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• • Re: [PR] fix: coerce SIMILAR TO operands to a common string type to avoid 'failed to downcast array' panic [datafusion] via GitHub
  • Re: [PR] fix: coerce SIMILAR TO operands to a common string type to avoid 'failed to downcast array' panic [datafusion] via GitHub
• [PR] feat(proto): thread expr encode/decode context into try_encode_expr / try_decode_expr [datafusion] via GitHub
  • Re: [PR] feat(proto): thread expr encode/decode context into try_encode_expr / try_decode_expr [datafusion] via GitHub
  • Re: [PR] feat(proto): thread expr encode/decode context into try_encode_expr / try_decode_expr [datafusion] via GitHub
  • Re: [PR] feat(proto): thread expr encode/decode context into try_encode_expr / try_decode_expr [datafusion] via GitHub
• Re: [I] Logical rewrite: Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
  • Re: [I] Logical rewrite: Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
• [I] SIMILAR TO: SQL planner rejects non-literal LargeUtf8 / Utf8View patterns [datafusion] via GitHub
  • Re: [I] SIMILAR TO: SQL planner rejects non-literal LargeUtf8 / Utf8View patterns [datafusion] via GitHub
• Re: [I] [EPIC] Port ExecutionPlan serialization to try_to_proto / try_from_proto hooks [datafusion] via GitHub
• Re: [PR] Add ExecutionPlan try_to_proto / try_from_proto hooks + ProjectionExec reference [datafusion] via GitHub
• [PR] refactor(proto): delegate deprecated ProjectionExec serde shims to new hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): delegate deprecated ProjectionExec serde shims to new hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): delegate deprecated ProjectionExec serde shims to new hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): delegate deprecated ProjectionExec serde shims to new hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): delegate deprecated ProjectionExec serde shims to new hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): delegate deprecated ProjectionExec serde shims to new hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): delegate deprecated ProjectionExec serde shims to new hooks [datafusion] via GitHub
• Re: [I] Proto: migrate leaf plans EmptyExec + PlaceholderRowExec [datafusion] via GitHub
  • Re: [I] Proto: migrate leaf plans EmptyExec + PlaceholderRowExec [datafusion] via GitHub
  • Re: [I] Proto: migrate leaf plans EmptyExec + PlaceholderRowExec [datafusion] via GitHub
• Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
• [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
  • Re: [PR] perf: improve splitting of the offset vector in `GroupColumn::take_n` implementations, adding a new helper fn [datafusion] via GitHub
• Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion] via GitHub
  • Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion] via GitHub
  • Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion] via GitHub
  • Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion] via GitHub
  • Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion] via GitHub
  • Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion] via GitHub
• [PR] docs: refresh SF1000 benchmark results on 2x16-core AQE-on reference cluster [datafusion-ballista] via GitHub
  • Re: [PR] docs: refresh SF1000 benchmark results on 2x16-core AQE-on reference cluster [datafusion-ballista] via GitHub
  • Re: [PR] docs: refresh SF1000 benchmark results on 2x16-core AQE-on reference cluster [datafusion-ballista] via GitHub
• [PR] refactor: unify shuffle configs under `spark.comet.shuffle.*` prefix [datafusion-comet] via GitHub
  • Re: [PR] refactor: unify shuffle configs under `spark.comet.shuffle.*` prefix [datafusion-comet] via GitHub
  • Re: [PR] refactor: unify shuffle configs under `spark.comet.shuffle.*` prefix [datafusion-comet] via GitHub
  • Re: [PR] refactor: unify shuffle configs under `spark.comet.shuffle.*` prefix [datafusion-comet] via GitHub
  • Re: [PR] refactor: unify shuffle configs under `spark.comet.shuffle.*` prefix [datafusion-comet] via GitHub
  • Re: [PR] refactor: unify shuffle configs under `spark.comet.shuffle.*` prefix [datafusion-comet] via GitHub
  • Re: [PR] refactor: unify shuffle configs under `spark.comet.shuffle.*` prefix [datafusion-comet] via GitHub
  • Re: [PR] refactor: unify shuffle configs under `spark.comet.shuffle.*` prefix [datafusion-comet] via GitHub
• Re: [PR] Cap SortPreservingMerge statistics by fetch [datafusion] via GitHub
  • Re: [PR] Cap SortPreservingMerge statistics by fetch [datafusion] via GitHub
• Re: [PR] fix: Preserve metadata when a cross-join is swapped [datafusion] via GitHub
  • Re: [PR] fix: Preserve metadata when a cross-join is swapped [datafusion] via GitHub
  • Re: [PR] fix: Preserve metadata when a cross-join is swapped [datafusion] via GitHub
  • Re: [PR] fix: Preserve metadata when a cross-join is swapped [datafusion] via GitHub
