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• • Re: [PR] enhancement (datafusion-cli): Add support for glob patterns in CREATE EXTERNAL TABLE commands [datafusion] via GitHub
• Re: [PR] Additional placeholder datatype inferencing [datafusion] via GitHub
• Re: [PR] Add support for glob string in datafusion-cli query [datafusion] via GitHub
  • Re: [PR] Add support for glob string in datafusion-cli query [datafusion] via GitHub
• Re: [PR] [WIP] Flatten dependent join [datafusion] via GitHub
• Re: [PR] [WIP] fix: respect inexact flags in row group metadata [datafusion] via GitHub
• [PR] feat: support xxhash algoritem on datafusion [datafusion] via GitHub
• [PR] perf: Avoid deep copies for ScanExecs that do not use mutable Parquet buffers [wip] [datafusion-comet] via GitHub
  • Re: [PR] perf: Avoid deep copies for ScanExecs that do not use mutable Parquet buffers [wip] [datafusion-comet] via GitHub
  • Re: [PR] perf: Avoid deep copies for ScanExecs that do not use mutable Parquet buffers [wip] [datafusion-comet] via GitHub
  • Re: [PR] perf: Avoid deep copies for ScanExecs that do not use mutable Parquet buffers [wip] [datafusion-comet] via GitHub
  • Re: [PR] perf: Avoid deep copies for ScanExecs that do not use mutable Parquet buffers [wip] [datafusion-comet] via GitHub
  • Re: [PR] perf: Avoid deep copies for ScanExecs that do not use mutable Parquet buffers [datafusion-comet] via GitHub
• Re: [PR] fix: handle cast to dictionary vector introduced by case when [datafusion-comet] via GitHub
• [PR] perf: Only perform deep copies for CometScan [wip] [datafusion-comet] via GitHub
  • Re: [PR] perf: Only perform deep copies for CometScan [wip] [datafusion-comet] via GitHub
  • Re: [PR] perf: Only perform deep copies for CometScan [wip] [datafusion-comet] via GitHub
• [PR] fix: Maintain sort information when swapping projection into MemorySourceConfig [datafusion] via GitHub
  • Re: [PR] fix: Maintain sort information when swapping projection into MemorySourceConfig [datafusion] via GitHub
  • Re: [PR] fix: Maintain sort information when swapping projection into MemorySourceConfig [datafusion] via GitHub
  • Re: [PR] fix: Maintain sort information when swapping projection into MemorySourceConfig [datafusion] via GitHub
  • Re: [PR] fix: Maintain sort information when swapping projection into MemorySourceConfig [datafusion] via GitHub
• [I] MemorySourceConfig::try_swapping_with_projection discards sort information [datafusion] via GitHub
  • Re: [I] MemorySourceConfig::try_swapping_with_projection discards sort information [datafusion] via GitHub
  • Re: [I] MemorySourceConfig::try_swapping_with_projection discards sort information [datafusion] via GitHub
• Re: [I] Add support for registering files in the Arrow IPC stream format as tables using `register_arrow` or similar [datafusion] via GitHub
  • Re: [I] Add support for registering files in the Arrow IPC stream format as tables using `register_arrow` or similar [datafusion] via GitHub
  • Re: [I] Add support for registering files in the Arrow IPC stream format as tables using `register_arrow` or similar [datafusion] via GitHub
• [PR] Prepare for Merge Queue [datafusion] via GitHub
  • Re: [PR] Prepare for Merge Queue [datafusion] via GitHub
  • Re: [PR] Prepare for Merge Queue [datafusion] via GitHub
  • Re: [PR] Prepare for Merge Queue [datafusion] via GitHub
  • Re: [PR] Prepare for Merge Queue [datafusion] via GitHub
  • Re: [PR] Prepare for Merge Queue [datafusion] via GitHub
• [PR] Normalize `NUL` to `\0` in sqllogictests [datafusion] via GitHub
  • Re: [PR] Normalize `NUL` to `\0` in sqllogictests [datafusion] via GitHub
  • Re: [PR] Normalize `NUL` to `\0` in sqllogictests [datafusion] via GitHub
