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• Re: [I] RevertNativeForTransitionHeavyStages strips transitions in the stage below when AQE is off [datafusion-comet] via GitHub
• Re: [PR] fix: restore Spark write execs when reverting transition-heavy stages [datafusion-comet] via GitHub
• Re: [PR] fix: report Parquet Bloom filter pruning metrics accurately [datafusion] via GitHub
  • Re: [PR] fix: report Parquet Bloom filter pruning metrics accurately [datafusion] via GitHub
  • Re: [PR] fix: report Parquet Bloom filter pruning metrics accurately [datafusion] via GitHub
• [I] warning: package `chacha20 v0.10.1` in Cargo.lock is yanked in registry `crates-io` [datafusion-ballista] via GitHub
  • Re: [I] warning: package `chacha20 v0.10.1` in Cargo.lock is yanked in registry `crates-io` [datafusion-ballista] via GitHub
  • Re: [I] issues found when publishing crates for 55.0.0 [datafusion-ballista] via GitHub
• Re: [PR] [final state] optional filters stack (do not merge) [datafusion] via GitHub
• [I] [Bug] Native make_date mishandles Date32 overflow and skipped evaluation [datafusion-comet] via GitHub
  • Re: [I] [Bug] Native make_date mishandles Date32 overflow and skipped evaluation [datafusion-comet] via GitHub
• [PR] fix: Return NULL for empty BIT_XOR sliding windows [datafusion] via GitHub
  • Re: [PR] fix: Return NULL for empty BIT_XOR sliding windows [datafusion] via GitHub
• Re: [I] Codegen dispatcher initializes kernels with an incorrect partition index under UNION ALL and coalesce [datafusion-comet] via GitHub
• Re: [I] Investigate nested TPC-H q21 slowdown: Comet 37% slower than Spark at SF1000 [datafusion-comet] via GitHub
• [PR] docs: add AI-assisted contributions page to the contributor guide [datafusion-comet] via GitHub
  • Re: [PR] docs: add AI-assisted contributions page to the contributor guide [datafusion-comet] via GitHub
  • Re: [PR] docs: add AI-assisted contributions page to the contributor guide [datafusion-comet] via GitHub
  • Re: [PR] docs: add AI-assisted contributions page to the contributor guide [datafusion-comet] via GitHub
  • Re: [PR] docs: add AI-assisted contributions page to the contributor guide [datafusion-comet] via GitHub
  • Re: [PR] docs: add AI-assisted contributions page to the contributor guide [datafusion-comet] via GitHub
  • Re: [PR] docs: add AI-assisted contributions page to the contributor guide [datafusion-comet] via GitHub
  • Re: [PR] docs: add AI-assisted contributions page to the contributor guide [datafusion-comet] via GitHub
• [PR] Spark, Databricks: parse multi-unit interval literals [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Spark, Databricks: parse multi-unit interval literals [datafusion-sqlparser-rs] via GitHub
• [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
  • Re: [PR] fix: project columns correctly when scanning iceberg table metadata [datafusion-iceberg] via GitHub
• [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark 4.2 date_trunc overflow for SECOND and MILLISECOND [datafusion-comet] via GitHub
• [I] date_trunc SECOND/MILLISECOND wraps on Spark 4.2, where Spark raises long overflow [datafusion-comet] via GitHub
  • Re: [I] date_trunc SECOND/MILLISECOND wraps on Spark 4.2, where Spark raises long overflow [datafusion-comet] via GitHub
• Re: [I] Metadata tables ignore the scan projection, so projected and aggregate queries return wrong columns or fail [datafusion-iceberg] via GitHub
• [I] Design question: long-term, should native Iceberg scans run through DataFusion's ParquetSource instead of iceberg-rust's ArrowReader? [datafusion-comet] via GitHub
  • Re: [I] Design question: long-term, should native Iceberg scans run through DataFusion's ParquetSource instead of iceberg-rust's ArrowReader? [datafusion-comet] via GitHub
  • Re: [I] Design question: long-term, should native Iceberg scans run through DataFusion's ParquetSource instead of iceberg-rust's ArrowReader? [datafusion-comet] via GitHub
  • Re: [I] Design question: long-term, should native Iceberg scans run through DataFusion's ParquetSource instead of iceberg-rust's ArrowReader? [datafusion-comet] via GitHub
  • Re: [I] Design question: long-term, should native Iceberg scans run through DataFusion's ParquetSource instead of iceberg-rust's ArrowReader? [datafusion-comet] via GitHub
