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• [I] perf: preallocate memory in `pad` [datafusion] via GitHub
  • Re: [I] perf: preallocate memory in `pad` [datafusion] via GitHub
  • Re: [I] perf: preallocate memory in `pad` [datafusion] via GitHub
• [PR] perf: preallocate memory in `pad` [datafusion] via GitHub
  • Re: [PR] perf: preallocate memory in `pad` [datafusion] via GitHub
  • Re: [PR] perf: preallocate memory in `pad` [datafusion] via GitHub
  • Re: [PR] perf: preallocate memory in `pad` [datafusion] via GitHub
  • Re: [PR] perf: preallocate memory in `pad` [datafusion] via GitHub
  • Re: [PR] perf: preallocate memory in `pad` [datafusion] via GitHub
  • Re: [PR] perf: preallocate memory in `pad` [datafusion] via GitHub
  • Re: [PR] perf: preallocate memory in `pad` [datafusion] via GitHub
• [PR] doc: Document scan tuning for `spark.sql.files.maxPartitionBytes` [datafusion-comet] via GitHub
  • Re: [PR] doc: Document scan tuning for `spark.sql.files.maxPartitionBytes` [datafusion-comet] via GitHub
  • Re: [PR] doc: Document scan tuning for `spark.sql.files.maxPartitionBytes` [datafusion-comet] via GitHub
  • Re: [PR] doc: Document scan tuning for `spark.sql.files.maxPartitionBytes` [datafusion-comet] via GitHub
• [PR] feat: support gzip compression in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support gzip compression in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support gzip compression in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support gzip compression in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support gzip compression in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support gzip compression in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support gzip compression in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support gzip compression in native Parquet writes [datafusion-comet] via GitHub
  • Re: [PR] feat: support gzip compression in native Parquet writes [datafusion-comet] via GitHub
• [I] Support gzip compression in native Parquet writes [datafusion-comet] via GitHub
  • Re: [I] Support gzip compression in native Parquet writes [datafusion-comet] via GitHub
• [PR] [branch-54] fix: don't duplicate volatile expressions when pushing projection into file scan (backport #23395, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: don't duplicate volatile expressions when pushing projection into file scan (backport #23395, adapted) [datafusion] via GitHub
• [PR] fix: suppress spurious WriteFilesExec fallback reason on native writes [datafusion-comet] via GitHub
  • Re: [PR] fix: suppress spurious WriteFilesExec fallback reason on native writes [datafusion-comet] via GitHub
• [PR] fix: preserve range partitioning through joins [datafusion] via GitHub
  • Re: [PR] fix: preserve range partitioning through joins [datafusion] via GitHub
  • Re: [PR] fix: preserve range partitioning through joins [datafusion] via GitHub
  • Re: [PR] fix: preserve range partitioning through joins [datafusion] via GitHub
  • Re: [PR] fix: preserve range partitioning through joins [datafusion] via GitHub
  • Re: [PR] fix: preserve range partitioning through joins [datafusion] via GitHub
• [PR] Feat/full join range copartitioning [datafusion] via GitHub
  • Re: [PR] feat: allow Full joins to reuse range co-partitioning in HashJoinExec [datafusion] via GitHub
  • Re: [PR] feat: allow Full joins to reuse range co-partitioning in HashJoinExec [datafusion] via GitHub
  • Re: [PR] feat: allow Full joins to reuse range co-partitioning in HashJoinExec [datafusion] via GitHub
  • Re: [PR] feat: allow Full joins to reuse range co-partitioning in HashJoinExec [datafusion] via GitHub
  • Re: [PR] feat: allow Full joins to reuse range co-partitioning in HashJoinExec [datafusion] via GitHub
• [PR] perf: optimize struct_to_json in datafusion-comet-spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `struct_to_json` (10% faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `struct_to_json` (10% faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `struct_to_json` (10% faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `struct_to_json` (10% faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `struct_to_json` (10% faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `struct_to_json` (10% faster) [datafusion-comet] via GitHub
• Re: [I] Complete physical execution planning of range partitioning [datafusion] via GitHub
  • Re: [I] Complete physical execution planning of range partitioning [datafusion] via GitHub
• [PR] perf: avoid intermediate slice allocation in Spark slice function (#2… [datafusion] via GitHub
