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• • Re: [PR] fix: normalize float operands in the native comparison builder [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize float operands in the native comparison builder [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize float operands in the native comparison builder [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize float operands in the native comparison builder [datafusion-comet] via GitHub
  • Re: [PR] fix: normalize float operands in the native comparison builder [datafusion-comet] via GitHub
• Re: [PR] chore: Hide test-only internal public APIs [datafusion] via GitHub
  • Re: [PR] chore: Hide test-only internal public APIs [datafusion] via GitHub
  • Re: [PR] chore: Hide test-only internal public APIs [datafusion] via GitHub
  • Re: [PR] chore: Hide test-only internal public APIs [datafusion] via GitHub
  • Re: [PR] chore: Hide test-only internal public APIs [datafusion] via GitHub
• Re: [PR] test: cover sequence's per-batch element limit and the batch size remedy [datafusion-comet] via GitHub
• [PR] fix: reserve initial table memory in aggregate streams [datafusion] via GitHub
  • Re: [PR] fix: reserve initial table memory in aggregate streams [datafusion] via GitHub
  • Re: [PR] fix: reserve initial table memory in aggregate streams [datafusion] via GitHub
  • Re: [PR] fix: reserve initial table memory in aggregate streams [datafusion] via GitHub
  • Re: [PR] fix: reserve initial table memory in aggregate streams [datafusion] via GitHub
• [PR] fix: match Spark's whitespace trimming in casts from string to timestamp and timestamp_ntz [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark's whitespace trimming in casts from string to timestamp and timestamp_ntz [datafusion-comet] via GitHub
  • Re: [PR] fix: match Spark's whitespace trimming in casts from string to timestamp and timestamp_ntz [datafusion-comet] via GitHub
• Re: [PR] fix: Substrait serialization mishandles sliced map literals [datafusion] via GitHub
  • Re: [PR] fix: Substrait serialization mishandles sliced map literals [datafusion] via GitHub
• [PR] fix: decorrelate LATERAL subqueries when a derived-table alias renames the inner table [datafusion] via GitHub
  • Re: [PR] fix: canonicalize NaN in xxhash64 to match Spark behavior (fixes #25913) [datafusion] via GitHub
  • Re: [PR] fix: canonicalize NaN in xxhash64 to match Spark behavior (fixes #25913) [datafusion] via GitHub
• Re: [PR] chore(deps): bump DataFusion to 55.0.0 [datafusion-java] via GitHub
  • Re: [PR] chore(deps): bump DataFusion to 55.0.0 [datafusion-java] via GitHub
• Re: [PR] Generic: Parse IN lists that start with a parenthesized subquery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Generic: Parse IN lists that start with a parenthesized subquery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Generic: Parse IN lists that start with a parenthesized subquery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Generic: Parse IN lists that start with a parenthesized subquery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Generic: Parse IN lists that start with a parenthesized subquery [datafusion-sqlparser-rs] via GitHub
• Re: [PR] fix: keep unconverted DPP filters in a scan's canonical form [datafusion-comet] via GitHub
  • Re: [PR] fix: keep unconverted DPP filters in a scan's canonical form [datafusion-comet] via GitHub
  • Re: [PR] fix: keep unconverted DPP filters in a scan's canonical form [datafusion-comet] via GitHub
  • Re: [PR] fix: keep unconverted DPP filters in a scan's canonical form [datafusion-comet] via GitHub
  • Re: [PR] fix: keep unconverted DPP filters in a scan's canonical form [datafusion-comet] via GitHub
• Re: [PR] fix: load the Iceberg storage scheme lists from the native factory [datafusion-comet] via GitHub
• Re: [PR] fix: do not resolve DPP subqueries when AQE reads a native scan's partitioning [datafusion-comet] via GitHub
