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• • Re: [PR] Add new stats pruning helpers to allow combining partition values in file level stats [datafusion] via GitHub
  • Re: [PR] Add new stats pruning helpers to allow combining partition values in file level stats [datafusion] via GitHub
  • Re: [PR] Add new stats pruning helpers to allow combining partition values in file level stats [datafusion] via GitHub
  • Re: [PR] Add new stats pruning helpers to allow combining partition values in file level stats [datafusion] via GitHub
  • Re: [PR] Add new stats pruning helpers to allow combining partition values in file level stats [datafusion] via GitHub
  • Re: [PR] Add new stats pruning helpers to allow combining partition values in file level stats [datafusion] via GitHub
• Re: [PR] Introduce Async User Defined Functions [datafusion] via GitHub
  • Re: [PR] Introduce Async User Defined Functions [datafusion] via GitHub
  • Re: [PR] Introduce Async User Defined Functions [datafusion] via GitHub
  • Re: [PR] Introduce Async User Defined Functions [datafusion] via GitHub
  • Re: [PR] Introduce Async User Defined Functions [datafusion] via GitHub
• [PR] fix: Fall back to Spark for maps containing complex types [datafusion-comet] via GitHub
  • Re: [PR] fix: [native_iceberg_compat / native_datafusion] Fall back to Spark for maps containing structs [datafusion-comet] via GitHub
  • Re: [PR] fix: [native_iceberg_compat / native_datafusion] Fall back to Spark for maps containing structs [datafusion-comet] via GitHub
  • Re: [PR] fix: [native_iceberg_compat / native_datafusion] Fall back to Spark for maps containing structs [datafusion-comet] via GitHub
  • Re: [PR] fix: [native_iceberg_compat / native_datafusion] Fall back to Spark for maps containing structs [datafusion-comet] via GitHub
  • Re: [PR] fix: [native_iceberg_compat / native_datafusion] Fall back to Spark for maps containing structs [datafusion-comet] via GitHub
  • Re: [PR] fix: [native_iceberg_compat / native_datafusion] Fall back to Spark for maps containing structs [datafusion-comet] via GitHub
• [PR] refactor(optimizer): add `.with_schema` for defining test tables [datafusion] via GitHub
  • Re: [PR] refactor(optimizer): Add support for dynamically adding test tables [datafusion] via GitHub
  • Re: [PR] refactor(optimizer): Add support for dynamically adding test tables [datafusion] via GitHub
  • Re: [PR] refactor(optimizer): Add support for dynamically adding test tables [datafusion] via GitHub
  • Re: [PR] refactor(optimizer): Add support for dynamically adding test tables [datafusion] via GitHub
• Re: [PR] replace reassign_predicate_columns helper with PhysicalExpr::with_schema [datafusion] via GitHub
• Re: [I] Spark SQL test failures in native_iceberg_compat mode [datafusion-comet] via GitHub
• Re: [I] Improve Display format of `BoundedWindowAggExec` [datafusion] via GitHub
• Re: [I] Experimental native scan test failures [datafusion-comet] via GitHub
  • Re: [I] Experimental native scan test failures [datafusion-comet] via GitHub
• [I] Support correlated scalar subquery without aggregation [datafusion] via GitHub
  • Re: [I] Support correlated scalar subquery without aggregation [datafusion] via GitHub
• Re: [I] Reduce Field Copy operations before releasing 48.0.0 [datafusion] via GitHub
  • Re: [I] Reduce Field Copy operations before releasing 48.0.0 [datafusion] via GitHub
• [PR] chore: Ignore Spark SQL Parquet encryption tests [datafusion-comet] via GitHub
  • Re: [PR] chore: Ignore Spark SQL Parquet encryption tests [datafusion-comet] via GitHub
  • Re: [PR] chore: [native_iceberg_compat / native_datafusion] Ignore Spark SQL Parquet encryption tests [datafusion-comet] via GitHub
• [PR] chore: Enable partial Spark SQL tests for iceberg compat [datafusion-comet] via GitHub
  • Re: [PR] chore: Enable partial Spark SQL tests for iceberg compat [datafusion-comet] via GitHub
  • Re: [PR] chore: Enable partial Spark SQL tests for iceberg compat [datafusion-comet] via GitHub
