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• • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
  • Re: [PR] refactor: make file-statistics cache keys schema-aware [datafusion] via GitHub
• [PR] Fix/python cargo lock drift [datafusion-ballista] via GitHub
  • Re: [PR] Fix/python cargo lock drift [datafusion-ballista] via GitHub
• [PR] feat: release tokio runtime on driver/executor exit [datafusion-comet] via GitHub
  • Re: [PR] feat: release tokio runtime on driver/executor exit [datafusion-comet] via GitHub
• [PR] chore(deps): bump env_logger from 0.11.10 to 0.11.11 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump env_logger from 0.11.10 to 0.11.11 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.82.3 to 2.82.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.82.3 to 2.82.4 [datafusion-ballista] via GitHub
• [PR] doc: More comments on GroupedHashAggregateStream refactor [datafusion] via GitHub
  • Re: [PR] doc: More comments on GroupedHashAggregateStream refactor [datafusion] via GitHub
  • Re: [PR] doc: More comments on GroupedHashAggregateStream refactor [datafusion] via GitHub
  • Re: [PR] doc: More comments on GroupedHashAggregateStream refactor [datafusion] via GitHub
• Re: [PR] bench: add key-only payload sort benchmarks [datafusion] via GitHub
• Re: [PR] Adds dynamic filter support for NestedLoopJoinExec [datafusion] via GitHub
• Re: [PR] feat: substrait support of `Decimal32` & `Decimal64` [datafusion] via GitHub
• Re: [I] Support filter pushdown through `SortMergeJoinExec` [datafusion] via GitHub
• [PR] fix(enforce_sorting): remap sort requirement through ProjectionExec on pushdown [datafusion] via GitHub
  • Re: [PR] fix(enforce_sorting): remap sort requirement through ProjectionExec on pushdown [datafusion] via GitHub
  • Re: [PR] fix(`EnsureRequirements`): remap sort requirement through `ProjectionExec` on pushdown [datafusion] via GitHub
• [PR] fix: guard `test_stack_overflow` against a deep-recursion stack overflow [datafusion] via GitHub
  • Re: [PR] fix: run the deep `test_stack_overflow` cases on a large stack [datafusion] via GitHub
  • Re: [PR] fix: drop a deep `BinaryExpr` chain iteratively to avoid a stack overflow [datafusion] via GitHub
  • Re: [PR] fix: drop a deep `BinaryExpr` chain iteratively to avoid a stack overflow [datafusion] via GitHub
• Re: [I] Use Vectorized Partition Kernel for Window Frame Calculation [datafusion] via GitHub
  • Re: [I] Use Vectorized Partition Kernel for Window Frame Calculation [datafusion] via GitHub
• Re: [I] Remove usage of Accumulator from window functions [datafusion] via GitHub
  • Re: [I] Remove usage of Accumulator from window functions [datafusion] via GitHub
• [I] [EPIC] Improve the per-window performance for large windows [datafusion] via GitHub
  • Re: [I] [EPIC] Improve window function performance for large windows [datafusion] via GitHub
• [PR] chore: surface DataFusion 54 PruningMetrics and Ratio in CometNativeScan metrics [datafusion-comet] via GitHub
  • Re: [PR] chore: surface DataFusion 54 PruningMetrics and Ratio in CometNativeScan metrics [datafusion-comet] via GitHub
  • Re: [PR] chore: surface DataFusion 54 PruningMetrics and Ratio in CometNativeScan metrics [datafusion-comet] via GitHub
  • Re: [PR] chore: surface DataFusion 54 PruningMetrics and Ratio in CometNativeScan metrics [datafusion-comet] via GitHub
• Re: [I] Optimize how table partitions are pruned [datafusion] via GitHub
  • Re: [I] Optimize how table partitions are pruned [datafusion] via GitHub
• Re: [I] [EPIC] Merge EnforceDistribution + EnforceSorting into a single EnsureRequirements rule for correctness and idempotency [datafusion] via GitHub
• Re: [I] Window aggregates output order broken due to hash repartitioning [datafusion] via GitHub
  • Re: [I] Window aggregates output order broken due to hash repartitioning [datafusion] via GitHub
• [PR] [branch-54] backport #23192 `array_compact` handle edge case with NULLs [datafusion] via GitHub
• [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
  • Re: [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
  • Re: [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
  • Re: [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
  • Re: [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
  • Re: [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
  • Re: [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
  • Re: [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
  • Re: [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
  • Re: [PR] chore: use `Vec` instead of `OffsetBuilder` [datafusion] via GitHub
• [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
  • Re: [I] Add AQE to DataFusion [datafusion] via GitHub
• Re: [PR] docs: comet docs design overhaul- phase 1 [datafusion-comet] via GitHub
• [PR] fix: fall back for decimal SUM/AVG over sliding window frames (window audit) [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back for decimal SUM/AVG over sliding window frames (window audit) [datafusion-comet] via GitHub
• [I] [Bug] AVG(decimal) over a window always falls back to Spark on Spark 4.x (AvgDecimal window branch is dead) [datafusion-comet] via GitHub
• [PR] unwrap identity casts in schema adapter for filters [datafusion-comet] via GitHub
  • Re: [PR] perf: unwrap identity casts in schema adapter to enable Parquet stats pruning [datafusion-comet] via GitHub
  • Re: [PR] perf: unwrap identity casts in schema adapter to enable Parquet stats pruning [datafusion-comet] via GitHub
• [PR] Bump version to 54.0.0 [datafusion-python] via GitHub
• [I] [Bug] SUM(decimal) over a sliding window frame returns wrapped out-of-range value on overflow instead of NULL [datafusion-comet] via GitHub