  • Re: [PR] fix: do not resolve DPP subqueries when AQE reads a native scan's partitioning [datafusion-comet] via GitHub
  • Re: [PR] fix: do not resolve DPP subqueries when AQE reads a native scan's partitioning [datafusion-comet] via GitHub
• Re: [PR] fix(functions): prevent invalid sort omission in log monotonicity when base <= 1 [datafusion] via GitHub
  • Re: [PR] fix(functions): prevent invalid sort omission in log monotonicity when base <= 1 [datafusion] via GitHub
  • Re: [PR] fix(functions): prevent invalid sort omission in log monotonicity when base <= 1 [datafusion] via GitHub
  • Re: [PR] fix(functions): prevent invalid sort omission in log monotonicity when base <= 1 [datafusion] via GitHub
  • Re: [PR] fix(functions): prevent invalid sort omission in log monotonicity when base <= 1 [datafusion] via GitHub
  • Re: [PR] fix(functions): prevent invalid sort omission in log monotonicity when base <= 1 [datafusion] via GitHub
  • Re: [PR] fix(functions): prevent invalid sort omission in log monotonicity when base <= 1 [datafusion] via GitHub
• Re: [PR] fix: dispatch map lookups with normalized keys and nondeterministic null-guarded children [datafusion-comet] via GitHub
  • Re: [PR] fix: dispatch map lookups with normalized keys and nondeterministic null-guarded children [datafusion-comet] via GitHub
• [PR] chore(docs): Fix a typo (us -> is) [datafusion] via GitHub
  • Re: [PR] chore(docs): Fix a typo (us -> is) [datafusion] via GitHub
  • Re: [PR] chore(docs): Fix a typo (us -> is) [datafusion] via GitHub
• Re: [I] Native Iceberg write panics or writes a NULL partition value for dates and timestamps beyond year 262143 [datafusion-comet] via GitHub
• Re: [I] Session timezone IDs such as GMT+8, Z and PST make native timestamp expressions fail [datafusion-comet] via GitHub
• Re: [I] Extended explain operator stats miscount reuse wrappers and CometSubqueryBroadcast [datafusion-comet] via GitHub
• [PR] fix: fall back to Spark for Parquet field ids on nested fields [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for Parquet field ids on nested fields [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for Parquet field ids on nested fields [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for Parquet field ids on nested fields [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for Parquet field ids on nested fields [datafusion-comet] via GitHub
• Re: [PR] feat: allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
  • Re: [PR] feat: allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
  • Re: [PR] feat: allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
  • Re: [PR] feat: allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
• Re: [PR] fix: normalize session timezone IDs before passing them to native code [datafusion-comet] via GitHub
• Re: [PR] fix: route nested DATE to numeric casts in structs and maps through the codegen dispatcher [datafusion-comet] via GitHub
• [I] Decorrelate a window function below a correlated equality filter by extending `PARTITION BY` [datafusion] via GitHub
• Re: [I] Release DataFusion `56.0.0` (Oct/Nov 2026) [datafusion] via GitHub
• Re: [I] Native memory usage log underestimates the executor overhead for PySpark and SparkR on Kubernetes, and warns on standalone clusters [datafusion-comet] via GitHub
• [I] Report parquet decompression time as a scan metric, split by dictionary and data pages [datafusion] via GitHub
• [PR] [branch-55] Preserve field metadata when coercing INT96 timestamps (#24790) [datafusion] via GitHub
  • Re: [PR] [branch-55] Preserve field metadata when coercing INT96 timestamps (#24790) [datafusion] via GitHub
  • Re: [PR] [branch-55] Preserve field metadata when coercing INT96 timestamps (#24790) [datafusion] via GitHub
  • Re: [PR] [branch-55] Preserve field metadata when coercing INT96 timestamps (#24790) [datafusion] via GitHub
