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• • Re: [PR] feat: expose arrow_field, arrow_try_cast, cast_to_type, with_metadata [datafusion-python] via GitHub
  • Re: [PR] feat: expose arrow_field, arrow_try_cast, cast_to_type, with_metadata [datafusion-python] via GitHub
  • Re: [PR] feat: expose arrow_field, arrow_try_cast, cast_to_type, with_metadata [datafusion-python] via GitHub
• [PR] feat: expose array_compact, array_normalize, cosine_distance, inner_product [datafusion-python] via GitHub
  • Re: [PR] feat: expose array_compact, array_normalize, cosine_distance, inner_product [datafusion-python] via GitHub
  • Re: [PR] feat: expose array_compact, array_normalize, cosine_distance, inner_product [datafusion-python] via GitHub
  • Re: [PR] feat: expose array_compact, array_normalize, cosine_distance, inner_product [datafusion-python] via GitHub
• Re: [PR] fix: [branch-0.16] prevent native sort crash for Struct(Map(...)) keys [datafusion-comet] via GitHub
• Re: [PR] feat: add native support for pmod expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for pmod expression [datafusion-comet] via GitHub
• Re: [PR] feat: custom Rust UDFs [experimental] [skip ci] [datafusion-comet] via GitHub
  • Re: [PR] feat: custom Rust UDFs [experimental] [skip ci] [datafusion-comet] via GitHub
• Re: [I] [Bug] next_day does not throw under spark.sql.ansi.enabled=true [datafusion-comet] via GitHub
• Re: [PR] fix: honor ANSI mode for make_date/next_day and stop next_day trimming [datafusion-comet] via GitHub
• Re: [I] [Bug] make_date does not throw under spark.sql.ansi.enabled=true [datafusion-comet] via GitHub
• Re: [I] [Bug] next_day trims whitespace from dayOfWeek; Spark does not [datafusion-comet] via GitHub
• [PR] test: cover array date cast fallback [datafusion-comet] via GitHub
  • Re: [PR] test: cover array date cast fallback [datafusion-comet] via GitHub
• Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
  • Re: [I] Reduce Github Action Usage [datafusion] via GitHub
• Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
• [PR] feat: support StringSplitSQL for split_part [datafusion-comet] via GitHub
  • Re: [PR] feat: support StringSplitSQL for split_part [datafusion-comet] via GitHub
  • Re: [PR] feat: support StringSplitSQL for split_part [datafusion-comet] via GitHub
  • Re: [PR] feat: support StringSplitSQL for split_part [datafusion-comet] via GitHub
  • Re: [PR] feat: support StringSplitSQL for split_part [datafusion-comet] via GitHub
• [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
  • Re: [PR] fix: Scale semi/anti-join column stats by estimated row count [datafusion] via GitHub
• Re: [PR] feat: add Comet CachedBatchSerializer for native in-memory cache [datafusion-comet] via GitHub
• Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
  • Re: [I] Add csharp support [datafusion] via GitHub
• Re: [I] Unambiguous Column Reference Error Not Triggered in SQL Query [datafusion] via GitHub
• Re: [I] SMALLINT addition overflow should error instead of silently wrapping [datafusion] via GitHub
• Re: [I] Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
• [PR] fix: remove summary frontmatter from Comet EKS blog post [datafusion-site] via GitHub
  • Re: [PR] fix: remove summary frontmatter from Comet EKS blog post [datafusion-site] via GitHub
• Re: [I] Explore options for accelerating InMemoryTableScanExec [datafusion-comet] via GitHub
• [PR] Add native support for in-memory cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
• Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
  • Re: [PR] Add map_transform UDF [datafusion] via GitHub
• [I] Join per-column stats not scaled with estimated row count [datafusion] via GitHub
  • Re: [I] Join per-column stats not scaled with estimated row count [datafusion] via GitHub
• Re: [PR] bench: add predicate_eval SQL micro-benchmark suite for conjunctive filter evaluation [datafusion] via GitHub
  • Re: [PR] bench: add predicate_eval SQL micro-benchmark suite for conjunctive filter evaluation [datafusion] via GitHub
  • Re: [PR] bench: add predicate_eval SQL micro-benchmark suite for conjunctive filter evaluation [datafusion] via GitHub
  • Re: [PR] bench: add predicate_eval SQL micro-benchmark suite for conjunctive filter evaluation [datafusion] via GitHub
  • Re: [PR] bench: add predicate_eval SQL micro-benchmark suite for conjunctive filter evaluation [datafusion] via GitHub
• Re: [I] Reorder boolean expressions (including filter predicates) according to evaluation cost / selectivity [datafusion] via GitHub
• Re: [PR] docs: revise OptimizerRule trait method descriptions [datafusion] via GitHub
  • Re: [PR] docs: revise OptimizerRule trait method descriptions [datafusion] via GitHub
  • Re: [PR] docs: revise OptimizerRule trait method descriptions [datafusion] via GitHub
  • Re: [PR] docs: revise OptimizerRule trait method descriptions [datafusion] via GitHub
• [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