  • Re: [PR] chore: Enable partial Spark SQL tests for iceberg compat [datafusion-comet] via GitHub
  • Re: [PR] chore: Enable partial Spark SQL tests for `native_iceberg_compat` scan [datafusion-comet] via GitHub
• [PR] Specialized `GroupValues` for `primitive` and `large_primitive`Improve primitive group values [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
  • Re: [PR] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
• [I] Specialized `GroupValues` for `primitive` and `large_primitive` [datafusion] via GitHub
• [I] Scalar subquery (`Expr::ScalarSubquery`) does not fail when subquery is not scalar [datafusion] via GitHub
  • Re: [I] Scalar subquery (`Expr::ScalarSubquery`) does not fail when subquery is not scalar [datafusion] via GitHub
• Re: [I] Change mapping of SQL `VARCHAR` from `Utf8` to `Utf8View` [datafusion] via GitHub
  • Re: [I] Change mapping of SQL `VARCHAR` from `Utf8` to `Utf8View` [datafusion] via GitHub
  • Re: [I] Change mapping of SQL `VARCHAR` from `Utf8` to `Utf8View` [datafusion] via GitHub
  • Re: [I] Change mapping of SQL `VARCHAR` from `Utf8` to `Utf8View` [datafusion] via GitHub
• Re: [I] Support `AVG` for durations [datafusion] via GitHub
• Re: [I] Improve docs to setup Comet / Spark on IntelliJ [datafusion-comet] via GitHub
• [I] union all +aggregate function in the recursive cte results an infinite loop [datafusion-python] via GitHub
  • Re: [I] union all +aggregate function in the recursive cte results an infinite loop [datafusion-python] via GitHub
  • Re: [I] union all +aggregate function in the recursive cte results an infinite loop [datafusion-python] via GitHub
  • Re: [I] union all +aggregate function in the recursive cte results an infinite loop [datafusion-python] via GitHub
  • Re: [I] union all +aggregate function in the recursive cte results an infinite loop [datafusion-python] via GitHub
• Re: [PR] wip remove future overhead when tracing is off. [datafusion] via GitHub
• Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
  • Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
  • Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
  • Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
  • Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
  • Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
  • Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
  • Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
  • Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
  • Re: [PR] Support filtering specific sqllogictests identified by line number [datafusion] via GitHub
• [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
  • Re: [PR] Fix parquet test using wrong schema [datafusion] via GitHub
• [I] [Track]: Stablize external sort queries [datafusion] via GitHub
• [I] Track: Enable Arrow Row format by default in sort execution [datafusion] via GitHub
  • Re: [I] [Track]: Enable Arrow Row format by default in sort execution [datafusion] via GitHub
• [I] Support compression in spill files [datafusion] via GitHub
  • Re: [I] Support compression in spill files [datafusion] via GitHub
  • Re: [I] Support compression in spill files [datafusion] via GitHub
  • Re: [I] Support compression in spill files [datafusion] via GitHub
  • Re: [I] Support compression in spill files [datafusion] via GitHub
• [PR] chore(deps): bump object_store from 0.12.0 to 0.12.1 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump object_store from 0.12.0 to 0.12.1 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump object_store from 0.12.0 to 0.12.1 [datafusion] via GitHub
• [PR] chore(deps): bump syn from 2.0.100 to 2.0.101 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump syn from 2.0.100 to 2.0.101 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump syn from 2.0.100 to 2.0.101 [datafusion] via GitHub
• Re: [PR] Include data types in logical plans of inferred prepare statements [datafusion] via GitHub
  • Re: [PR] Include data types in logical plans of inferred prepare statements [datafusion] via GitHub
