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• • Re: [PR] fix: raise CAST_INVALID_INPUT for invalid calendar dates in ANSI cast to date [datafusion-comet] via GitHub
  • Re: [PR] fix: raise CAST_INVALID_INPUT for invalid calendar dates in ANSI cast to date [datafusion-comet] via GitHub
  • Re: [PR] fix: raise CAST_INVALID_INPUT for invalid calendar dates in ANSI cast to date [datafusion-comet] via GitHub
  • Re: [PR] fix: raise CAST_INVALID_INPUT for invalid calendar dates in ANSI cast to date [datafusion-comet] via GitHub
  • Re: [PR] fix: raise CAST_INVALID_INPUT for invalid calendar dates in ANSI cast to date [datafusion-comet] via GitHub
  • Re: [PR] fix: raise CAST_INVALID_INPUT for invalid calendar dates in ANSI cast to date [datafusion-comet] via GitHub
• [I] Native Parquet scan ignores INT96 legacy-calendar rebase, returning silently wrong timestamps [datafusion-comet] via GitHub
  • Re: [I] Native Parquet scan ignores INT96 legacy-calendar rebase, returning silently wrong timestamps [datafusion-comet] via GitHub
  • Re: [I] Native Parquet scan ignores INT96 legacy-calendar rebase, returning silently wrong timestamps [datafusion-comet] via GitHub
• Re: [I] Audit Spark SQL configs that affect query semantics and ensure Comet honors them (or falls back) [datafusion-comet] via GitHub
• [I] Native panic casting to negative-scale decimal when spark.sql.legacy.allowNegativeScaleOfDecimal=true [datafusion-comet] via GitHub
  • Re: [I] Native panic casting to negative-scale decimal when spark.sql.legacy.allowNegativeScaleOfDecimal=true [datafusion-comet] via GitHub
  • Re: [I] Native panic casting to negative-scale decimal when spark.sql.legacy.allowNegativeScaleOfDecimal=true [datafusion-comet] via GitHub
• [I] ANSI mode: cast(string as date) returns NULL instead of throwing for invalid calendar dates [datafusion-comet] via GitHub
  • Re: [I] ANSI mode: cast(string as date) returns NULL instead of throwing for invalid calendar dates [datafusion-comet] via GitHub
• [I] Native Parquet scan ignores legacy-calendar rebase, returning silently wrong dates/timestamps [datafusion-comet] via GitHub
  • Re: [I] Datetime rebase: track the documented scan limitation, and spark.comet.exceptionOnDatetimeRebase is dead code [datafusion-comet] via GitHub
• Re: [PR] chore: fallback to Spark if legacy sql configurations are set [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback to Spark if legacy sql configurations are set [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback to Spark if legacy sql configurations are set [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback to Spark if legacy sql configurations are set [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback to Spark if legacy sql configurations are set [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback to Spark if legacy sql configurations are set [datafusion-comet] via GitHub
• Re: [PR] PostgreSQL: Support SQL standard `ARRAY` keyword in type declarations [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support SQL standard `ARRAY` keyword in type declarations [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support SQL standard `ARRAY` keyword in type declarations [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support SQL standard `ARRAY` keyword in type declarations [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support SQL standard `ARRAY` keyword in type declarations [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support SQL standard `ARRAY` keyword in type declarations [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support SQL standard `ARRAY` keyword in type declarations [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: Support SQL standard `ARRAY` keyword in type declarations [datafusion-sqlparser-rs] via GitHub
• Re: [PR] feat: build gate + inert wiring for contrib Delta scans [Delta contrib split, part 2] [datafusion-comet] via GitHub
  • Re: [PR] feat: build gate + inert wiring for contrib Delta scans [Delta contrib split, part 2] [datafusion-comet] via GitHub
  • Re: [PR] feat: build gate + inert wiring for contrib Delta scans [Delta contrib split, part 2] [datafusion-comet] via GitHub
