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• • 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
  • 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
  • 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] fix: support Dictionary arrays in regex_match_dyn (#23709) [datafusion] via GitHub
  • Re: [PR] fix: support Dictionary arrays in regex_match_dyn (#23709) [datafusion] via GitHub
  • Re: [PR] fix: support Dictionary arrays in regex_match_dyn (#23709) [datafusion] via GitHub
  • Re: [PR] fix: support Dictionary arrays in regex_match_dyn (#23709) [datafusion] via GitHub
  • Re: [PR] fix: support Dictionary arrays in regex_match_dyn (#23709) [datafusion] via GitHub
  • Re: [PR] fix: support Dictionary arrays in regex_match_dyn (#23709) [datafusion] via GitHub
  • Re: [PR] fix: support Dictionary arrays in regex_match_dyn (#23709) [datafusion] via GitHub
  • Re: [PR] fix: support Dictionary arrays in regex_match_dyn (#23709) [datafusion] via GitHub
  • Re: [PR] fix: support Dictionary arrays in regex_match_dyn (#23709) [datafusion] via GitHub
• Re: [I] Improve performance of high cardinality grouping by reusing hash values [datafusion] via GitHub
  • Re: [I] Improve performance of high cardinality grouping by reusing hash values [datafusion] via GitHub
  • Re: [I] Improve performance of high cardinality grouping by reusing hash values [datafusion] via GitHub
• [PR] perf: reuse input null buffer and add no-nulls fast path in Spark `hex` [datafusion] via GitHub
  • Re: [PR] perf: reuse input null buffer and add no-nulls fast path in Spark `hex` [datafusion] via GitHub
  • Re: [PR] perf: reuse input null buffer and add no-nulls fast path in Spark `hex` [datafusion] via GitHub
  • Re: [PR] perf: reuse input null buffer and add no-nulls fast path in Spark `hex` [datafusion] via GitHub
  • Re: [PR] perf: reuse input null buffer and add no-nulls fast path in Spark `hex` [datafusion] via GitHub
• [PR] gabotechs/reuse-hashes [datafusion] via GitHub
  • Re: [PR] gabotechs/reuse-hashes [datafusion] via GitHub
  • Re: [PR] gabotechs/reuse-hashes [datafusion] via GitHub
  • Re: [PR] gabotechs/reuse-hashes [datafusion] via GitHub
  • Re: [PR] gabotechs/reuse-hashes [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
  • Re: [PR] Reuse hash values during Aggregate(partial) -> Repartition -> Aggregate(final) [datafusion] via GitHub
• [PR] Add name filter to metrics [datafusion] via GitHub
  • Re: [PR] Add name filter to metrics [datafusion] via GitHub
• [PR] fix: support parentheses for negative decimal formatting [datafusion] via GitHub
• [I] Spark format_string ignores parentheses flag for negative decimals [datafusion] via GitHub
  • Re: [I] Spark format_string ignores parentheses flag for negative decimals [datafusion] via GitHub
• [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
  • Re: [PR] `array_agg()` performance improvements [datafusion] via GitHub
• [I] Codegen dispatch for YearMonth and DayTimeInterval with shuffle and nested element [datafusion-comet] via GitHub
  • Re: [I] Codegen dispatch for YearMonth and DayTimeInterval with shuffle and nested element [datafusion-comet] via GitHub
• [I] `array_agg()` performance [datafusion] via GitHub
  • Re: [I] `array_agg()` performance [datafusion] via GitHub
• [PR] feat: Support Union type in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: Support Union type in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: Support Union type in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: Support Union type in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: Support Union type in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: Support Union type in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: Support Union type in approx_distinct [datafusion] via GitHub
• Re: [I] Allow co-partitioned `Partitioning::Range` inputs for full hash joins [datafusion] via GitHub
• [PR] test: More `slt` tests for `iszero` function [datafusion] via GitHub
  • Re: [PR] test: More `slt` tests for `iszero` function [datafusion] via GitHub
  • Re: [PR] test: More `slt` tests for `iszero` function [datafusion] via GitHub
  • Re: [PR] test: More `slt` tests for `iszero` function [datafusion] via GitHub
• [PR] refactor(proto): migrate sort merge join serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate sort merge join serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate sort merge join serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate sort merge join serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate sort merge join serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate sort merge join serde [datafusion] via GitHub
• Re: [I] Correlated EXISTS with constant-false predicate produces dangling mark column reference [datafusion] via GitHub
