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• [PR] fix(sql): reject unsupported relation modifiers [datafusion] via GitHub
  • Re: [PR] fix(sql): reject unsupported relation modifiers [datafusion] via GitHub
• [PR] feat(sql): expose CTE scope to relation planners [datafusion] via GitHub
  • Re: [PR] feat(sql): expose CTE scope to relation planners [datafusion] via GitHub
  • Re: [PR] feat(sql): expose CTE scope to relation planners [datafusion] via GitHub
  • Re: [PR] feat(sql): expose CTE scope to relation planners [datafusion] via GitHub
  • Re: [PR] feat(sql): expose CTE scope to relation planners [datafusion] via GitHub
  • Re: [PR] feat(sql): expose CTE scope to relation planners [datafusion] via GitHub
  • Re: [PR] feat(sql): expose CTE scope to relation planners [datafusion] via GitHub
  • Re: [PR] feat(sql): expose CTE scope to relation planners [datafusion] via GitHub
• [PR] Refine and document AggregateExec metrics [datafusion] via GitHub
  • Re: [PR] Refine and document AggregateExec metrics [datafusion] via GitHub
• [PR] fix(examples): apply relation aliases once [datafusion] via GitHub
  • Re: [PR] fix(examples): apply relation aliases once [datafusion] via GitHub
• [I] Relation planning silently ignores unsupported table modifiers [datafusion] via GitHub
• [I] RelationPlanner TABLESAMPLE example applies relation aliases twice [datafusion] via GitHub
• Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
  • Re: [PR] Range partition on primitives. [datafusion] via GitHub
• [PR] [branch-55] fix: preserve provided arguments during FFI object construction (#24723) [datafusion] via GitHub
  • Re: [PR] [branch-55] fix: preserve provided arguments during FFI object construction (#24723) [datafusion] via GitHub
  • Re: [PR] [branch-55] fix: preserve provided arguments during FFI object construction (#24723) [datafusion] via GitHub
• Re: [PR] refactor(proto): destructure CASE and IN-list expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure CASE and IN-list expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure CASE and IN-list expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure CASE and IN-list expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure CASE and IN-list expression serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure CASE and IN-list expression serde hooks [datafusion] via GitHub
• Re: [PR] refactor(proto): destructure Arrow and Avro source serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure Arrow and Avro source serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure Arrow and Avro source serde hooks [datafusion] via GitHub
  • Re: [PR] refactor(proto): destructure Arrow and Avro source serde hooks [datafusion] via GitHub
• Re: [PR] fix: preserve provided arguments during FFI object construction [datafusion] via GitHub
  • Re: [PR] fix: preserve provided arguments during FFI object construction [datafusion] via GitHub
• Re: [PR] Adapt existing partitioning for unsatisfied inputs in co-partitioned joins [datafusion] via GitHub
  • Re: [PR] Adapt existing partitioning for unsatisfied inputs in co-partitioned joins [datafusion] via GitHub
  • Re: [PR] Adapt existing partitioning for unsatisfied inputs in co-partitioned joins [datafusion] via GitHub
  • Re: [PR] Adapt existing partitioning for unsatisfied inputs in co-partitioned joins [datafusion] via GitHub
  • Re: [PR] Adapt existing partitioning for unsatisfied inputs in co-partitioned joins [datafusion] via GitHub
• [PR] test: reject hyphenated UDF argument names [datafusion] via GitHub
  • Re: [PR] test: reject hyphenated UDF argument names [datafusion] via GitHub
  • Re: [PR] test: reject hyphenated UDF argument names [datafusion] via GitHub
• [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
  • Re: [PR] fix: prevent CSE from extracting window functions [datafusion] via GitHub
• Re: [I] Versioned documentation [datafusion] via GitHub
• Re: [PR] fix: charge accumulators' construction-time state to the memory pool in ungrouped aggregation [datafusion] via GitHub
  • Re: [PR] fix: charge accumulators' construction-time state to the memory pool in ungrouped aggregation [datafusion] via GitHub