  • Re: [PR] feat: build gate + inert wiring for contrib Delta scans [Delta contrib split, part 2] [datafusion-comet] via GitHub
  • Re: [PR] feat: build gate + inert wiring for contrib Delta scans [Delta contrib split, part 2] [datafusion-comet] via GitHub
• Re: [I] Proto: migrate UnionExec + InterleaveExec [datafusion] via GitHub
• Re: [I] array_any_value returns wrong value / panics for empty list elements [datafusion] via GitHub
• [PR] refactor(proto): migrate HashJoinExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate HashJoinExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate HashJoinExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate HashJoinExec serde [datafusion] via GitHub
• [PR] docs: add upstream-comet-expression skill [datafusion-comet] via GitHub
• Re: [I] [DISCUSS] Add open table format support. [datafusion-ballista] via GitHub
  • Re: [I] [DISCUSS] Add open table format support. [datafusion-ballista] via GitHub
  • Re: [I] [DISCUSS] Add open table format support. [datafusion-ballista] via GitHub
• Re: [I] Proto: migrate CrossJoinExec + NestedLoopJoinExec [datafusion] via GitHub
• Re: [I] Proto: migrate RepartitionExec [datafusion] via GitHub
• [PR] feat: add Spark date_from_unix_date function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: add Spark date_from_unix_date function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: add Spark date_from_unix_date function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: add Spark date_from_unix_date function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: add Spark date_from_unix_date function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: add Spark date_from_unix_date function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: add Spark date_from_unix_date function to datafusion-spark [datafusion] via GitHub
  • Re: [PR] feat: add Spark date_from_unix_date function to datafusion-spark [datafusion] via GitHub
• Re: [I] Release Ballista 54.0.0 [datafusion-ballista] via GitHub
  • Re: [I] Release Ballista 54.0.0 [datafusion-ballista] via GitHub
• Re: [I] Support Meaningful Task ID [datafusion] via GitHub
• Re: [PR] refactor(proto): migrate GlobalLimitExec and LocalLimitExec serde [datafusion] via GitHub
• Re: [I] Proto: migrate GlobalLimitExec + LocalLimitExec [datafusion] via GitHub
• Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
  • Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
• [PR] Prune parquet row groups using fully dictionary-encoded columns [datafusion] via GitHub
  • Re: [PR] Prune parquet row groups using fully dictionary-encoded columns [datafusion] via GitHub
  • Re: [PR] Prune parquet row groups using fully dictionary-encoded columns [datafusion] via GitHub
• [PR] docs: refresh benchmarking.md with current SF1000 results (Ballista main @ 696ca29b, Spark 3.4 baseline) [datafusion-ballista] via GitHub
  • Re: [PR] docs: refresh benchmarking.md with current SF1000 results (Ballista main @ 696ca29b, Spark 3.4 baseline) [datafusion-ballista] via GitHub
  • Re: [PR] docs: refresh benchmarking.md with current SF1000 results (Ballista main @ 696ca29b, Spark 3.4 baseline) [datafusion-ballista] via GitHub
  • Re: [PR] docs: refresh benchmarking.md with current SF1000 results (Ballista main @ 696ca29b, Spark 3.4 baseline) [datafusion-ballista] via GitHub
  • Re: [PR] docs: refresh benchmarking.md with current SF1000 results (Ballista main @ 696ca29b, Spark 3.4 baseline) [datafusion-ballista] via GitHub
  • Re: [PR] docs: refresh benchmarking.md with current SF1000 results (Ballista main @ 696ca29b, Spark 3.4 baseline) [datafusion-ballista] via GitHub
  • Re: [PR] docs: refresh benchmarking.md with current SF1000 results (Ballista main @ 696ca29b, Spark 3.4 baseline) [datafusion-ballista] via GitHub
  • Re: [PR] docs: refresh benchmarking.md with current SF1000 results (Ballista main @ 696ca29b, Spark 3.4 baseline) [datafusion-ballista] via GitHub
• [I] perf: reuse Arrow IPC CompressionContext across shuffle blocks instead of per-batch allocation [datafusion-comet] via GitHub
  • Re: [I] perf: reuse Arrow IPC CompressionContext across shuffle blocks instead of per-batch allocation [datafusion-comet] via GitHub
