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• • Re: [I] [EPIC] Full lambda support [datafusion] via GitHub
• Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
  • Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
  • Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
  • Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
  • Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
  • Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
  • Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
  • Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
  • Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
  • Re: [PR] Add optimize_with_context to FFI_PhysicalOptimizerRule [datafusion] via GitHub
• [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add transform_values UDF [datafusion] via GitHub
  • Re: [PR] Add transform_values UDF [datafusion] via GitHub
  • Re: [PR] Add transform_values UDF [datafusion] via GitHub
  • Re: [PR] Add transform_values UDF [datafusion] via GitHub
  • Re: [PR] Add transform_values UDF [datafusion] via GitHub
  • Re: [PR] Add transform_values UDF [datafusion] via GitHub
  • Re: [PR] Add transform_values UDF [datafusion] via GitHub
• Re: [PR] Spark quote function implementation [datafusion] via GitHub
  • Re: [PR] Spark quote function implementation [datafusion] via GitHub
  • Re: [PR] Spark quote function implementation [datafusion] via GitHub
  • Re: [PR] Spark quote function implementation [datafusion] via GitHub
• Re: [PR] perf: avoid unnecessary large allocations [datafusion] via GitHub
  • Re: [PR] perf: avoid unnecessary large allocations [datafusion] via GitHub
  • Re: [PR] perf: avoid unnecessary large allocations [datafusion] via GitHub
• Re: [PR] Draft - Build and publish free-threaded Python wheels (cp313t/cp314t) across CI [datafusion-python] via GitHub
• Re: [PR] Gate new ScalarSubqueryExec node behind session property [datafusion] via GitHub
  • Re: [PR] Gate new ScalarSubqueryExec node behind session property [datafusion] via GitHub
  • Re: [PR] Gate new ScalarSubqueryExec node behind session property [datafusion] via GitHub
• Re: [PR] Refactor PushDownFilter benchmark suite: add fast default mode, validation, and unified A/B harness [datafusion] via GitHub
• Re: [PR] Make NDV merge order-invariant with multi-input overlap estimation [datafusion] via GitHub
• [I] [Refactor] Centralize checked byte-size and offset accounting for variable-size string builders [datafusion] via GitHub
• Re: [I] Out of memory when sorting [datafusion] via GitHub
  • Re: [I] Out of memory when sorting [datafusion] via GitHub
• Re: [I] `join_using` creates duplicate output fields [datafusion] via GitHub
• Re: [I] CREATE TABLE SQL support extension [datafusion] via GitHub
  • Re: [I] CREATE TABLE SQL support extension [datafusion] via GitHub
• Re: [I] TableReference From<&str> creates invalid table references [datafusion] via GitHub
  • Re: [I] TableReference From<&str> creates invalid table references [datafusion] via GitHub
• Re: [I] Add a nicer way to register user defined aggregates for use in SQL [datafusion] via GitHub
  • Re: [I] Add a nicer way to register user defined aggregates for use in SQL [datafusion] via GitHub
• Re: [I] Add type coercion/validation for `Is[Not]True` and similar statements [datafusion] via GitHub
  • Re: [I] Add type coercion/validation for `Is[Not]True` and similar statements [datafusion] via GitHub
• Re: [I] Add type checking to logical plan for `IsDistinctFrom / IsNotDistinctFrom` expressions [datafusion] via GitHub
  • Re: [I] Add type checking to logical plan for `IsDistinctFrom / IsNotDistinctFrom` expressions [datafusion] via GitHub
• [I] Make Scalar Distance Overflow-Aware and Domain-Sized [datafusion] via GitHub
  • Re: [I] Make Scalar Distance Overflow-Aware and Domain-Sized [datafusion] via GitHub
• Re: [I] `array[]` / `make_array()` will error if the types can not be coerced to a common type [datafusion] via GitHub
  • Re: [I] `array[]` / `make_array()` will error if the types can not be coerced to a common type [datafusion] via GitHub
• Re: [I] Should `Cast(UTF-8 AS Timestamp)` apply local time zone? [datafusion] via GitHub
  • Re: [I] Should `Cast(UTF-8 AS Timestamp)` apply local time zone? [datafusion] via GitHub
• Re: [I] IsDistinctFrom/IsNotDistinctFrom for decimal type [datafusion] via GitHub
