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• • Re: [PR] perf: improve Int64 `generate_series` and `range` performance [datafusion] via GitHub
• [PR] test(python): add datafusion-python compatibility tests [datafusion-ballista] via GitHub
  • Re: [PR] test(python): add datafusion-python compatibility tests [datafusion-ballista] via GitHub
  • Re: [PR] test(python): add datafusion-python compatibility tests [datafusion-ballista] via GitHub
  • Re: [PR] test(python): add datafusion-python compatibility tests [datafusion-ballista] via GitHub
  • Re: [PR] test(python): add datafusion-python compatibility tests [datafusion-ballista] via GitHub
  • Re: [PR] test(python): add datafusion-python compatibility tests [datafusion-ballista] via GitHub
  • Re: [PR] test(python): add datafusion-python compatibility tests [datafusion-ballista] via GitHub
  • Re: [PR] test(python): add datafusion-python compatibility tests [datafusion-ballista] via GitHub
  • Re: [PR] test(python): add datafusion-python compatibility tests [datafusion-ballista] via GitHub
• Re: [D] DISCUSSION: Boston Datafusion Meetup September 2026 [datafusion] via GitHub
• [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Add Spark-compatible isnan function [datafusion] via GitHub
• Re: [PR] [datafusion-spark] Add Spark-compatible floor function [datafusion] via GitHub
• [PR] fix(python): ignore ballista-namespaced cluster_config keys locally [datafusion-ballista] via GitHub
  • Re: [PR] fix(python): ignore ballista-namespaced cluster_config keys locally [datafusion-ballista] via GitHub
• [PR] ci: drop Intel macOS Python wheel build [datafusion-ballista] via GitHub
  • Re: [PR] ci: drop Intel macOS Python wheel build [datafusion-ballista] via GitHub
  • Re: [PR] ci: drop Intel macOS Python wheel build [datafusion-ballista] via GitHub
  • Re: [PR] ci: drop Intel macOS Python wheel build [datafusion-ballista] via GitHub
  • Re: [PR] ci: drop Intel macOS Python wheel build [datafusion-ballista] via GitHub
• [I] Adaptive query planner does not support sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [I] Adaptive query planner does not support sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [I] Adaptive query planner does not support sort-based shuffle [datafusion-ballista] via GitHub
  • Re: [I] Adaptive query planner does not support sort-based shuffle [datafusion-ballista] via GitHub
• [I] Iceberg reflection failure [datafusion-comet] via GitHub
  • Re: [I] Iceberg reflection failure [datafusion-comet] via GitHub
• [PR] docs(release): document PyPI publish process for python client [datafusion-ballista] via GitHub
  • Re: [PR] docs(release): document PyPI publish process for python client [datafusion-ballista] via GitHub
  • Re: [PR] docs(release): document PyPI publish process for python client [datafusion-ballista] via GitHub
  • Re: [PR] docs(release): document PyPI publish process for python client [datafusion-ballista] via GitHub
  • Re: [PR] docs(release): document PyPI publish process for python client [datafusion-ballista] via GitHub
  • Re: [PR] docs(release): document PyPI publish process for python client [datafusion-ballista] via GitHub
• [I] Add installation instructions to Python user guide [datafusion-ballista] via GitHub
• Re: [I] Create PyPi Release Process [datafusion-ballista] via GitHub
• [I] Python release wheels: macOS x86_64 wheel is missing and arm64 wheel is built twice [datafusion-ballista] via GitHub
  • Re: [I] Python release wheels: macOS x86_64 wheel is missing and arm64 wheel is built twice [datafusion-ballista] via GitHub
• [I] Ballista configs cannot be set in Python client [datafusion-ballista] via GitHub
  • Re: [I] Ballista configs cannot be set in Python client [datafusion-ballista] via GitHub
