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• Re: [I] Add support for Spark-compatible `explode_outer` function for arrays [datafusion] via GitHub
• [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
  • Re: [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
  • Re: [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
  • Re: [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
  • Re: [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
  • Re: [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
  • Re: [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
  • Re: [PR] Fix volatile scalar subquery deduplication [datafusion] via GitHub
• [PR] feat: prototype allocator-level OOM circuit breaker (OomGuard) [datafusion-comet] via GitHub
  • Re: [PR] feat: prototype allocator-level OOM circuit breaker (OomGuard) [datafusion-comet] via GitHub
  • Re: [PR] feat: prototype allocator-level OOM circuit breaker (OomGuard) [datafusion-comet] via GitHub
• [PR] fix: ln() of negative or zero should error to match PostgreSQL [datafusion] via GitHub
  • Re: [PR] fix: ln() of negative or zero should error to match PostgreSQL [datafusion] via GitHub
  • Re: [PR] fix: ln() of negative or zero should error to match PostgreSQL [datafusion] via GitHub
  • Re: [PR] fix: ln() of negative or zero should error to match PostgreSQL [datafusion] via GitHub
  • Re: [PR] fix: ln() of negative or zero should error to match PostgreSQL [datafusion] via GitHub
• [PR] fix(spark): next_day should not trim whitespace from dayOfWeek [datafusion] via GitHub
  • Re: [PR] fix(spark): next_day should not trim whitespace from dayOfWeek [datafusion] via GitHub
  • Re: [PR] fix(spark): next_day should not trim whitespace from dayOfWeek [datafusion] via GitHub
  • Re: [PR] fix(spark): next_day should not trim whitespace from dayOfWeek [datafusion] via GitHub
  • Re: [PR] fix(spark): next_day should not trim whitespace from dayOfWeek [datafusion] via GitHub
  • Re: [PR] fix(spark): next_day should not trim whitespace from dayOfWeek [datafusion] via GitHub
• [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
  • Re: [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
  • Re: [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
  • Re: [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
  • Re: [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
  • Re: [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
  • Re: [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
  • Re: [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
  • Re: [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
  • Re: [PR] perf(logical-plan): box CreateExternalTable / CreateFunction in DdlStatement (-45% LogicalPlan size) [datafusion] via GitHub
• [I] perf: LogicalPlan enum is 320 bytes due to oversized DdlStatement variants [datafusion] via GitHub
  • Re: [I] perf: LogicalPlan enum is 320 bytes due to oversized DdlStatement variants [datafusion] via GitHub
• [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
  • Re: [PR] Add Comet collaboration blog post [datafusion-site] via GitHub
• Re: [I] [Bug] array_distinct / array_union / array_except do not canonicalize NaN like Spark [datafusion-comet] via GitHub
  • Re: [I] [Bug] array_distinct / array_union / array_except do not canonicalize NaN like Spark [datafusion-comet] via GitHub
  • Re: [I] [Bug] array_distinct / array_union / array_except do not canonicalize NaN like Spark [datafusion-comet] via GitHub
• [PR] feature: add regexp_extract [datafusion] via GitHub
  • Re: [PR] feature: add regexp_extract [datafusion] via GitHub
• [PR] ci: add fast syntactic-only scalafix gate [datafusion-comet] via GitHub
  • Re: [PR] ci: add fast syntactic-only scalafix gate [datafusion-comet] via GitHub
• Re: [PR] perf: early termination for right semi/anti hash joins [datafusion] via GitHub
  • Re: [PR] perf: early termination for right semi/anti hash joins [datafusion] via GitHub
• [PR] chore(ci): Try to use more MacOS Github hosted runners [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): Use MacOS Github hosted runners for the small CI checks [datafusion-ballista] via GitHub
• [PR] Improve error message on cast structs to have non-nullable inner-fields [datafusion] via GitHub
  • Re: [PR] Improve error message on cast structs [datafusion] via GitHub
  • Re: [PR] Improve error message on invalid casts for structs [datafusion] via GitHub
  • Re: [PR] Improve error message on invalid casts for structs [datafusion] via GitHub
  • Re: [PR] Improve error message on invalid casts for structs [datafusion] via GitHub
  • Re: [PR] Improve error message on invalid casts for structs [datafusion] via GitHub
  • Re: [PR] Improve error message on invalid casts for structs [datafusion] via GitHub
• Re: [I] Deduplicate uncorrelated scalar subqueries [datafusion] via GitHub
• Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
• [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
  • Re: [PR] refactor: Split hash aggregation logic into separated streams [datafusion] via GitHub
• [PR] feat: support size() for MapType input (#4472) [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input (#4472) [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input (#4472) [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input (#4472) [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input (#4472) [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input (#4472) [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input (#4472) [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input (#4472) [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input (#4472) [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input [datafusion-comet] via GitHub