  • Re: [I] IsDistinctFrom/IsNotDistinctFrom for decimal type [datafusion] via GitHub
• Re: [I] coercion rule about `eq` and InList between string type and numeric type [datafusion] via GitHub
  • Re: [I] coercion rule about `eq` and InList between string type and numeric type [datafusion] via GitHub
• Re: [I] Add `ObjectStore` support via SQL [datafusion] via GitHub
  • Re: [I] Add `ObjectStore` support via SQL [datafusion] via GitHub
• Re: [I] Improve `CASE` expr type coercion to be based on its input types [datafusion] via GitHub
  • Re: [I] Improve `CASE` expr type coercion to be based on its input types [datafusion] via GitHub
• Re: [I] Registering IPC Source into ExecutionContext or Loading Into DataFrame [datafusion] via GitHub
  • Re: [I] Registering IPC Source into ExecutionContext or Loading Into DataFrame [datafusion] via GitHub
• Re: [I] Optimizing queries with multiple aggregations where one Is aggregating on DISTINCT [datafusion] via GitHub
  • Re: [I] Optimizing queries with multiple aggregations where one Is aggregating on DISTINCT [datafusion] via GitHub
• Re: [I] Optimizer: IS NULL optimization [datafusion] via GitHub
  • Re: [I] Optimizer: IS NULL optimization [datafusion] via GitHub
• Re: [I] Improve statistics (umbrella issue) [datafusion] via GitHub
  • Re: [I] Improve statistics (umbrella issue) [datafusion] via GitHub
• Re: [I] Generate Tokio Runtime in ExecutionContext [datafusion] via GitHub
• Re: [I] Future of experimental optimizer datafusion-tokomak [datafusion] via GitHub
• Re: [I] Implement optimization rule for broadcast/CollectLeft hash join [datafusion] via GitHub
• [I] Refactor eliminate_outer_join null-rejection tracking to side-level state [datafusion] via GitHub
• Re: [PR] fix(array_agg): reverse ordering_values in state() when accumulator is reversed [datafusion] via GitHub
  • Re: [PR] fix(array_agg): reverse ordering_values in state() when accumulator is reversed [datafusion] via GitHub
• [I] Centralize checked timestamp scaling for DATE_BIN [datafusion] via GitHub
• [I] Share post-aggregate clause rebasing and validation logic in SQL planner [datafusion] via GitHub
• Re: [PR] Fix DataFusion drops grouped MIN/MAX rows with NULL sort keys under ORDER BY + LIMIT [datafusion] via GitHub
  • Re: [PR] Fix DataFusion drops grouped MIN/MAX rows with NULL sort keys under ORDER BY + LIMIT [datafusion] via GitHub
• [PR] Centralize unparser select-scope boundary logic and add characterization tests [datafusion] via GitHub
• Re: [PR] feat: Support Spark levenshtein expression in native execution [datafusion-comet] via GitHub
• Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
  • Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
• Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
• [I] feat: add GroupColumn support for List / Struct / Map / FixedSizeList in multi-column GROUP BY [datafusion] via GitHub
  • Re: [I] feat: add GroupColumn support for List / Struct / Map / FixedSizeList in multi-column GROUP BY [datafusion] via GitHub
  • Re: [I] feat: add GroupColumn support for List / Struct / Map / FixedSizeList in multi-column GROUP BY [datafusion] via GitHub
  • Re: [I] feat: add GroupColumn support for List / Struct / Map / FixedSizeList in multi-column GROUP BY [datafusion] via GitHub
  • Re: [I] feat: add GroupColumn support for List / Struct / Map / FixedSizeList in multi-column GROUP BY [datafusion] via GitHub
• [PR] Align grouped `first_value`/`last_value` FILTER handling with shared `Some(true)` semantics [datafusion] via GitHub
  • Re: [PR] Align grouped `first_value`/`last_value` FILTER handling with shared `Some(true)` semantics [datafusion] via GitHub
  • Re: [PR] Align grouped `first_value`/`last_value` FILTER handling with shared `Some(true)` semantics [datafusion] via GitHub
• Re: [PR] Infer placeholder type from ANY/ALL subquery, unit tests [datafusion] via GitHub
  • Re: [PR] Infer placeholder type from ANY/ALL subquery, unit tests [datafusion] via GitHub
  • Re: [PR] Infer placeholder type from ANY/ALL subquery, unit tests [datafusion] via GitHub
• Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
• [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
  • Re: [PR] Add imdb SQL benchmark [datafusion] via GitHub
• Re: [PR] fix(expr): coerce literal arguments in return_field_from_args for UDFs [datafusion] via GitHub
  • Re: [PR] fix(expr): coerce literal arguments in return_field_from_args for UDFs [datafusion] via GitHub