  • Re: [PR] [branch-55] Preserve field metadata when coercing INT96 timestamps (#24790) [datafusion] via GitHub
• [PR] feat: support whole-value Variant scan pushdown [datafusion-comet] via GitHub
• [I] Broadcast/hash join fallback reasons are lost from the AQE-final plan [datafusion-comet] via GitHub
• [I] Add explicit phase boundaries to optimizer rules for simplicity and safety [datafusion] via GitHub
• [PR] fix: gate unsupported Iceberg S3 write settings [datafusion-comet] via GitHub
  • Re: [PR] fix: gate unsupported Iceberg S3 write settings [datafusion-comet] via GitHub
  • Re: [PR] fix: gate unsupported Iceberg S3 write settings [datafusion-comet] via GitHub
  • Re: [PR] fix: gate unsupported Iceberg S3 write settings [datafusion-comet] via GitHub
• [I] Recursive CTE silently casts recursive term to the static term's type, producing wrong results or a non-terminating query [datafusion] via GitHub
  • Re: [I] Recursive CTE silently casts recursive term to the static term's type, producing wrong results or a non-terminating query [datafusion] via GitHub
• Re: [PR] fix: key each scan's planning data by its plan node in a native block [datafusion-comet] via GitHub
• [PR] fix: preserve functional dependencies across unnest [datafusion] via GitHub
  • Re: [PR] fix: preserve functional dependencies across unnest [datafusion] via GitHub
  • Re: [PR] fix: preserve functional dependencies across unnest [datafusion] via GitHub
• Re: [I] Storage-partitioned self-join of an Iceberg table returns duplicate rows with partially clustered distribution [datafusion-comet] via GitHub
• Re: [PR] perf: reuse Variant reconstruction buffers [datafusion-comet] via GitHub
  • Re: [PR] perf: reuse Variant reconstruction buffers [datafusion-comet] via GitHub
• [PR] fix: free and account for native shuffle spill metadata [datafusion-comet] via GitHub
  • Re: [PR] fix: free and account for native shuffle spill metadata [datafusion-comet] via GitHub
  • Re: [PR] fix: free and account for native shuffle spill metadata [datafusion-comet] via GitHub
• Re: [PR] chore(`PartialReduceHashAggregateStream`): convert to async generators and cleanup [datafusion] via GitHub
  • Re: [PR] chore(`PartialReduceHashAggregateStream`): convert to async generators and cleanup [datafusion] via GitHub
  • Re: [PR] chore(`PartialReduceHashAggregateStream`): convert to async generators and cleanup [datafusion] via GitHub
  • Re: [PR] chore(`PartialReduceHashAggregateStream`): convert to async generators and cleanup [datafusion] via GitHub
• Re: [PR] fix: fall back from the native CSV scan for timestamps outside UTC [datafusion-comet] via GitHub
• Re: [I] Native CSV V2 scan parses timestamps as UTC and ignores the session timezone [datafusion-comet] via GitHub
• Re: [PR] feat(physical-plan): expose finalized Accumulator state on BoundedWindowAggExec [datafusion] via GitHub
• Re: [PR] feat: memoize for FFI_PartitionEvaluator [datafusion] via GitHub
• Re: [PR] Return provider extensions directly from the statistics walk [datafusion] via GitHub
  • Re: [PR] Return provider extensions directly from the statistics walk [datafusion] via GitHub
  • Re: [PR] Return provider extensions directly from the statistics walk [datafusion] via GitHub
• Re: [PR] fix: arrays_zip with duplicate field names falls back to Spark [datafusion-comet] via GitHub
  • Re: [PR] fix: arrays_zip with duplicate field names falls back to Spark [datafusion-comet] via GitHub
  • Re: [PR] fix: arrays_zip with duplicate field names falls back to Spark [datafusion-comet] via GitHub
• [PR] fix: preserve grouping set member names during type coercion [datafusion] via GitHub
  • Re: [PR] fix: preserve grouping set member names during type coercion [datafusion] via GitHub
• [I] Group by rollup/cube/etc.. fails with new type_coercion [datafusion] via GitHub
• [I] CatalogProvider Limitations: Query Scoped Resolution [datafusion-iceberg] via GitHub
