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• • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
• Re: [I] Add distinction between "info" and "fallback" messages [datafusion-comet] via GitHub
• [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
• [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
• [PR] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] [WIP] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] [WIP] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] [WIP] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
• [I] Allow co-partitioned range inputs to satisfy inner partitioned hash joins [datafusion] via GitHub
  • Re: [I] Allow co-partitioned range inputs to satisfy inner partitioned hash joins [datafusion] via GitHub
• [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
• [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Migrate ordered partial/final aggregation [datafusion] via GitHub
• [PR] fix: release interning state before terminal output to fix hash aggregate regression (#23178) [datafusion] via GitHub
  • Re: [PR] fix: release interning state before terminal output to fix hash aggregate regression (#23178) [datafusion] via GitHub
  • Re: [PR] fix: release interning state before terminal output to fix hash aggregate regression (#23178) [datafusion] via GitHub
• [I] Add a Benchmark for Planning Extension Nodes [datafusion] via GitHub
  • Re: [I] Add a Benchmark for Planning Extension Nodes [datafusion] via GitHub
• Re: [I] Refactor: Make join projection pushdown schema-aware via `ColumnIndex` / `JoinSide` [datafusion] via GitHub
• Re: [PR] feat: support nullary aggregate UDFs [datafusion] via GitHub
  • Re: [PR] feat: support nullary aggregate UDFs [datafusion] via GitHub
  • Re: [PR] feat: support nullary aggregate UDFs [datafusion] via GitHub
  • Re: [PR] feat: support nullary aggregate UDFs [datafusion] via GitHub
  • Re: [PR] feat: support nullary aggregate UDFs [datafusion] via GitHub
  • Re: [PR] feat: support nullary aggregate UDFs [datafusion] via GitHub
  • Re: [PR] feat: support nullary aggregate UDFs [datafusion] via GitHub
  • Re: [PR] feat: support nullary aggregate UDFs [datafusion] via GitHub
  • Re: [PR] feat: support nullary aggregate UDFs [datafusion] via GitHub
• [I] HashAggregate output regression after #23055: repeated `EmitTo::First` maintains unused GroupValues lookup state [datafusion] via GitHub
  • Re: [I] HashAggregate output regression after #23055: repeated `EmitTo::First` maintains unused GroupValues lookup state [datafusion] via GitHub
  • Re: [I] HashAggregate output regression after #23055: repeated `EmitTo::First` maintains unused GroupValues lookup state [datafusion] via GitHub
• [PR] feat(functions-aggregate): support sum(interval) [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support sum(interval) [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): support sum(interval) [datafusion] via GitHub
• [PR] chore(deps): bump rustyline from 17.0.2 to 18.0.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump rustyline from 17.0.2 to 18.0.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump rustyline from 17.0.2 to 18.0.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump rustyline from 17.0.2 to 18.0.1 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump uuid from 1.23.3 to 1.23.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump uuid from 1.23.3 to 1.23.4 [datafusion-ballista] via GitHub
• [PR] fix: unparse columns of stacked pushdown projections unqualified [datafusion] via GitHub
  • Re: [PR] fix: unparse columns of stacked pushdown projections unqualified [datafusion] via GitHub
  • Re: [PR] fix: unparse columns of stacked pushdown projections unqualified [datafusion] via GitHub
  • Re: [PR] fix: unparse columns of stacked pushdown projections unqualified [datafusion] via GitHub
  • Re: [PR] fix: unparse columns of stacked pushdown projections unqualified [datafusion] via GitHub
• [PR] [codex] Add query fusion optimizer POC [datafusion] via GitHub
  • Re: [PR] [codex POC] Add query fusion optimizer [datafusion] via GitHub