  • Re: [PR] [branch-54] perf: avoid intermediate slice allocation in Spark slice function (backport #23481) [datafusion] via GitHub
• [PR] perf: optimize spark_ceil in datafusion-comet-spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `spark_ceil` (3x faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `spark_ceil` (3x faster) [datafusion-comet] via GitHub
• [PR] FFI Query Planner on 54.0.0 [datafusion-python] via GitHub
• [PR] FFI Query Planner on 54.0.0 [datafusion] via GitHub
  • Re: [PR] FFI Query Planner on 54.0.0 [datafusion] via GitHub
• [PR] perf: optimize to_csv_inner in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• Re: [I] Allow `Partitioning::Range` to satisfy window `Distribution::KeyPartitioned` requirements [datafusion] via GitHub
• [PR] feat: make compression codec configurable [datafusion-ballista] via GitHub
  • Re: [PR] feat: make compression codec configurable [datafusion-ballista] via GitHub
  • Re: [PR] feat: make compression codec configurable [datafusion-ballista] via GitHub
  • Re: [PR] feat: make compression codec configurable [datafusion-ballista] via GitHub
  • Re: [PR] feat: make compression codec configurable [datafusion-ballista] via GitHub
  • Re: [PR] feat: make compression codec configurable [datafusion-ballista] via GitHub
  • Re: [PR] feat: make compression codec configurable [datafusion-ballista] via GitHub
• [PR] perf: optimize cast_decimal128_to_utf8 in datafusion-comet-spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize cast_decimal128_to_utf8 in datafusion-comet-spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize cast_decimal128_to_utf8 in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• [PR] perf: optimize spark_regexp_extract_all in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• [PR] [branch-54] fix: handle `IS TRUE` correctly in `EliminateOuterJoin` (backport #22444) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: handle `IS TRUE` correctly in `EliminateOuterJoin` (backport #22444) [datafusion] via GitHub
• [PR] [branch-54] fix: Correctly compute nullability in recursive CTE schemas (backport #22552) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: Correctly compute nullability in recursive CTE schemas (backport #22552) [datafusion] via GitHub
• [PR] [branch-54] fix: regex simplification of anchored patterns produces wrong results (backport #22727) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: regex simplification of anchored patterns produces wrong results (backport #22727) [datafusion] via GitHub
• [PR] perf: optimize arrays_zip_inner in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• [PR] [branch-54] fix: NestedLoopJoinExec emits spurious unmatched-left rows with multiple probe partitions (backport #22791) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: NestedLoopJoinExec emits spurious unmatched-left rows with multiple probe partitions (backport #22791) [datafusion] via GitHub
• [PR] fix: `approx_distinct` over-counts for utf8view (backport #22815, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: `approx_distinct` over-counts for utf8view (backport #22815, adapted) [datafusion] via GitHub
• [PR] [branch-54] fix: `= ANY (SELECT ...)` / `<> ALL (SELECT ...)` schema error (backport #22915) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: `= ANY (SELECT ...)` / `<> ALL (SELECT ...)` schema error (backport #22915) [datafusion] via GitHub
• [PR] [branch-54] fix: preserve no-filter SMJ matches across pending outer batches (backport #23049) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: preserve no-filter SMJ matches across pending outer batches (backport #23049) [datafusion] via GitHub
• [PR] [branch-54] fix: isolate anonymous file statistics cache (backport #22950, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: isolate anonymous file statistics cache (backport #22950, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: isolate anonymous file statistics cache (backport #22950, adapted) [datafusion] via GitHub
• [I] Add config-matrix tests in enforce_distribution.rs for range-satisfaction settings [datafusion] via GitHub
  • Re: [I] Add config-matrix tests in enforce_distribution.rs for range-satisfaction settings [datafusion] via GitHub
• [PR] perf: optimize might_contain_longs in datafusion-comet-spark-expr [datafusion-comet] via GitHub
• [PR] feat: Parquet writer logical type narrowing for integers [datafusion] via GitHub
  • Re: [PR] feat: Parquet writer logical type narrowing for integers (DRAFT) [datafusion] via GitHub
