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• • Re: [PR] Refactor(optimizer): Simplify Stable ScalarUDFs using physical execution [datafusion] via GitHub
• Re: [PR] perf: Optimize strpos() for ASCII-only inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize strpos() for ASCII-only inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize strpos() for ASCII-only inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize strpos() for ASCII-only inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize strpos() for ASCII-only inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize strpos() for ASCII-only inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize strpos() for ASCII-only inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize strpos() for ASCII-only inputs [datafusion] via GitHub
• Re: [PR] Deprecate ExprSchema and ExprSchemable helpers (#15847) [datafusion] via GitHub
• Re: [PR] fix: percentile_cont interpolation causes NaN for f16 input [datafusion] via GitHub
  • Re: [PR] fix: percentile_cont interpolation causes NaN for f16 input [datafusion] via GitHub
  • Re: [PR] fix: percentile_cont interpolation causes NaN for f16 input [datafusion] via GitHub
• Re: [PR] feat: Add `partition_stats()` for `EmptyExec` [datafusion] via GitHub
• Re: [PR] feat: Reuse existing file instead of reopening during shuffle write [datafusion-comet] via GitHub
  • Re: [PR] feat: Reuse existing file instead of reopening during shuffle write [datafusion-comet] via GitHub
• Re: [PR] [WIP] fix: support format in from_unixtime [datafusion-comet] via GitHub
  • Re: [PR] [WIP] fix: support format in from_unixtime [datafusion-comet] via GitHub
• Re: [PR] Chore: Code hygiene - warn-numeric-widen [datafusion-comet] via GitHub
  • Re: [PR] Chore: Code hygiene - warn-numeric-widen [datafusion-comet] via GitHub
• Re: [PR] [WIP] fix: not to ignore guava duplications [datafusion-comet] via GitHub
  • Re: [PR] [WIP] fix: not to ignore guava duplications [datafusion-comet] via GitHub
• Re: [PR] [WIP] fix: Coalesced Partition [datafusion-comet] via GitHub
  • Re: [PR] [WIP] fix: Coalesced Partition [datafusion-comet] via GitHub
• Re: [PR] [WIP] fix: do not ignore test SPARK-48037 [datafusion-comet] via GitHub
  • Re: [PR] [WIP] fix: do not ignore test SPARK-48037 [datafusion-comet] via GitHub
  • Re: [PR] [WIP] fix: do not ignore test SPARK-48037 [datafusion-comet] via GitHub
• Re: [PR] fix: Correctly interpret and apply S3 `path.style.access` configurati… [datafusion-comet] via GitHub
  • Re: [PR] fix: Correctly interpret and apply S3 `path.style.access` configurati… [datafusion-comet] via GitHub
• Re: [I] Proposal: Port most microbenchmarks to PySpark [datafusion-comet] via GitHub
• Re: [PR] feat: Enable creating dynamic filters for both sides; support right side bound collection [datafusion] via GitHub
• Re: [PR] feat: Support decimal for variance [datafusion] via GitHub
  • Re: [PR] feat: Support decimal for variance [datafusion] via GitHub
• Re: [PR] Coalesce batches inside hash-repartition [datafusion] via GitHub
• Re: [PR] feat: Enhance percentile_cont to support array argument [datafusion] via GitHub
• [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
  • Re: [PR] perf: Optimize translate() UDF for scalar inputs [datafusion] via GitHub
• Re: [D] About building jar from repo. [datafusion-comet] via GitHub
• [PR] feat: sort file groups by statistics during sort pushdown [datafusion] via GitHub
  • Re: [PR] feat: sort file groups by statistics during sort pushdown [datafusion] via GitHub
• [PR] Fix dynamic filter pushdown to wrong table with same-named columns [datafusion] via GitHub
  • Re: [PR] Fix dynamic filter pushdown to wrong table with same-named columns [datafusion] via GitHub
  • Re: [PR] Fix dynamic filter pushdown to wrong table with same-named columns [datafusion] via GitHub
• Re: [PR] feat: Implement Spark `bitmap_bucket_number` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bucket_number` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bucket_number` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bucket_number` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bucket_number` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bucket_number` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bucket_number` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bucket_number` function [datafusion] via GitHub
• [I] Optimize translate() [datafusion] via GitHub
  • Re: [I] Optimize translate() [datafusion] via GitHub
  • Re: [I] Optimize translate() [datafusion] via GitHub
• Re: [PR] feat: Implement Spark `bitmap_bit_position` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bit_position` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bit_position` function [datafusion] via GitHub
  • Re: [PR] feat: Implement Spark `bitmap_bit_position` function [datafusion] via GitHub
• Re: [I] [Bug] Dynamic filter leads to wrong results in some aggregation queries with >1 partitions [datafusion] via GitHub
• Re: [PR] fix: disable dynamic filter pushdown for non min/max aggregates [datafusion] via GitHub
• Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
  • Re: [PR] chore: Cast module refactor boolean module [datafusion-comet] via GitHub
• Re: [PR] [branch-52] fix: filter pushdown when merge filter (#20110) [datafusion] via GitHub
• [PR] fix: [df52] handle case-insensitive column matching in PhysicalExprAdapter [datafusion-comet] via GitHub