• Re: [PR] perf: copy off-heap strings directly into Arrow [datafusion-comet] via GitHub
• Re: [I] Avoid temporary heap allocation when copying off-heap UTF8String into Arrow [datafusion-comet] via GitHub
• [PR] fix: remove nested planner placeholders after recursive conversion [datafusion-comet] via GitHub
  • Re: [PR] fix: remove nested planner placeholders after recursive conversion [datafusion-comet] via GitHub
  • Re: [PR] fix: remove nested planner placeholders after recursive conversion [datafusion-comet] via GitHub
  • Re: [PR] fix: remove nested planner placeholders after recursive conversion [datafusion-comet] via GitHub
  • Re: [PR] fix: remove nested planner placeholders after recursive conversion [datafusion-comet] via GitHub
• [I] Nested planner placeholders survive cleanup after aggregate fallback [datafusion-comet] via GitHub
  • Re: [I] Nested planner placeholders survive cleanup after aggregate fallback [datafusion-comet] via GitHub
• [PR] perf: retain batched build storage for large hash joins [datafusion] via GitHub
  • Re: [PR] perf: retain batched build storage for large hash joins [datafusion] via GitHub
• [PR] fix: avoid divide-by-zero in `avg` for negative-scale decimals [datafusion] via GitHub
  • Re: [PR] fix: avoid divide-by-zero in `avg` for negative-scale decimals [datafusion] via GitHub
• Re: [PR] fix: clamp cosine_distance to enforce metric non-negativity and boundedness [0.0, 2.0] [datafusion] via GitHub
  • Re: [PR] fix: clamp cosine_distance to enforce metric non-negativity and boundedness [0.0, 2.0] [datafusion] via GitHub
  • Re: [PR] fix: clamp cosine_distance to enforce metric non-negativity and boundedness [0.0, 2.0] [datafusion] via GitHub
• Re: [PR] feat: log drift between MemoryPool reservations and allocated bytes in SLT [datafusion] via GitHub
• Re: [PR] feat: support multi-column NOT IN subqueries with null-aware joins [datafusion] via GitHub
  • Re: [PR] feat: support multi-column NOT IN subqueries with null-aware joins [datafusion] via GitHub
  • Re: [PR] feat: support multi-column NOT IN subqueries with null-aware joins [datafusion] via GitHub
  • Re: [PR] feat: support multi-column NOT IN subqueries with null-aware joins [datafusion] via GitHub
  • Re: [PR] feat: support multi-column NOT IN subqueries with null-aware joins [datafusion] via GitHub
  • Re: [PR] feat: support multi-column NOT IN subqueries with null-aware joins [datafusion] via GitHub
  • Re: [PR] feat: support multi-column NOT IN subqueries with null-aware joins [datafusion] via GitHub
• [PR] feat: carry completed join filters across Union inputs [datafusion-comet] via GitHub
  • Re: [PR] feat: carry completed join filters across Union inputs [datafusion-comet] via GitHub
  • Re: [PR] feat: carry completed join filters across Union inputs [datafusion-comet] via GitHub
• [PR] fix: [branch-1.0] format NativeMemoryConsumer id in toString (#5398) [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-1.0] format NativeMemoryConsumer id in toString (#5398) [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-1.0] format NativeMemoryConsumer id in toString (#5398) [datafusion-comet] via GitHub
• [PR] refactor: separate JNI-free core logic and error classification at the native boundary [datafusion-comet] via GitHub
  • Re: [PR] refactor: separate JNI-free core logic and error classification at the native boundary [datafusion-comet] via GitHub
  • Re: [PR] refactor: separate JNI-free core logic and error classification at the native boundary [datafusion-comet] via GitHub
• [I] Separate JNI-free core logic and error classification from native JNI entry points [datafusion-comet] via GitHub
• Re: [PR] chore(deps): align with current iceberg-rust revision [datafusion-iceberg] via GitHub
  • Re: [PR] chore(deps): align with current iceberg-rust revision [datafusion-iceberg] via GitHub
• [PR] feat: filter decoded probe batches before intermediate joins [datafusion-comet] via GitHub
