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• • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
  • Re: [PR] Provide user-defined invariants for logical node extensions. [datafusion] via GitHub
• [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
  • Re: [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
  • Re: [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
  • Re: [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
  • Re: [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
  • Re: [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
  • Re: [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
  • Re: [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
  • Re: [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
  • Re: [PR] WIP: Update to arrow-rs / parquet `54.1.0` [datafusion] via GitHub
• [I] Implement physical optimizer rule to apply type coercion to physical plans [datafusion] via GitHub
  • Re: [I] Implement physical optimizer rule to apply type coercion to physical plans [datafusion] via GitHub
  • Re: [I] Implement physical optimizer rule to apply type coercion to physical plans [datafusion] via GitHub
  • Re: [I] Implement physical optimizer rule to apply type coercion to physical plans [datafusion] via GitHub
• [PR] equivalence classes: use normalized mapping for projection [datafusion] via GitHub
  • Re: [PR] equivalence classes: use normalized mapping for projection [datafusion] via GitHub
  • Re: [PR] equivalence classes: use normalized mapping for projection [datafusion] via GitHub
  • Re: [PR] equivalence classes: use normalized mapping for projection [datafusion] via GitHub
  • Re: [PR] equivalence classes: use normalized mapping for projection [datafusion] via GitHub
• [I] Equivalence class projection does not find new equivalent classes correctly [datafusion] via GitHub
  • Re: [I] Equivalence class projection does not find new equivalent classes correctly [datafusion] via GitHub
  • Re: [I] Equivalence class projection does not find new equivalent classes correctly [datafusion] via GitHub
• [PR] feat: Add regexp_substr function [datafusion] via GitHub
  • Re: [PR] feat: Add regexp_substr function [datafusion] via GitHub
  • Re: [PR] feat: Add regexp_substr function [datafusion] via GitHub
  • Re: [PR] feat: Add regexp_substr function [datafusion] via GitHub
  • Re: [PR] feat: Add regexp_substr function [datafusion] via GitHub
  • Re: [PR] feat: Add regexp_substr function [datafusion] via GitHub
• Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Improve speed of `median` by implementing special `GroupsAccumulator` [datafusion] via GitHub
• [PR] refactor: switch `BooleanBufferBuilder` to `NullBufferBuilder` in unit tests of multi_group_by [datafusion] via GitHub
  • Re: [PR] refactor: switch `BooleanBufferBuilder` to `NullBufferBuilder` in unit tests of multi_group_by [datafusion] via GitHub
• Re: [I] Dec 3. 2024: This week in DataFusion [datafusion] via GitHub
• Re: [I] Read string as Utf8View in sqllogictest [datafusion] via GitHub
• Re: [I] Update `REGEXP_MATCH` scalar function to support Utf8View [datafusion] via GitHub
• [PR] Improve deprecation message for MemoryExec [datafusion] via GitHub
  • Re: [PR] Improve deprecation message for MemoryExec [datafusion] via GitHub
  • Re: [PR] Improve deprecation message for MemoryExec [datafusion] via GitHub
• [PR] refactor: switch `BooleanBufferBuilder` to `NullBufferBuilder` in unit tests for unnest [datafusion] via GitHub
  • Re: [PR] refactor: switch `BooleanBufferBuilder` to `NullBufferBuilder` in unit tests for unnest [datafusion] via GitHub
  • Re: [PR] refactor: switch `BooleanBufferBuilder` to `NullBufferBuilder` in unit tests for unnest [datafusion] via GitHub
• [PR] Improve documentation about extended tests [datafusion] via GitHub
  • Re: [PR] Improve documentation about extended tests [datafusion] via GitHub
  • Re: [PR] Improve documentation about extended tests [datafusion] via GitHub
• [I] Add a way to trigger the `extended` test suite from a PR [datafusion] via GitHub
  • Re: [I] Add a way to trigger the `extended` test suite from a PR [datafusion] via GitHub
  • Re: [I] Add a way to trigger the `extended` test suite from a PR [datafusion] via GitHub
  • Re: [I] Add a way to trigger the `extended` test suite from a PR [datafusion] via GitHub