• Re: [I] EPIC: complete GroupValuesColumn type coverage (nested types + remaining primitives) [datafusion] via GitHub
• Re: [PR] refactor(proto): migrate RepartitionExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate RepartitionExec serde [datafusion] via GitHub
• Re: [PR] refactor(proto): migrate UnionExec and InterleaveExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate UnionExec and InterleaveExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate UnionExec and InterleaveExec serde [datafusion] via GitHub
• Re: [I] Avoid per-row String allocation when hex-encoding digest output (md5, sha1, sha2) [datafusion] via GitHub
  • Re: [I] Avoid per-row String allocation when hex-encoding digest output (md5, sha1, sha2) [datafusion] via GitHub
  • Re: [I] Avoid per-row String allocation when hex-encoding digest output (md5, sha1, sha2) [datafusion] via GitHub
• [PR] fix: reproduce function registry deterministically in SessionStateBuilder::new_from_existing [datafusion] via GitHub
  • Re: [PR] fix: reproduce function registry deterministically in SessionStateBuilder::new_from_existing [datafusion] via GitHub
  • Re: [PR] fix: reproduce function registry deterministically in SessionStateBuilder::new_from_existing [datafusion] via GitHub
  • Re: [PR] fix: reproduce function registry deterministically in SessionStateBuilder::new_from_existing [datafusion] via GitHub
  • Re: [PR] fix: reproduce function registry deterministically in SessionStateBuilder::new_from_existing [datafusion] via GitHub
  • Re: [PR] fix: reproduce function registry deterministically in SessionStateBuilder::new_from_existing [datafusion] via GitHub
  • Re: [PR] fix: reproduce function registry deterministically in SessionStateBuilder::new_from_existing [datafusion] via GitHub
• Re: [I] Proto: migrate UnnestExec [datafusion] via GitHub
• Re: [PR] refactor(proto): migrate SortExec and SortPreservingMergeExec serde [datafusion] via GitHub
• Re: [I] Proto: migrate SortExec + SortPreservingMergeExec [datafusion] via GitHub
• [PR] feat: add GroupColumn support for Decimal256 in multi-column GROUP BY [datafusion] via GitHub
  • Re: [PR] feat: add GroupColumn support for Decimal256 in multi-column GROUP BY [datafusion] via GitHub
  • Re: [PR] feat: add GroupColumn support for Decimal256 in multi-column GROUP BY [datafusion] via GitHub
  • Re: [PR] feat: add GroupColumn support for Decimal256 in multi-column GROUP BY [datafusion] via GitHub
  • Re: [PR] feat: add GroupColumn support for Decimal256 in multi-column GROUP BY [datafusion] via GitHub
• Re: [I] Comet throws `java.lang.NegativeArraySizeException` [datafusion-comet] via GitHub
• [PR] feat(executor): default to a bounded, auto-sized memory pool [datafusion-ballista] via GitHub
  • Re: [PR] feat(executor): default to a bounded, auto-sized memory pool [datafusion-ballista] via GitHub
  • Re: [PR] feat(executor): default to a bounded, auto-sized memory pool [datafusion-ballista] via GitHub
• Re: [PR] refactor(proto): migrate UnnestExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate UnnestExec serde [datafusion] via GitHub
• Re: [I] Logical rewrite: Filter(row_number() = 1) over PARTITION BY → Aggregate(FIRST_VALUE(... ORDER BY)) [datafusion] via GitHub
• [I] CI: non-gating label (e.g. auto-added `performance`) spawns a phantom all-skipped CI run that shadows real checks [datafusion-comet] via GitHub
• Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
  • Re: [PR] Proto: add DataSink serialization hook [datafusion] via GitHub
• Re: [PR] refactor(proto): migrate symmetric hash join serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate symmetric hash join serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate symmetric hash join serde [datafusion] via GitHub
• Re: [PR] feat: migrate EmptyExec and PlaceholderRowExec to ExecutionPlan proto hooks [datafusion] via GitHub
  • Re: [PR] feat: migrate EmptyExec and PlaceholderRowExec to ExecutionPlan proto hooks [datafusion] via GitHub
  • Re: [PR] feat: migrate EmptyExec and PlaceholderRowExec to ExecutionPlan proto hooks [datafusion] via GitHub
• Re: [PR] feat: add native GroupsAccumulator for any_value [datafusion] via GitHub
• Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
  • Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
  • Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
• Re: [PR] refactor(proto): delegate deprecated ProjectionExec serde shims to new hooks [datafusion] via GitHub
• [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
  • Re: [PR] perf: encode shuffle IPC schema once per writer instead of per block [datafusion-comet] via GitHub
• [PR] perf: reuse zstd context and pre-encode IPC schema in shuffle blocks [experimental] [datafusion-comet] via GitHub
  • Re: [PR] perf: reuse zstd context and pre-encode IPC schema in shuffle blocks [experimental] [datafusion-comet] via GitHub
  • Re: [PR] perf: reuse zstd context and pre-encode IPC schema in shuffle blocks [experimental] [datafusion-comet] via GitHub
• [PR] fix: Handle null-aware joins correctly in `FilterNullJoinKeys` when its enabled [datafusion] via GitHub
  • Re: [PR] fix: Handle null-aware joins correctly in `FilterNullJoinKeys` when its enabled [datafusion] via GitHub
  • Re: [PR] fix: Handle null-aware joins correctly in `FilterNullJoinKeys` when its enabled [datafusion] via GitHub
• [I] Optimizer rule `FilterNullJoinKeys` causes null-aware joins to return incorrect results [datafusion] via GitHub
  • Re: [I] Optimizer rule `FilterNullJoinKeys` causes null-aware joins to return incorrect results [datafusion] via GitHub
• Re: [PR] feat: Support null aware hash mark-joins [datafusion] via GitHub
  • Re: [PR] feat: Support null aware hash mark-joins [datafusion] via GitHub
• [PR] chore: remove Github filter `status:success` for `pending PR` shield [datafusion] via GitHub
  • Re: [PR] chore: remove Github filter `status:success` for `pending PR` shield [datafusion] via GitHub
  • Re: [PR] chore: remove Github filter `status:success` for `pending PR` shield [datafusion] via GitHub
  • Re: [PR] chore: remove Github filter `status:success` for `pending PR` shield [datafusion] via GitHub
• Re: [PR] Optimize Spark hex null handling [datafusion] via GitHub
  • Re: [PR] Optimize Spark hex null handling [datafusion] via GitHub
  • Re: [PR] Optimize Spark hex null handling [datafusion] via GitHub
  • Re: [PR] Optimize Spark hex null handling [datafusion] via GitHub
  • Re: [PR] Optimize Spark hex null handling [datafusion] via GitHub
  • Re: [PR] Optimize Spark hex null handling [datafusion] via GitHub
• [PR] fix(substrait): handle read filters and projections [datafusion] via GitHub
  • Re: [PR] fix(substrait): handle read filters and projections [datafusion] via GitHub
• Re: [I] `concat` should NOT be reported as preserve lex ordering - wrong output [datafusion] via GitHub
• Re: [I] Correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
  • Re: [I] Correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
• [PR] fix: align physical CASE nullability through casts [datafusion] via GitHub
  • Re: [PR] fix: align physical CASE nullability through casts [datafusion] via GitHub
  • Re: [PR] fix: align physical CASE nullability through casts [datafusion] via GitHub
  • Re: [PR] fix: align physical CASE nullability through casts [datafusion] via GitHub
  • Re: [PR] fix: align physical CASE nullability through casts [datafusion] via GitHub
  • Re: [PR] fix: align physical CASE nullability through casts [datafusion] via GitHub
  • Re: [PR] fix: align physical CASE nullability through casts [datafusion] via GitHub
  • Re: [PR] fix: align physical CASE nullability through casts [datafusion] via GitHub
• [PR] refactor join-key equality filtering [datafusion] via GitHub
  • Re: [PR] refactor join-key equality filtering [datafusion] via GitHub
  • Re: [PR] refactor join-key equality filtering [datafusion] via GitHub
  • Re: [PR] refactor join-key equality filtering [datafusion] via GitHub
  • Re: [PR] refactor join-key equality filtering [datafusion] via GitHub
  • Re: [PR] refactor join-key equality filtering [datafusion] via GitHub
  • Re: [PR] refactor join-key equality filtering [datafusion] via GitHub
• [PR] Refactor/planner contracts session [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub
  • Re: [PR] refactor: move planning APIs to session crate [datafusion] via GitHub

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