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• • Re: [PR] Enable more lints [datafusion] via GitHub
  • Re: [PR] Enable more lints [datafusion] via GitHub
• [I] Bug: ScalarSubqueryToJoin fails with "No field named __always_true" when CTE inside correlated scalar subquery [datafusion] via GitHub
  • Re: [I] Bug: ScalarSubqueryToJoin fails with "No field named __always_true" when CTE inside correlated scalar subquery [datafusion] via GitHub
• Re: [PR] fix: Fix nullability of logical `InSubquery` expression [datafusion] via GitHub
• Re: [I] Add User Persona Documentation [datafusion] via GitHub
  • Re: [I] Add User Persona Documentation [datafusion] via GitHub
• Re: [I] Logical `InSubquery` only take the expression nullability into account [datafusion] via GitHub
• Re: [PR] Add per-aggregate argument evaluation metrics for grouped hash aggregation [datafusion] via GitHub
  • Re: [PR] Add per-aggregate argument evaluation metrics for grouped hash aggregation [datafusion] via GitHub
  • Re: [PR] Add per-aggregate argument evaluation metrics for grouped hash aggregation [datafusion] via GitHub
  • Re: [PR] Add per-aggregate argument evaluation metrics for grouped hash aggregation [datafusion] via GitHub
  • Re: [PR] Add per-aggregate argument evaluation metrics for grouped hash aggregation [datafusion] via GitHub
• Re: [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
  • Re: [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
  • Re: [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
• Re: [I] sqllogictest -- complete to generate substring instead of all errors [datafusion] via GitHub
  • Re: [I] sqllogictest -- complete to generate substring instead of all errors [datafusion] via GitHub
  • Re: [I] sqllogictest -- complete to generate substring instead of all errors [datafusion] via GitHub
• Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
  • Re: [PR] refactor(physical-plan): Simplify `ExecutionPlan` API with `replace_children` [datafusion] via GitHub
• Re: [PR] Databricks: support INSERT BY NAME [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Databricks: support INSERT BY NAME [datafusion-sqlparser-rs] via GitHub
• Re: [I] Ballista 54.1.0 Release [datafusion-ballista] via GitHub
  • Re: [I] Ballista 54.1.0 Release [datafusion-ballista] via GitHub
  • Re: [I] Ballista 54.1.0 Release [datafusion-ballista] via GitHub
  • Re: [I] Ballista 54.1.0 Release [datafusion-ballista] via GitHub
• Re: [PR] feat: add ASOF join physical operator [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join physical operator [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join physical operator [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join physical operator [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join physical operator [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join physical operator [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join physical operator [datafusion] via GitHub
  • Re: [PR] feat: add ASOF join physical operator [datafusion] via GitHub
• [PR] chore: add runendencoded & listview types to dfschema equality methods [datafusion] via GitHub
  • Re: [PR] chore: add runendencoded & listview types to dfschema equality methods [datafusion] via GitHub
  • Re: [PR] chore: add runendencoded & listview types to dfschema equality methods [datafusion] via GitHub
  • Re: [PR] chore: add runendencoded & listview types to dfschema equality methods [datafusion] via GitHub
• Re: [PR] fix(substrait): fix regressed edge case in renaming inner struct fields [datafusion] via GitHub
• [I] Should `DFSchema::datatype_is_logically_equal` be extended with more logical equality? [datafusion] via GitHub
• Re: [PR] fix: reduce peak memory usage when round robin tiebreaker is disabled [datafusion] via GitHub
  • Re: [PR] fix: reduce peak memory usage when round robin tiebreaker is disabled [datafusion] via GitHub
• Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
  • Re: [PR] Perf: Short circuit expensive comparissions in GroupColumn [datafusion] via GitHub
• Re: [PR] fix: preserve total_byte_size in calculate_total_byte_size when num_r… [datafusion] via GitHub
  • Re: [PR] fix: preserve total_byte_size in calculate_total_byte_size when num_r… [datafusion] via GitHub
  • Re: [PR] fix: preserve total_byte_size in calculate_total_byte_size when num_r… [datafusion] via GitHub
• [I] Coercible signature: how to specify some inputs should have exact same type? [datafusion] via GitHub
• Re: [PR] refactor: use arrow make_comparator for nested structural equality in arrays_overlap and array_position [2/2] [datafusion-comet] via GitHub
  • Re: [PR] refactor: use arrow make_comparator for nested structural equality in arrays_overlap and array_position [2/2] [datafusion-comet] via GitHub
• [PR] Checked arithmetic [datafusion-comet] via GitHub
  • Re: [PR] refactor: delegate ANSI integer arithmetic to arrow checked kernels [datafusion-comet] via GitHub