  • Re: [I] Comet native Iceberg scan duplicates rows when splitting a single-row-group Parquet file into multiple byte-range tasks [datafusion-comet] via GitHub
• [PR] test: benchmarks and SLT tests for push-down TopK through join [datafusion] via GitHub
  • Re: [PR] test: benchmarks and SLT tests for push-down TopK through join [datafusion] via GitHub
  • Re: [PR] test: benchmarks and SLT tests for push-down TopK through join [datafusion] via GitHub
  • Re: [PR] test: benchmarks and SLT tests for push-down TopK through join [datafusion] via GitHub
• Re: [PR] fix factorial(21) should not overflow when PostgreSQL returns a numeric answer [datafusion] via GitHub
• Re: [PR] fix: SMALLINT addition overflow should error instead of silently wrapping [datafusion] via GitHub
• Re: [PR] fix: raise AmbiguousReference error for duplicate column names in subquery [datafusion] via GitHub
• Re: [PR] fix: UNIQUE constraint with NULLs incorrectly collapses GROUP BY groups [datafusion] via GitHub
  • Re: [PR] fix: UNIQUE constraint with NULLs incorrectly collapses GROUP BY groups [datafusion] via GitHub
• Re: [PR] feat: Support Expanding OR Conditions in INNER JOIN into Multiple Mutually Exclusive Branches [datafusion] via GitHub
• [PR] fix: timestamp comparisons to coerce to finer unit [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
  • Re: [PR] fix: preserve timestamp precision when coercing mixed time units [datafusion] via GitHub
• Re: [PR] Fix DataFusion drops grouped MIN/MAX rows with NULL sort keys under ORDER BY + LIMIT [datafusion] via GitHub
• Re: [I] panic: date_bin overflows scaling extreme Timestamp(Second) source [datafusion] via GitHub
• Re: [PR] Optimize arrays_zip for perfectly aligned arrays [datafusion] via GitHub
  • Re: [PR] Optimize arrays_zip for perfectly aligned arrays [datafusion] via GitHub
• Re: [I] Extraneous casts added due to overly strict type comparison [datafusion] via GitHub
• Re: [I] PostgreSQL compatibility: `replace` with an empty search string should be a no-op [datafusion] via GitHub
• Re: [PR] fix: make replace empty search string a no-op [datafusion] via GitHub
• Re: [I] `power(decimal, -integer)` is incorrect [datafusion] via GitHub
• Re: [I] `power(decimal, integer)` overflow for moderate exponents [datafusion] via GitHub
• Re: [I] Optimize `arrays_zip` to avoid row-by-row copying in the perfect-zip case [datafusion] via GitHub
• Re: [I] Expose physical plan optimizer [datafusion-python] via GitHub
• Re: [PR] feat: import user-defined physical optimizer rules over FFI [datafusion-python] via GitHub
  • Re: [PR] feat: import user-defined physical optimizer rules over FFI [datafusion-python] via GitHub
• Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
  • Re: [PR] feat(aggregate): cost-aware partial-aggregation skip (opt-in) [datafusion] via GitHub
• Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
• Re: [PR] perf(optimizer): EliminateCrossJoin fast-path for join-free plans [datafusion] via GitHub
• Re: [I] Concurrent cache misses on the same path trigger duplicate metadata loads in FileMetadataCache [datafusion] via GitHub
  • Re: [I] Concurrent cache misses on the same path trigger duplicate metadata loads in FileMetadataCache [datafusion] via GitHub
  • Re: [I] Concurrent cache misses on the same path trigger duplicate metadata loads in FileMetadataCache [datafusion] via GitHub
• [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
  • Re: [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
  • Re: [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
  • Re: [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
  • Re: [PR] fix: Skip `fork` and `forkserver` on `win32` [datafusion-python] via GitHub
• Re: [PR] feat: add max_row_group_bytes option to ParquetOptions [datafusion] via GitHub
  • Re: [PR] feat: add max_row_group_bytes option to ParquetOptions [datafusion] via GitHub
  • Re: [PR] feat: add max_row_group_bytes option to ParquetOptions [datafusion] via GitHub
  • Re: [PR] feat: add max_row_group_bytes option to ParquetOptions [datafusion] via GitHub
• Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
  • Re: [PR] Unify LRU memory-limiting caches into one generic cache [datafusion] via GitHub
• Re: [I] Fix memory accounting in Datafusion [datafusion] via GitHub
• Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
  • Re: [I] Hash aggregation produces batches reporting huge memory size [datafusion] via GitHub
• Re: [I] Incorrect memory accounting in `array_agg` function [datafusion] via GitHub
  • Re: [I] Incorrect memory accounting in `array_agg` function [datafusion] via GitHub
  • Re: [I] Incorrect memory accounting in `array_agg` function [datafusion] via GitHub
• Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
• Re: [I] More accurate memory accounting in external sort [datafusion] via GitHub
• [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub
  • Re: [I] [EPIC] A collection of Memory Accounting Limitations and Improvements [datafusion] via GitHub

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