• Re: [PR] fix: yield when the next file is ready to open to prevent CPU starvation [datafusion] via GitHub
• [I] Suggestion: Move to SBT for faster development cycle? [datafusion-comet] via GitHub
  • Re: [I] Suggestion: Move to SBT for faster development cycle? [datafusion-comet] via GitHub
  • Re: [I] Suggestion: Move to SBT for faster development cycle? [datafusion-comet] via GitHub
  • Re: [I] Suggestion: Move to SBT for faster development cycle? [datafusion-comet] via GitHub
  • Re: [I] Suggestion: Move to SBT for faster development cycle? [datafusion-comet] via GitHub
  • Re: [I] Suggestion: Move to SBT for faster development cycle? [datafusion-comet] via GitHub
  • Re: [I] Suggestion: Move to SBT for faster development cycle? [datafusion-comet] via GitHub
  • Re: [I] Suggestion: Move to SBT for faster development cycle? [datafusion-comet] via GitHub
  • Re: [I] Suggestion: Move to SBT for faster development cycle? [datafusion-comet] via GitHub
• [I] Utility .map function for DataFrame [datafusion] via GitHub
  • Re: [I] Utility .map function for DataFrame for modifying internal LogicalPlan [datafusion] via GitHub
  • Re: [I] Add `DataFrame::map` utility .map function for DataFrame for modifying internal LogicalPlan [datafusion] via GitHub
  • Re: [I] Add `DataFrame::map` utility .map function for DataFrame for modifying internal LogicalPlan [datafusion] via GitHub
  • Re: [I] Add `DataFrame::map` utility .map function for DataFrame for modifying internal LogicalPlan [datafusion] via GitHub
• [PR] Feat: support array_except function [datafusion-comet] via GitHub
  • Re: [PR] Feat: support array_except function [datafusion-comet] via GitHub
  • Re: [PR] Feat: support array_except function [datafusion-comet] via GitHub
• [PR] doc: Add funnel.io to known users list [datafusion] via GitHub
  • Re: [PR] doc: Add funnel.io to known users list [datafusion] via GitHub
• [I] Support registering views [datafusion-python] via GitHub
• [PR] chore(deps): update getrandom requirement from 0.2.8 to 0.3.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): update getrandom requirement from 0.2.8 to 0.3.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): update getrandom requirement from 0.2.8 to 0.3.0 [datafusion] via GitHub
• [PR] chore(deps): bump aws-sdk-ssooidc from 1.51.0 to 1.57.1 in /datafusion-cli [datafusion] via GitHub
  • Re: [PR] chore(deps): bump aws-sdk-ssooidc from 1.51.0 to 1.57.1 in /datafusion-cli [datafusion] via GitHub
  • Re: [PR] chore(deps): bump aws-sdk-ssooidc from 1.51.0 to 1.57.1 in /datafusion-cli [datafusion] via GitHub
  • Re: [PR] chore(deps): bump aws-sdk-ssooidc from 1.51.0 to 1.57.1 in /datafusion-cli [datafusion] via GitHub
• Re: [I] Add support for lambda/higher order functions [datafusion] via GitHub
  • Re: [I] Add support for lambda/higher order functions [datafusion] via GitHub
  • Re: [I] Add support for lambda/higher order functions [datafusion] via GitHub
  • Re: [I] Add support for lambda/higher order functions [datafusion] via GitHub
• [PR] Expose sqllogictest Error && `convert_schema_to_types` [datafusion] via GitHub
  • Re: [PR] Expose sqllogictest Error && `convert_schema_to_types` [datafusion] via GitHub
  • Re: [PR] Expose sqllogictest Error && `convert_schema_to_types` [datafusion] via GitHub
• Re: [I] Error aliasing on double unnest on List[Struct] [datafusion] via GitHub
• Re: [I] Unnest struct expression can't be aliased [datafusion] via GitHub
• Re: [PR] Support custom field metadata in UDF [datafusion] via GitHub
• Re: [PR] [not improved] Filter coalesce [datafusion] via GitHub
• [PR] fix: LogicalPlan::get_parameter_types fails to return all placeholders [datafusion] via GitHub
  • Re: [PR] fix: LogicalPlan::get_parameter_types fails to return all placeholders [datafusion] via GitHub
• [I] This Week in Comet (Jan 26) [datafusion-comet] via GitHub
• [I] Ballista 44.0.0 Release [datafusion-ballista] via GitHub
• [PR] doc: update ballista client front page [datafusion-ballista] via GitHub
• [PR] Add relation to alias expr in schema display [datafusion] via GitHub
  • Re: [PR] Add relation to alias expr in schema display [datafusion] via GitHub
  • Re: [PR] Add relation to alias expr in schema display [datafusion] via GitHub
  • Re: [PR] Add relation to alias expr in schema display [datafusion] via GitHub