  • Re: [PR] Normalize `NUL` to `\0` in sqllogictests [datafusion] via GitHub
• Re: [I] Implement PartialEq, Hash for all UDFs (`ScalarUDFImpl`) [datafusion] via GitHub
• [PR] Fix PartialOrd for ScalarUDF [datafusion] via GitHub
  • Re: [PR] Fix PartialOrd for ScalarUDF [datafusion] via GitHub
  • Re: [PR] Fix PartialOrd for ScalarUDF [datafusion] via GitHub
  • Re: [PR] Fix PartialOrd for ScalarUDF [datafusion] via GitHub
  • Re: [PR] Fix PartialOrd for ScalarUDF [datafusion] via GitHub
  • Re: [PR] Fix PartialOrd for ScalarUDF [datafusion] via GitHub
  • Re: [PR] Fix PartialOrd for ScalarUDF [datafusion] via GitHub
  • Re: [PR] Fix PartialOrd for ScalarUDF [datafusion] via GitHub
  • Re: [PR] Fix PartialOrd for ScalarUDF [datafusion] via GitHub
• Re: [I] Replace `ScalarUDFImpl::{equals,hash_value}` with `UdfHash`, `UdfEq` traits [datafusion] via GitHub
• [I] Escape NUL characters in sqllogictests [datafusion] via GitHub
  • Re: [I] Escape NUL characters in sqllogictests [datafusion] via GitHub
• [I] Determine why deep copies are needed for native_iceberg_compat scan in some cases [datafusion-comet] via GitHub
  • Re: [I] Determine why deep copies are needed for native_iceberg_compat scan in some cases [datafusion-comet] via GitHub
  • Re: [I] Determine why deep copies are needed for native_iceberg_compat scan in some cases [datafusion-comet] via GitHub
  • Re: [I] Determine why deep copies are needed for native_iceberg_compat scan in some cases [datafusion-comet] via GitHub
• Re: [I] [iceberg] Error loading in-memory sorter check class path [datafusion-comet] via GitHub
  • Re: [I] [iceberg] Error loading in-memory sorter check class path [datafusion-comet] via GitHub
  • Re: [I] [iceberg] Error loading in-memory sorter check class path [datafusion-comet] via GitHub
• [PR] feat(spark): implement Spark `misc` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `misc` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `misc` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `misc` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `misc` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `misc` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `misc` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `bitmap` function `bitmap_count` [datafusion] via GitHub
• Re: [I] chore: Publish specific configs for each supported Spark version [datafusion-comet] via GitHub
• [PR] Enable `clippy::clone_on_ref_ptr` lint on workspace [datafusion] via GitHub
  • Re: [PR] Enable `clippy::clone_on_ref_ptr` lint on workspace [datafusion] via GitHub
• [I] Improve FFI testing and lifecycle tracking [datafusion-comet] via GitHub
• [I] Potential bug with Arrow leak detection [datafusion-comet] via GitHub
• [I] Potential bug with unaligned arrow arrays [datafusion-comet] via GitHub
  • Re: [I] Potential bug with unaligned arrow arrays [datafusion-comet] via GitHub
• [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
  • Re: [PR] docs: Update to support try arithmetic functions [datafusion-comet] via GitHub
• Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
  • Re: [PR] Only update TopK dynamic filters if the new ones are more selective [datafusion] via GitHub
• [PR] fix: Improve logic for determining when an UnpackOrDeepCopy is needed [datafusion-comet] via GitHub
  • Re: [PR] fix: Improve logic for determining when an UnpackOrDeepCopy is needed [datafusion-comet] via GitHub
  • Re: [PR] fix: Improve logic for determining when an UnpackOrDeepCopy is needed [datafusion-comet] via GitHub
  • Re: [PR] fix: Improve logic for determining when an UnpackOrDeepCopy is needed [datafusion-comet] via GitHub
