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• [PR] feat: support `arrays_zip` function [datafusion] via GitHub
• [PR] fix(substrait): correctly parse field references in subqueries [datafusion] via GitHub
• [I] Substrait consumer incorrectly parses references to outer query fields [datafusion] via GitHub
  • Re: [I] Substrait consumer incorrectly parses references to outer query fields [datafusion] via GitHub
• Re: [I] [Feature] Support Spark expression: decode [datafusion-comet] via GitHub
• [I] Discussion: Native Arrow Flight Shuffle Transport for DataFusion-Comet [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: encode [datafusion-comet] via GitHub
• [I] Panic in HashJoin with dictionary-encoded column in multi-column join key [datafusion] via GitHub
• Re: [I] Bug : Error running benchmarks with ANSI enabled [datafusion-comet] via GitHub
  • Re: [I] Bug : Error running benchmarks with ANSI enabled [datafusion-comet] via GitHub
• [PR] perf: testing iceberg-rust ArrowReader optimizations [iceberg] [datafusion-comet] via GitHub
• [PR] fix: Avoid unnecessary type casts in `concat_ws` [datafusion] via GitHub
• [I] Expose a way to process an Arrow IPC file (.feather) that cannot be materialized in RAM [datafusion] via GitHub
• [I] concat_ws does unnecessary type coercion [datafusion] via GitHub
  • Re: [I] concat_ws does unnecessary type coercion [datafusion] via GitHub
• [I] Native support int to Timestamp cast [datafusion-comet] via GitHub
  • Re: [I] Native support int to Timestamp cast [datafusion-comet] via GitHub
• Re: [I] Support array argument for `percentile_cont` aggregate function [datafusion] via GitHub
• [PR] feat: add to_time function [datafusion-python] via GitHub
• Re: [I] General framework to decorrelate the subqueries [datafusion] via GitHub
• Re: [I] [Feature] (All) logical optimizers should optimize subqueries [datafusion] via GitHub
  • Re: [I] [Feature] (All) logical optimizers should optimize subqueries [datafusion] via GitHub
• [PR] Fix decimal log precision for non-power values [datafusion] via GitHub
• [PR] fix: prevent duplicate alias collision with user-provided __datafusion_extracted names [datafusion] via GitHub
• [PR] Tp/df47 [datafusion] via GitHub
  • Re: [PR] Tp/df47 [datafusion] via GitHub
• [I] make_array coercion failure when argument is of type struct [datafusion] via GitHub
• [I] Optimizer rule error for ExtractLeafExpressions [datafusion] via GitHub
• Re: [I] Discussion: DataFusion Improvement Proposal (DIPs) Process? [datafusion] via GitHub
  • Re: [I] Discussion: DataFusion Improvement Proposal (DIPs) Process? [datafusion] via GitHub
• [PR] chore: bump Python version for RAT checking [datafusion-python] via GitHub
  • Re: [PR] chore: bump Python version for RAT checking [datafusion-python] via GitHub
• Re: [PR] Fix: map_from_arrays() with NULL inputs causes native crash [datafusion-comet] via GitHub
• [PR] ci: update pre-commit hooks, fix linting, and refresh dependencies [datafusion-python] via GitHub
  • Re: [PR] ci: update pre-commit hooks, fix linting, and refresh dependencies [datafusion-python] via GitHub
• [I] Improve integration tests to test push scheduler mode as well [datafusion-ballista] via GitHub
  • Re: [I] Improve integration tests to test push scheduler mode as well [datafusion-ballista] via GitHub
• [PR] perf: Optimize dynamic IN list evaluation with vectorized Arrow eq kernel [datafusion] via GitHub
  • Re: [PR] perf: Optimize dynamic IN list evaluation with vectorized Arrow eq kernel [datafusion] via GitHub
  • Re: [PR] perf: Optimize dynamic IN list evaluation with vectorized Arrow eq kernel [datafusion] via GitHub
• [I] Optimize dynamic IN list evaluation with vectorized Arrow eq kernel [datafusion] via GitHub
  • Re: [I] Optimize dynamic IN list evaluation with vectorized Arrow eq kernel [datafusion] via GitHub