  • Re: [PR] fix: charge accumulators' construction-time state to the memory pool in ungrouped aggregation [datafusion] via GitHub
  • Re: [PR] fix: charge accumulators' construction-time state to the memory pool in ungrouped aggregation [datafusion] via GitHub
  • Re: [PR] fix: charge accumulators' construction-time state to the memory pool in ungrouped aggregation [datafusion] via GitHub
  • Re: [PR] fix: charge accumulators' construction-time state to the memory pool in ungrouped aggregation [datafusion] via GitHub
• Re: [I] Compact `IN`-list pruning excludes `NOT IN` and NULL-containing lists [datafusion] via GitHub
  • Re: [I] Compact `IN`-list pruning excludes `NOT IN` and NULL-containing lists [datafusion] via GitHub
  • Re: [I] Compact `IN`-list pruning excludes `NOT IN` and NULL-containing lists [datafusion] via GitHub
  • Re: [I] Compact `IN`-list pruning excludes `NOT IN` and NULL-containing lists [datafusion] via GitHub
• Re: [I] CSE may extract Window functions into a Project node [datafusion] via GitHub
  • Re: [I] CSE may extract Window functions into a Project node [datafusion] via GitHub
• Re: [PR] fix: preserve nested projection expressions [datafusion] via GitHub
  • Re: [PR] fix: preserve nested projection expressions [datafusion] via GitHub
  • Re: [PR] fix: preserve nested projection expressions [datafusion] via GitHub
  • Re: [PR] fix: preserve nested projection expressions [datafusion] via GitHub
  • Re: [PR] fix: preserve nested projection expressions [datafusion] via GitHub
• [PR] docs: Upate governance page [datafusion] via GitHub
  • Re: [PR] docs: Upate governance page [datafusion] via GitHub
  • Re: [PR] docs: Upate governance page [datafusion] via GitHub
  • Re: [PR] docs: Upate governance page [datafusion] via GitHub
  • Re: [PR] docs: Upate governance page [datafusion] via GitHub
  • Re: [PR] docs: Upate governance page [datafusion] via GitHub
  • Re: [PR] docs: Upate governance page [datafusion] via GitHub
  • Re: [PR] docs: Upate governance page [datafusion] via GitHub
  • Re: [PR] docs: Upate governance page [datafusion] via GitHub
• Re: [I] Spurious cast to Uint8 inserted when coalesce is used in a context of a join [datafusion] via GitHub
• [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add grouped aggregate filter benchmarks [datafusion] via GitHub
• [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
  • Re: [PR] feat: support NullType output types in codegen dispatch [datafusion-comet] via GitHub
• Re: [PR] fix(proto): preserve AnalyzeExec metric types across serialization [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve AnalyzeExec metric types across serialization [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve AnalyzeExec metric types across serialization [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve AnalyzeExec metric types across serialization [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve AnalyzeExec metric types across serialization [datafusion] via GitHub
  • Re: [PR] fix(proto): preserve AnalyzeExec metric types across serialization [datafusion] via GitHub
• Re: [PR] Add DataFusion 55.0.0 release blog post [datafusion-site] via GitHub
  • Re: [PR] Add DataFusion 55.0.0 release blog post [datafusion-site] via GitHub
  • Re: [PR] Add DataFusion 55.0.0 release blog post [datafusion-site] via GitHub
  • Re: [PR] Add DataFusion 55.0.0 release blog post [datafusion-site] via GitHub
  • Re: [PR] Add DataFusion 55.0.0 release blog post [datafusion-site] via GitHub
• [I] Support NullType output types in codegen dispatch [datafusion-comet] via GitHub
• Re: [PR] fix: handle multibyte characters in physical plan tree renderer [datafusion] via GitHub
• [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion-comet] via GitHub
  • [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump the codeql-actions group with 2 updates [datafusion-comet] via GitHub
• Re: [I] [EPIC] Reduce binary size [datafusion] via GitHub
• [PR] chore(deps): bump actions/setup-java from 5 to 6 [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump actions/setup-java from 5 to 6 [datafusion-comet] via GitHub