  • Re: [I] Ballista configs cannot be set in Python client [datafusion-ballista] via GitHub
• [I] Add IO_BLOCK_TRANSPORT support for sort-based shuffle [datafusion-ballista] via GitHub
• [I] SPARK-53968 SQLViewSuite: decimal arithmetic returns ~10x smaller values through view CTE on Spark 4.1.1 [datafusion-comet] via GitHub
• [I] Comet native sort lacks row-format support for Struct(Map(...)) sort keys [datafusion-comet] via GitHub
  • Re: [I] Comet native sort lacks row-format support for Struct(Map(...)) sort keys [datafusion-comet] via GitHub
  • Re: [I] Comet native sort lacks row-format support for Struct(Map(...)) sort keys [datafusion-comet] via GitHub
• [I] EXCEPT ALL / INTERSECT ALL with GROUP BY return incorrect results on Spark 4.1.1 [datafusion-comet] via GitHub
• [I] Comet native scan rejects invalid UTF-8 byte sequences in STRING column (hll.sql on Spark 4.1) [datafusion-comet] via GitHub
  • Re: [I] Comet native scan rejects invalid UTF-8 byte sequences in STRING column (hll.sql on Spark 4.1) [datafusion-comet] via GitHub
• [I] Type annotation requires UDFs to return a type instead of an array [datafusion-python] via GitHub
• Re: [I] Add support for nested types to `nullif`. [datafusion] via GitHub
• Re: [I] Support `EXPLAIN ANALYZE` in Ballista [datafusion-ballista] via GitHub
• [PR] chore(deps): bump libloading from 0.8.9 to 0.9.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump libloading from 0.8.9 to 0.9.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump libloading from 0.8.9 to 0.9.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump libloading from 0.8.9 to 0.9.0 [datafusion] via GitHub
• [PR] chore(deps): update pydata-sphinx-theme requirement from <1,>=0.17.0 to >=0.17.1,<1 in /docs [datafusion] via GitHub
  • Re: [PR] chore(deps): update pydata-sphinx-theme requirement from <1,>=0.17.0 to >=0.17.1,<1 in /docs [datafusion] via GitHub
• [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group [datafusion] via GitHub
  • Re: [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group [datafusion] via GitHub
  • Re: [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.75.18 to 2.75.23 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.75.18 to 2.75.23 [datafusion] via GitHub
• Re: [I] Potential Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [I] Potential Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [I] Potential Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [I] Potential Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
• Re: [I] [DRAFT, EPIC] Full lambda support [datafusion] via GitHub
  • Re: [I] [DRAFT, EPIC] Full lambda support [datafusion] via GitHub
  • Re: [I] [DRAFT, EPIC] Full lambda support [datafusion] via GitHub
  • Re: [I] [DRAFT, EPIC] Full lambda support [datafusion] via GitHub
• [PR] Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
  • Re: [PR] feat: Improved multiple column aggregation performance by using bitmasks rather than `Vec<bool>` [datafusion] via GitHub
• Re: [PR] feat: Support column based partition write in comet IO [datafusion-comet] via GitHub
• Re: [PR] feat: [iceberg] allow native Iceberg scans with non-identity transform residuals [datafusion-comet] via GitHub
• [PR] ci: pin JDK per Spark version in Iceberg workflow matrix [datafusion-comet] via GitHub
  • Re: [PR] ci: pin JDK per Spark version in Iceberg workflow matrix [datafusion-comet] via GitHub
  • Re: [PR] ci: pin JDK per Spark version in Iceberg workflow matrix [datafusion-comet] via GitHub
  • Re: [PR] ci: pin JDK per Spark version in Iceberg workflow matrix [datafusion-comet] via GitHub
• [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
  • Re: [PR] fix(proto): correctly serialize FilterExec empty projection [datafusion] via GitHub