• [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
  • Re: [PR] ci: run TPC-H benchmarks on a Kind Kubernetes cluster [datafusion-comet] via GitHub
• [PR] Resolve breaking change that set "supports_lambda_functions" on `GenericDialect` [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Resolve breaking change that set "supports_lambda_functions" on `GenericDialect` [datafusion-sqlparser-rs] via GitHub
• Re: [I] Add missing scalar functions [datafusion-python] via GitHub
• [PR] fix: Prefer numeric in type coercion for comparisons [datafusion] via GitHub
  • Re: [PR] fix: Prefer numeric in type coercion for comparisons [datafusion] via GitHub
  • Re: [PR] fix: Prefer numeric in type coercion for comparisons [datafusion] via GitHub
  • Re: [PR] fix: Prefer numeric in type coercion for comparisons [datafusion] via GitHub
  • Re: [PR] fix: Prefer numeric in type coercion for comparisons [datafusion] via GitHub
  • Re: [PR] fix: Prefer numeric in type coercion for comparisons [datafusion] via GitHub
  • Re: [PR] fix: Prefer numeric in type coercion for comparisons [datafusion] via GitHub
• [PR] Extended the Snowflake COPY INTO data-load select item parser to support nested semi-structured path traversal [datafusion-sqlparser-rs] via GitHub
• [I] SortExec(TopK) should create and update DynamicFilterPhysicalExpr even when input is already sorted [datafusion] via GitHub
  • Re: [I] SortExec(TopK) should create and update DynamicFilterPhysicalExpr even when input is already sorted [datafusion] via GitHub
  • Re: [I] SortExec(TopK) should create and update DynamicFilterPhysicalExpr even when input is already sorted [datafusion] via GitHub
• [PR] Added DISTSTYLE and DISTKEY keywords parsing for snowflake [datafusion-sqlparser-rs] via GitHub
• [PR] chore: Add native writer Spark tests CI pipeline [datafusion-comet] via GitHub
  • Re: [PR] chore: Add native writer Spark tests CI pipeline [datafusion-comet] via GitHub
  • Re: [PR] chore: Add native writer Spark tests CI pipeline [datafusion-comet] via GitHub
  • Re: [PR] chore: Add native writer Spark tests CI pipeline [datafusion-comet] via GitHub
  • Re: [PR] chore: Add native writer Spark tests CI pipeline [datafusion-comet] via GitHub
• [PR] chore(ci): use tpchgen-cli for generating the tpch dataset [datafusion-python] via GitHub
  • Re: [PR] chore(ci): use tpchgen-cli for generating the tpch dataset [datafusion-python] via GitHub
• Re: [I] [Feature] Support Spark expression: map [datafusion-comet] via GitHub
• [PR] fix: use try_shrink instead of shrink in try_resize [datafusion] via GitHub
• [PR] minor: update cargo dependencies [datafusion-python] via GitHub
  • Re: [PR] minor: update cargo dependencies [datafusion-python] via GitHub
• [PR] chore: Cleanup returning null arrays [datafusion] via GitHub
  • Re: [PR] chore: Cleanup returning null arrays [datafusion] via GitHub
  • Re: [PR] chore: Cleanup returning null arrays [datafusion] via GitHub
• Re: [I] Cannot do udaf that returns list of timestamps [datafusion-python] via GitHub
• Re: [I] Remove `From<String>` for `Column` [datafusion] via GitHub
• Re: [I] Count() and Count(Distinct )should accept multiple exprs [datafusion] via GitHub
  • Re: [I] Count() and Count(Distinct )should accept multiple exprs [datafusion] via GitHub
• Re: [PR] Fix infinite recursion in Session impl for SessionState [datafusion] via GitHub
  • Re: [PR] Fix infinite recursion in Session impl for SessionState [datafusion] via GitHub
  • Re: [PR] Fix infinite recursion in Session impl for SessionState [datafusion] via GitHub
• [PR] [Minor] Fix error messages for `shrink` and `try_shrink` [datafusion] via GitHub
  • Re: [PR] [Minor] Fix error messages for `shrink` and `try_shrink` [datafusion] via GitHub
  • Re: [PR] [Minor] Fix error messages for `shrink` and `try_shrink` [datafusion] via GitHub