  • Re: [I] Design question: long-term, should native Iceberg scans run through DataFusion's ParquetSource instead of iceberg-rust's ArrowReader? [datafusion-comet] via GitHub
  • Re: [I] Design question: long-term, should native Iceberg scans run through DataFusion's ParquetSource instead of iceberg-rust's ArrowReader? [datafusion-comet] via GitHub
• [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
  • Re: [PR] perf: share one StatisticsContext across all physical optimizer rules [datafusion] via GitHub
• [PR] Preserve list element metadata when rebuilding scalar values [datafusion] via GitHub
  • Re: [PR] Preserve list element metadata when rebuilding scalar values [datafusion] via GitHub
• [I] Native `mode` treats all NaNs as one value on Spark 3.4, where Spark counts each NaN separately [datafusion-comet] via GitHub
• Re: [PR] perf(sort-shuffle): only gc view columns that are sparse [datafusion-ballista] via GitHub
  • Re: [PR] perf(sort-shuffle): only gc view columns that are sparse [datafusion-ballista] via GitHub
• Re: [I] Null treatment of `sort` does not follow DataFusion's default [datafusion-python] via GitHub
• [PR] Fix/exact hashtable accounting group values column [datafusion] via GitHub
  • Re: [PR] fix: use HashTable::allocation_size() in GroupValuesColumn::size() [datafusion] via GitHub
• Re: [PR] feat(datafusion): make IcebergTableProvider::try_new public [datafusion-iceberg] via GitHub
  • Re: [PR] feat(datafusion): make IcebergTableProvider::try_new public [datafusion-iceberg] via GitHub
• Re: [I] Iceberg plan nodes can't be rebuilt by a PhysicalExtensionCodec [datafusion-iceberg] via GitHub
• [PR] chore(deps): bump urllib3 from 2.6.3 to 2.8.0 [datafusion-sandbox] via GitHub
• Re: [PR] chore(deps): bump urllib3 from 2.6.3 to 2.7.0 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump urllib3 from 2.6.3 to 2.7.0 [datafusion-sandbox] via GitHub
• Re: [PR] chore: add benches for remaining comet native kernels [datafusion-comet] via GitHub
• Re: [I] Dictionary performance improvement tickets [datafusion] via GitHub
  • Re: [I] Dictionary performance improvement tickets [datafusion] via GitHub
  • Re: [I] Dictionary performance improvement tickets [datafusion] via GitHub
• Re: [PR] fix: Make default sort order nulls last [datafusion-python] via GitHub
  • Re: [PR] fix: Make default sort order nulls last [datafusion-python] via GitHub
• Re: [PR] perf: retain batched build storage for large hash joins [datafusion] via GitHub
• [PR] feat: run nullable nested float sort keys natively in strict floating-point mode [datafusion-comet] via GitHub
  • Re: [PR] feat: run nullable nested float sort keys natively in strict floating-point mode [datafusion-comet] via GitHub
  • Re: [PR] feat: run nullable nested float sort keys natively in strict floating-point mode [datafusion-comet] via GitHub
  • Re: [PR] feat: run nullable nested float sort keys natively in strict floating-point mode [datafusion-comet] via GitHub
  • Re: [PR] feat: run nullable nested float sort keys natively in strict floating-point mode [datafusion-comet] via GitHub
  • Re: [PR] feat: run nullable nested float sort keys natively in strict floating-point mode [datafusion-comet] via GitHub
  • Re: [PR] feat: run nullable nested float sort keys natively in strict floating-point mode [datafusion-comet] via GitHub
  • Re: [PR] feat: run nullable nested float sort keys natively in strict floating-point mode [datafusion-comet] via GitHub
  • Re: [PR] feat: run nullable nested float sort keys natively in strict floating-point mode [datafusion-comet] via GitHub
• [PR] chore: update documentation links for 1.1.0 release [datafusion-comet] via GitHub
  • Re: [PR] chore: update documentation links for 1.1.0 release [datafusion-comet] via GitHub
• [PR] perf: backport bitmap pruning for runtime join filters [datafusion-comet] via GitHub
  • Re: [PR] perf: backport bitmap pruning for runtime join filters [datafusion-comet] via GitHub
• [PR] fix: include try_add suggestion in ANSI SUM overflow error [datafusion-comet] via GitHub
  • Re: [PR] fix: include try_add suggestion in ANSI SUM overflow error [datafusion-comet] via GitHub
  • Re: [PR] fix: include try_add suggestion in ANSI SUM overflow error [datafusion-comet] via GitHub
