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• [I] Comet 1.1.0 Release (September) [datafusion-comet] via GitHub
• Re: [I] Comet 1.0.0 Release [datafusion-comet] via GitHub
• [I] Could Rust 1.98 new floating point optimizations help Comet? [datafusion-comet] via GitHub
  • Re: [I] Could Rust 1.98 new floating point optimizations help Comet? [datafusion-comet] via GitHub
• [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
  • Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
  • Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
  • Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
  • Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
  • Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
  • Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
• [I] Bug triage results: 2026-08-11 [datafusion-comet] via GitHub
• Re: [PR] feat: add experimental native support for in-memory cache, disabled by default [datafusion-comet] via GitHub
  • Re: [PR] feat: add experimental native support for in-memory cache, disabled by default [datafusion-comet] via GitHub
• Re: [I] [EPIC] Implement Range Partitioning [datafusion] via GitHub
• Re: [PR] feat: recognize .arrows as an Arrow IPC stream extension [datafusion] via GitHub
• [PR] chore(proto): remove never-released deprecated PhysicalPlanNodeExt scaffolding [datafusion] via GitHub
  • Re: [PR] chore(proto): remove never-released deprecated PhysicalPlanNodeExt scaffolding [datafusion] via GitHub
  • Re: [PR] chore(proto): remove never-released deprecated PhysicalPlanNodeExt scaffolding [datafusion] via GitHub
  • Re: [PR] chore(proto): remove never-released deprecated PhysicalPlanNodeExt scaffolding [datafusion] via GitHub
• [I] [EPIC] Sort Pushdown: remaining improvements [datafusion] via GitHub
• Re: [PR] perf: remove per-row String allocations from the Spark url functions [datafusion] via GitHub
  • Re: [PR] perf: remove per-row String allocations from the Spark url functions [datafusion] via GitHub
  • Re: [PR] perf: remove per-row String allocations from the Spark url functions [datafusion] via GitHub
• Re: [I] [EPIC] Sort Pushdown: skip sorts and skip IO / decode for ORDER BY / TopK queries [datafusion] via GitHub
  • Re: [I] [EPIC] Sort Pushdown: skip sorts and skip IO / decode for ORDER BY / TopK queries [datafusion] via GitHub
  • Re: [I] [EPIC] Sort Pushdown: skip sorts and skip IO / decode for ORDER BY / TopK queries [datafusion] via GitHub
• [I] EPIC: complete GroupValuesColumn [datafusion] via GitHub
• Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
  • Re: [PR] feat(cli): add opt-in Spark function registration [datafusion] via GitHub
• Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
• Re: [I] [ClickBench] Reduce per-file overhead (don't clone the ParquetMetaData for each file) [datafusion] via GitHub
  • Re: [I] [ClickBench] Reduce per-file overhead (don't clone the ParquetMetaData for each file) [datafusion] via GitHub
• Re: [PR] Added support for parsing nested object in query for Snowflake [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Added support for parsing nested object in query for Snowflake [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Added support for parsing nested object in query for Snowflake [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Added support for parsing nested object in query for Snowflake [datafusion-sqlparser-rs] via GitHub
• Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip RowFilter on statically fully-matched row groups [datafusion] via GitHub
• Re: [PR] refactor: moving WindowTopN before EnsureRequirements [datafusion] via GitHub
  • Re: [PR] refactor: moving WindowTopN before EnsureRequirements [datafusion] via GitHub
• Re: [I] Real-time streaming support [datafusion] via GitHub
  • Re: [I] Real-time streaming support [datafusion] via GitHub
• Re: [I] [DISCUSSION] Support for Streaming in DataFusion [datafusion] via GitHub
• Re: [I] A bug from `EnforceDistribution`. [datafusion] via GitHub
  • Re: [I] A bug from `EnforceDistribution`. [datafusion] via GitHub
  • Re: [I] A bug from `EnforceDistribution`. [datafusion] via GitHub
• Re: [I] Perf: Streaming Aggregation should not be chosen unconditionally when the input is sorted [datafusion] via GitHub
  • Re: [I] Perf: Streaming Aggregation should not be chosen unconditionally when the input is sorted [datafusion] via GitHub
• Re: [I] make dynamic filters in `ExecutionPlan` nodes discoverable [datafusion] via GitHub
  • Re: [I] make dynamic filters in `ExecutionPlan` nodes discoverable [datafusion] via GitHub
• Re: [PR] fix: avoid buffering unbounded repartition output indefinitely [datafusion] via GitHub
  • Re: [PR] fix: avoid buffering unbounded repartition output indefinitely [datafusion] via GitHub
  • Re: [PR] fix: avoid buffering unbounded repartition output indefinitely [datafusion] via GitHub
• [PR] feat(spark): add `to_binary` and `try_to_binary` [datafusion] via GitHub
  • Re: [PR] feat(spark): add `to_binary` and `try_to_binary` [datafusion] via GitHub
  • Re: [PR] feat(spark): add `to_binary` and `try_to_binary` [datafusion] via GitHub
  • Re: [PR] feat(spark): add `to_binary` and `try_to_binary` [datafusion] via GitHub
  • Re: [PR] feat(spark): add `to_binary` and `try_to_binary` [datafusion] via GitHub
  • Re: [PR] feat(spark): add `to_binary` and `try_to_binary` [datafusion] via GitHub
• Re: [I] doc: explain the parquet cdc feature from a user perspective [datafusion] via GitHub
• Re: [I] Make some modules to be public. [datafusion] via GitHub