  • Re: [PR] Include data types in logical plans of inferred prepare statements [datafusion] via GitHub
  • Re: [PR] Include data types in logical plans of inferred prepare statements [datafusion] via GitHub
  • Re: [PR] Include data types in logical plans of inferred prepare statements [datafusion] via GitHub
• Re: [I] Integrate `Analyzer` within LogicalPlan building stage [datafusion] via GitHub
• [I] The SQL Unparser `unproject_sort_expr` does not handle arbitrary expressions [datafusion] via GitHub
  • Re: [I] The SQL Unparser `unproject_sort_expr` does not handle arbitrary expressions [datafusion] via GitHub
• [PR] Phillip/250521 fix sort unproject unparser upstream [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
  • Re: [PR] Improve `unproject_sort_expr` to handle arbitrary expressions [datafusion] via GitHub
• Re: [PR] Handle optional datatypes properly in `CREATE FUNCTION` statements [datafusion-sqlparser-rs] via GitHub
• [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
• [I] [datafusion-spark] Implement `factorial` function [datafusion] via GitHub
• Re: [I] Move prepare/parameter handling tests into their own module [datafusion] via GitHub
  • Re: [I] Move prepare/parameter handling tests into their own module [datafusion] via GitHub
• Re: [PR] feat: Add support for `expm1` expression from `datafusion-spark` crate [datafusion-comet] via GitHub
  • Re: [PR] feat: Add support for `expm1` expression from `datafusion-spark` crate [datafusion-comet] via GitHub
• [PR] chore: Use pre created data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
  • Re: [PR] chore: Use materialized data for filter pushdown tests [datafusion] via GitHub
• [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
  • Re: [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
  • Re: [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
  • Re: [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
  • Re: [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
  • Re: [PR] Shift from Field to FieldRef for all user defined functions [datafusion] via GitHub
• [I] commit 304488d3... (2025-02-05) broke JOIN ... USING("UPPERCASE_FIELD_NAME") [datafusion] via GitHub
  • Re: [I] commit 304488d3... (2025-02-05) broke JOIN ... USING("UPPERCASE_FIELD_NAME") [datafusion] via GitHub
  • Re: [I] commit 304488d3... (2025-02-05) broke JOIN ... USING("UPPERCASE_FIELD_NAME") [datafusion] via GitHub
  • Re: [I] commit 304488d3... (2025-02-05) broke JOIN ... USING("UPPERCASE_FIELD_NAME") [datafusion] via GitHub
• [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
  • Re: [PR] chore: Reenable nested types for CometFuzzTestSuite with int96 [datafusion-comet] via GitHub
• Re: [PR] pipe column orderings into pruning predicate creation [datafusion] via GitHub
• [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [PR] docs: Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
• [I] Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
  • Re: [I] Fix typos and minor grammatical issues in Architecture docs [datafusion] via GitHub
• [PR] Docs: Setup Comet on IntelliJ [datafusion-comet] via GitHub
  • Re: [PR] Docs: Setup Comet on IntelliJ [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump testcontainers from 0.23.3 to 0.24.0 [datafusion] via GitHub
• [I] mac CI tests failing with `fatal runtime error: stack overflow` [datafusion] via GitHub
  • Re: [I] mac CI tests failing with `fatal runtime error: stack overflow` [datafusion] via GitHub
• Re: [I] Type coercion does not handle `Float16` correctly [datafusion] via GitHub
• [I] [native_datafusion] PARQUET_FIELD_ID_READ_ENABLED is not respected [datafusion-comet] via GitHub
• [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: Fallback to Spark when PARQUET_FIELD_ID_READ_ENABLED=true for new native scans [datafusion-comet] via GitHub
• [I] Support `VARIANT` type for unstructured data [datafusion] via GitHub
• [PR] Improve the DML / DDL Documentation [datafusion] via GitHub

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