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• • Re: [PR] feat: add experimental native support for in-memory cache, disabled by default [datafusion-comet] via GitHub
  • Re: [PR] feat: add experimental native support for in-memory cache, disabled by default [datafusion-comet] via GitHub
  • Re: [PR] feat: add experimental native support for in-memory cache, disabled by default [datafusion-comet] via GitHub
  • Re: [PR] feat: add experimental native support for in-memory cache, disabled by default [datafusion-comet] via GitHub
• [PR] refactor: use Arrow timezone type [datafusion-comet] via GitHub
  • Re: [PR] refactor: use Arrow timezone type [datafusion-comet] via GitHub
  • Re: [PR] refactor: use Arrow timezone type [datafusion-comet] via GitHub
  • Re: [PR] refactor: use Arrow timezone type [datafusion-comet] via GitHub
  • Re: [PR] refactor: use Arrow timezone type [datafusion-comet] via GitHub
  • Re: [PR] refactor: use Arrow timezone type [datafusion-comet] via GitHub
  • Re: [PR] refactor: use Arrow timezone type [datafusion-comet] via GitHub
• [I] [EPIC] Optimize native cast expression kernels [datafusion-comet] via GitHub
• Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
  • Re: [PR] [branch-54] Fix evaluation of lambda with multiple parameters when some are unused (backport of #22853, adapted) [datafusion] via GitHub
• Re: [PR] Add transform_values UDF [datafusion] via GitHub
• Re: [I] Planning time for queries with many columns with union and order by is very slow [datafusion] via GitHub
• Re: [PR] docs: add an agent skill for auditing datafusion-spark expressions [datafusion] via GitHub
• Re: [I] RANGE window frame boundary overflow diverges from Spark for DATE and DECIMAL ORDER BY [datafusion-comet] via GitHub
  • Re: [I] RANGE window frame boundary overflow diverges from Spark for DATE and DECIMAL ORDER BY [datafusion-comet] via GitHub
  • Re: [I] RANGE window frame boundary overflow diverges from Spark for DATE and DECIMAL ORDER BY [datafusion-comet] via GitHub
• Re: [PR] Fill in missing utf8view support in function type coercion [datafusion] via GitHub
• Re: [I] coerced_from in functions.rs seems to be missing Utf8View in some cases [datafusion] via GitHub
• [PR] fix: honour Spark's legacy `null IN ()` behavior [datafusion-comet] via GitHub
  • Re: [PR] fix: honour Spark's legacy `null IN ()` behavior [datafusion-comet] via GitHub
• [PR] chore: start 1.1.0 development [datafusion-comet] via GitHub
  • Re: [PR] chore: start 1.1.0 development [datafusion-comet] via GitHub
  • Re: [PR] chore: start 1.1.0 development [datafusion-comet] via GitHub
  • [PR] chore: start 1.1.0 development [datafusion-comet] via GitHub
  • Re: [PR] chore: start 1.1.0 development [datafusion-comet] via GitHub
• [I] Add native support for CollectMetricsExec (df.observe) to preserve stage fusion [datafusion-comet] via GitHub
• [I] Support inline and stack generators in GenerateExec [datafusion-comet] via GitHub
• [I] Accelerate row-level MERGE / UPDATE / DELETE plans (MergeRowsExec, ReplaceDataExec, WriteDeltaExec) [datafusion-comet] via GitHub
  • Re: [I] Accelerate row-level MERGE / UPDATE / DELETE plans (MergeRowsExec, ReplaceDataExec, WriteDeltaExec) [datafusion-comet] via GitHub
• [I] Extend native Arrow UDF path to grouped-aggregate, window, and applyInArrow Python operators [datafusion-comet] via GitHub
  • Re: [I] Extend native Arrow UDF path to grouped-aggregate, window, and applyInArrow Python operators [datafusion-comet] via GitHub
• [I] Accelerate DataSource V2 writes (AppendDataExec, OverwriteByExpressionExec, OverwritePartitionsDynamicExec) [datafusion-comet] via GitHub
• Re: [I] SIMILAR TO: SQL planner rejects non-literal LargeUtf8 / Utf8View patterns [datafusion] via GitHub
• Re: [I] `array_agg()` performance [datafusion] via GitHub
• [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
  • Re: [PR] Add dfbench statistics command [datafusion] via GitHub
• Re: [PR] Optimize Spark hex null handling [datafusion] via GitHub
  • Re: [PR] Optimize Spark hex null handling [datafusion] via GitHub
  • Re: [PR] Optimize Spark hex null handling [datafusion] via GitHub
• Re: [I] Replace `BufferBuilder<u8>` with `Vec<u8>` [datafusion] via GitHub
  • Re: [I] Replace `BufferBuilder<u8>` with `Vec<u8>` [datafusion] via GitHub
  • Re: [I] Replace `BufferBuilder<u8>` with `Vec<u8>` [datafusion] via GitHub
  • Re: [I] Replace `BufferBuilder<u8>` with `Vec<u8>` [datafusion] via GitHub
• [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
  • Re: [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
  • Re: [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
  • Re: [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
  • Re: [I] [Status Update] Simplifing Streams to be more textbook-like and have less state while keeping the same perf [datafusion] via GitHub
• Re: [I] Extend aggregation fuzz testing with memory-limit tests [datafusion] via GitHub
  • Re: [I] Extend aggregation fuzz testing with memory-limit tests [datafusion] via GitHub
  • Re: [I] Extend aggregation fuzz testing with memory-limit tests [datafusion] via GitHub
• [PR] test: improve `gcd` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `gcd` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `gcd` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `gcd` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `gcd` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `gcd` sqllogictest coverage [datafusion] via GitHub
• [PR] test: improve `round` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `round` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `round` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `round` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `round` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `round` sqllogictest coverage [datafusion] via GitHub
• [PR] test: improve `array_distance` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `array_distance` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `array_distance` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `array_distance` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `array_distance` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `array_distance` sqllogictest coverage [datafusion] via GitHub
• [PR] test: improve `find_in_set` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `find_in_set` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `find_in_set` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `find_in_set` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `find_in_set` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `find_in_set` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `find_in_set` sqllogictest coverage [datafusion] via GitHub
• [PR] test: improve `lpad` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `lpad` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `lpad` sqllogictest coverage [datafusion] via GitHub
