github  

Messages by Thread

• • Re: [PR] Fix CI Failure: replace false with NullEqualsNothing [datafusion] via GitHub
• [PR] doc: Add comments to clarify algorithm for `MarkJoin`s [datafusion] via GitHub
  • Re: [PR] doc: Add comments to clarify algorithm for `MarkJoin`s [datafusion] via GitHub
  • Re: [PR] doc: Add comments to clarify algorithm for `MarkJoin`s [datafusion] via GitHub
  • Re: [PR] doc: Add comments to clarify algorithm for `MarkJoin`s [datafusion] via GitHub
  • Re: [PR] doc: Add comments to clarify algorithm for `MarkJoin`s [datafusion] via GitHub
  • Re: [PR] doc: Add comments to clarify algorithm for `MarkJoin`s [datafusion] via GitHub
• Re: [I] Push Dynamic Join Predicates into Scan ("Sideways Information Passing", etc) [datafusion] via GitHub
  • Re: [I] Push Dynamic Join Predicates into Scan ("Sideways Information Passing", etc) [datafusion] via GitHub
• Re: [I] Comet cannot read decimals with physical type BINARY [datafusion-comet] via GitHub
• [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • Re: [I] Add BloomFilter PhysicalExpr [datafusion] via GitHub
  • 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: [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
• [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
• [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
• [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
• [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
• [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
• [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
  • 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: [I] Streamline github actions [datafusion-ballista] via GitHub
  • Re: [I] Streamline github actions [datafusion-ballista] via GitHub
• Re: [PR] Add hooks to `SchemaAdapter` to add custom column generators [datafusion] via GitHub
• Re: [I] Fix rat check errors during release process [datafusion-comet] via GitHub
  • Re: [I] Fix rat check errors during release process [datafusion-comet] via GitHub
• Re: [I] NoSuchMethodError: java.lang.Object org.apache.spark.executor.TaskMetrics.withExternalAccums(scala.Function1) [datafusion-comet] via GitHub
  • Re: [I] NoSuchMethodError: java.lang.Object org.apache.spark.executor.TaskMetrics.withExternalAccums(scala.Function1) [datafusion-comet] via GitHub
• Re: [I] NoSuchMethodError with Spark 3.5.3 (EMR 7.6) [datafusion-comet] via GitHub
  • Re: [I] NoSuchMethodError with Spark 3.5.3 (EMR 7.6) [datafusion-comet] via GitHub
• Re: [I] Update all github workflow to use actions tied to sha hashes [datafusion] via GitHub
  • Re: [I] Update all github workflow to use actions tied to sha hashes [datafusion] via GitHub
• Re: [I] Implement Spark-compatible CAST from timestamp to numeric types [datafusion-comet] via GitHub
  • Re: [I] Implement Spark-compatible CAST from timestamp to numeric types [datafusion-comet] via GitHub
• [PR] feat: Add support for signum expression [datafusion-comet] via GitHub
  • Re: [PR] feat: Add support for signum expression [datafusion-comet] via GitHub
  • Re: [PR] feat: Add support for signum expression [datafusion-comet] via GitHub
• [PR] chore: Enable tests for casting timestamp to numeric types [datafusion-comet] via GitHub
  • Re: [PR] chore: Enable tests for casting timestamp to numeric types [datafusion-comet] via GitHub
  • Re: [PR] chore: Enable tests for casting timestamp to numeric types [datafusion-comet] via GitHub
• Re: [I] Spark ColumnarToRowExec cannot pass CometBuffer safety check [datafusion-comet] via GitHub
  • Re: [I] Spark ColumnarToRowExec cannot pass CometBuffer safety check [datafusion-comet] via GitHub
  • Re: [I] Spark ColumnarToRowExec cannot pass CometBuffer safety check [datafusion-comet] via GitHub
• [I] Add support for `abs` [datafusion-comet] via GitHub
• Re: [I] Comet possibly preventing AQE optimization [datafusion-comet] via GitHub
• Re: [I] Missing ColumnarToRow when using CometSparkToColumnar [datafusion-comet] via GitHub
  • Re: [I] Missing ColumnarToRow when using CometSparkToColumnar [datafusion-comet] via GitHub
• Re: [I] Reported OOM with high cardinality distrinct aggregates [datafusion-comet] via GitHub
  • Re: [I] Reported OOM with high cardinality distrinct aggregates [datafusion-comet] via GitHub
• Re: [I] RecordBatch might have logical row mapping on physical arrays [datafusion-comet] via GitHub
  • Re: [I] RecordBatch might have logical row mapping on physical arrays [datafusion-comet] via GitHub
  • Re: [I] RecordBatch might have logical row mapping on physical arrays [datafusion-comet] via GitHub
• Re: [I] abs returns incorrect value in some cases [datafusion-comet] via GitHub
  • Re: [I] abs returns incorrect value in some cases [datafusion-comet] via GitHub
• Re: [I] chore: Separate out extended explain info unit test into spark dependent and spark independent parts [datafusion-comet] via GitHub
• Re: [I] Unable to Run tests of CometShuffleEncryptionSuite on macOS [datafusion-comet] via GitHub

• Earlier messages
• Later messages