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• • Re: [PR] feat(sort-shuffle): byte-copy spill files and enable block-IO transport [datafusion-ballista] via GitHub
  • Re: [PR] feat(sort-shuffle): byte-copy spill files and enable block-IO transport [datafusion-ballista] via GitHub
  • Re: [PR] feat(sort-shuffle): byte-copy spill files and enable block-IO transport [datafusion-ballista] via GitHub
• [PR] docs: clarify when scalar function serde must set return type [datafusion-comet] via GitHub
  • Re: [PR] docs: improve review skill and contributor guide for serde patterns [datafusion-comet] via GitHub
  • Re: [PR] docs: improve review skill and contributor guide for serde patterns [datafusion-comet] via GitHub
• Re: [PR] Fix metrics for repartition [datafusion] via GitHub
• [PR] feat(functions-nested): add array_filter higher-order function [datafusion] via GitHub
  • Re: [PR] feat(functions-nested): add array_filter higher-order function [datafusion] via GitHub
  • Re: [PR] feat(functions-nested): add array_filter higher-order function [datafusion] via GitHub
  • Re: [PR] feat(functions-nested): add array_filter higher-order function [datafusion] via GitHub
  • Re: [PR] feat(functions-nested): add array_filter higher-order function [datafusion] via GitHub
  • Re: [PR] feat(functions-nested): add array_filter higher-order function [datafusion] via GitHub
• Re: [I] CaseWhen does not work with custom implemented column expression [datafusion] via GitHub
  • Re: [I] CaseWhen does not work with custom implemented column expression [datafusion] via GitHub
  • Re: [I] CaseWhen does not work with custom implemented column expression [datafusion] via GitHub
  • Re: [I] CaseWhen does not work with custom implemented column expression [datafusion] via GitHub
  • Re: [I] CaseWhen does not work with custom implemented column expression [datafusion] via GitHub
  • Re: [I] CaseWhen does not work with custom implemented column expression [datafusion] via GitHub
• [PR] perf: optimize retract_batch for `median` and `percentile_cont` [datafusion] via GitHub
  • Re: [PR] perf: optimize retract_batch for `median` and `percentile_cont` [datafusion] via GitHub
  • Re: [PR] perf: optimize retract_batch for `median` and `percentile_cont` [datafusion] via GitHub
  • Re: [PR] perf: optimize retract_batch for `median` and `percentile_cont` [datafusion] via GitHub
• [I] FIRST/LAST returns wrong result with `PartialMerge` [datafusion-comet] via GitHub
  • Re: [I] FIRST/LAST returns wrong result with `PartialMerge` [datafusion-comet] via GitHub
  • Re: [I] FIRST/LAST returns wrong result with `PartialMerge` [datafusion-comet] via GitHub
• [I] Apply spark.comet.exec.strictFloatingPoint to RangePartitioning [datafusion-comet] via GitHub
  • Re: [I] Apply spark.comet.exec.strictFloatingPoint to RangePartitioning [datafusion-comet] via GitHub
• [I] Uncancellable FilterExec when the predicate rejects all rows [datafusion] via GitHub
  • Re: [I] Uncancellable FilterExec when the predicate rejects all rows [datafusion] via GitHub
  • Re: [I] Uncancellable FilterExec when the predicate rejects all rows [datafusion] via GitHub
  • Re: [I] Uncancellable FilterExec when the predicate rejects all rows [datafusion] via GitHub
  • Re: [I] Uncancellable FilterExec when the predicate rejects all rows [datafusion] via GitHub
• [PR] Allow pickling PyExpr [datafusion-python] via GitHub
• [PR] test: support fallback chain in CometPlanStabilitySuite, dedupe existing goldens [datafusion-comet] via GitHub
  • Re: [PR] test: support fallback chain in CometPlanStabilitySuite, dedupe existing goldens [datafusion-comet] via GitHub
  • Re: [PR] test: support fallback chain in CometPlanStabilitySuite, dedupe existing goldens [datafusion-comet] via GitHub
  • Re: [PR] test: support fallback chain in CometPlanStabilitySuite, dedupe existing goldens [datafusion-comet] via GitHub
  • Re: [PR] test: support fallback chain in CometPlanStabilitySuite, dedupe existing goldens [datafusion-comet] via GitHub
  • Re: [PR] test: support fallback chain in CometPlanStabilitySuite, dedupe existing goldens [datafusion-comet] via GitHub
• Re: [PR] [DRAFT] Add lambda substrait support [datafusion] via GitHub
  • Re: [PR] [DRAFT] Add lambda substrait support [datafusion] via GitHub
  • Re: [PR] [DRAFT] Add lambda substrait support [datafusion] via GitHub
  • Re: [PR] [DRAFT] Add lambda substrait support [datafusion] via GitHub
• [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
  • Re: [PR] feat: task-level input metrics (bytesRead) for Iceberg native scan [datafusion-comet] via GitHub
• [PR] WIP: wire `array_exists` on experimental DF branch [datafusion-comet] via GitHub
  • Re: [PR] WIP: wire `array_exists` on experimental DF branch [datafusion-comet] via GitHub
  • Re: [PR] WIP: wire `array_exists` on experimental DF branch [datafusion-comet] via GitHub
• [PR] [WIP] ci: enable PR test matrix and TPCDS plan-stability for Spark 4.2 [datafusion-comet] via GitHub
  • Re: [PR] ci: Enable Comet PR test matrix and TPCDS plan-stability for Spark 4.2 [datafusion-comet] via GitHub
  • Re: [PR] ci: Enable Comet PR test matrix and TPCDS plan-stability for Spark 4.2 [datafusion-comet] via GitHub
  • Re: [PR] ci: Enable Comet PR test matrix and TPCDS plan-stability for Spark 4.2 [datafusion-comet] via GitHub
  • Re: [PR] ci: Enable Comet PR test matrix and TPCDS plan-stability for Spark 4.2 [datafusion-comet] via GitHub
  • Re: [PR] ci: Enable Comet PR test matrix and TPCDS plan-stability for Spark 4.2 [datafusion-comet] via GitHub
  • Re: [PR] ci: Enable Comet PR test matrix and TPCDS plan-stability for Spark 4.2 [datafusion-comet] via GitHub
• [PR] Snowflake: Fix COPY INTO transformation parsing for cast expressions [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Snowflake: Fix COPY INTO transformation parsing for cast expressions [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Snowflake: Fix COPY INTO transformation parsing for cast expressions [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Snowflake: Fix COPY INTO transformation parsing for cast expressions [datafusion-sqlparser-rs] via GitHub
• [PR] BigQuery: Parse WITH CONNECTION on CREATE EXTERNAL TABLE [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] BigQuery: Parse WITH CONNECTION on CREATE EXTERNAL TABLE [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] BigQuery: Parse WITH CONNECTION on CREATE EXTERNAL TABLE [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] BigQuery: Parse WITH CONNECTION on CREATE EXTERNAL TABLE [datafusion-sqlparser-rs] via GitHub
• [PR] Snowflake: Accept COPY GRANTS after CREATE VIEW column list [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Snowflake: Accept COPY GRANTS after CREATE VIEW column list [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Snowflake: Accept COPY GRANTS after CREATE VIEW column list [datafusion-sqlparser-rs] via GitHub
• [PR] Implement UnionCheckVisitor [datafusion] via GitHub
  • Re: [PR] Implement SumCardinalityVisitor [datafusion] via GitHub
• [PR] perf: improve Int64 `generate_series` and `range` performance [datafusion] via GitHub
  • 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 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
• [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

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