  • Re: [PR] feat: Parquet writer logical type narrowing for integers (DRAFT) [datafusion] via GitHub
  • Re: [PR] feat: Parquet writer logical type narrowing for integers [datafusion] via GitHub
• [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
  • 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
  • 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
• [I] Add aggregate specific metrics [datafusion] via GitHub
• [PR] perf: optimize spark_cast_int_to_int in datafusion-comet-spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `spark_cast_int_to_int` (100x faster) [datafusion-comet] via GitHub
• [I] Support window functions in range partition statisfcation [datafusion] via GitHub
  • Re: [I] Support window functions in range partition statisfcation [datafusion] via GitHub
  • Re: [I] Support window functions in range partition statisfcation [datafusion] via GitHub
• Re: [I] Support RANGE window frames with an explicit offset on DATE or DECIMAL ORDER BY [datafusion-comet] via GitHub
  • Re: [I] Support RANGE window frames with an explicit offset on DATE or DECIMAL ORDER BY [datafusion-comet] via GitHub
• [I] Consider moving from chrono (deprecated) to jiff [datafusion] via GitHub
• [PR] Add benchmarks smoke test job to extended tests [datafusion] via GitHub
• [PR] Update pinned Rust toolchain action revision [datafusion-python] via GitHub
• [I] Build Release CI job is failing [datafusion-python] via GitHub
• [PR] feat: eliminate LEFT JOINs whose right side is unused [datafusion] via GitHub
  • Re: [PR] feat: eliminate LEFT JOINs whose right side is unused [datafusion] via GitHub
  • Re: [PR] feat: eliminate LEFT JOINs whose right side is unused [datafusion] via GitHub
  • Re: [PR] feat: eliminate LEFT JOINs whose right side is unused [datafusion] via GitHub
• Re: [I] Optimizations for physical execution of range partitioning [datafusion] via GitHub
  • Re: [I] Optimizations for physical execution of range partitioning [datafusion] via GitHub
  • Re: [I] Optimizations for physical execution of range partitioning [datafusion] via GitHub
• Re: [PR] chore: deprecate record_batch macro in favor of upstream one [datafusion] via GitHub
  • Re: [PR] chore: deprecate record_batch macro in favor of upstream one [datafusion] via GitHub
  • Re: [PR] chore: deprecate record_batch macro in favor of upstream one [datafusion] via GitHub
  • Re: [PR] chore: deprecate record_batch macro in favor of upstream one [datafusion] via GitHub
  • Re: [PR] chore: deprecate record_batch macro in favor of upstream one [datafusion] via GitHub
  • Re: [PR] chore: deprecate record_batch macro in favor of upstream one [datafusion] via GitHub
  • Re: [PR] chore: deprecate record_batch macro in favor of upstream one [datafusion] via GitHub
  • Re: [PR] chore: deprecate record_batch macro in favor of upstream one [datafusion] via GitHub
  • Re: [PR] chore: deprecate record_batch macro in favor of upstream one [datafusion] via GitHub
• [PR] perf: optimize spark_lpad in datafusion-comet-spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `spark_lpad` (up to 2x faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `spark_lpad` (up to 2x faster) [datafusion-comet] via GitHub
• [PR] GC & Deduplicate String View on Spill [datafusion] via GitHub
  • Re: [PR] GC & Deduplicate String View on Spill [datafusion] via GitHub
  • Re: [PR] GC & Deduplicate String View on Spill [datafusion] via GitHub
  • Re: [PR] GC & Deduplicate String View on Spill [datafusion] via GitHub
  • Re: [PR] GC & Deduplicate String View on Spill [datafusion] via GitHub
  • Re: [PR] GC & Deduplicate String View on Spill [datafusion] via GitHub
  • Re: [PR] GC & Deduplicate String View on Spill [datafusion] via GitHub
  • Re: [PR] GC & Deduplicate String View on Spill [datafusion] via GitHub
  • Re: [PR] GC & Deduplicate String View on Spill [datafusion] via GitHub
• [PR] perf: optimize spark_cast_float64_to_utf8 in datafusion-comet-spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `spark_cast_float64_to_utf8` (~40% faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `spark_cast_float64_to_utf8` (~40% faster) [datafusion-comet] via GitHub
• [I] External sort spill GC inflates deduplicated string views [datafusion] via GitHub
• [PR] perf: optimize date_parser in datafusion-comet-spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `date_parser` / cast string to date (up to 2x faster) [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize `date_parser` / cast string to date (up to 2x faster) [datafusion-comet] via GitHub

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