  • Re: [PR] fix: Improve logic for determining when an UnpackOrDeepCopy is needed [datafusion-comet] via GitHub
  • Re: [PR] fix: Improve logic for determining when an UnpackOrDeepCopy is needed [datafusion-comet] via GitHub
  • Re: [PR] fix: Improve logic for determining when an UnpackOrDeepCopy is needed [datafusion-comet] via GitHub
  • Re: [PR] fix: Improve logic for determining when an UnpackOrDeepCopy is needed [datafusion-comet] via GitHub
  • Re: [PR] fix: Improve logic for determining when an UnpackOrDeepCopy is needed [datafusion-comet] via GitHub
• [PR] Join fuzz [datafusion] via GitHub
• [PR] Fix extended tests failure on main by updating `datafusion-testing` pin [datafusion] via GitHub
  • Re: [PR] Fix extended tests failure on main by updating `datafusion-testing` pin [datafusion] via GitHub
  • Re: [PR] Fix extended tests failure on main by updating `datafusion-testing` pin [datafusion] via GitHub
• [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
  • Re: [PR] feat: Include scan implementation name in CometScan nodeName [datafusion-comet] via GitHub
• [PR] docs: Add comprehensive Arrow FFI memory safety analysis [datafusion-comet] via GitHub
  • Re: [PR] docs: Add Arrow FFI documentation [datafusion-comet] via GitHub
• [PR] [branch-49] Update version to 49.0.1 and add changelog [datafusion] via GitHub
  • Re: [PR] [branch-49] Update version to 49.0.1 and add changelog [datafusion] via GitHub
  • Re: [PR] [branch-49] Update version to 49.0.1 and add changelog [datafusion] via GitHub
  • Re: [PR] [branch-49] Update version to 49.0.1 and add changelog [datafusion] via GitHub
  • Re: [PR] [branch-49] Update version to 49.0.1 and add changelog [datafusion] via GitHub
  • Re: [PR] [branch-49] Update version to 49.0.1 and add changelog [datafusion] via GitHub
  • Re: [PR] [branch-49] Update version to 49.0.1 and add changelog [datafusion] via GitHub
  • Re: [PR] [branch-49] Update version to 49.0.1 and add changelog [datafusion] via GitHub
• [PR] [branch-49] Pass the input schema to stats_projection for ProjectionExpr (#17123) [datafusion] via GitHub
  • Re: [PR] [branch-49] Backport Pass the input schema to stats_projection for ProjectionExpr (#17123) [datafusion] via GitHub
  • Re: [PR] [branch-49] Backport Pass the input schema to stats_projection for ProjectionExpr (#17123) [datafusion] via GitHub
• Re: [PR] feat: implement QUALIFY clause [datafusion] via GitHub
  • Re: [PR] feat: implement QUALIFY clause [datafusion] via GitHub
  • Re: [PR] feat: implement QUALIFY clause [datafusion] via GitHub
  • Re: [PR] feat: implement QUALIFY clause [datafusion] via GitHub
  • Re: [PR] feat: implement QUALIFY clause [datafusion] via GitHub
  • Re: [PR] feat: implement QUALIFY clause [datafusion] via GitHub
  • Re: [PR] feat: implement QUALIFY clause [datafusion] via GitHub
  • Re: [PR] feat: implement QUALIFY clause [datafusion] via GitHub
  • Re: [PR] feat: implement QUALIFY clause [datafusion] via GitHub
• [PR] Branch 49 17011 patch [datafusion] via GitHub
  • Re: [PR] Branch 49 17011 patch [datafusion] via GitHub
  • Re: [PR] Branch 49 17011 patch [datafusion] via GitHub
• Re: [PR] Support data source sampling with TABLESAMPLE [datafusion] via GitHub
  • Re: [PR] Support data source sampling with TABLESAMPLE [datafusion] via GitHub
  • Re: [PR] Support data source sampling with TABLESAMPLE [datafusion] via GitHub
• Re: [I] Support old syntax for `approx_percentile_cont` and `approx_percentile_cont_with_weight` [datafusion] via GitHub
• Re: [PR] (Re)Support old syntax for `approx_percentile_cont` and `approx_percentile_cont_with_weight` [datafusion] via GitHub

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