] Memory Limited Joins (Externalized / Spill) [datafusion] via GitHub
  • Re: [I] Memory Limited Joins (Externalized / Spill) [datafusion] via GitHub
  • Re: [I] Memory Limited Joins (Externalized / Spill) [datafusion] via GitHub
  • Re: [I] Memory Limited Joins (Externalized / Spill) [datafusion] via GitHub
• Re: [PR] fix: log(0.0::float8) should error, not return -inf [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] Supporting analytics over large amounts of pre‑partitioned data [datafusion] via GitHub
• Re: [PR] fix sqrt(-1.0::float8) should error, not return NaN [datafusion] via GitHub
• Re: [PR] fixing negative power to zero [datafusion] via GitHub
• Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
• [PR] fix: prune row groups when file statistics collapse the predicate to a constant [datafusion] via GitHub
  • Re: [PR] fix: prune row groups when file statistics collapse the predicate to a constant [datafusion] via GitHub
  • Re: [PR] fix: prune row groups when file statistics collapse the predicate to a constant [datafusion] via GitHub
  • Re: [PR] fix: prune row groups when file statistics collapse the predicate to a constant [datafusion] via GitHub
• Re: [PR] IN LIST: use runtime dispatch for `FixedSizeBinary` filter (reduce binary size) [datafusion] via GitHub
  • Re: [PR] IN LIST: use runtime dispatch for `FixedSizeBinary` filter (reduce binary size) [datafusion] via GitHub
  • Re: [PR] IN LIST: use runtime dispatch for `FixedSizeBinary` filter (reduce binary size) [datafusion] via GitHub
• [I] Native Azure store lets ambient AZURE_* environment variables override or corrupt explicit Hadoop auth config [datafusion-comet] via GitHub

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