• Re: [PR] Teach row group pruning about struct field predicates [datafusion] via GitHub
  • Re: [PR] Teach row group pruning about struct field predicates [datafusion] via GitHub
• Re: [PR] optimizer: extract null-restriction evaluator and add syntactic fast-path with focused tests [datafusion] via GitHub
  • Re: [PR] optimizer: extract null-restriction evaluator and add syntactic fast-path with focused tests [datafusion] via GitHub
• Re: [PR] perf: optimize date subtraction to avoid intermediate array allocation [datafusion] via GitHub
  • Re: [PR] perf: optimize date subtraction to avoid intermediate array allocation [datafusion] via GitHub
  • Re: [PR] perf: optimize date subtraction to avoid intermediate array allocation [datafusion] via GitHub
  • Re: [PR] perf: optimize date subtraction to avoid intermediate array allocation [datafusion] via GitHub
  • Re: [PR] perf: optimize date subtraction to avoid intermediate array allocation [datafusion] via GitHub
• Re: [I] FFI: `FFI_ExecutionPlan` silently drops producer overrides of optimizer-relevant defaults [datafusion] via GitHub
• [PR] fix: Projection stats were Absent for columns referenced >1 time [datafusion] via GitHub
  • Re: [PR] fix: Projection stats were Absent for columns referenced >1 time [datafusion] via GitHub
  • Re: [PR] fix: Projection stats Absent for columns referenced >1 time [datafusion] via GitHub
  • Re: [PR] fix: Projection stats Absent for columns referenced >1 time [datafusion] via GitHub
• [I] Projection stats `Absent` for columns referenced >1 time [datafusion] via GitHub
  • Re: [I] Projection stats `Absent` for columns referenced >1 time [datafusion] via GitHub
  • Re: [I] Projection stats `Absent` for columns referenced >1 time [datafusion] via GitHub
• [PR] perf: batch hash join chain-traversal probe lookups for memory-level parallelism [datafusion] via GitHub
  • Re: [PR] perf: batch hash join chain-traversal probe lookups for memory-level parallelism [datafusion] via GitHub
  • Re: [PR] perf: batch hash join chain-traversal probe lookups for memory-level parallelism [datafusion] via GitHub
  • Re: [PR] perf: batch hash join chain-traversal probe lookups for memory-level parallelism [datafusion] via GitHub
  • Re: [PR] perf: batch hash join chain-traversal probe lookups for memory-level parallelism [datafusion] via GitHub
  • Re: [PR] perf: batch hash join chain-traversal probe lookups for memory-level parallelism [datafusion] via GitHub
  • Re: [PR] perf: batch hash join chain-traversal probe lookups for memory-level parallelism [datafusion] via GitHub
  • Re: [PR] perf: batch hash join chain-traversal probe lookups for memory-level parallelism [datafusion] via GitHub
  • Re: [PR] perf: batch hash join chain-traversal probe lookups for memory-level parallelism [datafusion] via GitHub
• [I] Tracking CTE Materalization work [datafusion] via GitHub
  • Re: [I] [EPIC] CTE Materalization [datafusion] via GitHub
  • Re: [I] [EPIC] CTE Materalization [datafusion] via GitHub
  • Re: [I] [EPIC] Subplan Materalization [datafusion] via GitHub
• Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
  • Re: [PR] perf: Reorder predicates in conjuncts via simple heuristic [datafusion] via GitHub
• [PR] feat: CTE materialization for multi-referenced CTEs [datafusion] via GitHub
  • Re: [PR] feat: CTE materialization for multi-referenced CTEs [datafusion] via GitHub
  • Re: [PR] Cache and materalize CTE with multiple references [Part 1 / 3] [datafusion] via GitHub
• [PR] fix: Correct join cardinality estimation for semi and anti joins with disjoint column ranges [datafusion] via GitHub
  • Re: [PR] fix: Correct join cardinality estimation for semi and anti joins with disjoint column ranges [datafusion] via GitHub
  • Re: [PR] fix: Correct join cardinality estimation for semi and anti joins with disjoint column ranges [datafusion] via GitHub
• [I] `estimate_join_cardinality` for semi-joins is buggy for non-join-key disjoint columns [datafusion] via GitHub
  • Re: [I] `estimate_join_cardinality` for semi-joins is buggy for non-join-key disjoint columns [datafusion] via GitHub
  • Re: [I] `estimate_join_cardinality` for semi-joins is buggy for non-join-key disjoint columns [datafusion] via GitHub
• [PR] feat: Native s3 write support [datafusion-comet] via GitHub

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