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• • Re: [PR] feat: Lambda function support from DataFusion, illustrated with array_filter [datafusion-comet] via GitHub
• [I] `LimitPushdown` can return incorrect rows for fetched `SortPreservingMergeExec` over ordered Parquet scans [datafusion] via GitHub
• Re: [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion-comet] via GitHub
• [PR] fix(physical-plan): CTAS panic on wasm32-unknown-unknown [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): CTAS panic on wasm32-unknown-unknown [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): CTAS panic on wasm32-unknown-unknown [datafusion] via GitHub
  • Re: [PR] fix(physical-plan): CTAS panic on wasm32-unknown-unknown [datafusion] via GitHub
• Re: [PR] fix: honor target sorted flag and preserve map field metadata in cast_map_to_map [datafusion-comet] via GitHub
  • Re: [PR] fix: honor target sorted flag and preserve map field metadata in cast_map_to_map [datafusion-comet] via GitHub
• Re: [PR] fix: report `Input` column when native Iceberg scan is enabled or native shuffle is enabled [datafusion-comet] via GitHub
• [PR] fix: preserve scan order during sort-preserving merge limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve scan order during sort-preserving merge limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve scan order during sort-preserving merge limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve scan order during sort-preserving merge limit pushdown [datafusion] via GitHub
  • Re: [PR] fix: preserve scan order during sort-preserving merge limit pushdown [datafusion] via GitHub
• [I] `NegativeExpr::get_properties` reports child ordering and range unchanged [datafusion-comet] via GitHub
  • Re: [I] `NegativeExpr::get_properties` reports child ordering and range unchanged [datafusion-comet] via GitHub
• [I] `CREATE TABLE ... AS SELECT` panics on `wasm32-unknown-unknown` [datafusion] via GitHub
  • Re: [I] `CREATE TABLE ... AS SELECT` panics on `wasm32-unknown-unknown` [datafusion] via GitHub
• Re: [PR] Fix array_except nullability mismatch [datafusion-comet] via GitHub
  • Re: [PR] Fix array_except nullability mismatch [datafusion-comet] via GitHub
• Re: [PR] fix: round for float/double [datafusion-comet] via GitHub
  • Re: [PR] fix: round for float/double [datafusion-comet] via GitHub
• [PR] test: add expression fallback-invariance suite [datafusion-comet] via GitHub
• Re: [PR] bench: pwmj left semi/anti join [datafusion] via GitHub
  • Re: [PR] bench: pwmj left semi/anti join [datafusion] via GitHub
  • Re: [PR] bench: pwmj left semi/anti join [datafusion] via GitHub
  • Re: [PR] bench: pwmj left semi/anti join [datafusion] via GitHub
  • Re: [PR] bench: pwmj left semi/anti join [datafusion] via GitHub
• Re: [PR] perf: build spark_size LargeList lengths from i64 offsets [datafusion-comet] via GitHub
• [I] Replace the advertise_flight_sql_endpoint empty-string sentinel with an explicit flag [datafusion-ballista] via GitHub
  • Re: [I] Replace the advertise_flight_sql_endpoint empty-string sentinel with an explicit flag [datafusion-ballista] via GitHub
  • Re: [I] Replace the advertise_flight_sql_endpoint empty-string sentinel with an explicit flag [datafusion-ballista] via GitHub
• Re: [PR] fix: decode invalid UTF-8 at the JVM to native FFI import boundary [datafusion-comet] via GitHub
  • Re: [PR] fix: decode invalid UTF-8 at the JVM to native FFI import boundary [datafusion-comet] via GitHub
• Re: [PR] IN LIST: reuse primitive filters for FixedSizeBinary and Decimal128 [datafusion] via GitHub
  • Re: [PR] IN LIST: reuse primitive filters for FixedSizeBinary and Decimal128 [datafusion] via GitHub
  • Re: [PR] IN LIST: reuse primitive filters for FixedSizeBinary and Decimal128 [datafusion] via GitHub
  • Re: [PR] IN LIST: reuse primitive filters for FixedSizeBinary and Decimal128 [datafusion] via GitHub
• Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
  • Re: [PR] test(chaos): add a Kubernetes (kind) backend for the chaos harness [datafusion-ballista] via GitHub
• Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
  • Re: [PR] refactor: hook native Parquet writes into Spark's WriteFilesExec seam [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump reqsign-core from 3.2.0 to 3.2.1 in /native in the all-other-cargo-deps group [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump object_store_opendal from 0.57.0 to 0.58.0 in /native [datafusion-comet] via GitHub
• [I] Improved performance for FixedSizeBinary grouping [datafusion] via GitHub
  • Re: [I] Improved performance for FixedSizeBinary grouping [datafusion] via GitHub
• Re: [I] Multi-Group-By does not support FixedSizeBinary types [datafusion] via GitHub
• Re: [PR] fix: parenthesize nested expression display names [datafusion] via GitHub
  • Re: [PR] fix: parenthesize nested expression display names [datafusion] via GitHub
• [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] 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: [PR] fix: scope information schema to catalog [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: [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
• Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
  • Re: [I] `RepartitionExec` withholds all output from an unbounded input until `batch_size` rows accumulate [datafusion] via GitHub
• [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub

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