  • Re: [PR] fix: include try_add suggestion in ANSI SUM overflow error [datafusion-comet] via GitHub
  • Re: [PR] fix: include try_add suggestion in ANSI SUM overflow error [datafusion-comet] via GitHub
  • Re: [PR] fix: include try_add suggestion in ANSI SUM overflow error [datafusion-comet] via GitHub
  • Re: [PR] fix: include try_add suggestion in ANSI SUM overflow error [datafusion-comet] via GitHub
• [PR] test: add optimizer controls and config isolation to SQL fixtures [datafusion-comet] via GitHub
  • Re: [PR] test: add optimizer controls and config isolation to SQL fixtures [datafusion-comet] via GitHub
• Re: [PR] fix: resolve Azure ABFS authentication through Hadoop and keep ambient credentials out [datafusion-comet] via GitHub
  • Re: [PR] fix: resolve Azure ABFS authentication through Hadoop and keep ambient credentials out [datafusion-comet] via GitHub
  • Re: [PR] fix: resolve Azure ABFS authentication through Hadoop and keep ambient credentials out [datafusion-comet] via GitHub
  • Re: [PR] fix: resolve Azure ABFS authentication through Hadoop and keep ambient credentials out [datafusion-comet] via GitHub
  • Re: [PR] fix: resolve Azure ABFS authentication through Hadoop and keep ambient credentials out [datafusion-comet] via GitHub
  • Re: [PR] fix: resolve Azure ABFS authentication through Hadoop and keep ambient credentials out [datafusion-comet] via GitHub
  • Re: [PR] fix: resolve Azure ABFS authentication through Hadoop and keep ambient credentials out [datafusion-comet] via GitHub
  • Re: [PR] fix: resolve Azure ABFS authentication through Hadoop and keep ambient credentials out [datafusion-comet] via GitHub
  • Re: [PR] fix: resolve Azure ABFS authentication through Hadoop and keep ambient credentials out [datafusion-comet] via GitHub
• [PR] feature(physical-plan): add NullAwareMode to SortMergeJoinExec [datafusion] via GitHub
  • Re: [PR] feature(physical-plan): add NullAwareMode to SortMergeJoinExec [datafusion] via GitHub
  • Re: [PR] feature(physical-plan): add NullAwareMode to SortMergeJoinExec [datafusion] via GitHub
• Re: [I] perf: explore reducing copies in native Celeborn shuffle writes [datafusion-comet] via GitHub
• [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
  • Re: [PR] perf: convert Spark's unsafe rows to Arrow straight from their memory [datafusion-comet] via GitHub
• Re: [PR] feat: enable the Iceberg split-operator plan and native writes by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable the Iceberg split-operator plan and native writes by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable the Iceberg split-operator plan and native writes by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable the Iceberg split-operator plan and native writes by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable the Iceberg split-operator plan and native writes by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable the Iceberg split-operator plan and native writes by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable the Iceberg split-operator plan and native writes by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable the Iceberg split-operator plan and native writes by default [datafusion-comet] via GitHub
• Re: [I] Consolidate date/timestamp truncation and xxhash64 with upstream DataFusion implementations [datafusion-comet] via GitHub
• [PR] docs(bench): add a Trino 483 column to the TPC-H SF1000 results [datafusion-ballista] via GitHub
  • Re: [PR] docs(bench): add a Trino 483 column to the TPC-H SF1000 results [datafusion-ballista] via GitHub
  • Re: [PR] docs(bench): add a Trino 483 column to the TPC-H SF1000 results [datafusion-ballista] via GitHub
• Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
  • Re: [PR] feat: make the plan nodes inspectable and rebuildable [datafusion-iceberg] via GitHub
• [PR] perf: reuse Arrow buffers across batches in Spark-to-Arrow conversion [datafusion-comet] via GitHub
  • Re: [PR] perf: reuse Arrow buffers across batches in Spark-to-Arrow conversion [datafusion-comet] via GitHub
  • Re: [PR] perf: reuse Arrow buffers across batches in Spark-to-Arrow conversion [datafusion-comet] via GitHub
  • Re: [PR] perf: reuse Arrow buffers across batches in Spark-to-Arrow conversion [datafusion-comet] via GitHub

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