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• • Re: [I] Incorrect memory accounting in `array_agg` function [datafusion] via GitHub
• Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
• Re: [I] More accurate memory accounting in external sort [datafusion] via GitHub
• [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
• Re: [PR] Fix correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
  • Re: [PR] Fix correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
  • Re: [PR] Fix correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
  • Re: [PR] Fix correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
  • Re: [PR] Fix correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
  • Re: [PR] Fix correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
  • Re: [PR] Fix correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
• [PR] test: add timestamp ntz array cast coverage [datafusion-comet] via GitHub
  • Re: [PR] test: add timestamp ntz array cast coverage [datafusion-comet] via GitHub
• Re: [PR] fix date_bin overflows scaling extreme Timestamp(Second) source [datafusion] via GitHub
  • Re: [PR] fix date_bin overflows scaling extreme Timestamp(Second) source [datafusion] via GitHub
• Re: [PR] feat: support Boolean in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: support Boolean in approx_distinct [datafusion] via GitHub
• Re: [PR] fix: Remove `power(decimal, int)` code path [datafusion] via GitHub
  • Re: [PR] fix: Remove `power(decimal, int)` code path [datafusion] via GitHub
• Re: [PR] perf: optimize arrays_zip perfect list zips [datafusion] via GitHub
  • Re: [PR] perf: optimize arrays_zip perfect list zips [datafusion] via GitHub
• Re: [PR] fix: replace with empty search string should be a no-op [datafusion] via GitHub
  • Re: [PR] fix: replace with empty search string should be a no-op [datafusion] via GitHub
• [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
  • Re: [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
  • Re: [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
  • Re: [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
  • Re: [I] Downstream consumers of AggregateExec significantly overcount memory usage [datafusion] via GitHub
• Re: [PR] Add `array_product` UDF [datafusion] via GitHub
  • Re: [PR] Add `array_product` UDF [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
• [I] Incorrect timestamp comparison with mixed time units [datafusion] via GitHub
  • Re: [I] Incorrect timestamp comparison with mixed time units [datafusion] via GitHub
  • Re: [I] Incorrect timestamp comparison with mixed time units [datafusion] via GitHub
  • Re: [I] Incorrect timestamp comparison with mixed time units [datafusion] via GitHub
• [PR] fix: handle NULLs in sliding SUM(DISTINCT) window frames [datafusion] via GitHub
  • Re: [PR] fix: handle NULLs in sliding SUM(DISTINCT) window frames [datafusion] via GitHub
  • Re: [PR] fix: handle NULLs in sliding SUM(DISTINCT) window frames [datafusion] via GitHub
  • Re: [PR] fix: handle NULLs in sliding SUM(DISTINCT) window frames [datafusion] via GitHub
• [I] SUM(DISTINCT) over a bounded window frame ignores NULLs' validity mask and returns 0 instead of NULL [datafusion] via GitHub
  • Re: [I] SUM(DISTINCT) over a bounded window frame ignores NULLs' validity mask and returns 0 instead of NULL [datafusion] via GitHub
• [PR] test: initial repro test by codex [datafusion] via GitHub
  • Re: [PR] test: initial repro test by codex [datafusion] via GitHub
  • Re: [PR] test: initial repro test by codex [datafusion] via GitHub
• Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
  • Re: [PR] refactor: Update SortMergeJoin to use async spill abstractions [datafusion] via GitHub
• Re: [PR] feat: implement retract_batch for array_agg(DISTINCT) sliding window [datafusion] via GitHub
  • Re: [PR] feat: implement retract_batch for array_agg(DISTINCT) sliding window [datafusion] via GitHub
  • Re: [PR] feat: implement retract_batch for array_agg(DISTINCT) sliding window [datafusion] via GitHub
  • Re: [PR] feat: implement retract_batch for array_agg(DISTINCT) sliding window [datafusion] via GitHub
• Re: [PR] fix generate_series table function overflows [datafusion] via GitHub
  • Re: [PR] fix generate_series table function overflows [datafusion] via GitHub
• [PR] chore(docker): Use yellow_tripdata_2022-01.parquet from nightlies.apache.org [datafusion-ballista] via GitHub
  • Re: [PR] chore(docker): Use yellow_tripdata_2022-01.parquet from nightlies.apache.org [datafusion-ballista] via GitHub
  • Re: [PR] chore(docker): Use yellow_tripdata_2022-01.parquet from nightlies.apache.org [datafusion-ballista] via GitHub
  • Re: [PR] chore(docker): Use yellow_tripdata_2022-01.parquet from nightlies.apache.org [datafusion-ballista] via GitHub
• [PR] Chore skip agg [datafusion] via GitHub
  • Re: [PR] fix: make skip_partial_aggregation_probe_ratio_threshold match the docs [datafusion] via GitHub
  • Re: [PR] fix: make skip_partial_aggregation_probe_ratio_threshold match the docs [datafusion] via GitHub
  • Re: [PR] fix: make skip_partial_aggregation_probe_ratio_threshold match the docs [datafusion] via GitHub
  • Re: [PR] fix: make skip_partial_aggregation_probe_ratio_threshold match the docs [datafusion] via GitHub
