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• • Re: [PR] chore(deps): bump soupsieve from 2.8.3 to 2.8.4 [datafusion] via GitHub
• Re: [I] Remove redundant partitioned_by_file_group file scan field [datafusion] via GitHub
• [PR] perf: optimize spark_size in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_size in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_size in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_size in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_size in spark-expr [datafusion-comet] via GitHub
• Re: [I] Centralize `date_bin` per-row mapping for scalar and array inputs [datafusion] via GitHub
• Re: [PR] feat: native collect_list / array_agg aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: native collect_list / array_agg aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: native collect_list / array_agg aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: native collect_list / array_agg aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: native collect_list / array_agg aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: native collect_list / array_agg aggregate [datafusion-comet] via GitHub
• [PR] perf: optimize spark_unhex in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_unhex in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_unhex in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_unhex in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_unhex in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_unhex in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_unhex in spark-expr [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize spark_unhex in spark-expr [datafusion-comet] via GitHub
• Re: [PR] fix: Handle potential overflow in internal state for `avg(decimal)` [datafusion] via GitHub
  • Re: [PR] fix: Handle potential overflow in internal state for `avg(decimal)` [datafusion] via GitHub
  • Re: [PR] fix: Handle potential overflow in internal state for `avg(decimal)` [datafusion] via GitHub
  • Re: [PR] fix: Handle potential overflow in internal state for `avg(decimal)` [datafusion] via GitHub
• Re: [I] feat: Refactor shuffle partition writing behind a writer interface [datafusion-comet] via GitHub
• [PR] perf: avoid full TaskStatus clone when reading partition_id [datafusion-ballista] via GitHub
  • Re: [PR] perf: avoid redundant TaskStatus clones in scheduler update_task_status [datafusion-ballista] via GitHub
• [I] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
  • Re: [I] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
  • Re: [I] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
• [PR] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
  • Re: [PR] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
  • Re: [PR] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
  • Re: [PR] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
  • Re: [PR] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
  • Re: [PR] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
  • Re: [PR] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
  • Re: [PR] Update Rust toolchain to 1.97.0 [datafusion] via GitHub
• [PR] Adamg/fix 23428 [datafusion] via GitHub
• [I] Logical nullability of `InSubquery` expression only takes the expression nullability into account [datafusion] via GitHub
  • Re: [I] Logical nullability of `InSubquery` expression only takes the expression nullability into account [datafusion] via GitHub
• [PR] feat: reclaim intermediate shuffle data on job success [datafusion-ballista] via GitHub
  • Re: [PR] feat: delete intermediate shuffle files on job success [datafusion-ballista] via GitHub
  • Re: [PR] feat: delete intermediate shuffle files on job success [datafusion-ballista] via GitHub
  • Re: [PR] feat: delete intermediate shuffle files on job success [datafusion-ballista] via GitHub
  • Re: [PR] feat: delete intermediate shuffle files on job success [datafusion-ballista] via GitHub
• Re: [I] Improve job failure handling [datafusion-ballista] via GitHub
  • Re: [I] Improve job failure handling [datafusion-ballista] via GitHub
• Re: [I] Port `DynamicFilterPhysicalExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• Re: [PR] feat: [iceberg] support iceberg metadata columns _file, _partition [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] support iceberg metadata columns _file, _partition [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] support iceberg metadata columns _file, _partition [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] support iceberg metadata columns _file, _partition [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] support iceberg metadata columns _file, _partition [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] support iceberg metadata columns _file, _partition [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] support iceberg metadata columns _file, _partition [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] support iceberg metadata columns _file, _partition [datafusion-comet] via GitHub
• [I] Flaky CI: TPC-H SF10 job intermittently fails with "No space left on device" [datafusion-ballista] via GitHub
  • Re: [I] Flaky CI: TPC-H SF10 job intermittently fails with "No space left on device" [datafusion-ballista] via GitHub
• [I] Make shuffle-file compression codec configurable (add ZSTD option) [datafusion-ballista] via GitHub
• Re: [D] Support Spark 3.3/JDK8 [datafusion-comet] via GitHub
  • Re: [D] Support Spark 3.3/JDK8 [datafusion-comet] via GitHub
• [PR] refactor: share leaf-level parquet read plan assembly with the row filter [datafusion] via GitHub
  • Re: [PR] refactor: share leaf-level parquet read plan assembly with the row filter [datafusion] via GitHub
  • Re: [PR] refactor: share leaf-level parquet read plan assembly with the row filter [datafusion] via GitHub
• [PR] chore: [branch-17] backport #4869 [datafusion-comet] via GitHub
  • Re: [PR] chore: [branch-17] backport #4869 [datafusion-comet] via GitHub
  • Re: [PR] chore: [branch-17] backport #4869 [datafusion-comet] via GitHub
• [PR] refactor: collapse repeated root-level parquet read plan construction [datafusion] via GitHub
  • Re: [PR] refactor: collapse repeated root-level parquet read plan construction [datafusion] via GitHub
  • Re: [PR] refactor: de-duplicate parquet read plan construction [datafusion] via GitHub
