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• [PR] chore(deps): bump the proto group with 3 updates [datafusion] via GitHub
• Re: [PR] feat: support Spark-compatible abs math function part 2 - ANSI mode [datafusion] via GitHub
• [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
• [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
• [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
• [PR] Add placeholder type inference for CASE expressions [datafusion] via GitHub
  • Re: [PR] Add placeholder type inference for CASE expressions [datafusion] via GitHub
  • Re: [PR] Add placeholder type inference for CASE expressions [datafusion] via GitHub
  • Re: [PR] Add placeholder type inference for CASE expressions [datafusion] via GitHub
  • Re: [PR] Add placeholder type inference for CASE expressions [datafusion] via GitHub
  • Re: [PR] Add placeholder type inference for CASE expressions [datafusion] via GitHub
• [I] [expr] Placeholder inference for CASE statements [datafusion] via GitHub
  • Re: [I] [expr] Placeholder inference for CASE statements [datafusion] via GitHub
• Re: [I] [EPIC] Support `VARIANT` type for unstructured data [datafusion] via GitHub
  • Re: [I] [EPIC] Support `VARIANT` type for unstructured data [datafusion] via GitHub
• [PR] chore: Refactor string benchmarks [datafusion-comet] via GitHub
  • Re: [PR] chore: Refactor string benchmarks (~10x reduction in LOC) [datafusion-comet] via GitHub
  • Re: [PR] chore: Refactor string benchmarks (~10x reduction in LOC) [datafusion-comet] via GitHub
  • Re: [PR] chore: Refactor string benchmarks (~10x reduction in LOC) [datafusion-comet] via GitHub
• [PR] fix: remove advertise_flight_sql_endpoint config from scheduler [datafusion-ballista] via GitHub
  • Re: [PR] fix: remove advertise_flight_sql_endpoint config from scheduler [datafusion-ballista] via GitHub
• [PR] build(deps): bump actions/upload-artifact from 4 to 6 [datafusion-python] via GitHub
• [PR] build(deps): bump actions/cache from 4 to 5 [datafusion-python] via GitHub
• [PR] build(deps): bump actions/download-artifact from 5 to 7 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump actions/upload-artifact from 4 to 5 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump actions/upload-artifact from 4 to 5 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump actions/download-artifact from 5 to 6 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump actions/download-artifact from 5 to 6 [datafusion-python] via GitHub
• [PR] feat: Proof-of-concept of AQE cost-based optimization [datafusion-comet] via GitHub
  • Re: [PR] feat: Proof-of-concept of AQE cost-based optimization [datafusion-comet] via GitHub
  • Re: [PR] feat: Proof-of-concept of AQE cost-based optimization [datafusion-comet] via GitHub
  • Re: [PR] feat: Proof-of-concept of AQE cost-based optimization [datafusion-comet] via GitHub
  • Re: [PR] feat: Proof-of-concept of cost-based optimization [WIP / Experimental] [datafusion-comet] via GitHub
• Re: [I] Optimize histogram bucket calculation based on `case` [datafusion] via GitHub
• Re: [I] How to write csv file to disk from a empty dataframe? [datafusion] via GitHub
• [PR] Store example data directly inside the datafusion-examples (#19141) [datafusion] via GitHub
  • Re: [PR] Store example data directly inside the datafusion-examples (#19141) [datafusion] via GitHub
  • Re: [PR] Store example data directly inside the datafusion-examples (#19141) [datafusion] via GitHub
  • Re: [PR] Store example data directly inside the datafusion-examples (#19141) [datafusion] via GitHub
  • Re: [PR] Store example data directly inside the datafusion-examples (#19141) [datafusion] via GitHub
  • Re: [PR] Store example data directly inside the datafusion-examples (#19141) [datafusion] via GitHub
• [PR] Feat: map_from_entries [datafusion-comet] via GitHub
  • Re: [PR] Feat: map_from_entries [datafusion-comet] via GitHub
• [PR] Minor: remove unnecessary unit tests for fixed size binary [datafusion] via GitHub
  • Re: [PR] Minor: remove unnecessary unit tests for fixed size binary [datafusion] via GitHub
• Re: [I] FixedSizeBinary should be an allowable input to base64 encoding [datafusion] via GitHub
• [PR] Minor: clean up titles and links n extending operators and optimizer pages [datafusion] via GitHub
  • Re: [PR] Minor: clean up titles and links n extending operators and optimizer pages [datafusion] via GitHub
  • Re: [PR] Minor: clean up titles and links n extending operators and optimizer pages [datafusion] via GitHub
• [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
  • Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
  • Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
  • Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
  • Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
  • Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
  • Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
  • Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
  • Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
• [PR] Fix regression for negative-scale decimals in log [datafusion] via GitHub
  • Re: [PR] Fix regression for negative-scale decimals in log [datafusion] via GitHub
  • Re: [PR] Fix regression for negative-scale decimals in log [datafusion] via GitHub
  • Re: [PR] Fix regression for negative-scale decimals in log [datafusion] via GitHub
  • Re: [PR] Fix regression for negative-scale decimals in log [datafusion] via GitHub
• [I] pow() with integer base and negative float exponent returns error [datafusion] via GitHub
  • Re: [I] pow() with integer base and negative float exponent returns error [datafusion] via GitHub
• Re: [PR] Immutable parser (Tokenize borrow strings cont) [datafusion-sqlparser-rs] via GitHub
• [PR] fix: Disallows dropping duplicate keys when using full outer join [datafusion-python] via GitHub
• Re: [I] Support for filtered arrow datasets [datafusion] via GitHub
  • Re: [I] Support for filtered arrow datasets [datafusion] via GitHub
• [PR] Move `newlines_in_values` from `FileScanConfig` to `CsvSource` [datafusion] via GitHub
  • Re: [PR] Move `newlines_in_values` from `FileScanConfig` to `CsvSource` [datafusion] via GitHub
  • Re: [PR] Move `newlines_in_values` from `FileScanConfig` to `CsvSource` [datafusion] via GitHub
• [I] feat: plan-time SQL expression simplifying [datafusion] via GitHub
• [PR] feat: plan-time SQL expression simplifying [datafusion] via GitHub
  • Re: [PR] feat: plan-time SQL expression simplifying [datafusion] via GitHub
  • Re: [PR] feat: plan-time SQL expression simplifying [datafusion] via GitHub
  • Re: [PR] feat: plan-time SQL expression simplifying [datafusion] via GitHub
• Re: [I] Avoid evaluating filters when they can be discarded purely from statistics [datafusion] via GitHub
• Re: [I] `datafusion.execution.time_zone` is not used for basic time zone inference [datafusion] via GitHub
  • Re: [I] `datafusion.execution.time_zone` is not used for basic time zone inference [datafusion] via GitHub
  • Re: [I] `datafusion.execution.time_zone` is not used for basic time zone inference [datafusion] via GitHub
  • Re: [I] `datafusion.execution.time_zone` is not used for basic time zone inference [datafusion] via GitHub
  • Re: [I] `datafusion.execution.time_zone` is not used for basic time zone inference [datafusion] via GitHub
  • Re: [I] `datafusion.execution.time_zone` is not used for basic time zone inference [datafusion] via GitHub
• [I] Columnar shuffle with nested types is slower than Spark [datafusion-comet] via GitHub
• [PR] docs: Add documentation on running microbenchmark [WIP] [datafusion-comet] via GitHub
• [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
  • Re: [PR] chore: Add shuffle benchmark for deeply nested schemas [datafusion-comet] via GitHub
• [PR] feat: support_spark_4_cast_fix_tests [datafusion-comet] via GitHub
  • Re: [PR] feat: support_spark_4_cast_fix_tests [datafusion-comet] via GitHub
  • Re: [PR] feat: support_ansi-mode_aggregated_benchmarking [datafusion-comet] via GitHub
  • Re: [PR] feat: support_ansi-mode_aggregated_benchmarking [datafusion-comet] via GitHub
  • Re: [PR] feat: support_ansi-mode_aggregated_benchmarking [datafusion-comet] via GitHub
  • Re: [PR] feat: support_ansi-mode_aggregated_benchmarking [datafusion-comet] via GitHub
• Re: [I] Move physical plan filter pushdown optimizer rule to avoid adding unnecessary nodes [datafusion] via GitHub
  • Re: [I] Move physical plan filter pushdown optimizer rule to avoid adding unnecessary nodes [datafusion] via GitHub
• Re: [I] Avoid re-implementing expression simplification in pruning.rs [datafusion] via GitHub
  • Re: [I] Avoid re-implementing expression simplification in pruning.rs [datafusion] via GitHub
• Re: [I] feature: implement PhysicalExpr const simplifier/evaluator [datafusion] via GitHub
  • Re: [I] feature: implement PhysicalExpr const simplifier/evaluator [datafusion] via GitHub
• Re: [I] Push down entire hash table from HashJoinExec into scans [datafusion] via GitHub
  • Re: [I] Push down entire hash table from HashJoinExec into scans [datafusion] via GitHub
  • Re: [I] Push down entire hash table from HashJoinExec into scans [datafusion] via GitHub
• [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for optimizer and macros [datafusion] via GitHub