  • Re: [PR] refactor: delegate ANSI integer arithmetic to arrow checked kernels [datafusion-comet] via GitHub
  • Re: [PR] refactor: delegate ANSI integer arithmetic to arrow checked kernels [datafusion-comet] via GitHub
  • Re: [PR] refactor: delegate ANSI integer arithmetic to arrow checked kernels [datafusion-comet] via GitHub
  • Re: [PR] refactor: delegate ANSI integer arithmetic to arrow checked kernels [datafusion-comet] via GitHub
• Re: [PR] Add xmlnamespace support mssql [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add xmlnamespace support mssql [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add xmlnamespace support mssql [datafusion-sqlparser-rs] via GitHub
• Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.0.0` (Jul / Aug 2026) [datafusion] via GitHub
• [I] `Coercion::new_implicit` is confusing when desired type is `TypeSignatureClass::Native` [datafusion] via GitHub
  • Re: [I] `Coercion::new_implicit` is confusing when desired type is `TypeSignatureClass::Native` [datafusion] via GitHub
• [PR] chore: fix some scalar function docs [datafusion] via GitHub
  • Re: [PR] chore: fix some scalar function docs [datafusion] via GitHub
  • Re: [PR] chore: fix some scalar function docs [datafusion] via GitHub
  • Re: [PR] chore: fix some scalar function docs [datafusion] via GitHub
  • Re: [PR] chore: fix some scalar function docs [datafusion] via GitHub
  • Re: [PR] chore: fix some scalar function docs [datafusion] via GitHub
  • Re: [PR] chore: fix some scalar function docs [datafusion] via GitHub
  • Re: [PR] chore: fix some scalar function docs [datafusion] via GitHub
• [I] A way to specify constant/scalar arguments in UDFs [datafusion] via GitHub
  • Re: [I] A way to specify constant/scalar arguments in UDFs [datafusion] via GitHub
  • Re: [I] A way to specify constant/scalar arguments in UDFs [datafusion] via GitHub
  • Re: [I] A way to specify constant/scalar arguments in UDFs [datafusion] via GitHub
• [I] `array_sort` doesnt respect array inputs for sort order/nulls first [datafusion] via GitHub
  • Re: [I] `array_sort` doesnt respect array inputs for sort order/nulls first [datafusion] via GitHub
• [D] Relify: Parquet-native vector indexes with DataFusion [datafusion] via GitHub
  • Re: [D] Relify: Parquet-native vector indexes with DataFusion [datafusion] via GitHub
• [PR] feat: union nested Parquet leaves across projection accesses [datafusion] via GitHub
  • Re: [PR] feat: union nested Parquet leaves across projection accesses [datafusion] via GitHub
  • Re: [PR] feat: union nested Parquet leaves across projection accesses [datafusion] via GitHub
• [PR] chore(ci): bump the github-codeql group with 2 updates [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump the github-codeql group with 2 updates [datafusion-ballista] via GitHub
  • [PR] chore(ci): bump the github-codeql group with 2 updates [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump the github-codeql group with 2 updates [datafusion-ballista] via GitHub
• [PR] chore(deps): bump pyo3-build-config from 0.29.0 to 0.29.1 in /python [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump pyo3-build-config from 0.29.0 to 0.29.1 in /python [datafusion-ballista] via GitHub
• [PR] chore(ci): bump astral-sh/setup-uv from 8.2.0 to 9.0.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump astral-sh/setup-uv from 8.2.0 to 9.0.0 [datafusion-ballista] via GitHub
• Re: [I] doc: explain the parquet cdc feature from a user perspective [datafusion] via GitHub
  • Re: [I] doc: explain the parquet cdc feature from a user perspective [datafusion] via GitHub
  • Re: [I] doc: explain the parquet cdc feature from a user perspective [datafusion] via GitHub
• Re: [PR] chore: Update to latest main on upstream DataFusion [datafusion-python] via GitHub
  • Re: [PR] chore: Update to latest main on upstream DataFusion [datafusion-python] via GitHub
  • Re: [PR] chore: Update to latest main on upstream DataFusion [datafusion-python] via GitHub
• [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
  • Re: [PR] refactor(pruning): deprecate PruningPredicate::try_new [datafusion] via GitHub
• Re: [PR] refactor join-key equality filtering [datafusion] via GitHub
  • Re: [PR] refactor join-key equality filtering [datafusion] via GitHub
• Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
  • Re: [PR] feat(functions-aggregate): make approx_distinct HLL precision configurable [datafusion] via GitHub
• Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
  • Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion] via GitHub
• Re: [I] Expose PruningPredicate's IN-list rewrite size limit as a config option [datafusion] via GitHub
• Re: [PR] chore(deps): bump astral-tokio-tar from 0.6.0 to 0.6.2 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump astral-tokio-tar from 0.6.0 to 0.6.2 [datafusion-sandbox] via GitHub

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