  • Re: [PR] feat: support size() for MapType input [datafusion-comet] via GitHub
• Re: [I] Make Eq with negative float zero compat with other engines [datafusion] via GitHub
  • Re: [I] Make Eq with negative float zero compat with other engines [datafusion] via GitHub
  • Re: [I] Make Eq with negative float zero compat with other engines [datafusion] via GitHub
• Re: [I] panic: nth_value window function negates i64::MIN [datafusion] via GitHub
• [PR] feat(aqe): add `plan_id` to dynamic join [datafusion-ballista] via GitHub
  • Re: [PR] minor(aqe): add `plan_id` to dynamic join [datafusion-ballista] via GitHub
• [PR] feat(tui): Show shimmer animation for "Queued" and "Running" jobs [datafusion-ballista] via GitHub
  • Re: [PR] feat(tui): Show shimmer animation for "Queued" and "Running" jobs [datafusion-ballista] via GitHub
  • Re: [PR] feat(tui): Show shimmer animation for "Queued" and "Running" jobs [datafusion-ballista] via GitHub
  • Re: [PR] feat(tui): Show shimmer animation for "Queued" and "Running" jobs [datafusion-ballista] via GitHub
  • Re: [PR] feat(tui): Show shimmer animation for "Queued" and "Running" jobs [datafusion-ballista] via GitHub
• Re: [I] Port `TryCastExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• Re: [PR] fix: avoid extraneous casts for equivalent nested types [datafusion] via GitHub
  • Re: [PR] fix: avoid extraneous casts for equivalent nested types [datafusion] via GitHub
  • Re: [PR] fix: avoid extraneous casts for equivalent nested types [datafusion] via GitHub
  • Re: [PR] fix: avoid extraneous casts for equivalent nested types [datafusion] via GitHub
  • Re: [PR] fix: avoid extraneous casts for equivalent nested types [datafusion] via GitHub
• [PR] perf(optimizer): generic in-place mutable rewrite to obsolete per-rule fast-paths [datafusion] via GitHub
  • Re: [PR] perf(optimizer): generic in-place mutable rewrite to obsolete per-rule fast-paths [datafusion] via GitHub
  • Re: [PR] perf(optimizer): generic in-place mutable rewrite to obsolete per-rule fast-paths [datafusion] via GitHub
  • Re: [PR] perf(optimizer): generic in-place mutable rewrite to obsolete per-rule fast-paths [datafusion] via GitHub
  • Re: [PR] perf(optimizer): generic in-place mutable rewrite to obsolete per-rule fast-paths [datafusion] via GitHub
  • Re: [PR] perf(optimizer): generic in-place mutable rewrite to obsolete per-rule fast-paths [datafusion] via GitHub
  • Re: [PR] perf(optimizer): generic in-place mutable rewrite to obsolete per-rule fast-paths [datafusion] via GitHub
• Re: [I] DataFusion evaluates -0.0 >= 0.0 as false [datafusion] via GitHub
  • Re: [I] DataFusion evaluates -0.0 >= 0.0 as false [datafusion] via GitHub
• [PR] fix: codegen dispatcher returns NULL for invalid try_make_timestamp inputs (#4554) [datafusion-comet] via GitHub
  • Re: [PR] fix: codegen dispatcher returns NULL for invalid try_make_timestamp inputs (#4554) [datafusion-comet] via GitHub
• Re: [I] [Feature] support size() for MapType inputs [datafusion-comet] via GitHub
• [PR] fix: array_size returns -1 instead of null for null input [datafusion-comet] via GitHub
  • Re: [PR] fix: array_size returns -1 instead of null for null input [datafusion-comet] via GitHub
  • Re: [PR] fix: array_size returns -1 instead of null for null input [datafusion-comet] via GitHub
• [PR] fix: regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [PR] fix: regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [PR] fix: regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [PR] fix: regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [PR] fix: regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [PR] fix: regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [PR] fix: regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [PR] fix: regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [PR] fix: regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
• [I] Regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [I] Regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
  • Re: [I] Regex simplification of anchored patterns produces wrong results [datafusion] via GitHub
• Re: [PR] fix: unify ordering display with optimization path [datafusion] via GitHub
• Re: [PR] Skip zero-fill of hash buffer by writing null sentinels [datafusion] via GitHub
• Re: [I] sqllogictest fails with default feature set [datafusion] via GitHub
• Re: [PR] chore: Make sqllogictest pass with default features [datafusion] via GitHub
  • Re: [PR] chore: Make sqllogictest pass with default features [datafusion] via GitHub
• Re: [I] bug: Describe fails when schema has FixedBinarySize columns [datafusion] via GitHub
  • Re: [I] bug: Describe fails when schema has FixedBinarySize columns [datafusion] via GitHub
• Re: [I] Add `fill_null` on dataframe/expr level [datafusion] via GitHub
• [PR] fix: Correct computation of multi-key join selectivity [datafusion] via GitHub
  • Re: [PR] fix: Correct computation of selectivity for multi-key joins [datafusion] via GitHub
• [I] `estimate_inner_join_cardinality` is incorrect for multi-key joins [datafusion] via GitHub
  • Re: [I] `estimate_inner_join_cardinality` is incorrect for multi-key joins [datafusion] via GitHub
  • Re: [I] `estimate_inner_join_cardinality` is incorrect for multi-key joins [datafusion] via GitHub
• [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub
  • Re: [I] NestedLoopJoinExec spill path: untracked allocation overshoots memory pool [datafusion] via GitHub

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