  • Re: [PR] fix: Preserve metadata when a cross-join is swapped [datafusion] via GitHub
  • Re: [PR] fix: Preserve metadata when a cross-join is swapped [datafusion] via GitHub
• [I] PostgreSQL 18 generated virtual columns require STORED [datafusion-sqlparser-rs] via GitHub
• [PR] refactor: remove untested async columnar shuffle [datafusion-comet] via GitHub
  • Re: [PR] refactor: remove untested async columnar shuffle [datafusion-comet] via GitHub
  • Re: [PR] refactor: remove untested async columnar shuffle [datafusion-comet] via GitHub
  • Re: [PR] refactor: remove untested async columnar shuffle [datafusion-comet] via GitHub
• Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion] via GitHub
• Re: [PR] bench: parquet scan with a table schema narrower than a nested column [datafusion] via GitHub
  • Re: [PR] bench: parquet scan with a table schema narrower than a nested column [datafusion] via GitHub
• [I] Upstream Spark-compatible approx_count_distinct (HyperLogLogPlusPlus) to the datafusion-spark crate [datafusion-comet] via GitHub
• [PR] feat: spilling hash join operator (opt-in, inner joins) [datafusion-ballista] via GitHub
• Re: [PR] feat: complete range repartition physical planning [datafusion] via GitHub
  • Re: [PR] feat: complete range repartition physical planning [datafusion] via GitHub
  • Re: [PR] feat: complete range repartition physical planning [datafusion] via GitHub
  • Re: [PR] feat: complete range repartition physical planning [datafusion] via GitHub
• [PR] Unwrap Date32 <-> Date64 casts in comparison predicates [datafusion] via GitHub
  • Re: [PR] Unwrap Date32 <-> Date64 casts in comparison predicates [datafusion] via GitHub
  • Re: [PR] Unwrap widening Date32 -> Date64 casts in comparison predicates [datafusion] via GitHub
  • Re: [PR] Unwrap widening Date32 -> Date64 casts in comparison predicates [datafusion] via GitHub
  • Re: [PR] Unwrap widening Date32 -> Date64 casts in comparison predicates [datafusion] via GitHub
  • Re: [PR] Unwrap widening Date32 -> Date64 casts in comparison predicates [datafusion] via GitHub
  • Re: [PR] Unwrap widening Date32 -> Date64 casts in comparison predicates [datafusion] via GitHub
  • Re: [PR] Unwrap widening Date32 -> Date64 casts in comparison predicates [datafusion] via GitHub
  • Re: [PR] Unwrap widening Date32 -> Date64 casts in comparison predicates [datafusion] via GitHub
  • Re: [PR] Unwrap widening Date32 -> Date64 casts in comparison predicates [datafusion] via GitHub
• Re: [PR] perf: reuse quantile summary buffers during merge [datafusion-comet] via GitHub
• [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
  • Re: [PR] TEST: check performance with sparse masks [datafusion] via GitHub
• Re: [I] Register CometArrowAllocator as a Spark MemoryConsumer for JVM-UDF dispatch [datafusion-comet] via GitHub
• [PR] fix: unwrap identity Date cast in comparison unwrapping [datafusion] via GitHub
  • Re: [PR] fix: unwrap identity Date cast in comparison unwrapping [datafusion] via GitHub
  • Re: [PR] fix: unwrap identity Date cast in comparison unwrapping [datafusion] via GitHub
  • Re: [PR] fix: unwrap identity Date cast in comparison unwrapping [datafusion] via GitHub
  • Re: [PR] fix: unwrap identity Date cast in comparison unwrapping [datafusion] via GitHub
  • Re: [PR] fix: unwrap identity Date cast in comparison unwrapping [datafusion] via GitHub
  • Re: [PR] fix: unwrap identity Date cast in comparison unwrapping [datafusion] via GitHub
• Re: [I] Support dynamic filters for range co-partitioned joins [datafusion] via GitHub
  • Re: [I] Support dynamic filters for range co-partitioned joins [datafusion] via GitHub
  • Re: [I] Support dynamic filters for range co-partitioned joins [datafusion] via GitHub
  • Re: [I] Support dynamic filters for range co-partitioned joins [datafusion] via GitHub
  • Re: [I] Support dynamic filters for range co-partitioned joins [datafusion] via GitHub
• [PR] fix: executor hanging on ctrl+c [datafusion-ballista] via GitHub
  • Re: [PR] fix: executor hanging on ctrl+c [datafusion-ballista] via GitHub
• [I] Implement TimeType support - Time extraction (from TimeType to Int/Decimal) [datafusion-comet] via GitHub
  • Re: [I] Implement TimeType support - Time extraction (from TimeType to Int/Decimal) [datafusion-comet] via GitHub
• [PR] perf: dedupe Iceberg delete files by index in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg delete files by index in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg delete files by index in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg delete files by index in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg delete files by index in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg delete files by index in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg delete files by index in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg delete files by index in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