  • Re: [I] [Bug] SUM(decimal) over a sliding window frame returns wrapped out-of-range value on overflow instead of NULL [datafusion-comet] via GitHub
• Re: [I] Enable `spark.comet.sparkToColumnar.enabled` when running Spark SQL tests [datafusion-comet] via GitHub
  • Re: [I] Enable `spark.comet.sparkToColumnar.enabled` when running Spark SQL tests [datafusion-comet] via GitHub
• Re: [I] chore: Publish specific documentation for each supported Spark version [datafusion-comet] via GitHub
  • Re: [I] chore: Publish specific documentation for each supported Spark version [datafusion-comet] via GitHub
• [PR] feat: route Unsupported through codegen dispatch for opt-in serdes [datafusion-comet] via GitHub
  • Re: [PR] feat: route Unsupported through codegen dispatch for opt-in serdes [datafusion-comet] via GitHub
  • Re: [PR] feat: route Unsupported through codegen dispatch for opt-in serdes [datafusion-comet] via GitHub
  • Re: [PR] feat: route Unsupported through codegen dispatch for opt-in serdes [datafusion-comet] via GitHub
• [PR] chore: remove 3.13 freethreaded builds [datafusion-python] via GitHub
  • Re: [PR] chore: remove 3.13 freethreaded builds [datafusion-python] via GitHub
  • Re: [PR] chore: remove 3.13 freethreaded builds [datafusion-python] via GitHub
• Re: [I] Improve ArrowWriter performance for fixed-length vectors [datafusion-comet] via GitHub
• [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
• [PR] chore: resolve audits after DF54.0.0 update to skill [datafusion-python] via GitHub
  • Re: [PR] chore: resolve audits after DF54.0.0 update to skill [datafusion-python] via GitHub
• Re: [I] Add support for bucketed Parquet writes [datafusion-comet] via GitHub
• Re: [I] use `array_compact` and `array_repeat` from Datafusion [datafusion-comet] via GitHub
• [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
• [I] Segfault with PyArrow 24 on macOS after DataFusion 54 upgrade (mimalloc v2/v3 collision) [datafusion-python] via GitHub
• [I] Allow Range partitioning to satisfy grouped aggregation requirements [datafusion] via GitHub
• Re: [I] Implement file commit protocol for native Parquet writes [datafusion-comet] via GitHub
• Re: [I] Add support for `MapFromEntries` [datafusion-comet] via GitHub
  • Re: [I] Add support for `MapFromEntries` [datafusion-comet] via GitHub
• Re: [I] Add native support for Sec, Csc, Cbrt, Hypot, Factorial, and ShiftRightUnsigned [datafusion-comet] via GitHub
  • Re: [I] Add native support for Sec, Csc, Cbrt, Hypot, Factorial, and ShiftRightUnsigned [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: create_array [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: create_array [datafusion-comet] via GitHub
• Re: [I] Add support for from_json (JsonToStructs) expression [datafusion-comet] via GitHub
  • Re: [I] Add support for from_json (JsonToStructs) expression [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: map_concat [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: map_concat [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: schema_of_json [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: schema_of_json [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: json_object_keys [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: json_object_keys [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: months_between [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: months_between [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: array_exists [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: array_exists [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: from_unix_time [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: from_unix_time [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: levenshtein [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: levenshtein [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: make_timestamp [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: make_timestamp [datafusion-comet] via GitHub
• Re: [I] Support spark unbase64 function [datafusion-comet] via GitHub
  • Re: [I] Support spark unbase64 function [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: aes_encrypt [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: aes_encrypt [datafusion-comet] via GitHub
• Re: [PR] feat: add support for `aes_decrypt` expression [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: aes_decrypt [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: aes_decrypt [datafusion-comet] via GitHub
• [PR] feat: Add native collect_list aggregate support [datafusion-comet] via GitHub
  • Re: [PR] feat: Add native collect_list aggregate support [datafusion-comet] via GitHub
• Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
• [PR] feat: Support decimal in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
• [PR] refactor: remove redundant partitioned_by_file_group file scan field [datafusion] via GitHub
  • Re: [PR] refactor: remove redundant partitioned_by_file_group file scan field [datafusion] via GitHub
• Re: [I] PostgreSQL compatibility: `SIMILAR TO` should treat `%` as a wildcard [datafusion] via GitHub
• [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
• [PR] Fix ArrayInsert evaluation for null source arrays [datafusion-comet] via GitHub
  • Re: [PR] fix: ArrayInsert evaluation for null source arrays [datafusion-comet] via GitHub
  • Re: [PR] fix: ArrayInsert evaluation for null source arrays [datafusion-comet] via GitHub
• [I] bug: shutdown `jni_api::TOKIO_RUNTIME` on exit [datafusion-comet] via GitHub
• [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
• Re: [I] Add distinction between "info" and "fallback" messages [datafusion-comet] via GitHub
• [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub

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