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• • Re: [PR] feat(core): RangeShuffleReaderExec — ordering-preserving shuffle reader (purely additive) [datafusion-ballista] via GitHub
• [PR] fix: clear stale sliding aggregate state for empty RANGE frames [datafusion] via GitHub
  • Re: [PR] fix: clear stale sliding aggregate state for empty RANGE frames [datafusion] via GitHub
  • Re: [PR] fix: clear stale sliding aggregate state for empty RANGE frames [datafusion] via GitHub
  • Re: [PR] fix: clear stale sliding aggregate state for empty RANGE frames [datafusion] via GitHub
• [I] Sliding RANGE aggregates retain stale state after an empty frame [datafusion] via GitHub
  • Re: [I] Sliding RANGE aggregates retain stale state after an empty frame [datafusion] via GitHub
  • Re: [I] Sliding RANGE aggregates retain stale state after an empty frame [datafusion] via GitHub
• [PR] fix(proto): serialize Global/LocalLimitExec required_ordering [datafusion] via GitHub
  • Re: [PR] fix(proto): serialize Global/LocalLimitExec required_ordering [datafusion] via GitHub
  • Re: [PR] fix(proto): serialize Global/LocalLimitExec required_ordering [datafusion] via GitHub
  • Re: [PR] fix(proto): serialize Global/LocalLimitExec required_ordering [datafusion] via GitHub
• [PR] fix(core): unbreak main — set partition: None on OperatorMetric literals [datafusion-ballista] via GitHub
  • Re: [PR] fix(core): fix main build errors [datafusion-ballista] 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] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
  • Re: [PR] Resolve page pruning `StatisticsConverter` once per file instead of once per row group [datafusion] via GitHub
• Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
  • Re: [PR] Docs: Add PR review guide [datafusion] via GitHub
• Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
  • Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
  • Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
  • Re: [PR] fix: preserve ABFS container in object store registry keys [datafusion] via GitHub
• Re: [PR] docs(upgrading): document RecursiveQuery schema field in upgrade guide [datafusion] via GitHub
  • Re: [PR] docs(upgrading): document RecursiveQuery schema field in upgrade guide [datafusion] via GitHub
  • Re: [PR] docs(upgrading): document RecursiveQuery schema field in upgrade guide [datafusion] via GitHub
  • Re: [PR] docs(upgrading): document RecursiveQuery schema field in upgrade guide [datafusion] via GitHub
  • Re: [PR] docs(upgrading): document RecursiveQuery schema field in upgrade guide [datafusion] via GitHub
• Re: [I] Numeric SQL literals with underscores are not correctly parsed [datafusion] via GitHub
• Re: [PR] fix(proto): prevent logical plan serialization stack overflow [datafusion] via GitHub
  • Re: [PR] fix(proto): prevent logical plan serialization stack overflow [datafusion] via GitHub
  • Re: [PR] fix(proto): prevent logical plan serialization stack overflow [datafusion] via GitHub
  • Re: [PR] fix(proto): prevent logical plan serialization stack overflow [datafusion] via GitHub
• Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
• Re: [PR] fix: typo for the builder error type [datafusion] via GitHub
  • Re: [PR] fix: typo for the builder error type [datafusion] via GitHub
• Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
  • Re: [PR] fix: Correctly process numeric literals with underscores [datafusion] via GitHub
• Re: [I] FilterPushdown physical optimizer incorrectly remaps filters through ProjectionExec with duplicate column names [datafusion] via GitHub
• Re: [PR] fix: reject duplicate projection output names [datafusion] via GitHub
  • Re: [PR] fix: reject duplicate projection output names [datafusion] via GitHub
• Re: [I] `GroupedHashAggregateStream::emit` throws ArrowError: column types must match schema types [datafusion] via GitHub
  • Re: [I] `GroupedHashAggregateStream::emit` throws ArrowError: column types must match schema types [datafusion] via GitHub
  • Re: [I] `GroupedHashAggregateStream::emit` throws ArrowError: column types must match schema types [datafusion] via GitHub
• Re: [I] A way to specify constant/scalar arguments in UDFs [datafusion] via GitHub
  • Re: [I] A way to specify constant/scalar arguments in UDFs [datafusion] via GitHub
  • Re: [I] A way to specify constant/scalar arguments in UDFs [datafusion] via GitHub
• Re: [PR] Databricks: support CREATE TABLE USING, MAP<K, V>, LONG, DIV and the pipe operator [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
  • Re: [PR] Enable dynamic filters for range-partitioned joins [datafusion] via GitHub
• Re: [PR] Print a space between adjacent prefix unary operators [datafusion-sqlparser-rs] via GitHub
• Re: [PR] perf: track decimal overflow without rescanning results [datafusion-comet] via GitHub
  • Re: [PR] perf: track decimal overflow without rescanning results [datafusion-comet] via GitHub
  • Re: [PR] perf: track decimal overflow without rescanning results [datafusion-comet] via GitHub
  • Re: [PR] perf: track decimal overflow without rescanning results [datafusion-comet] via GitHub
• Re: [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [datafusion] via GitHub
  • Re: [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [datafusion] via GitHub
  • Re: [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [datafusion] via GitHub