  • Re: [PR] Add relation to alias expr in schema display [datafusion] via GitHub
• [I] SchemaDisplay for Alias Expr does currently not take TableReference in account [datafusion] via GitHub
  • Re: [I] SchemaDisplay for Alias Expr does currently not take TableReference in account [datafusion] via GitHub
  • Re: [I] SchemaDisplay for Alias Expr does currently not take TableReference in account [datafusion] via GitHub
  • Re: [I] SchemaDisplay for Alias Expr does currently not take TableReference in account [datafusion] via GitHub
  • Re: [I] SchemaDisplay for Alias Expr does currently not take TableReference in account [datafusion] via GitHub
• [PR] test: attempt to analyze boundaries for select columns [datafusion] via GitHub
  • Re: [PR] test: attempt to analyze boundaries for select columns [datafusion] via GitHub
• [I] Allow for bounds analysis on selective columns in a schema [datafusion] via GitHub
  • Re: [I] Allow for bounds analysis on selective columns in a schema [datafusion] via GitHub
  • Re: [I] Allow for bounds analysis on selective columns in a schema [datafusion] via GitHub
• [I] Scale argument is not passed to DF `round` in `spark_round` [datafusion-comet] via GitHub
• [PR] fix: pass scale to DF round in spark_round [datafusion-comet] via GitHub
  • Re: [PR] fix: pass scale to DF round in spark_round [datafusion-comet] via GitHub
  • Re: [PR] fix: pass scale to DF round in spark_round [datafusion-comet] via GitHub
  • Re: [PR] fix: pass scale to DF round in spark_round [datafusion-comet] via GitHub
  • Re: [PR] fix: pass scale to DF round in spark_round [datafusion-comet] via GitHub
  • Re: [PR] fix: pass scale to DF round in spark_round [datafusion-comet] via GitHub
  • Re: [PR] fix: pass scale to DF round in spark_round [datafusion-comet] via GitHub
  • Re: [PR] fix: pass scale to DF round in spark_round [datafusion-comet] via GitHub
  • Re: [PR] fix: pass scale to DF round in spark_round [datafusion-comet] via GitHub
• Re: [I] Expand Test Coverage for ScalarUDF's [datafusion] via GitHub
  • Re: [I] Expand Test Coverage for ScalarUDF's [datafusion] via GitHub
• [PR] minor: add unit tests for monotonicity.rs [datafusion] via GitHub
  • Re: [PR] minor: add unit tests for monotonicity.rs [datafusion] via GitHub
  • Re: [PR] minor: add unit tests for monotonicity.rs [datafusion] via GitHub
  • Re: [PR] minor: add unit tests for monotonicity.rs [datafusion] via GitHub
  • Re: [PR] minor: add unit tests for monotonicity.rs [datafusion] via GitHub
  • Re: [PR] minor: add unit tests for monotonicity.rs [datafusion] via GitHub
  • Re: [PR] minor: add unit tests for monotonicity.rs [datafusion] via GitHub
  • Re: [PR] minor: add unit tests for monotonicity.rs [datafusion] via GitHub
  • Re: [PR] minor: add unit tests for monotonicity.rs [datafusion] via GitHub
• [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
  • Re: [PR] start refactoring process by setting up base + init [datafusion] via GitHub
• [PR] Only use `datafusion` crate in the examples [datafusion] via GitHub
  • Re: [PR] Export `datafusion_physical_optimizer`, only use `datafusion` crate in the examples [datafusion] via GitHub
• [PR] Minor: Update documentation about crate organization [datafusion] via GitHub
  • Re: [PR] Minor: Update documentation about crate organization [datafusion] via GitHub
  • Re: [PR] Minor: Update documentation about crate organization [datafusion] via GitHub
  • Re: [PR] Minor: Update documentation about crate organization [datafusion] via GitHub
  • Re: [PR] Minor: Update documentation about crate organization [datafusion] via GitHub
• Re: [I] [DISCUSSION] Add separate crate to cover spark builtin functions [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Add separate crate to cover spark builtin functions [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Add separate crate to cover spark builtin functions [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Add separate crate to cover spark builtin functions [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Add separate crate to cover spark builtin functions [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Add separate crate to cover spark builtin functions [datafusion] via GitHub

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