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• [PR] feat: add microbenchmark suite with string expressions [datafusion-comet] via GitHub
  • Re: [PR] feat: unified benchmark runner with composable config [WIP] [datafusion-comet] via GitHub
  • Re: [PR] feat: unified benchmark runner with composable config [will not merge] [datafusion-comet] via GitHub
  • Re: [PR] feat: unified benchmark runner with composable config [will not merge] [datafusion-comet] via GitHub
• [PR] ci: Bump up `actions/upload-artifact` from v4 to v6 [datafusion-comet] via GitHub
  • Re: [PR] ci: Bump up `actions/upload-artifact` from v4 to v6 [datafusion-comet] via GitHub
• [I] Possible memory leak in error cases in JVM-Rust (and vice versa) transition [datafusion-comet] via GitHub
  • Re: [I] Possible memory leak in error cases in JVM-Rust (and vice versa) transition [datafusion-comet] via GitHub
• [PR] feat: add regexp_instr function [datafusion-python] via GitHub
  • Re: [PR] feat: add regexp_instr function [datafusion-python] via GitHub
  • Re: [PR] feat: add regexp_instr function [datafusion-python] via GitHub
  • Re: [PR] feat: add regexp_instr function [datafusion-python] via GitHub
  • Re: [PR] feat: add regexp_instr function [datafusion-python] via GitHub
• [PR] fix: negation operator escapes type checking at logical planning phase [datafusion] via GitHub
  • Re: [PR] fix: negation operator escapes type checking at logical planning phase [datafusion] via GitHub
  • Re: [PR] fix: negation operator escapes type checking at logical planning phase [datafusion] via GitHub
  • Re: [PR] fix: negation operator escapes type checking at logical planning phase [datafusion] via GitHub
  • Re: [PR] fix: negation operator escapes type checking at logical planning phase [datafusion] via GitHub
• [PR] Fix `try_shrink` not freeing back to pool [datafusion] via GitHub
  • Re: [PR] Fix `try_shrink` not freeing back to pool [datafusion] via GitHub
  • Re: [PR] Fix `try_shrink` not freeing back to pool [datafusion] via GitHub
  • Re: [PR] Fix `try_shrink` not freeing back to pool [datafusion] via GitHub
  • Re: [PR] Fix `try_shrink` not freeing back to pool [datafusion] via GitHub
  • Re: [PR] Fix `try_shrink` not freeing back to pool [datafusion] via GitHub
  • Re: [PR] Fix `try_shrink` not freeing back to pool [datafusion] via GitHub
• [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
• [PR] Fix/changing boundaries [datafusion] via GitHub
  • Re: [PR] fix: update filter predicates for min/max aggregates only if bounds change [datafusion] via GitHub
  • Re: [PR] fix: update filter predicates for min/max aggregates only if bounds change [datafusion] via GitHub
• [PR] fix: insert overwrite directory native writer [datafusion-comet] via GitHub
• [PR] Fix multi-insert with native writer in Spark 4.x (#3430) [datafusion-comet] via GitHub
  • Re: [PR] fix: multi-insert with native writer in Spark 4.x (#3430) [datafusion-comet] via GitHub
• [PR] chore(deps): bump cc from 1.2.55 to 1.2.56 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump cc from 1.2.55 to 1.2.56 in /native [datafusion-comet] via GitHub
• [PR] chore(deps): bump tempfile from 3.24.0 to 3.25.0 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump tempfile from 3.24.0 to 3.25.0 in /native [datafusion-comet] via GitHub
• [PR] chore(deps): bump libc from 0.2.180 to 0.2.182 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump libc from 0.2.180 to 0.2.182 in /native [datafusion-comet] via GitHub
• [PR] chore(deps): bump aws-config from 1.8.13 to 1.8.14 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump aws-config from 1.8.13 to 1.8.14 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump aws-config from 1.8.13 to 1.8.14 in /native [datafusion-comet] via GitHub
• [PR] chore(deps): bump aws-credential-types from 1.2.11 to 1.2.12 in /native [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump aws-credential-types from 1.2.11 to 1.2.12 in /native [datafusion-comet] via GitHub
• [PR] Fix CTAS with UNION in Spark 4.x native writer (#3429) [datafusion-comet] via GitHub
• [PR] [PoC] Coalesce ranges for LocalFilesystem [datafusion] via GitHub
  • Re: [PR] [PoC] Coalesce ranges for LocalFilesystem [datafusion] via GitHub
  • Re: [PR] [PoC] Coalesce ranges for LocalFilesystem [datafusion] via GitHub
• [PR] [Minor] Update object_store to 0.12.5 [datafusion] via GitHub
  • Re: [PR] [Minor] Update object_store to 0.12.5 [datafusion] via GitHub
  • Re: [PR] [Minor] Update object_store to 0.12.5 [datafusion] via GitHub