• [PR] test: improve `rpad` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `rpad` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `rpad` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `rpad` sqllogictest coverage [datafusion] via GitHub
  • Re: [PR] test: improve `rpad` sqllogictest coverage [datafusion] via GitHub
• [PR] feat: drop generator on error [datafusion] via GitHub
  • Re: [PR] feat: drop generator on error [datafusion] via GitHub
  • Re: [PR] feat: drop generator on error [datafusion] via GitHub
  • Re: [PR] feat: drop generator on error to free memory faster [datafusion] via GitHub
  • Re: [PR] feat: drop generator on error to free memory faster [datafusion] via GitHub
  • Re: [PR] feat: drop generator on error to free memory faster [datafusion] via GitHub
  • Re: [PR] feat: drop generator on error to free memory faster [datafusion] via GitHub
• [PR] fix: preserve dictionary-value nulls in scalar regex operators [datafusion] via GitHub
  • Re: [PR] fix: preserve dictionary-value nulls in scalar regex operators [datafusion] via GitHub
  • Re: [PR] fix: preserve dictionary-value nulls in scalar regex operators [datafusion] via GitHub
  • Re: [PR] fix: preserve dictionary-value nulls in scalar regex operators [datafusion] via GitHub
  • Re: [PR] fix: preserve dictionary-value nulls in scalar regex operators [datafusion] via GitHub
• Re: [I] Missing field metadata for projections during physical planning [datafusion] via GitHub
  • Re: [I] Missing field metadata for projections during physical planning [datafusion] via GitHub
• [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Support spilling for single mode aggregation [datafusion] via GitHub
• Re: [PR] feat: make `date_part` always return Float64 [datafusion] via GitHub
• Re: [PR] fix: preserve fractional seconds in 'second' and 'millisecond' [datafusion] via GitHub
• [PR] perf: precompile formats in to_time [datafusion] via GitHub
  • Re: [PR] perf: precompile formats in to_time [datafusion] via GitHub
  • Re: [PR] perf: precompile formats in to_time [datafusion] via GitHub
  • Re: [PR] perf: precompile formats in to_time [datafusion] via GitHub
  • Re: [PR] perf: precompile formats in to_time [datafusion] via GitHub
  • Re: [PR] perf: precompile formats in to_time [datafusion] via GitHub
• Re: [I] Thread `PhysicalOptimizerContext` through `join_selection` stats helpers (CBO extension pattern) [datafusion] via GitHub
• [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): ValueIndexExec + ValueIndexReader + shuffle FileWriter switch [datafusion-ballista] via GitHub
• Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
• [I] Preserve dictionary-value nulls in scalar regex operators [datafusion] via GitHub
  • Re: [I] Preserve dictionary-value nulls in scalar regex operators [datafusion] via GitHub
• Re: [PR] feat(physical-plan): generic Rows-backed GroupColumn keeps mixed schemas on the column-wise path [datafusion] via GitHub
• [PR] feat: add Spark-compatible atan2 function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible atan2 function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible atan2 function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible atan2 function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible atan2 function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible atan2 function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible atan2 function [datafusion] via GitHub
• [I] Implement Spark-compatible atan2 function [datafusion] via GitHub
  • Re: [I] Implement Spark-compatible atan2 function [datafusion] via GitHub
  • Re: [I] Implement Spark-compatible atan2 function [datafusion] via GitHub
• [PR] feat: recognize .arrows as an Arrow IPC stream extension [datafusion] via GitHub
  • Re: [PR] feat: recognize .arrows as an Arrow IPC stream extension [datafusion] via GitHub
• [I] Support .arrows extension for Arrow IPC stream files [datafusion] via GitHub
  • Re: [I] Support .arrows extension for Arrow IPC stream files [datafusion] via GitHub
• Re: [I] Add an end-to-end HA chaos harness: the scheduler's fault-tolerance paths are never tested on a real cluster [datafusion-ballista] via GitHub
• [PR] perf: prototype allocation-free direct columnar-to-row converter [datafusion-comet] via GitHub
• [PR] chore(ci): bump taiki-e/install-action from 2.85.2 to 2.85.3 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.85.2 to 2.85.3 [datafusion-ballista] via GitHub
• Re: [I] [Feature] Support Spark expression: years [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: years [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: months [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: months [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: window_time [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: window_time [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: time_window [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: time_window [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: current_batch_timestamp [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: current_batch_timestamp [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: percentile_cont [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: percentile_cont [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: datetime_sub [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: datetime_sub [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: try_make_timestamp [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: try_make_timestamp [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: try_make_interval [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: try_make_interval [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: parse_to_timestamp [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: parse_to_timestamp [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: parse_to_date [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: parse_to_date [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: array_binary_search [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: array_binary_search [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: subtract_times [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: subtract_times [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: seconds_of_time_with_fraction [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: seconds_of_time_with_fraction [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: seconds_of_time [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: seconds_of_time [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: minutes_of_time [datafusion-comet] via GitHub

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