• Re: [I] Incorrect filtering results when `collect_statistics = true` and column statistics are partially disabled [datafusion] via GitHub
• Re: [PR] feat: scheduler REST & GRPC return version headers [datafusion-ballista] via GitHub
• [PR] Read primitive values directly in branchless IN LIST filters [datafusion] via GitHub
  • Re: [PR] Read primitive values directly in branchless IN LIST filters [datafusion] via GitHub
  • Re: [PR] Read primitive values directly in branchless IN LIST filters [datafusion] via GitHub
  • Re: [PR] Read primitive values directly in branchless IN LIST filters [datafusion] via GitHub
  • Re: [PR] Read primitive values directly in branchless IN LIST filters [datafusion] via GitHub
  • Re: [PR] Read primitive values directly in branchless IN LIST filters [datafusion] via GitHub
• Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
  • Re: [PR] fix: validate parquet statistics config [datafusion] via GitHub
• Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
  • Re: [PR] bench: add window aggregate filter benchmarks [datafusion] via GitHub
• Re: [PR] Add support for dictionary for approx_distinct [datafusion] via GitHub
  • Re: [PR] Add support for dictionary for approx_distinct [datafusion] via GitHub
  • Re: [PR] Add support for dictionary for approx_distinct [datafusion] via GitHub
  • Re: [PR] Add support for dictionary for approx_distinct [datafusion] via GitHub
  • Re: [PR] Add support for dictionary for approx_distinct [datafusion] via GitHub
• Re: [I] [DISCUSS] Add open table format support. [datafusion-ballista] via GitHub
• Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
  • Re: [PR] feat(dataframe): improve DataFrame::from_columns input types (#24630) [datafusion] via GitHub
• Re: [PR] IN LIST: optimize Utf8View and BinaryView filters [datafusion] via GitHub
  • Re: [PR] IN LIST: optimize Utf8View and BinaryView filters [datafusion] via GitHub
  • Re: [PR] IN LIST: optimize Utf8View and BinaryView filters [datafusion] via GitHub
  • Re: [PR] IN LIST: optimize Utf8View and BinaryView filters [datafusion] via GitHub
• Re: [PR] perf(asof_join): cache ASOF join match comparator, drop per-row ScalarValue materialization [datafusion] via GitHub
  • Re: [PR] perf(asof_join): cache ASOF join match comparator, drop per-row ScalarValue materialization [datafusion] via GitHub
• Re: [PR] perf: evaluate elementwise scalar functions once per distinct dictionary value [datafusion] via GitHub
  • Re: [PR] perf: evaluate elementwise scalar functions once per distinct dictionary value [datafusion] via GitHub
• Re: [PR] perf(spark): reduce map deduplication allocations [datafusion] via GitHub
  • Re: [PR] perf(spark): reduce map deduplication allocations [datafusion] via GitHub
  • Re: [PR] perf(spark): reduce map deduplication allocations [datafusion] via GitHub
  • Re: [PR] perf(spark): reduce map deduplication allocations [datafusion] via GitHub
  • Re: [PR] perf(spark): reduce map deduplication allocations [datafusion] via GitHub
  • Re: [PR] perf(spark): reduce map deduplication allocations [datafusion] via GitHub
  • Re: [PR] perf(spark): reduce map deduplication allocations [datafusion] via GitHub
  • Re: [PR] perf(spark): reduce map deduplication allocations [datafusion] via GitHub
  • Re: [PR] perf(spark): reduce map deduplication allocations [datafusion] via GitHub
• Re: [PR] fix(catalog): apply a MemTable DELETE or UPDATE when the plan runs [datafusion] via GitHub
  • Re: [PR] fix(catalog): apply a MemTable DELETE or UPDATE when the plan runs [datafusion] via GitHub
• Re: [I] incorrect results when using NOT physical expression in `physical_expr::analyze` [datafusion] via GitHub
• Re: [PR] fix(physical-expr): stop false infeasibility report from Eq+FALSE in cp_solver [datafusion] via GitHub
• Re: [PR] Add per-aggregate metrics to non-grouped AggregateStream [datafusion] via GitHub
  • Re: [PR] Add per-aggregate metrics to non-grouped AggregateStream [datafusion] via GitHub
• Re: [PR] perf: replace PiecewiseMergeJoin's visited bitmap with a suffix watermark (~1.8x faster Left join) [datafusion] via GitHub

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