  • Re: [PR] [Minor] Update object_store to 0.12.5 [datafusion] via GitHub
  • Re: [PR] [Minor] Update object_store to 0.12.5 [datafusion] via GitHub
• Re: [I] [Feature] Support Spark expression: map_filter [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: map_filter [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: map_filter [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: map_filter [datafusion-comet] via GitHub
• [PR] chore(deps): bump tonic-prost-build from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump tonic-prost-build from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump uuid from 1.20.0 to 1.21.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump uuid from 1.20.0 to 1.21.0 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump tonic-build from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump tonic-build from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump libc from 0.2.181 to 0.2.182 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump libc from 0.2.181 to 0.2.182 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump tonic from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump tonic from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump tonic-prost from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump tonic-prost from 0.14.3 to 0.14.4 [datafusion-ballista] via GitHub
• Re: [PR] feat: [1941-Part2]: Introduce map_to_list scalar function [datafusion-comet] via GitHub
• Re: [PR] feat: Add JNI-based Hadoop FileSystem support for S3 and other Hadoop-compatible stores [datafusion-comet] via GitHub
• Re: [PR] feat: Add spark compatible `MapSort` function along with limited support for grouping on Map type [datafusion-comet] via GitHub
• [I] Optimize `array_has()` for scalar needle [datafusion] via GitHub
  • Re: [I] Optimize `array_has()` for scalar needle [datafusion] via GitHub
  • Re: [I] Optimize `array_has()` for scalar needle [datafusion] via GitHub
• Re: [I] Improve performance of `array_has` [datafusion] via GitHub
  • Re: [I] Improve performance of `array_has` [datafusion] via GitHub
  • Re: [I] Improve performance of `array_has` [datafusion] via GitHub
• [PR] feat: add coerce_arguments flag to UDTFs to allow skipping automatic … [datafusion] via GitHub
• [PR] Set expected runtime config in error message when the used disk space during the spilling process has exceeded the allocation limit [datafusion] via GitHub
• [PR] perf: Optimize array_has() for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: Optimize array_has() for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: Optimize array_has() for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: Optimize array_has() for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: Optimize array_has() for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: Optimize array_has() for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_has()` for scalar needle [datafusion] via GitHub
• [I] Set expected runtime config in error message when the used disk space during the spilling process has exceeded the allocation limit [datafusion] via GitHub
  • Re: [I] Set expected runtime config in error message when the used disk space during the spilling process has exceeded the allocation limit [datafusion] via GitHub
• [PR] Provide more generic API for the capacity limits [datafusion] via GitHub
• [I] Provide more generic API for the capacity limits [datafusion] via GitHub
  • Re: [I] Provide more generic API for the capacity limits [datafusion] via GitHub
• [PR] Add support for parquet field [datafusion] via GitHub
  • Re: [PR] Add support for parquet field [datafusion] via GitHub
  • Re: [PR] Add support for parquet field [datafusion] via GitHub
  • Re: [PR] Add support for parquet field [datafusion] via GitHub
  • Re: [PR] Add support for parquet field id [datafusion] via GitHub
• Re: [I] Floor built in function return type [datafusion] via GitHub
  • Re: [I] Floor built in function return type [datafusion] via GitHub
  • Re: [I] Floor built in function return type [datafusion] via GitHub
• [PR] feat: add LazyPartition trait for LazyMemoryExec, migrate generate_series to partitions [datafusion] via GitHub
  • Re: [PR] feat: add LazyPartition trait for LazyMemoryExec, migrate generate_series to partitions [datafusion] via GitHub
• Re: [I] Incorrect cast of integer columns to utf8 when comparing with utf8 constant [datafusion] via GitHub
