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• • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
• [PR] feat: Support `u32` indices for `HashJoinExec` [datafusion] via GitHub
  • Re: [PR] feat: Support `u32` indices for `HashJoinExec` [datafusion] via GitHub
  • Re: [PR] feat: Support `u32` indices for `HashJoinExec` [datafusion] via GitHub
  • Re: [PR] feat: Support `u32` indices for `HashJoinExec` [datafusion] via GitHub
  • Re: [PR] feat: Support `u32` indices for `HashJoinExec` [datafusion] via GitHub
  • Re: [PR] feat: Support `u32` indices for `HashJoinExec` [datafusion] via GitHub
  • Re: [PR] feat: Support `u32` indices for `HashJoinExec` [datafusion] via GitHub
  • Re: [PR] feat: Support `u32` indices for `HashJoinExec` [datafusion] via GitHub
• Re: [I] Blog post about TopK filter pushdown [datafusion] via GitHub
  • Re: [I] Blog post about TopK filter pushdown [datafusion] via GitHub
  • Re: [I] Blog post about TopK filter pushdown [datafusion] via GitHub
• Re: [I] [Epic] A collection of dynamic filtering related items [datafusion] via GitHub
  • Re: [I] [Epic] A collection of dynamic filtering related items [datafusion] via GitHub
• Re: [I] Support RangePartitioning with native shuffle [datafusion-comet] via GitHub
• Re: [PR] [datafusion-spark] Implement ceil&floor function for spark [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement ceil&floor function for spark [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement ceil&floor function for spark [datafusion] via GitHub
• Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Implement `factorical` function [datafusion] via GitHub
• [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: [I] Use sha2 implementation from datafusion-spark crate [datafusion-comet] via GitHub
  • Re: [I] Use sha2 implementation from datafusion-spark crate [datafusion-comet] via GitHub
  • Re: [I] Use sha2 implementation from datafusion-spark crate [datafusion-comet] via GitHub
  • Re: [I] Use sha2 implementation from datafusion-spark crate [datafusion-comet] via GitHub
  • Re: [I] Use sha2 implementation from datafusion-spark crate [datafusion-comet] via GitHub
• Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
  • Re: [PR] Implementation for regex_instr [datafusion] via GitHub
• Re: [PR] Fix: Map functions crash on out of bounds cases [datafusion] via GitHub
• [I] Only update topk filter when updated filter is more selective [datafusion] via GitHub
  • Re: [I] Only update topk filter when updated filter is more selective [datafusion] via GitHub
• [I] interleave_views is slow [datafusion] via GitHub
• Re: [I] Optimize TopK with filter [datafusion] via GitHub
• Re: [PR] feat: optimize and unparse grouping [datafusion] via GitHub
  • Re: [PR] feat: optimize and unparse grouping [datafusion] via GitHub
• Re: [PR] chore: Add simple complex type microbenchmark [datafusion-comet] via GitHub
• [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
  • Re: [PR] Fix constant window for evaluate stateful [datafusion] via GitHub
• Re: [PR] Example for using a separate threadpool for CPU bound work (try 3) [datafusion] via GitHub
  • Re: [PR] Example for using a separate threadpool for CPU bound work (try 3) [datafusion] via GitHub
  • Re: [PR] Example for using a separate threadpool for CPU bound work (try 3) [datafusion] via GitHub
  • Re: [PR] Example for using a separate threadpool for CPU bound work (try 3) [datafusion] via GitHub
  • Re: [PR] Example for using a separate threadpool for CPU bound work (try 3) [datafusion] via GitHub
  • Re: [PR] Example for using a separate threadpool for CPU bound work (try 3) [datafusion] via GitHub
  • Re: [PR] Example for using a separate threadpool for CPU bound work (try 3) [datafusion] via GitHub
  • Re: [PR] Example for using a separate threadpool for CPU bound work (try 3) [datafusion] via GitHub
• Re: [PR] Unify Metadata Handing: use `FieldMetadata` in `Expr::Alias` and `ExprSchemable` [datafusion] via GitHub
  • Re: [PR] Unify Metadata Handing: use `FieldMetadata` in `Expr::Alias` and `ExprSchemable` [datafusion] via GitHub
• [I] Extend `DESCRIBE` statement for queries [datafusion] via GitHub
  • Re: [I] Extend `DESCRIBE` statement to output the schema [datafusion] via GitHub
• Re: [I] Many tests appear to test dictionary-encoded arrays but actually do not [datafusion-comet] via GitHub
  • Re: [I] Many tests appear to test dictionary-encoded arrays but actually do not [datafusion-comet] via GitHub
• [I] Update upgrade md for new unified config for sql string mapping to utf8view when we release datafusion 49.0.0 [datafusion] via GitHub
  • Re: [I] Update upgrade md for new unified config for sql string mapping to utf8view when we release datafusion 49.0.0 [datafusion] via GitHub
• [I] tan(-0.0) produces incorrect result [datafusion-comet] via GitHub
• [PR] chore: Improve testing of math scalar functions [datafusion-comet] via GitHub
  • Re: [PR] chore: Improve testing of math scalar functions [datafusion-comet] via GitHub
  • Re: [PR] minor: Improve testing of math scalar functions [datafusion-comet] via GitHub