  • Re: [PR] fix: [df52] handle case-insensitive column matching in PhysicalExprAdapter [datafusion-comet] via GitHub
  • Re: [PR] fix: [df52] handle case-insensitive column matching in PhysicalExprAdapter [datafusion-comet] via GitHub
• [PR] docs: fix typos and improve wording in README [datafusion] via GitHub
  • Re: [PR] docs: fix typos and improve wording in README [datafusion] via GitHub
  • Re: [PR] docs: fix typos and improve wording in README [datafusion] via GitHub
  • Re: [PR] docs: fix typos and improve wording in README [datafusion] via GitHub
  • Re: [PR] docs: fix typos and improve wording in README [datafusion] via GitHub
  • Re: [PR] docs: fix typos and improve wording in README [datafusion] via GitHub
• Re: [PR] chore: Make `push` CI to be triggered for `main` branch only [datafusion-comet] via GitHub
• Re: [PR] Support different scales for decimal binary math functions [datafusion] via GitHub
• [PR] fix: [df52] route timestamp timezone mismatches through spark_parquet_convert [datafusion-comet] via GitHub
  • Re: [PR] fix: [df52] route timestamp timezone mismatches through spark_parquet_convert [datafusion-comet] via GitHub
  • Re: [PR] fix: [df52] route timestamp timezone mismatches through spark_parquet_convert [datafusion-comet] via GitHub
• Re: [PR] chore: DataFusion 52 migration [datafusion-comet] via GitHub
  • Re: [PR] chore: DataFusion 52 migration [datafusion-comet] via GitHub
  • Re: [PR] chore: DataFusion 52 migration [datafusion-comet] via GitHub
  • Re: [PR] chore: DataFusion 52 migration [datafusion-comet] via GitHub
  • Re: [PR] chore: DataFusion 52 migration [datafusion-comet] via GitHub
• Re: [PR] fix: race condition in SpillPool caused by buffered stream [datafusion] via GitHub
  • Re: [PR] fix: race condition in SpillPool caused by buffered stream [datafusion] via GitHub
  • Re: [PR] fix: race condition in SpillPool caused by buffered stream [datafusion] via GitHub
  • Re: [PR] fix: race condition in SpillPool caused by buffered stream [datafusion] via GitHub
  • Re: [PR] fix: race condition in SpillPool caused by buffered stream [datafusion] via GitHub
  • Re: [PR] fix: race condition in SpillPool caused by buffered stream [datafusion] via GitHub
  • Re: [PR] fix: race condition in SpillPool caused by buffered stream [datafusion] via GitHub
• Re: [PR] feat: Support for StringSplit [datafusion-comet] via GitHub
  • Re: [PR] feat: Support for StringSplit [datafusion-comet] via GitHub
  • Re: [PR] feat: Support for StringSplit [datafusion-comet] via GitHub
• Re: [PR] fix: [df52] make relabel_array recursive for nested type mismatches [datafusion-comet] via GitHub
• Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
  • Re: [I] Dynamic filter applied to the wrong table when using subqueries [datafusion] via GitHub
• Re: [PR] perf: various optimizations to eliminate branch misprediction in hash_utils [datafusion] via GitHub
  • Re: [PR] perf: various optimizations to eliminate branch misprediction in hash_utils [datafusion] via GitHub
  • Re: [PR] perf: various optimizations to eliminate branch misprediction in hash_utils [datafusion] via GitHub
  • Re: [PR] perf: various optimizations to eliminate branch misprediction in hash_utils [datafusion] via GitHub
  • Re: [PR] perf: various optimizations to eliminate branch misprediction in hash_utils [datafusion] via GitHub
  • Re: [PR] perf: various optimizations to eliminate branch misprediction in hash_utils [datafusion] via GitHub
• Re: [PR] chore(deps): bump rand from 0.9.2 to 0.10.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump rand from 0.9.2 to 0.10.0 [datafusion-ballista] via GitHub
• Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
  • Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
  • Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
  • Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
  • Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
  • Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
  • Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
  • Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
  • Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
  • Re: [PR] Support parent dynamic filters for more join types [datafusion] via GitHub
• Re: [PR] Fix Arrow Spill Underrun [datafusion] via GitHub
  • Re: [PR] Fix Arrow Spill Underrun [datafusion] via GitHub
• Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
  • Re: [PR] feat: add `Dataframe.cache()` factory (no planner handling) [datafusion-ballista] via GitHub
• Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
  • Re: [PR] feat: Enable native Parquet writer in Spark SQL tests [datafusion-comet] via GitHub
• [PR] Add more expression pushdown tests [datafusion] via GitHub
  • Re: [PR] Add more expression pushdown tests [datafusion] via GitHub
  • Re: [PR] Add more expression pushdown tests [datafusion] via GitHub
  • Re: [PR] Add more expression pushdown tests [datafusion] via GitHub
• Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2026/02/dyn filter partition indexed [datafusion] via GitHub
• Re: [PR] fix: Avoid integer overflow in substr() [datafusion] via GitHub
  • Re: [PR] fix: Avoid integer overflow in substr() [datafusion] via GitHub
  • Re: [PR] fix: Avoid integer overflow in substr() [datafusion] via GitHub
• Re: [I] [Feature] Support Spark expression: url_encode [datafusion-comet] via GitHub

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