  • Re: [I] Incorrect cast of integer columns to utf8 when comparing with utf8 constant [datafusion] via GitHub
  • Re: [I] Incorrect cast of integer columns to utf8 when comparing with utf8 constant [datafusion] via GitHub
  • Re: [I] Incorrect cast of integer columns to utf8 when comparing with utf8 constant [datafusion] via GitHub
  • Re: [I] Incorrect cast of integer columns to utf8 when comparing with utf8 constant [datafusion] via GitHub
• [PR] feat: support sqllogictest output coloring [datafusion] via GitHub
  • Re: [PR] feat: support sqllogictest output coloring [datafusion] via GitHub
  • Re: [PR] feat: support sqllogictest output coloring [datafusion] via GitHub
  • Re: [PR] feat: support sqllogictest output coloring [datafusion] via GitHub
  • Re: [PR] feat: support sqllogictest output coloring [datafusion] via GitHub
• [I] Support sqllogictest output coloring [datafusion] via GitHub
  • Re: [I] Support sqllogictest output coloring [datafusion] via GitHub
  • Re: [I] Support sqllogictest output coloring [datafusion] via GitHub
• [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
  • Re: [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
  • Re: [PR] Refactor ordered-set aggregate Dataframe APIs to align with SQL(#18279) [datafusion] via GitHub
• [PR] PostgreSQL: Support more COMMENT ON object types [datafusion-sqlparser-rs] via GitHub
• [PR] Fix `derive_dialect!` proc macro for use from external crates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Fix `derive_dialect!` proc macro for use from external crates [datafusion-sqlparser-rs] via GitHub
• [PR] Disable dynamic filter pushdown [datafusion] via GitHub
  • Re: [PR] Disable dynamic filter pushdown [datafusion] via GitHub
  • Re: [PR] Disable dynamic filter pushdown to parquet by default [datafusion] via GitHub
  • Re: [PR] Disable dynamic filter pushdown to parquet by default [datafusion] via GitHub
• Re: [I] Refactor ordered-set aggregate Dataframe APIs to align with SQL [datafusion] via GitHub
• [PR] perf: optimize `array_distinct` with batched row conversion [datafusion] via GitHub
  • Re: [PR] perf: optimize `array_distinct` with batched row conversion [datafusion] via GitHub
  • Re: [PR] perf: optimize `array_distinct` with batched row conversion [datafusion] via GitHub
  • Re: [PR] perf: optimize `array_distinct` with batched row conversion [datafusion] via GitHub
• [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
  • Re: [PR] (Test) Advanced adaptive filter selectivity evaluation [datafusion] via GitHub
• [PR] fix: handle complex projections in ordering validation [datafusion] via GitHub
  • Re: [PR] fix: unify ordering display with optimization path [datafusion] via GitHub
• [PR] fix: handle Utf8View and LargeUtf8 separators in concat_ws [datafusion] via GitHub
  • Re: [PR] fix: handle Utf8View and LargeUtf8 separators in concat_ws [datafusion] via GitHub
  • Re: [PR] fix: handle Utf8View and LargeUtf8 separators in concat_ws [datafusion] via GitHub
  • Re: [PR] fix: handle Utf8View and LargeUtf8 separators in concat_ws [datafusion] via GitHub
  • Re: [PR] fix: handle Utf8View and LargeUtf8 separators in concat_ws [datafusion] via GitHub
  • Re: [PR] fix: Handle Utf8View and LargeUtf8 separators in concat_ws [datafusion] via GitHub
  • Re: [PR] fix: Handle Utf8View and LargeUtf8 separators in concat_ws [datafusion] via GitHub
• [I] concat_ws() fails with Utf8View, LargeUtf8 separators [datafusion] via GitHub
  • Re: [I] concat_ws() fails with Utf8View, LargeUtf8 separators [datafusion] via GitHub
  • Re: [I] concat_ws() fails with Utf8View, LargeUtf8 separators [datafusion] via GitHub
• Re: [PR] feat: [1941-Part3]: Introduce map_from_list scalar function [datafusion-comet] via GitHub
• [PR] feat: add Python bindings for accessing ExecutionMetrics [datafusion-python] via GitHub
• [PR] feat: pass vended credentials to Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: pass vended credentials to Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: pass vended credentials to Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: pass vended credentials to Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: pass vended credentials to Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: pass vended credentials to Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: pass vended credentials to Iceberg native scan [datafusion-comet] via GitHub
• Re: [I] Add support for scalar values with extension types [datafusion-python] via GitHub

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