  • Re: [PR] perf: dedupe Iceberg residuals and delete files in native scan serde [datafusion-comet] via GitHub
• [PR] chore(join): refactor `BitwiseSortMergeJoinStream` to use generators instead of manual state [datafusion] via GitHub
  • Re: [PR] chore(join): refactor `BitwiseSortMergeJoinStream` to use generators instead of manual state [datafusion] via GitHub
• [PR] chore: remove dead Parquet parallel-IO configs [datafusion-comet] via GitHub
  • Re: [PR] chore: remove dead Parquet parallel-IO configs [datafusion-comet] via GitHub
  • Re: [PR] chore: remove dead Parquet parallel-IO configs [datafusion-comet] via GitHub
  • Re: [PR] chore: remove dead Parquet parallel-IO configs [datafusion-comet] via GitHub
• Re: [PR] fix: skip dynamic filter pushdown for null-aware anti joins with a nullable build key [datafusion] via GitHub
  • Re: [PR] fix: skip dynamic filter pushdown for null-aware anti joins with a nullable build key [datafusion] via GitHub
  • Re: [PR] fix: skip dynamic filter pushdown for null-aware anti joins with a nullable build key [datafusion] via GitHub
  • Re: [PR] fix: skip dynamic filter pushdown for null-aware anti joins with a nullable build key [datafusion] via GitHub
  • Re: [PR] fix: skip dynamic filter pushdown for null-aware anti joins with a nullable build key [datafusion] via GitHub
  • Re: [PR] fix: skip dynamic filter pushdown for null-aware anti joins with a nullable build key [datafusion] via GitHub
  • Re: [PR] fix: skip dynamic filter pushdown for null-aware anti joins with a nullable build key [datafusion] via GitHub
  • Re: [PR] fix: skip dynamic filter pushdown for null-aware anti joins with a nullable build key [datafusion] via GitHub
• Re: [I] (Informational) AI driven performance analysis of scan implementation across plain Spark, Velox, and Comet [datafusion-comet] via GitHub
  • Re: [I] (Informational) AI driven performance analysis of scan implementation across plain Spark, Velox, and Comet [datafusion-comet] via GitHub
  • Re: [I] (Informational) AI driven performance analysis of scan implementation across plain Spark, Velox, and Comet [datafusion-comet] via GitHub
• Re: [I] Spark 4.2: native Iceberg REST catalog scan test fails under Comet [datafusion-comet] via GitHub
• Re: [I] Native implementation of `get_json_object` returns last value for duplicate keys, Spark returns first [datafusion-comet] via GitHub
• Re: [I] cast string to boolean: trim ISO control bytes to match Spark's UTF8String.trimAll [datafusion-comet] via GitHub
• Re: [PR] Add optional native Lance scan support [datafusion-comet] via GitHub
  • Re: [PR] Add optional native Lance scan support [datafusion-comet] via GitHub
• Re: [PR] fix: avoid panic in array_position start_from near i64::MIN [datafusion] via GitHub
  • Re: [PR] fix: avoid panic in array_position start_from near i64::MIN [datafusion] via GitHub
• Re: [PR] feat: removed all instances of deprecated virtualtable values field [datafusion] via GitHub
  • Re: [PR] feat: removed all instances of deprecated virtualtable values field [datafusion] via GitHub
  • Re: [PR] feat: removed all instances of deprecated virtualtable values field [datafusion] via GitHub
  • Re: [PR] feat: removed all instances of deprecated virtualtable values field [datafusion] via GitHub
  • Re: [PR] feat: removed all instances of deprecated virtualtable values field [datafusion] via GitHub
• [I] Bug triage results: 2026-07-20 [datafusion-comet] via GitHub
• Re: [PR] Added support for unpivot in Redshift with expression and bracketsless [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Added support for unpivot in Redshift with expression and bracketsless [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Added support for unpivot in Redshift with expression and bracketsless [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Added support for unpivot in Redshift with expression and bracketsless [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Added support for unpivot in Redshift with expression and bracketsless [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Added support for unpivot in Redshift with expression and bracketsless [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Added support for unpivot in Redshift with expression and bracketsless [datafusion-sqlparser-rs] via GitHub
• Re: [PR] feat: support approx_count_distinct aggregate expression [datafusion-comet] via GitHub
  • Re: [PR] feat: support approx_count_distinct aggregate expression [datafusion-comet] via GitHub
  • Re: [PR] feat: support approx_count_distinct aggregate expression [datafusion-comet] via GitHub
• Re: [PR] feat(parquet): implement file commit protocol for native Parquet writes [datafusion-comet] via GitHub
• [PR] Js/benchmark 4 dynamic filtering alternatives [datafusion] via GitHub

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