• Re: [PR] fix(optimizer): preserve filter execution order in PushDownFilter [datafusion] via GitHub
  • Re: [PR] fix(optimizer): preserve filter execution order in PushDownFilter [datafusion] via GitHub
• [PR] chore(deps): bump reqwest from 0.13.2 to 0.13.3 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump reqwest from 0.13.2 to 0.13.3 [datafusion-ballista] via GitHub
• [PR] Fix GH action permissions in `rust.yml` and `docs.yaml` workflows [datafusion] via GitHub
  • Re: [PR] Fix GH action permissions in `rust.yml` and `docs.yaml` workflows [datafusion] via GitHub
  • Re: [PR] Fix GH action permissions in `rust.yml` and `docs.yaml` workflows [datafusion] via GitHub
  • Re: [PR] Fix GH action permissions in `rust.yml` and `docs.yaml` workflows [datafusion] via GitHub
  • Re: [PR] Fix GH action permissions in `rust.yml` and `docs.yaml` workflows [datafusion] via GitHub
  • Re: [PR] Fix GH action permissions in `rust.yml` and `docs.yaml` workflows [datafusion] via GitHub
  • Re: [PR] Fix GH action permissions in `rust.yml` and `docs.yaml` workflows [datafusion] via GitHub
• [PR] build: add spark-4.2 Maven profile targeting 4.2.0-preview4 [datafusion-comet] via GitHub
  • Re: [PR] build: add spark-4.2 Maven profile targeting 4.2.0-preview4 [datafusion-comet] via GitHub
• [PR] refactor: consolidate identical spark-4.0 and spark-4.1 shims into spark-4.x [datafusion-comet] via GitHub
  • Re: [PR] refactor: consolidate identical spark-4.0 and spark-4.1 shims into spark-4.x [datafusion-comet] via GitHub
  • Re: [PR] refactor: consolidate identical spark-4.0 and spark-4.1 shims into spark-4.x [datafusion-comet] via GitHub
• Re: [PR] Do not merge - Test df binding python [datafusion] via GitHub
• Re: [PR] feat: [iceberg] Pass table master key ID to native scan [datafusion-comet] via GitHub
• Re: [PR] Run core benchmarks with CodSpeed [datafusion] via GitHub
• Re: [PR] Fix:c Median() truncates integers by returning Float64 for integer inputs [datafusion] via GitHub
• Re: [PR] feat: Prune complex/nested predicates via statistics propagation [datafusion] via GitHub
• Re: [PR] feat: Add Spark-compatible `xxhash64` and `murmur3` hash functions [datafusion] via GitHub
  • Re: [PR] feat: Add Spark-compatible `xxhash64` and `murmur3` hash functions [datafusion] via GitHub
  • Re: [PR] feat: Add Spark-compatible `xxhash64` and `murmur3` hash functions [datafusion] via GitHub
• Re: [PR] Refactor(optimizer): Simplify Stable ScalarUDFs using physical execution [datafusion] via GitHub
• Re: [PR] perf: reduce read amplification for partitioned JSON file scanning [datafusion] via GitHub
• Re: [PR] Fix: External sort OOM for single oversized batches by chunked spill fallback [datafusion] via GitHub
• Re: [PR] [TEST] Filter pushdown dynamic [datafusion] via GitHub
• Re: [PR] AggregateExec: incremental memory release before streaming merge [datafusion] via GitHub
• Re: [PR] fix(explain): render aggregate expressions correctly when CSE is applied [datafusion] via GitHub
• Re: [PR] Simplify case when all result expressions are identical [datafusion] via GitHub
• Re: [PR] Remove from string column [datafusion] via GitHub
• Re: [PR] feat: add coerce_arguments flag to UDTFs to allow skipping automatic … [datafusion] via GitHub
• Re: [PR] refactor: Consolidate async UDF handling in physical planner [datafusion] via GitHub
• Re: [PR] feat: add LazyPartitioned mode for hash join to reduce RepartitionExec overhead [datafusion] via GitHub
• Re: [PR] Preserve input field nullability in ArrayAgg return field [datafusion] via GitHub
• Re: [PR] Changed clippy.toml and added std hashmap and hashset to disallowed t… [datafusion] via GitHub
• Re: [PR] Gene.bordegaray/2026/02/partition index dynamic filters [datafusion] via GitHub