• [I] Preserve CSE for expensive expressions when pushing projections into file scans [datafusion] via GitHub
  • Re: [I] Preserve CSE for expensive expressions when pushing projections into file scans [datafusion] via GitHub
• Re: [I] Iceberg 1.11 support [datafusion-comet] via GitHub
• [PR] chore: use new `OffsetBuffer::subtract` helper [datafusion] via GitHub
  • Re: [PR] chore: use new `OffsetBuffer::subtract` helper [datafusion] via GitHub
  • Re: [PR] chore: use new `OffsetBuffer::subtract` helper [datafusion] via GitHub
  • Re: [PR] chore: use new `OffsetBuffer::subtract` helper [datafusion] via GitHub
  • Re: [PR] chore: use new `OffsetBuffer::subtract` helper [datafusion] via GitHub
  • Re: [PR] chore: use new `OffsetBuffer::subtract` helper [datafusion] via GitHub
• [PR] Remove unstable public methods for `DynamicFilterPhysicalExpr` after proto migration [datafusion] via GitHub
  • Re: [PR] Remove unstable public methods for `DynamicFilterPhysicalExpr` after proto migration [datafusion] via GitHub
  • Re: [PR] Remove unstable public methods for `DynamicFilterPhysicalExpr` after proto migration [datafusion] via GitHub
  • Re: [PR] Remove unstable public methods for `DynamicFilterPhysicalExpr` after proto migration [datafusion] via GitHub
  • Re: [PR] Remove unstable public methods for `DynamicFilterPhysicalExpr` after proto migration [datafusion] via GitHub
  • Re: [PR] Remove unstable public methods for `DynamicFilterPhysicalExpr` after proto migration [datafusion] via GitHub
• [I] Reduce allocations in approx_percentile QuantileSummaries merge and flush paths [datafusion-comet] via GitHub
• [I] Remove unstable public methods for `DynamicFilterPhysicalExpr` after proto migration [datafusion] via GitHub
  • Re: [I] Remove unstable public methods for `DynamicFilterPhysicalExpr` after proto migration [datafusion] via GitHub
  • Re: [I] Remove unstable public methods for `DynamicFilterPhysicalExpr` after proto migration [datafusion] via GitHub
• Re: [PR] deps: [DO NOT MERGE] test iceberg-rust v0.10.0-rc.3 [datafusion-comet] via GitHub
  • Re: [PR] deps: [DO NOT MERGE] test iceberg-rust v0.10.0-rc.3 [datafusion-comet] via GitHub
• Re: [PR] feat: support approx_percentile / percentile_approx aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: support approx_percentile / percentile_approx aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: support approx_percentile / percentile_approx aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: support approx_percentile / percentile_approx aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: support approx_percentile / percentile_approx aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: support approx_percentile / percentile_approx aggregate [datafusion-comet] via GitHub
  • Re: [PR] feat: support approx_percentile / percentile_approx aggregate [datafusion-comet] via GitHub
• [PR] docs: update Gluten comparison with AWS Labs benchmark and Comet strengths [datafusion-comet] via GitHub
  • Re: [PR] docs: update Gluten comparison with AWS Labs benchmark and Comet strengths [datafusion-comet] via GitHub
• [PR] fix: remove redundant reference in fs-hdfs info! argument to satisfy clippy [datafusion-comet] via GitHub
  • Re: [PR] fix: remove redundant references in format macro arguments to satisfy clippy [datafusion-comet] via GitHub
  • Re: [PR] fix: remove redundant references in format macro arguments to satisfy clippy [datafusion-comet] via GitHub
• [PR] Port `ScalarFunctionExpr` proto serde to a typed `ScalarUdfCodec` (no type erasure) [datafusion] via GitHub
  • Re: [PR] Port `ScalarFunctionExpr` to `try_to_proto`/`try_from_proto` via typed ctx function-codec capabilities [datafusion] via GitHub
  • Re: [PR] Port `ScalarFunctionExpr` to `try_to_proto`/`try_from_proto` via typed ctx function-codec capabilities [datafusion] via GitHub
  • Re: [PR] Port `ScalarFunctionExpr` to `try_to_proto`/`try_from_proto` via typed ctx function-codec capabilities [datafusion] via GitHub
  • Re: [PR] Port `ScalarFunctionExpr` to `try_to_proto`/`try_from_proto` via typed ctx function-codec capabilities [datafusion] via GitHub
  • Re: [PR] Port `ScalarFunctionExpr` to `try_to_proto`/`try_from_proto` via typed ctx function-codec capabilities [datafusion] via GitHub
  • Re: [PR] Port `ScalarFunctionExpr` to `try_to_proto`/`try_from_proto` via typed ctx function-codec capabilities [datafusion] via GitHub
  • Re: [PR] Port `ScalarFunctionExpr` to `try_to_proto`/`try_from_proto` via typed ctx function-codec capabilities [datafusion] via GitHub
  • Re: [PR] Port `ScalarFunctionExpr` to `try_to_proto`/`try_from_proto` via typed ctx function-codec capabilities [datafusion] via GitHub
• [PR] docs: document TPC-H plan-stability golden files and regeneration [datafusion-ballista] via GitHub
  • Re: [PR] docs: document TPC-H plan-stability golden files and regeneration [datafusion-ballista] via GitHub
• [PR] fix: satisfy clippy 1.97 useless_borrows_in_formatting [datafusion-ballista] via GitHub
  • Re: [PR] fix: satisfy clippy 1.97 useless_borrows_in_formatting [datafusion-ballista] via GitHub
• [I] Codify Iceberg version compatibility [datafusion-comet] via GitHub
• Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
  • Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
  • Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
  • Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
  • Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
  • Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
  • Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
  • Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
  • Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
  • Re: [PR] refactor: Migrate ScalarSubqueryExpr to self-serialization proto pattern [datafusion] via GitHub
• [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
• [I] Release Ballista 54.0.0 [datafusion-ballista] via GitHub
  • Re: [I] Release Ballista 54.0.0 [datafusion-ballista] via GitHub
  • Re: [I] Release Ballista 54.0.0 [datafusion-ballista] via GitHub
• [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): decline pushdown when projection has few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub
  • Re: [PR] feat(parquet): Enable Parquet `filter_pushdown` by default, with heurstic fallback when projecting few non-filter columns [datafusion] via GitHub

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