  • Re: [I] Make some modules to be public. [datafusion] via GitHub
• Re: [I] Document streaming usecase (like `UNBOUNDED` tables) [datafusion] via GitHub
  • Re: [I] Document streaming usecase (like `UNBOUNDED` tables) [datafusion] via GitHub
  • Re: [I] Document streaming usecase (like `UNBOUNDED` tables) [datafusion] via GitHub
  • Re: [I] Document streaming usecase (like `UNBOUNDED` tables) [datafusion] via GitHub
  • Re: [I] Document streaming usecase (like `UNBOUNDED` tables) [datafusion] via GitHub
• [I] [EPIC] Better support for Streaming SQL [datafusion] via GitHub
  • Re: [I] [EPIC] Better support / documentation / tests for Streaming SQL Engines [datafusion] via GitHub
  • Re: [I] [EPIC] Better support / documentation / tests for Streaming SQL Engines [datafusion] via GitHub
  • Re: [I] [EPIC] Better support / documentation / tests for Streaming SQL Engines [datafusion] via GitHub
  • Re: [I] [EPIC] Better support / documentation / tests for Streaming SQL Engines [datafusion] via GitHub
• [I] OptimizeProjections: avoid recomputing projection schema (O(exprs × width)) by slicing the input schema [datafusion] via GitHub
• Re: [I] Feature Request: Implement `MATCH_RECOGNIZE` for Advanced Pattern Matching [datafusion] via GitHub
  • Re: [I] Feature Request: Implement `MATCH_RECOGNIZE` for Advanced Pattern Matching [datafusion] via GitHub
• Re: [I] Bug: EnforceDistribution is not idempotent despite documentation claim [datafusion] via GitHub
  • Re: [I] Bug: EnforceDistribution is not idempotent despite documentation claim [datafusion] via GitHub
  • Re: [I] Bug: EnforceDistribution is not idempotent despite documentation claim [datafusion] via GitHub
• [PR] refactor(hash-aggr): Disable the legacy aggregation implementation. [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Disable the legacy aggregation implementation. [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Disable the legacy aggregation implementation. [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Disable the legacy aggregation implementation. [datafusion] via GitHub
• [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
• Re: [I] Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
• [PR] refactor(hash-aggr): grouping sets routing [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): grouping sets routing [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): grouping sets routing [datafusion] via GitHub
• [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
• [PR] refactor: migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): migrate ordered single aggregation [datafusion] via GitHub
• [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve null semantics in expression simplification [datafusion] via GitHub
• Re: [PR] refactor: Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
  • Re: [PR] refactor: Refactor numeric sign and padding in Spark format_string [datafusion] via GitHub
• [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix ArrowBytesViewMap retained capacity accounting [datafusion] via GitHub
• Re: [PR] Parser: fix exponential parse time on nested function-call arguments [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parser: fix exponential parse time on nested function-call arguments [datafusion-sqlparser-rs] via GitHub
• [PR] chore(deps): bump toml from 0.9.12+spec-1.1.0 to 1.1.3+spec-1.1.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump toml from 0.9.12+spec-1.1.0 to 1.1.3+spec-1.1.0 [datafusion] via GitHub
• [PR] chore(deps): bump substrait from 0.63.0 to 0.64.1 [datafusion] via GitHub
• [PR] chore(deps): bump the all-other-cargo-deps group with 4 updates [datafusion] via GitHub
  • Re: [PR] chore(deps): bump the all-other-cargo-deps group with 4 updates [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.85.6 to 2.85.10 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.85.6 to 2.85.10 [datafusion] via GitHub
• [PR] chore(deps): bump runs-on/action from 2.2.0 to 2.3.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump runs-on/action from 2.2.0 to 2.3.0 [datafusion] via GitHub
• [PR] chore(deps): bump Swatinem/rust-cache from 2.9.1 to 2.9.2 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump Swatinem/rust-cache from 2.9.1 to 2.9.2 [datafusion] via GitHub
• [PR] chore(deps): bump pbjson-types from 0.8.0 to 0.9.0 in the proto group [datafusion] via GitHub
• [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion] via GitHub
  • Re: [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion] via GitHub
• [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in bitwise xor simplification [datafusion] via GitHub
• [PR] fix: preserve NULL semantics in `log` and `power` simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in `log` and `power` simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in `log` and `power` simplification [datafusion] via GitHub
  • Re: [PR] fix: preserve NULL semantics in `log` and `power` simplification [datafusion] via GitHub
• [I] Expression simplifications may produce incorrect results with NULLs [datafusion] via GitHub
  • Re: [I] Expression simplifications may produce incorrect results with NULLs [datafusion] via GitHub
• Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
  • Re: [PR] Fix aggregate accumulator capacity accounting [datafusion] via GitHub
• Re: [PR] Refactor post-aggregate clause rebasing and validation with shared helpers [datafusion] via GitHub
• Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub

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