  • Re: [PR] feat: filter decoded probe batches before intermediate joins [datafusion-comet] via GitHub
  • Re: [PR] feat: filter decoded probe batches before intermediate joins [datafusion-comet] via GitHub
• [PR] feat: Extend adaptive partial aggregation to more aggregate functions [datafusion-comet] via GitHub
  • Re: [PR] feat: Extend adaptive partial aggregation to more aggregate functions [datafusion-comet] via GitHub
• Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
• Re: [I] Projected IN subqueries plan two extra nested-loop mark joins per subquery and become quadratic [datafusion] via GitHub
• [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
  • Re: [PR] feat: error when the client and scheduler have different major versions [datafusion-ballista] via GitHub
• [PR] feat: opt in to join filter pushdown through deterministic residuals [datafusion-comet] via GitHub
  • Re: [PR] feat: opt in to join filter pushdown through deterministic residuals [datafusion-comet] via GitHub
• [I] [EPIC] Distributed execution with Ballista [datafusion-iceberg] via GitHub
  • Re: [I] [EPIC] Distributed Execution for Reads/Writes [datafusion-iceberg] via GitHub
  • Re: [I] [EPIC] Distributed Execution for Reads/Writes [datafusion-iceberg] via GitHub
  • Re: [I] [EPIC] Distributed Execution for Reads/Writes [datafusion-iceberg] via GitHub
  • Re: [I] [EPIC] Distributed Execution for Reads/Writes [datafusion-iceberg] via GitHub
  • Re: [I] [EPIC] Distributed Execution for Reads/Writes [datafusion-iceberg] via GitHub
• [PR] Information schema extension [datafusion] via GitHub
  • Re: [PR] Information schema extension [datafusion] via GitHub
  • Re: [PR] Information schema extension [datafusion] via GitHub
  • Re: [PR] Information schema extension [datafusion] via GitHub
• [I] Observed metrics (Dataset.observe) on a cached DataFrame are lost with Comet's native cache scan [datafusion-comet] via GitHub
  • Re: [I] Observed metrics (Dataset.observe) on a cached DataFrame are lost with Comet's native cache scan [datafusion-comet] via GitHub
• Re: [I] Match Spark ordering and rank semantics for floating values nested in arrays and structs [datafusion-comet] via GitHub
  • Re: [I] Match Spark ordering and rank semantics for floating values nested in arrays and structs [datafusion-comet] via GitHub
  • Re: [I] Match Spark ordering and rank semantics for floating values nested in arrays and structs [datafusion-comet] via GitHub
• [I] Error when the Python client and the cluster have different major versions [datafusion-ballista] via GitHub
  • Re: [I] Error when the Python client and the cluster have different major versions [datafusion-ballista] via GitHub
• Re: [PR] feat(parquet): eager pruning during planning to refine scan statistics [datafusion] via GitHub
• Re: [I] Possible memory leak in error cases in JVM-Rust (and vice versa) transition [datafusion-comet] via GitHub
• [PR] fix: bump DataFusion to 54.1.0 and adapt to RecursiveQuery API change (#1645) [datafusion-python] via GitHub
  • Re: [PR] fix: bump DataFusion to 54.1.0 and adapt to RecursiveQuery API change (#1645) [datafusion-python] via GitHub
• [PR] chore(release): release the Python client separately from the Rust crates [datafusion-ballista] via GitHub
  • Re: [PR] chore(release): release the Python client separately from the Rust crates [datafusion-ballista] via GitHub
• Re: [I] Build fails against DataFusion 54.1.0 due to new `schema` field on `RecursiveQuery` [datafusion-python] via GitHub
• [PR] perf: specialize scattered Boolean shuffle gathers [datafusion-comet] via GitHub
  • Re: [PR] perf: specialize scattered Boolean shuffle gathers [datafusion-comet] via GitHub
  • Re: [PR] perf: specialize scattered Boolean shuffle gathers [datafusion-comet] via GitHub
  • Re: [PR] perf: specialize scattered Boolean shuffle gathers [datafusion-comet] via GitHub

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