• Re: [I] The negation operator escapes type checking at logical planning phase [datafusion] via GitHub
• Re: [I] Scalar subquery (`Expr::ScalarSubquery`) does not fail when subquery is not scalar [datafusion] via GitHub
• Re: [I] panic: date_bin overflows scaling extreme Time64(Microsecond) origin [datafusion] via GitHub
• [PR] perf: optimize LEAD/LAG IGNORE NULLS evaluation [datafusion] via GitHub
  • Re: [PR] perf: optimize LEAD/LAG IGNORE NULLS evaluation [datafusion] via GitHub
• Re: [I] panic: array_repeat list path overflows inner element count multiplication [datafusion] via GitHub
• [PR] refactor(proto): migrate single-child plans [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate single-child plans [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate single-child plans [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate single-child plans [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate single-child plans [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate single-child plans [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate single-child plans [datafusion] via GitHub
• [I] regex_match_dyn (array-array path) does not support Dictionary-encoded needle arrays (SIMILAR TO / ~ operators) [datafusion] via GitHub
  • Re: [I] regex_match_dyn (array-array path) does not support Dictionary-encoded needle arrays (SIMILAR TO / ~ operators) [datafusion] via GitHub
  • Re: [I] regex_match_dyn (array-array path) does not support Dictionary-encoded needle arrays (SIMILAR TO / ~ operators) [datafusion] via GitHub
  • Re: [I] regex_match_dyn (array-array path) does not support Dictionary-encoded needle arrays (SIMILAR TO / ~ operators) [datafusion] via GitHub
  • Re: [I] regex_match_dyn (array-array path) does not support Dictionary-encoded needle arrays (SIMILAR TO / ~ operators) [datafusion] via GitHub
  • Re: [I] regex_match_dyn (array-array path) does not support Dictionary-encoded needle arrays (SIMILAR TO / ~ operators) [datafusion] via GitHub
  • Re: [I] regex_match_dyn (array-array path) does not support Dictionary-encoded needle arrays (SIMILAR TO / ~ operators) [datafusion] via GitHub
• Re: [I] Proto: migrate ScalarSubqueryExec (adds a subquery-results scope to the decode ctx) [datafusion] via GitHub
  • Re: [I] Proto: migrate ScalarSubqueryExec (adds a subquery-results scope to the decode ctx) [datafusion] via GitHub
• Re: [I] Proto: migrate WindowAggExec + BoundedWindowAggExec [datafusion] via GitHub
• Re: [I] Proto: migrate ExplainExec + AnalyzeExec [datafusion] via GitHub
• Re: [I] Proto: migrate trivial single-child plans (CoalesceBatches, CoalescePartitions, Cooperative, Buffer) [datafusion] via GitHub
  • Re: [I] Proto: migrate trivial single-child plans (CoalesceBatches, CoalescePartitions, Cooperative, Buffer) [datafusion] via GitHub
• Re: [I] Proto: migrate AggregateExec (function-codec path) [datafusion] via GitHub
• Re: [I] Proto: migrate UnnestExec [datafusion] via GitHub
• Re: [I] Proto: migrate SortMergeJoinExec [datafusion] via GitHub
  • Re: [I] Proto: migrate SortMergeJoinExec [datafusion] via GitHub
• Re: [I] Proto: migrate SymmetricHashJoinExec [datafusion] via GitHub
• [PR] chore(deps): bump async-trait from 0.1.89 to 0.1.91 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump async-trait from 0.1.89 to 0.1.91 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump futures from 0.3.32 to 0.3.33 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump futures from 0.3.32 to 0.3.33 [datafusion-ballista] via GitHub
• [PR] chore(ci): bump actions/setup-python from 6 to 7 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump actions/setup-python from 6 to 7 [datafusion-ballista] via GitHub
• [PR] chore(ci): bump taiki-e/install-action from 2.83.3 to 2.83.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.83.3 to 2.83.4 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump serde from 1.0.228 to 1.0.229 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump serde from 1.0.228 to 1.0.229 [datafusion-ballista] via GitHub
• Re: [I] Preserve CSE for expensive expressions when pushing projections into file scans [datafusion] via GitHub
• [PR] refactor(proto): migrate FilterExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate FilterExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate FilterExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate FilterExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate FilterExec serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate FilterExec serde [datafusion] via GitHub
• Re: [I] Grouped first_value/last_value FILTER Incorrectly Includes NULL Predicate Rows [datafusion] via GitHub
• [PR] fix: grouped first_value/last_value FILTER excludes NULL predicate rows [datafusion] via GitHub
  • Re: [PR] fix: grouped first_value/last_value FILTER excludes NULL predicate rows [datafusion] via GitHub