• Re: [PR] [BENCH] Benchmark upgrade coalesce improvements [datafusion] via GitHub
• Re: [PR] docs: add Docker-based workflow for building documentation [datafusion] via GitHub
• Re: [PR] Support reverse page ordering in sort pushdown phase 1 [datafusion] via GitHub
• Re: [PR] Add preimage optimization for `ceil` to rewrite predicates into range filters [datafusion] via GitHub
• Re: [PR] [datafusion-spark] Implement map function [datafusion] via GitHub
• Re: [PR] WIP: FFI query planner [datafusion] via GitHub
• [PR] feat: default to sort-based shuffle writer [datafusion-ballista] via GitHub
  • Re: [PR] feat: default to sort-based shuffle writer [datafusion-ballista] via GitHub
  • Re: [PR] feat: default to sort-based shuffle writer [WIP] [datafusion-ballista] via GitHub
  • Re: [PR] feat: default to sort-based shuffle writer [WIP] [datafusion-ballista] via GitHub
  • Re: [PR] feat: default to sort-based shuffle writer [WIP] [datafusion-ballista] via GitHub
• [PR] fix: throw SchemaColumnConvertNotSupportedException from native_datafusion schema mismatch [datafusion-comet] via GitHub
  • Re: [PR] fix: throw SchemaColumnConvertNotSupportedException from native_datafusion schema mismatch [datafusion-comet] via GitHub
  • Re: [PR] fix: throw SchemaColumnConvertNotSupportedException from native_datafusion schema mismatch [datafusion-comet] via GitHub
• [PR] feat: split disk_write_time from write_time in sort shuffle writer [datafusion-ballista] via GitHub
  • Re: [PR] feat: split disk_write_time from write_time in sort shuffle writer [datafusion-ballista] via GitHub
• Re: [I] Dictionary coercion on min/max [datafusion] via GitHub
• Re: [PR] Support Dictionary Arrays in MIN/MAX Aggregates [datafusion] via GitHub
  • Re: [PR] Support Dictionary Arrays in MIN/MAX Aggregates [datafusion] via GitHub
• [I] Replace shuffle implementation with version based on Comet [datafusion-ballista] via GitHub
  • Re: [I] Replace shuffle implementation with version based on Comet [datafusion-ballista] via GitHub
• Re: [I] Release DataFusion `54.0.0` (Apr 2026 / May 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.0.0` (Apr 2026 / May 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.0.0` (Apr 2026 / May 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.0.0` (Apr 2026 / May 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.0.0` (Apr 2026 / May 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.0.0` (Apr 2026 / May 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.0.0` (Apr 2026 / May 2026) [datafusion] via GitHub
• [PR] feat: Utf8View and BinaryView support [datafusion-comet] via GitHub
• [PR] feat(aqe): support executor failure in AdaptiveExecutionGraph [datafusion-ballista] via GitHub
• Re: [I] Improve documentation for configs related to explain/fallback [datafusion-comet] via GitHub
• [PR] feat: rewrite standalone shuffle_bench to drive real Parquet input [datafusion-ballista] via GitHub
  • Re: [PR] feat: Add standalone shuffle writer benchmark that shuffles real Parquet input [datafusion-ballista] via GitHub
  • Re: [PR] feat: Add standalone shuffle writer benchmark that shuffles real Parquet input [datafusion-ballista] via GitHub
  • Re: [PR] feat: Add standalone shuffle writer benchmark that shuffles real Parquet input [datafusion-ballista] via GitHub
  • Re: [PR] feat: Add standalone shuffle writer benchmark that shuffles real Parquet input [datafusion-ballista] via GitHub
  • Re: [PR] feat: Add standalone shuffle writer benchmark that shuffles real Parquet input [datafusion-ballista] via GitHub
• [I] Configuration guide should be generated from code [datafusion-ballista] via GitHub
• Re: [PR] feat: support `PartialMerge` aggregation mode [datafusion-comet] via GitHub

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