github  

Messages by Thread

• • Re: [PR] feat: Range Partitioning FFI [datafusion] via GitHub
• [I] Optimize redundant calls to UDFs producing `StructArray` [datafusion] via GitHub
  • Re: [I] Optimize redundant calls to UDFs producing `StructArray` [datafusion] via GitHub
• Re: [PR] chore: add `mimalloc` tests to assert `size` functions [datafusion] via GitHub
  • Re: [PR] chore: add `mimalloc` tests to assert `size` functions [datafusion] via GitHub
• Re: [I] SMJ + aggregate finish with one partition but stuck forever when number of partitions is big [datafusion] via GitHub
• [I] Live upgrade strategy [datafusion-ballista] via GitHub
  • Re: [I] Live upgrade strategy [datafusion-ballista] via GitHub
  • Re: [I] Live upgrade strategy [datafusion-ballista] via GitHub
  • Re: [I] Live upgrade strategy [datafusion-ballista] via GitHub
  • Re: [I] Live upgrade strategy [datafusion-ballista] via GitHub
  • Re: [I] Live upgrade strategy [datafusion-ballista] via GitHub
  • Re: [I] Live upgrade strategy [datafusion-ballista] via GitHub
• Re: [PR] docs: Update committer and PMC list [datafusion] via GitHub
  • Re: [PR] docs: Update committer and PMC list [datafusion] via GitHub
• [PR] feat: Implement TimeType support - Infrastructure - sort, min/max [datafusion-comet] via GitHub
  • Re: [PR] feat: Implement TimeType support - Infrastructure - sort, min/max [datafusion-comet] via GitHub
  • Re: [PR] feat: Implement TimeType support - Infrastructure - sort, min/max [datafusion-comet] via GitHub
  • Re: [PR] feat: Implement TimeType support - Infrastructure - sort, min/max [datafusion-comet] via GitHub
  • Re: [PR] feat: Implement TimeType support - Infrastructure - sort, min/max [datafusion-comet] via GitHub
  • Re: [PR] feat: Implement TimeType support - Infrastructure - sort, min/max [datafusion-comet] via GitHub
• Re: [PR] perf: optimize `regexp_match` for literal pattern usage (20% faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize `regexp_match` for literal pattern usage (20% faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize `regexp_match` for literal pattern usage (20% faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize `regexp_match` for literal pattern usage (20% faster) [datafusion] via GitHub
• Re: [PR] perf: optimize `replace` (2x faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize `replace` (2x faster) [datafusion] via GitHub
  • Re: [PR] perf: optimize `replace` (2x faster) [datafusion] via GitHub
• [PR] [branch-54] Resolve lost wakeup in SpillPoolReader with multiple conc… [datafusion] via GitHub
  • Re: [PR] [branch-54] Resolve lost wakeup in SpillPoolReader with multiple conc… [datafusion] via GitHub
• Re: [I] Increased memory usage due to round robin tie-breaker feature in SortPreservingMergeStream [datafusion] via GitHub
• [PR] bench: use seedable rng for reproducibility [datafusion] via GitHub
  • Re: [PR] bench: use seedable rng for reproducibility [datafusion] via GitHub
• Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
  • Re: [PR] feat: support co-partitioned range right-side equi hash joins [datafusion] via GitHub
• [I] bench: use seedable rng for reproducibility [datafusion] via GitHub
  • Re: [I] bench: use seedable rng for reproducibility [datafusion] via GitHub
• [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
  • Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion] via GitHub
• Re: [PR] Rename `task_slots` -> `vcores` (executor spec + CLI) [datafusion-ballista] via GitHub
  • Re: [PR] Rename `task_slots` -> `vcores` (executor spec + CLI) [datafusion-ballista] via GitHub
  • Re: [PR] Rename `task_slots` -> `vcores` (executor spec + CLI) [datafusion-ballista] via GitHub
  • Re: [PR] Rename `task_slots` -> `vcores` (executor spec + CLI) [datafusion-ballista] via GitHub
• Re: [PR] fix: dedup commutative AND/OR operands when canonicalize is disabled [datafusion] via GitHub
  • Re: [PR] fix: dedup commutative AND/OR operands when canonicalize is disabled [datafusion] via GitHub
• Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
  • Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista] via GitHub
• [PR] bench: add FixedSizeBinary coverage to multi_group_by benchmark [datafusion] via GitHub
  • Re: [PR] bench: add FixedSizeBinary coverage to multi_group_by benchmark [datafusion] via GitHub
  • Re: [PR] bench: add FixedSizeBinary coverage to multi_group_by benchmark [datafusion] via GitHub
  • Re: [PR] bench: add FixedSizeBinary coverage to multi_group_by benchmark [datafusion] via GitHub
  • Re: [PR] bench: add FixedSizeBinary coverage to multi_group_by benchmark [datafusion] via GitHub
• [PR] refactor: pass SubqueryContext explicitly through planner traits [datafusion] via GitHub
  • Re: [PR] refactor: pass SubqueryContext explicitly through planner traits [datafusion] via GitHub