• [PR] Support ansi mode aggregated benchmarks [datafusion-comet] via GitHub
  • Re: [PR] Support ansi mode aggregated benchmarks [datafusion-comet] via GitHub
• [PR] feat: Make shuffle writer buffer size configurable [WIP] [datafusion-comet] via GitHub
  • Re: [PR] feat: Make shuffle writer buffer size configurable [WIP] [datafusion-comet] via GitHub
  • Re: [PR] feat: Make shuffle writer buffer size configurable [datafusion-comet] via GitHub
  • Re: [PR] feat: Make shuffle writer buffer size configurable [datafusion-comet] via GitHub
• [PR] fix: Fix double counting of shuffle bytes written [WIP] [datafusion-comet] via GitHub
  • Re: [PR] fix: Fix double counting of shuffle bytes written [WIP] [datafusion-comet] via GitHub
  • Re: [PR] fix: Fix double counting of shuffle bytes written [WIP] [datafusion-comet] via GitHub
• Re: [PR] Refactor `power()` signature away from user defined [datafusion] via GitHub
  • Re: [PR] Refactor `power()` signature away from user defined [datafusion] via GitHub
  • Re: [PR] Refactor `power()` signature away from user defined [datafusion] via GitHub
  • Re: [PR] Refactor `power()` signature away from user defined [datafusion] via GitHub
• [PR] fix: array to array cast [datafusion-comet] via GitHub
  • Re: [PR] fix: array to array cast [datafusion-comet] via GitHub
  • Re: [PR] fix: array to array cast [datafusion-comet] via GitHub
  • Re: [PR] fix: array to array cast [datafusion-comet] via GitHub
• Re: [PR] Testing [datafusion] via GitHub
• [PR] chore: enforce clippy::allow_attributes for spark,sql,sustrait [datafusion] via GitHub
  • Re: [PR] chore: enforce clippy::allow_attributes for spark,sql,sustrait [datafusion] via GitHub
  • Re: [PR] chore: enforce clippy::allow_attributes for spark,sql,sustrait [datafusion] via GitHub
• Re: [I] Attach `Diagnostic` to "invalid function argument types" error [datafusion] via GitHub
• [PR] Fix allow to skip middle optional named parameters [datafusion] via GitHub
• Re: [PR] Remove Whitespace Tokens from Parser [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Remove Whitespace Tokens from Parser [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Remove Whitespace Tokens from Parser [datafusion-sqlparser-rs] via GitHub
• [PR] Chore: refactor bit_not [datafusion-comet] via GitHub
  • Re: [PR] Chore: refactor bit_not [datafusion-comet] via GitHub
  • Re: [PR] Chore: refactor bit_not [datafusion-comet] via GitHub
  • Re: [PR] Chore: refactor bit_not [datafusion-comet] via GitHub
• Re: [PR] Extract source comments [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Extract source comments [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Extract source comments [datafusion-sqlparser-rs] via GitHub
• [PR] chore: fix return_field_from_args doc [datafusion] via GitHub
  • Re: [PR] chore: fix return_field_from_args doc [datafusion] via GitHub
  • Re: [PR] chore: fix return_field_from_args doc [datafusion] via GitHub
• [I] Sample code of return_field_from_args is misleading [datafusion] via GitHub
  • Re: [I] Sample code of return_field_from_args is misleading [datafusion] via GitHub
• [PR] feat: implement runtime_env and execution_props for FFI_Session [datafusion] via GitHub
  • Re: [PR] feat: implement runtime_env and execution_props for FFI_Session [datafusion] via GitHub
  • Re: [PR] feat: implement runtime_env and execution_props for FFI_Session [datafusion] via GitHub
  • Re: [PR] feat: implement runtime_env and execution_props for FFI_Session [datafusion] via GitHub
  • Re: [PR] feat: implement runtime_env and execution_props for FFI_Session [datafusion] via GitHub
  • Re: [PR] feat: implement runtime_env and execution_props for FFI_Session [datafusion] via GitHub
  • Re: [PR] feat: implement runtime_env and execution_props for FFI_Session [datafusion] via GitHub
• [PR] Iceberg rest [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
  • Re: [PR] feat: [iceberg] REST catalog support for CometNativeIcebergScan [datafusion-comet] via GitHub
• [I] Comet falls back to Spark for final hash aggregate in some cases when it could be supported [datafusion-comet] via GitHub
• [PR] Gene.bordegaray/2025/12/hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2025/12/hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2025/12/hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2025/12/hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2025/12/hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] Gene.bordegaray/2025/12/hash partitioning satisfies subset [datafusion] via GitHub

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