  • Re: [PR] [codex POC] Add query fusion optimizer [datafusion] via GitHub
• [I] Improve internal worker parallelism support [datafusion] via GitHub
  • Re: [I] Improve internal worker parallelism support [datafusion] via GitHub
  • Re: [I] Improve internal worker parallelism support [datafusion] via GitHub
  • Re: [I] Improve internal worker parallelism support [datafusion] via GitHub
  • Re: [I] Improve internal worker parallelism support [datafusion] via GitHub
• Re: [I] [Bug] make_timestamp does not throw under spark.sql.ansi.enabled=true [datafusion-comet] via GitHub
  • Re: [I] [Bug] make_timestamp does not throw under spark.sql.ansi.enabled=true [datafusion-comet] via GitHub
  • Re: [I] [Bug] make_timestamp does not throw under spark.sql.ansi.enabled=true [datafusion-comet] via GitHub
  • Re: [I] [Bug] make_timestamp does not throw under spark.sql.ansi.enabled=true [datafusion-comet] via GitHub
• Re: [PR] Parallelize `infer_schema` [datafusion] via GitHub
• Re: [PR] chore: Clarify rehash setting in hash utils [datafusion] via GitHub
• Re: [PR] fix(unparser): Fix column alias rewriting for Filter nodes preserved by Inexact filter pushdown [datafusion] via GitHub
• Re: [PR] Support arithmetic expressions in PruningPredicate for Parquet row gr… [datafusion] via GitHub
• Re: [PR] fix: make_array returns wrong row count for null-array input [datafusion] via GitHub
• [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] Support non-UTF-8 encoded CSV files [datafusion] via GitHub
• Re: [I] Investigate creating progress indicator [datafusion-python] via GitHub
• [PR] fix: restrict Substrait physical local file imports [datafusion] via GitHub
• [I] Substrait physical plan import should not accept arbitrary local file paths [datafusion] via GitHub
• Re: [I] TPC-DS q39 regression after adding primary key constraints: aggregate GROUP BY includes many unreferenced FD columns [datafusion] via GitHub
• [PR] Add ObjectStore-backed spill example [datafusion] via GitHub
  • Re: [PR] Add ObjectStore-backed spill example [datafusion] via GitHub
  • Re: [PR] Add ObjectStore-backed TempFileFactor / spill example [datafusion] via GitHub
  • Re: [PR] Add ObjectStore-backed TempFileFactor / spill example [datafusion] via GitHub
  • Re: [PR] Add ObjectStore-backed TempFileFactor / spill example [datafusion] via GitHub
  • Re: [PR] Add ObjectStore-backed TempFileFactor / spill example [datafusion] via GitHub
  • Re: [PR] Add ObjectStore-backed TempFileFactor / spill example [datafusion] via GitHub
• Re: [PR] feat: support exact percentile and median aggregates natively [datafusion-comet] via GitHub
  • Re: [PR] feat: support exact percentile and median aggregates natively [datafusion-comet] via GitHub
  • Re: [PR] feat: support exact percentile and median aggregates natively [datafusion-comet] via GitHub
  • Re: [PR] feat: support exact percentile and median aggregates natively [datafusion-comet] via GitHub
  • Re: [PR] feat: support exact percentile and median aggregates natively [datafusion-comet] via GitHub
  • Re: [PR] feat: support exact percentile and median aggregates natively [datafusion-comet] via GitHub
• Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
  • Re: [PR] IN LIST: add UInt16 bitmap filter [datafusion] via GitHub
• [I] Support fully-native multi-stage (distinct-combined) collect_list / collect_set [datafusion-comet] via GitHub
  • Re: [I] Support fully-native multi-stage (distinct-combined) collect_list / collect_set [datafusion-comet] via GitHub
• Re: [PR] [physical-plan]: remove deprecated spill_record_batch_by_size [datafusion] via GitHub
  • Re: [PR] [physical-plan]: remove deprecated spill_record_batch_by_size [datafusion] via GitHub
• [PR] Fix extension type metadata propagation through casts [datafusion] via GitHub
  • Re: [PR] Fix extension type metadata propagation through casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Align metadata propagation through Physical and Logical casts [datafusion] via GitHub
  • Re: [PR] Fix extension type metadata propagation through casts [datafusion] via GitHub

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