• [PR] fix: prevent LEAD/LAG IGNORE NULLS panic without null bitmap [datafusion] via GitHub
  • Re: [PR] fix: prevent LEAD/LAG IGNORE NULLS panic without null bitmap [datafusion] via GitHub
  • Re: [PR] fix: prevent LEAD/LAG IGNORE NULLS panic without null bitmap [datafusion] via GitHub
• [I] LEAD/LAG IGNORE NULLS panics without a null bitmap [datafusion] via GitHub
  • Re: [I] LEAD/LAG IGNORE NULLS panics without a null bitmap [datafusion] via GitHub
• Re: [PR] feat: TopK stats init + cumulative RG pruning for pure-TopK parquet scans (no-WHERE) [datafusion] via GitHub
• Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
• Re: [I] SIMILAR TO panics ('failed to downcast array') when operand types differ (e.g. NULL pattern, Utf8View vs Utf8) [datafusion] via GitHub
  • Re: [I] SIMILAR TO panics ('failed to downcast array') when operand types differ (e.g. NULL pattern, Utf8View vs Utf8) [datafusion] via GitHub
• Re: [PR] feat: add `poll_now_notify` to `poll_loop` and `on_work_available` callback [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `poll_now_notify` to `poll_loop` and `on_work_available` callback [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `poll_now_notify` to `poll_loop` and `on_work_available` callback [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `poll_now_notify` to `poll_loop` and `on_work_available` callback [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `poll_now_notify` to `poll_loop` and `on_work_available` callback [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `poll_now_notify` to `poll_loop` and `on_work_available` callback [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `poll_now_notify` to `poll_loop` and `on_work_available` callback [datafusion-ballista] via GitHub
• Re: [PR] feat: add a broadcast channel for job state event notifications [datafusion-ballista] via GitHub
  • Re: [PR] feat: add a broadcast channel for job state event notifications [datafusion-ballista] via GitHub
• Re: [PR] feat: allow an external semaphore for executor task concurrency [datafusion-ballista] via GitHub
  • Re: [PR] feat: allow an external semaphore for executor task concurrency [datafusion-ballista] via GitHub
  • Re: [PR] feat: allow an external semaphore for executor task concurrency [datafusion-ballista] via GitHub
• [PR] feat(core): BufferExec — generic flow-control op with a memory-pool Dam mode [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): BufferExec — generic flow-control op with a memory-pool Dam mode [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): BufferExec — generic flow-control op with a memory-pool Dam mode [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): BufferExec — generic flow-control op with a memory-pool Dam mode [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): BufferExec — generic flow-control op with a memory-pool Dam mode [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): BufferExec — generic flow-control op with a memory-pool Dam mode [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): BufferExec — generic flow-control op with a memory-pool Dam mode [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): BufferExec — generic flow-control op with a memory-pool Dam mode [datafusion-ballista] via GitHub
• [PR] fix: tighten scalar UDF return type hints [datafusion-python] via GitHub
• [PR] feat(core): RuntimeStatsExec — passthrough tap for row counts + quantile sketches [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RuntimeStatsExec — passthrough tap for row counts + quantile sketches [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RuntimeStatsExec — passthrough tap for row counts + quantile sketches [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RuntimeStatsExec — passthrough tap for row counts + quantile sketches [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RuntimeStatsExec — passthrough tap for row counts + quantile sketches [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RuntimeStatsExec — passthrough tap for row counts + quantile sketches [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RuntimeStatsExec — passthrough tap for row counts + quantile sketches [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): RuntimeStatsExec — passthrough tap for row counts + quantile sketches [datafusion-ballista] via GitHub
• [PR] docs(config): rewrite max_partitions_per_task description to be timeless [datafusion-ballista] via GitHub
  • Re: [PR] docs(config): rewrite max_partitions_per_task description to be timeless [datafusion-ballista] via GitHub
• [PR] fix: Make FilePruner work with constant columns [datafusion] via GitHub
  • Re: [PR] fix: Make FilePruner work with constant columns [datafusion] via GitHub
  • Re: [PR] fix: Make FilePruner work with constant columns [datafusion] via GitHub

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