  • Re: [PR] minor: Improve testing of math scalar functions [datafusion-comet] via GitHub
  • Re: [PR] minor: Improve testing of math scalar functions [datafusion-comet] via GitHub
  • Re: [PR] minor: Improve testing of math scalar functions [datafusion-comet] via GitHub
• Re: [I] Reduce page metadata loading to only what is necessary for query execution in ParquetOpen [datafusion] via GitHub
• [I] Add support for clickbench data and benchmark with page index [datafusion] via GitHub
  • Re: [I] Add support for clickbench data and benchmark with page index [datafusion] via GitHub
  • Re: [I] Add support for clickbench data and benchmark with page index [datafusion] via GitHub
  • Re: [I] Add support for clickbench data and benchmark with page index [datafusion] via GitHub
  • Re: [I] Add support for clickbench data and benchmark with page index [datafusion] via GitHub
• [PR] docs: Add docs stating that Comet does not support reading decimals encoded in Parquet BINARY format [datafusion-comet] via GitHub
  • Re: [PR] docs: Add docs stating that Comet does not support reading decimals encoded in Parquet BINARY format [datafusion-comet] via GitHub
• [I] How to properly measure off-heap memory usage for Comet? [datafusion-comet] via GitHub
  • Re: [I] How to properly measure off-heap memory usage for Comet? [datafusion-comet] via GitHub
• Re: [I] Cast from timestamp to decimal causes an exception [datafusion-comet] via GitHub
  • Re: [I] Cast from timestamp to decimal causes an exception [datafusion-comet] via GitHub
• [PR] perf: Optimize avg decimal accumulator [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize avg decimal accumulator [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
  • Re: [PR] perf: Optimize `AvgDecimalGroupsAccumulator` [datafusion-comet] via GitHub
• Re: [PR] Metadata handling announcement [datafusion-site] via GitHub
  • Re: [PR] Metadata handling announcement [datafusion-site] via GitHub
  • Re: [PR] Metadata handling announcement [datafusion-site] via GitHub
• [I] Support types other than String and Int for partition columns [datafusion-python] via GitHub
  • Re: [I] Support types other than String and Int for partition columns [datafusion-python] via GitHub
• [PR] Support types other than String and Int for partition columns [datafusion-python] via GitHub
  • Re: [PR] Support types other than String and Int for partition columns [datafusion-python] via GitHub
  • Re: [PR] Support types other than String and Int for partition columns [datafusion-python] via GitHub
  • Re: [PR] Support types other than String and Int for partition columns [datafusion-python] via GitHub
• [PR] chore(deps): bump mimalloc from 0.1.46 to 0.1.47 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump mimalloc from 0.1.46 to 0.1.47 [datafusion] via GitHub
  • [PR] chore(deps): bump mimalloc from 0.1.46 to 0.1.47 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump mimalloc from 0.1.46 to 0.1.47 [datafusion] via GitHub
• [I] Implement Single Join [datafusion] via GitHub
  • Re: [I] Implement Single Join [datafusion] via GitHub
  • Re: [I] Implement Single Join [datafusion] via GitHub
  • Re: [I] Implement Single Join [datafusion] via GitHub
• Re: [I] Mapping Char/Text/String default to Utf8View [datafusion] via GitHub
• [PR] Add support of parsing struct field's options in BigQuery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support of parsing struct field's options in BigQuery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support of parsing struct field's options in BigQuery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support of parsing struct field's options in BigQuery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support of parsing struct field's options in BigQuery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support of parsing struct field's options in BigQuery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support of parsing struct field's options in BigQuery [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support of parsing struct field's options in BigQuery [datafusion-sqlparser-rs] via GitHub
• Re: [PR] updatted github action by change version tag to sha hashes [datafusion] via GitHub
  • Re: [PR] updatted github action by change version tag to sha hashes [datafusion] via GitHub
• Re: [PR] Support bounds evaluation for temporal data types [datafusion] via GitHub
  • Re: [PR] Support bounds evaluation for temporal data types [datafusion] via GitHub
• Re: [PR] wip: proto to physical plan conversion [datafusion] via GitHub
  • Re: [PR] wip: proto to physical plan conversion [datafusion] via GitHub
• Re: [PR] refactor!: consistent null handling in coercible signatures [datafusion] via GitHub
  • Re: [PR] refactor!: consistent null handling in coercible signatures [datafusion] via GitHub
• Re: [PR] Feature/parse float as decimal default true [datafusion] via GitHub
• [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub
  • Re: [PR] feat: support array_max [datafusion-comet] via GitHub

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