  • Re: [PR] fix: infer placeholder types in GROUP BY, HAVING, QUALIFY and ORDER BY (fix for #24042) [datafusion] via GitHub
• [PR] IN LIST: optimize large integer filters [datafusion] via GitHub
  • Re: [PR] IN LIST: optimize large integer filters [datafusion] via GitHub
  • Re: [PR] IN LIST: index 32- and 64-bit integers by byte [datafusion] via GitHub
• Re: [PR] feat: add DistributedQueryExec::explain_executed_plan and show logical plan in display [datafusion-ballista] via GitHub
• Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
• [I] Physical plan proto silently drops CSV/JSON scan options (newline_delimited, terminator, compression) [datafusion] via GitHub
  • Re: [I] Physical plan proto silently drops CSV/JSON scan options (newline_delimited, terminator, compression) [datafusion] via GitHub
  • Re: [I] Physical plan proto silently drops CSV/JSON scan options (newline_delimited, terminator, compression) [datafusion] via GitHub
  • Re: [I] Physical plan proto silently drops CSV/JSON scan options (newline_delimited, terminator, compression) [datafusion] via GitHub
• Re: [PR] feat: add GroupColumn support for Decimal256 in multi-column GROUP BY [datafusion] via GitHub
  • Re: [PR] feat: add GroupColumn support for Decimal256 in multi-column GROUP BY [datafusion] via GitHub
  • Re: [PR] feat: add GroupColumn support for Decimal256 in multi-column GROUP BY [datafusion] via GitHub
• [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
• [PR] refactor(proto): migrate JsonSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate JsonSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate JsonSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate JsonSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate JsonSource serde [datafusion] via GitHub
• [PR] refactor(proto): migrate CsvSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate CsvSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate CsvSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate CsvSource serde [datafusion] via GitHub
  • Re: [PR] refactor(proto): migrate CsvSource serde [datafusion] via GitHub
• Re: [I] Make the datafusion-spark function library available in datafusion-cli behind an opt-in flag [datafusion] via GitHub
  • Re: [I] Make the datafusion-spark function library available in datafusion-cli behind an opt-in flag [datafusion] via GitHub
  • Re: [I] Make the datafusion-spark function library available in datafusion-cli behind an opt-in flag [datafusion] via GitHub
• Re: [I] Avoid duplicate CheckOverflow evaluation for decimal division [datafusion-comet] via GitHub
• [I] Native spill and memory-wait are invisible to Spark task metrics [datafusion-comet] via GitHub
  • Re: [I] Created in error - please disregard [datafusion-comet] via GitHub
• Re: [PR] Enable more lints [datafusion] via GitHub
  • Re: [PR] Enable more lints [datafusion] via GitHub
  • Re: [PR] Enable more lints [datafusion] via GitHub
  • Re: [PR] Enable more lints [datafusion] via GitHub
• [PR] fix: decode invalid UTF-8 at the JVM to native FFI import boundary [datafusion-comet] via GitHub
  • Re: [PR] fix: decode invalid UTF-8 at the JVM to native FFI import boundary [datafusion-comet] via GitHub
  • Re: [PR] fix: decode invalid UTF-8 at the JVM to native FFI import boundary [datafusion-comet] via GitHub
  • Re: [PR] fix: decode invalid UTF-8 at the JVM to native FFI import boundary [datafusion-comet] via GitHub
• [PR] Fix duplicated words in documentation [datafusion] via GitHub
  • Re: [PR] Fix duplicated words in documentation [datafusion] via GitHub
  • Re: [PR] Fix duplicated words in documentation [datafusion] via GitHub
• Re: [PR] [do-not-merge] Wide-schema parquet read perf — visibility for #21968 [datafusion] via GitHub
• Re: [PR] Refactor post-aggregate clause rebasing and validation with shared helpers [datafusion] via GitHub
  • Re: [PR] Refactor post-aggregate clause rebasing and validation with shared helpers [datafusion] via GitHub
• Re: [PR] parquet: cache per-file ArrowReaderMetadata for wide-schema scans [datafusion] via GitHub
  • Re: [PR] parquet: cache per-file ArrowReaderMetadata for wide-schema scans [datafusion] via GitHub
  • Re: [PR] parquet: cache per-file ArrowReaderMetadata for wide-schema scans [datafusion] via GitHub
  • Re: [PR] parquet: cache per-file ArrowReaderMetadata for wide-schema scans [datafusion] via GitHub
• [PR] fix: box aws-config loading future avoid clippy warning [datafusion] via GitHub
  • Re: [PR] fix: box aws-config loading future avoid clippy warning [datafusion] via GitHub
  • Re: [PR] fix: box aws-config loading future avoid clippy warning [datafusion] via GitHub
• Re: [I] [EPIC] Memory pool and accounting audit sweep [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Memory pool and accounting audit sweep [datafusion-comet] via GitHub
• Re: [PR] docs: Document `WindowFn` and add comments [datafusion] via GitHub
  • Re: [PR] docs: Document `WindowFn` and add comments [datafusion] via GitHub
  • Re: [PR] docs: Document `WindowFn` and add comments [datafusion] via GitHub
  • Re: [PR] docs: Document `WindowFn` and add comments [datafusion] via GitHub
  • Re: [PR] docs: Document `WindowFn` and add comments [datafusion] via GitHub
• Re: [I] Shuffle-fetch failures lose their type, so the map-stage resubmit never fires and the job fails [datafusion-ballista] via GitHub

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