  • Re: [PR] fix: make skip_partial_aggregation_probe_ratio_threshold match the docs [datafusion] via GitHub
• Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
  • Re: [PR] Add declared file scan output partitioning [datafusion] via GitHub
• [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + tighten Time variants + dhat harness [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): extract make_group_column factory + eager init at try_new + tighten Time variants [datafusion] via GitHub
• Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
  • Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
• Re: [PR] Reject negative ln inputs [datafusion] via GitHub
  • Re: [PR] Reject negative ln inputs [datafusion] via GitHub
• Re: [I] Support StringSplitSQL to enable split_part [datafusion-comet] via GitHub
• Re: [PR] feat: add support `parse_url` [datafusion-comet] via GitHub
• Re: [PR] fix: [WIP] negative zero sort [datafusion-comet] via GitHub
• Re: [PR] fix: Percent Encoding of paths for hive style partitioning [datafusion] via GitHub
  • Re: [PR] fix: Percent Encoding of paths for hive style partitioning [datafusion] via GitHub
• Re: [PR] feat: replace `ScalarValue` with `DynComparator` for RANGE calculation [datafusion] via GitHub
  • Re: [PR] feat: replace `ScalarValue` with `DynComparator` for RANGE calculation [datafusion] via GitHub
• Re: [PR] Defer task spawning in SortPreservingMergeExec to first poll [datafusion] via GitHub
  • Re: [PR] Defer task spawning in SortPreservingMergeExec to first poll [datafusion] via GitHub
• Re: [PR] perf: Improve planning time w/ global default `ConfigOptions` [datafusion] via GitHub
  • Re: [PR] perf: Improve planning time w/ global default `ConfigOptions` [datafusion] via GitHub
• Re: [PR] Update contributor names in changelog for version 52.4.0 [datafusion] via GitHub
  • Re: [PR] Update contributor names in changelog for version 52.4.0 [datafusion] via GitHub
• [PR] feat: rebalance associative bitwise/Add/Multiply chains to avoid protobuf recursion limit [datafusion-comet] via GitHub
• [PR] chore(deps): bump the all-other-cargo-deps group with 6 updates [datafusion] via GitHub
  • Re: [PR] chore(deps): bump the all-other-cargo-deps group with 6 updates [datafusion] via GitHub
• [PR] feat: implement native existence join implementation [datafusion-comet] via GitHub
  • Re: [PR] feat: implement native existence join implementation [datafusion-comet] via GitHub
  • Re: [PR] feat: implement native native existence join support [datafusion-comet] via GitHub
• [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group [datafusion] via GitHub
  • Re: [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group [datafusion] via GitHub
  • Re: [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group [datafusion] via GitHub
• [PR] chore(deps): bump actions/checkout from 6.0.2 to 6.0.3 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump actions/checkout from 6.0.2 to 6.0.3 [datafusion] via GitHub
• [PR] chore(deps): bump astral-sh/setup-uv from 8.1.0 to 8.2.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump astral-sh/setup-uv from 8.1.0 to 8.2.0 [datafusion] via GitHub
• [PR] chore(deps): bump github/codeql-action from 4.36.0 to 4.36.1 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump github/codeql-action from 4.36.0 to 4.36.1 [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.79.8 to 2.81.3 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.79.8 to 2.81.3 [datafusion] via GitHub
• Re: [I] try_make_timestamp returns wrong values for invalid inputs instead of NULL [datafusion-comet] via GitHub
• [PR] chore(deps): bump github/codeql-action from 4.36.0 to 4.36.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump github/codeql-action from 4.36.0 to 4.36.1 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump astral-sh/setup-uv from 8.1.0 to 8.2.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump astral-sh/setup-uv from 8.1.0 to 8.2.0 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump aws-config from 1.8.17 to 1.8.18 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump aws-config from 1.8.17 to 1.8.18 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump aws-config from 1.8.17 to 1.8.18 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump actions/checkout from 6.0.2 to 6.0.3 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump actions/checkout from 6.0.2 to 6.0.3 [datafusion-ballista] via GitHub
• Re: [PR] refactor: give parquet CDC options an explicit `enabled` flag [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.79.9 to 2.81.3 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.79.9 to 2.81.3 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump log from 0.4.30 to 0.4.31 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump log from 0.4.30 to 0.4.31 [datafusion-ballista] via GitHub
• Re: [PR] [branch-54] refactor: give parquet CDC options an explicit `enabled` flag (backport #22632) [datafusion] via GitHub
• [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub
  • Re: [PR] chore: Update to arrow/parquet 59.0.0 [datafusion] via GitHub

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