  • Re: [PR] refactor: pass SubqueryContext explicitly through planner traits [datafusion] via GitHub
  • Re: [PR] refactor: pass SubqueryContext explicitly through planner traits [datafusion] via GitHub
  • Re: [PR] refactor: pass SubqueryContext explicitly through planner traits [datafusion] via GitHub
  • Re: [PR] refactor: pass SubqueryContext explicitly through planner traits [datafusion] via GitHub
  • Re: [PR] refactor: pass SubqueryContext explicitly through planner traits [datafusion] via GitHub
  • Re: [PR] refactor: pass SubqueryContext explicitly through planner traits [datafusion] via GitHub
• Re: [I] SQL Unparser generates incorrect column references [datafusion] via GitHub
• Re: [I] Allow `InterleaveExec` to preserve `Partitioning::Range` [datafusion] via GitHub
• Re: [PR] fix: align dictionary coercion across typed signatures [datafusion] via GitHub
• Re: [PR] feat: benchmark_runner, improve `--list`, optional `DATA_DIR` [datafusion] via GitHub
  • Re: [PR] feat: benchmark_runner, improve `--list`, optional `DATA_DIR` [datafusion] via GitHub
• Re: [PR] fix: preserve aggregate scope when unparsing [datafusion] via GitHub
  • Re: [PR] fix: preserve aggregate scope when unparsing [datafusion] via GitHub
  • Re: [PR] fix: preserve aggregate scope when unparsing [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
  • 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
  • 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
• Re: [PR] feat: benchmark_runner - added --list, optional DATA_DIR [datafusion] via GitHub
• Re: [PR] Mark null-propagating math functions as strict [datafusion] via GitHub
  • Re: [PR] Mark null-propagating math functions as strict [datafusion] via GitHub
  • Re: [PR] Mark null-propagating math functions as strict [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
  • 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
  • Re: [I] feat: add GroupColumn support for List / Struct / Map / FixedSizeList in multi-column GROUP BY [datafusion] via GitHub
• [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): `GroupColumn` support for `List` / `LargeList` [datafusion] via GitHub
• [PR] build: enable Spark SQL tests for released Spark 4.2.0 [datafusion-comet] via GitHub
  • Re: [PR] build: enable Spark SQL tests for released Spark 4.2.0 [datafusion-comet] via GitHub
• [I] Spark 4.2: `OneRowRelation` in Union branches forces Union and downstream aggregates off Comet (TPC-DS q77a) [datafusion-comet] via GitHub
• Re: [PR] fix: FilterPushdown incorrectly remaps filters through ProjectionExec with duplicate column names [datafusion] via GitHub
  • Re: [PR] fix: FilterPushdown incorrectly remaps filters through ProjectionExec with duplicate column names [datafusion] via GitHub
• Re: [PR] perf: avoid per-row copy in Spark hex byte encoding [datafusion] via GitHub
  • Re: [PR] perf: avoid per-row copy in Spark hex byte encoding [datafusion] via GitHub
  • Re: [PR] perf: avoid per-row copy in Spark hex byte encoding [datafusion] via GitHub
  • Re: [PR] perf: avoid per-row copy in Spark hex byte encoding [datafusion] via GitHub
• Re: [PR] feat: add OR pre-selection short-circuit [datafusion] via GitHub
  • Re: [PR] feat: add OR pre-selection short-circuit [datafusion] via GitHub
  • Re: [PR] feat: add OR pre-selection short-circuit [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
  • 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] feat: Parquet writer logical type narrowing for integers [datafusion] via GitHub
  • Re: [PR] feat: Parquet writer logical type narrowing for integers [datafusion] via GitHub
• Re: [I] Dynamically narrow logical types in Parquet writer [datafusion] via GitHub
  • Re: [I] Dynamically narrow logical types in Parquet writer [datafusion] via GitHub
  • Re: [I] Dynamically narrow logical types in Parquet writer [datafusion] via GitHub
• Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
• [I] Code coverage report not working [datafusion] via GitHub
  • Re: [I] Code coverage report not working [datafusion] via GitHub
  • Re: [I] Code coverage report not working [datafusion] via GitHub
  • Re: [I] Code coverage report not working [datafusion] via GitHub
  • Re: [I] Code coverage report not working [datafusion] via GitHub
  • Re: [I] Code coverage report not working [datafusion] via GitHub
  • Re: [I] Code coverage report not working [datafusion] via GitHub
  • Re: [I] Code coverage report not working [datafusion] via GitHub
  • Re: [I] Code coverage report not working [datafusion] via GitHub
• Re: [PR] perf: Concrete TopK array storage [datafusion] via GitHub
  • Re: [PR] perf: Concrete TopK array storage [datafusion] via GitHub
  • Re: [PR] perf: Concrete TopK array storage [datafusion] via GitHub
  • Re: [PR] perf: Concrete TopK array storage [datafusion] via GitHub

• Earlier messages
• Later messages