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• • Re: [PR] fix: Add CopyExec to inputs to SortMergeJoinExec [datafusion-comet] via GitHub
  • Re: [PR] fix: Add CopyExec to inputs to SortMergeJoinExec [datafusion-comet] via GitHub
  • Re: [PR] fix: Add CopyExec to inputs to SortMergeJoinExec [datafusion-comet] via GitHub
  • Re: [PR] fix: Add CopyExec to inputs to SortMergeJoinExec [datafusion-comet] via GitHub
• [I] `cargo test --test fuzz` fails with "Too many open files" [datafusion] via GitHub
  • Re: [I] `cargo test --test fuzz` fails with "Too many open files" [datafusion] via GitHub
• [PR] feat: Add config option to log fallback reasons [datafusion-comet] via GitHub
  • Re: [PR] feat: Add config option to log fallback reasons [datafusion-comet] via GitHub
  • Re: [PR] feat: Add config option to log fallback reasons [datafusion-comet] via GitHub
  • Re: [PR] feat: Add config option to log fallback reasons [datafusion-comet] via GitHub
  • Re: [PR] feat: Add config option to log fallback reasons [datafusion-comet] via GitHub
  • Re: [PR] feat: Add config option to log fallback reasons [datafusion-comet] via GitHub
• [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
  • Re: [PR] Testing: Try test optimize performance for coalesce [datafusion] via GitHub
• [I] Investigate whether we should be wrapping inputs to WindowAggExec in CopyExec [datafusion-comet] via GitHub
• [PR] minor: fix rustdocs for `window_agg_exec` [datafusion] via GitHub
  • Re: [PR] minor: fix rustdocs for `window_agg_exec` [datafusion] via GitHub
• [I] Remove mutable Parquet buffer use from `native_iceberg_compat` [datafusion-comet] via GitHub
  • Re: [I] Remove mutable Parquet buffer use from `native_iceberg_compat` [datafusion-comet] via GitHub
• [PR] [main] Update version to 49.0.1 and add changelog (#17175) [datafusion] via GitHub
  • Re: [PR] [main] Update version to 49.0.1 and add changelog (#17175) [datafusion] via GitHub
  • Re: [PR] [main] Update version to 49.0.1 and add changelog (#17175) [datafusion] via GitHub
  • Re: [PR] [main] Update version to 49.0.1 and add changelog (#17175) [datafusion] via GitHub
• [I] Inputs to SortMergeJoin should be wrapped in a CopyExec with UnpackOrDeepCopy if the inputs can reuse batches [datafusion-comet] via GitHub
  • Re: [I] Inputs to SortMergeJoin should be wrapped in a CopyExec with UnpackOrDeepCopy if the inputs can reuse batches [datafusion-comet] via GitHub
• [PR] FFI_RecordBatchStream was causing a memory leak [datafusion] via GitHub
  • Re: [PR] FFI_RecordBatchStream was causing a memory leak [datafusion] via GitHub
  • Re: [PR] FFI_RecordBatchStream was causing a memory leak [datafusion] via GitHub
  • Re: [PR] FFI_RecordBatchStream was causing a memory leak [datafusion] via GitHub
• Re: [I] Performance of `distinct on (columns)` [datafusion] via GitHub
• Re: [I] 1000x slowdown opening parquet file due to partitions [datafusion] via GitHub
• [PR] Drop redundant param from WindowFunctionDefinition::return_field [datafusion] via GitHub
  • Re: [PR] Miscellaneous cleanups [datafusion] via GitHub
  • Re: [PR] Miscellaneous cleanups [datafusion] via GitHub
  • Re: [PR] Miscellaneous cleanups [datafusion] via GitHub
  • Re: [PR] Miscellaneous cleanups [datafusion] via GitHub
  • Re: [PR] Miscellaneous cleanups [datafusion] via GitHub
  • Re: [PR] Miscellaneous cleanups [datafusion] via GitHub
• [I] Dynamic Filter Pushdown causes JOIN to return incorrect results [datafusion] via GitHub
  • Re: [I] Dynamic Filter Pushdown causes JOIN to return incorrect results [datafusion] via GitHub
  • Re: [I] Dynamic Filter Pushdown causes JOIN to return incorrect results [datafusion] via GitHub
  • Re: [I] Dynamic Filter Pushdown causes JOIN to return incorrect results [datafusion] via GitHub
  • Re: [I] Dynamic Filter Pushdown causes JOIN to return incorrect results [datafusion] via GitHub
  • Re: [I] Dynamic Filter Pushdown causes JOIN to return incorrect results [datafusion] via GitHub
• [I] doc : Documentation for implementing a new expression is outdated. [datafusion-comet] via GitHub
• [PR] CI: Fix extended test failure by updating `datafusion-testing` submodule [datafusion] via GitHub
  • Re: [PR] CI: Fix extended test failure by updating `datafusion-testing` submodule [datafusion] via GitHub
• Re: [I] Enable dynamic filter pushdown for non-inner joins in physical plans [datafusion] via GitHub
  • Re: [I] Enable dynamic filter pushdown for non-inner joins in physical plans [datafusion] via GitHub
• Re: [PR] limit intermediate batch size in nested_loop_join [datafusion] via GitHub
  • Re: [PR] limit intermediate batch size in nested_loop_join [datafusion] via GitHub
• Re: [PR] enhancement (datafusion-cli): Add support for glob patterns in CREATE EXTERNAL TABLE commands [datafusion] via GitHub
  • 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
• [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: [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

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