  • Re: [PR] [Minor] Fix error messages for `shrink` and `try_shrink` [datafusion] via GitHub
• Re: [I] Optimize hash util map/union functions to hash only needed values [datafusion] via GitHub
• Re: [I] bug: Disable `DataFrame.cache()` for ballista [datafusion-ballista] via GitHub
• [PR] Disallow order by within ordered-set aggregate functions argument lis… [datafusion] via GitHub
  • Re: [PR] Disallow order by within ordered-set aggregate functions argument lis… [datafusion] via GitHub
  • Re: [PR] Disallow order by within ordered-set aggregate functions argument lis… [datafusion] via GitHub
• [I] ClickHouse: Parsing error for WITH statement using scalar expressions [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Don't allocate to compare string slices [datafusion] via GitHub
• Re: [I] Disallow `order by` within ordered-set aggregate functions argument lists [datafusion] via GitHub
• Re: [I] Native engine panics on scalar bit_count() [datafusion-comet] via GitHub
• Re: [I] Sort ClickBench data using 4GB on standard laptop (spilling) [datafusion] via GitHub
• [PR] chore(deps): bump actions/stale from 10.1.1 to 10.2.0 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump actions/stale from 10.1.1 to 10.2.0 [datafusion-sandbox] via GitHub
• [PR] chore(deps): bump maturin from 1.11.5 to 1.12.2 in /docs [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump maturin from 1.11.5 to 1.12.2 in /docs [datafusion-sandbox] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.67.13 to 2.68.2 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.67.13 to 2.68.2 [datafusion-sandbox] via GitHub
• [PR] fix: remove `scheduler_config_spec.toml` as its unused [datafusion-ballista] via GitHub
  • Re: [PR] fix: remove `scheduler_config_spec.toml` as its unused [datafusion-ballista] via GitHub
  • Re: [PR] fix: remove `scheduler_config_spec.toml` as it is unused [datafusion-ballista] via GitHub
• Re: [I] Memory use trait / methods / macros [datafusion] via GitHub
  • Re: [I] Memory use trait / methods / macros [datafusion] via GitHub
• [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has ~2.5x lower latency [datafusion-ballista] via GitHub
  • Re: [PR] feat: Make push scheduling policy default as it has lower latency [datafusion-ballista] via GitHub
• Re: [PR] Automatically generate examples documentation (#19294) [datafusion] via GitHub
  • Re: [PR] Automatically generate examples documentation (#19294) [datafusion] via GitHub
• [PR] feat: comet native scan improvements - Dynamic Partition Pruning [datafusion-comet] via GitHub
• [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [PR] test: Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
• [I] Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
  • Re: [I] Extend Spark Array functions: `array_repeat `, `shuffle` and `slice` test coverage [datafusion] via GitHub
• Re: [PR] Add Substrait roundtrip support for `RecursiveQuery` and recursive CTE scans [datafusion] via GitHub
• Re: [PR] feat: support named parameters for table functions [datafusion] via GitHub
• Re: [PR] Test upgrade to object store 0.13.0 [datafusion] via GitHub
• [I] Serialize dynamic filters across network boundaries [datafusion] via GitHub
  • Re: [I] Serialize dynamic filters across network boundaries [datafusion] via GitHub
• [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
  • Re: [PR] chore: CometConf change default batch size values [datafusion-comet] via GitHub
• [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
  • Re: [PR] perf: Skip RowFilter when all predicate columns are in the projection [datafusion] via GitHub
• [PR] wip [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters [datafusion] via GitHub
  • Re: [PR] proto: serialize and dedupe dynamic filters [datafusion] via GitHub

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