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• • Re: [PR] feat: Stage based fallback [datafusion-comet] via GitHub
  • Re: [PR] feat: Stage based fallback [datafusion-comet] via GitHub
  • Re: [PR] feat: Stage based fallback [datafusion-comet] via GitHub
  • Re: [PR] feat: Stage based fallback [datafusion-comet] via GitHub
  • Re: [PR] feat: Stage based fallback [datafusion-comet] via GitHub
  • Re: [PR] feat: Stage based fallback [datafusion-comet] via GitHub
  • Re: [PR] feat: Stage based fallback [datafusion-comet] via GitHub
  • Re: [PR] feat: Stage based fallback [datafusion-comet] via GitHub
  • Re: [PR] feat: Stage based fallback [datafusion-comet] via GitHub
• Re: [PR] Extract out date time parsing to a DateTimeParser trait [datafusion] via GitHub
  • Re: [PR] Extract out date time parsing to a DateTimeParser trait [datafusion] via GitHub
• [I] Revert transition-heavy stages to Spark row-based execution [datafusion-comet] via GitHub
• [PR] refactor: give parquet CDC options an explicit `enabled` flag [datafusion] via GitHub
  • Re: [PR] refactor: give parquet CDC options an explicit `enabled` flag [datafusion] via GitHub
  • Re: [PR] refactor: give parquet CDC options an explicit `enabled` flag [datafusion] via GitHub
  • Re: [PR] refactor: give parquet CDC options an explicit `enabled` flag [datafusion] via GitHub
  • Re: [PR] refactor: give parquet CDC options an explicit `enabled` flag [datafusion] via GitHub
  • Re: [PR] refactor: give parquet CDC options an explicit `enabled` flag [datafusion] via GitHub
  • Re: [PR] refactor: give parquet CDC options an explicit `enabled` flag [datafusion] via GitHub
• Re: [PR] Track "RSS" vs MemoryPool suring SLTs to prevent OOMs [datafusion] via GitHub
  • Re: [PR] Track "RSS" vs MemoryPool suring SLTs to prevent OOMs [datafusion] via GitHub
  • Re: [PR] Track "RSS" vs MemoryPool suring SLTs to prevent OOMs [datafusion] via GitHub
  • Re: [PR] Track "RSS" vs MemoryPool suring SLTs to prevent OOMs [datafusion] via GitHub
  • Re: [PR] Track "RSS" vs MemoryPool suring SLTs to prevent OOMs [datafusion] via GitHub
  • Re: [PR] Track "RSS" vs MemoryPool suring SLTs to prevent OOMs [datafusion] via GitHub
• [I] CometProject and CometHashAggregate do not perform cross-sibling subexpression elimination over ScalaUDF [datafusion-comet] via GitHub
• Re: [PR] Support null aware hash mark-joins [datafusion] via GitHub
• [I] Native divide-by-zero in a dispatched ScalaUDF surfaces CometNativeException instead of SparkArithmeticException [datafusion-comet] via GitHub
  • Re: [I] Native divide-by-zero in a dispatched ScalaUDF surfaces CometNativeException instead of SparkArithmeticException [datafusion-comet] via GitHub
• Re: [PR] feat: support binary and string types for concat UDFs [datafusion] via GitHub
  • Re: [PR] feat: support binary and string types for concat UDFs [datafusion] via GitHub
  • Re: [PR] feat: support binary and string types for concat UDFs [datafusion] via GitHub
  • Re: [PR] feat: support binary and string types for concat UDFs [datafusion] via GitHub
• Re: [I] Support 2-argument ceil(decimal, scale) for Spark [datafusion] via GitHub
• Re: [PR] feat: enable JVM Scala UDF codegen dispatch by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable JVM Scala UDF codegen dispatch by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable JVM Scala UDF codegen dispatch by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable JVM Scala UDF codegen dispatch by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable JVM Scala UDF codegen dispatch by default [datafusion-comet] via GitHub
• Re: [PR] ci: gate long-running jobs behind ubuntu-slim jobs [datafusion-comet] via GitHub
• Re: [PR] docs: comet docs design overhaul- phase 1 [datafusion-comet] via GitHub
  • Re: [PR] docs: comet docs design overhaul- phase 1 [datafusion-comet] via GitHub
  • Re: [PR] docs: comet docs design overhaul- phase 1 [datafusion-comet] via GitHub
• Re: [PR] feat: add GetTimestamp support via codegen dispatcher [datafusion-comet] via GitHub
• [PR] feat: improve pythonic interface on date/time functions [datafusion-python] via GitHub
• Re: [I] Add functions.transform [datafusion-python] via GitHub
• Re: [I] Improve usability of regexp and other functions [datafusion-python] via GitHub
• Re: [I] Make it easier for agents to generate datafusion-python code [datafusion-python] via GitHub
• Re: [PR] chore(audit): audit hash expressions across Spark 3.4.3, 3.5.8, 4.0.1, 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] chore(audit): audit hash expressions across Spark 3.4.3, 3.5.8, 4.0.1, 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] chore(audit): audit hash expressions across Spark 3.4.3, 3.5.8, 4.0.1, 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] chore(audit): audit hash expressions across Spark 3.4.3, 3.5.8, 4.0.1, 4.1.1 [datafusion-comet] via GitHub
• Re: [PR] feat: expose lambda and higher-order array functions [datafusion-python] via GitHub
  • Re: [PR] feat: expose lambda and higher-order array functions [datafusion-python] via GitHub
• Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
  • Re: [PR] Optimize away unused `UNNEST` under duplicate-insensitive aggregates [datafusion] via GitHub
• [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 0.6.1 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump astral-tokio-tar from 0.6.0 to 0.6.1 [datafusion-sandbox] via GitHub
• Re: [PR] fix(physical-plan): make HashJoinExec dynamic filter pushdown idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): make HashJoinExec dynamic filter pushdown idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): make HashJoinExec dynamic filter pushdown idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): make HashJoinExec dynamic filter pushdown idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): make HashJoinExec dynamic filter pushdown idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): make HashJoinExec dynamic filter pushdown idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): make HashJoinExec dynamic filter pushdown idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): make HashJoinExec dynamic filter pushdown idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): make HashJoinExec dynamic filter pushdown idempotent [datafusion] via GitHub
• Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
• Re: [PR] perf(optimizer): EliminateCrossJoin fast-path for join-free plans [datafusion] via GitHub
  • Re: [PR] perf(optimizer): EliminateCrossJoin fast-path for join-free plans [datafusion] via GitHub
  • Re: [PR] perf(optimizer): EliminateCrossJoin fast-path for join-free plans [datafusion] via GitHub
  • Re: [PR] perf(optimizer): EliminateCrossJoin fast-path for join-free plans [datafusion] via GitHub
  • Re: [PR] perf(optimizer): EliminateCrossJoin fast-path for join-free plans [datafusion] via GitHub
  • Re: [PR] perf(optimizer): EliminateCrossJoin fast-path for join-free plans [datafusion] via GitHub
  • Re: [PR] perf(optimizer): EliminateCrossJoin fast-path for join-free plans [datafusion] via GitHub
  • Re: [PR] perf(optimizer): EliminateCrossJoin fast-path for join-free plans [datafusion] via GitHub
• Re: [PR] Add range partitioning sqllogictest fixture [datafusion] via GitHub
  • Re: [PR] Add range partitioning sqllogictest fixture [datafusion] via GitHub
• Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
  • Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
  • Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
  • Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
• [PR] chore(deps): bump astral-tokio-tar from 0.6.1 to 0.6.2 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump astral-tokio-tar from 0.6.1 to 0.6.2 [datafusion-ballista] via GitHub
• Re: [PR] chore: fix two comment typos [datafusion] via GitHub
  • Re: [PR] chore: fix two comment typos [datafusion] via GitHub
• Re: [PR] fix(physical-optimizer): make OutputRequirements idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-optimizer): make OutputRequirements idempotent [datafusion] via GitHub
  • Re: [PR] fix(physical-optimizer): make OutputRequirements idempotent [datafusion] via GitHub
• Re: [PR] feat: create free-threaded python wheels [datafusion-python] via GitHub
• Re: [I] Add support for free threaded python [datafusion-python] via GitHub
• Re: [I] [Spark] SparkWidthBucket return_type is Int32, should be Int64 to match Spark [datafusion] via GitHub
• Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
• Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
• Re: [I] DISTINCT ORDER BY NULLS FIRST LIMIT returns the wrong top row [datafusion] via GitHub
• Re: [PR] Fix TopK DISTINCT aggregation preserving NULLs [datafusion] via GitHub
• Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
• Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
• Re: [PR] Add partitioning compatibility API [datafusion] via GitHub
  • Re: [PR] Add partitioning compatibility API [datafusion] via GitHub
  • Re: [PR] Add partitioning compatibility API [datafusion] via GitHub
  • Re: [PR] Add partitioning compatibility API [datafusion] via GitHub
  • Re: [PR] Add partitioning compatibility API [datafusion] via GitHub
• [PR] [branch-54] fix: clear handled OFFSET before child recursion in LimitPushdown (#22525) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: clear handled OFFSET before child recursion in LimitPushdown (#22525) [datafusion] via GitHub
  • Re: [PR] [branch-54] fix: clear handled OFFSET before child recursion in LimitPushdown (#22525) [datafusion] via GitHub
• Re: [I] perf(optimizer): EliminateCrossJoin walks the full plan tree even when there are no joins [datafusion] via GitHub
  • Re: [I] perf(optimizer): EliminateCrossJoin walks the full plan tree even when there are no joins [datafusion] via GitHub
• Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
  • Re: [I] PREPARE placeholder type coercion fails when plain queries work fine [datafusion] via GitHub
• Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
• Re: [I] Repeating the same ordered LIMIT over a subquery changes the result [datafusion] via GitHub
  • Re: [I] Repeating the same ordered LIMIT over a subquery changes the result [datafusion] via GitHub
• Re: [I] Sort key over get_field(named_struct(...), f) is evaluated against the materialized struct instead of the base column [datafusion] via GitHub
  • Re: [I] Sort key over get_field(named_struct(...), f) is evaluated against the materialized struct instead of the base column [datafusion] via GitHub
• [PR] fix(substrait): plan nested projected window expressions [datafusion] via GitHub
  • Re: [PR] fix(substrait): plan nested projected window expressions [datafusion] via GitHub
• Re: [I] Benchmarks should run with a configured memory limit [datafusion] via GitHub
  • Re: [I] Benchmarks should run with a configured memory limit [datafusion] via GitHub
  • Re: [I] Benchmarks should run with a configured memory limit [datafusion] via GitHub
  • Re: [I] Benchmarks should run with a configured memory limit [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
  • 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
  • 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
  • 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
  • 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] Substrait consumer does not plan nested window expressions in projections [datafusion] via GitHub
  • Re: [I] Substrait consumer does not plan nested window expressions in projections [datafusion] via GitHub
  • Re: [I] Substrait consumer does not plan nested window expressions in projections [datafusion] via GitHub
  • Re: [I] Substrait consumer does not plan nested window expressions in projections [datafusion] via GitHub

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