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• • Re: [PR] Add lambda substrait support [datafusion] via GitHub
  • Re: [PR] Add lambda substrait support [datafusion] via GitHub
  • Re: [PR] Add lambda substrait support [datafusion] via GitHub
  • Re: [PR] Add lambda substrait support [datafusion] via GitHub
  • Re: [PR] Add lambda substrait support [datafusion] via GitHub
  • Re: [PR] Add lambda substrait support [datafusion] via GitHub
  • Re: [PR] Add lambda substrait support [datafusion] via GitHub
• Re: [D] DISCUSSION: Apache DataFusion New York Meetup May 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Apache DataFusion New York Meetup May 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Apache DataFusion New York Meetup May 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Apache DataFusion New York Meetup May 2026 [datafusion] via GitHub
• [D] DataFusion-Federation: Union Flattening Across Executors [datafusion] via GitHub
• Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
  • Re: [PR] Call take arrays once per repartitioned input batch [datafusion] via GitHub
• [PR] feat(dataframe): add executeStream(allocator) for incremental batch iteration [datafusion-java] via GitHub
  • Re: [PR] feat(dataframe): add executeStream(allocator) for incremental batch iteration [datafusion-java] via GitHub
  • Re: [PR] feat(dataframe): add executeStream(allocator) for incremental batch iteration [datafusion-java] via GitHub
  • Re: [PR] feat(dataframe): add executeStream(allocator) for incremental batch iteration [datafusion-java] via GitHub
  • Re: [PR] feat(dataframe): add executeStream(allocator) for incremental batch iteration [datafusion-java] via GitHub
  • Re: [PR] feat(dataframe): add executeStream(allocator) for incremental batch iteration [datafusion-java] via GitHub
• [PR] fix: REST API does not show running jobs [datafusion-ballista] via GitHub
  • Re: [PR] fix: REST API does not show running jobs [datafusion-ballista] via GitHub
  • Re: [PR] fix: REST API does not show running jobs [datafusion-ballista] via GitHub
  • Re: [PR] fix: REST API does not show running jobs [datafusion-ballista] via GitHub
  • Re: [PR] fix: REST API does not show running jobs [datafusion-ballista] via GitHub
  • Re: [PR] fix: REST API does not show running jobs [datafusion-ballista] via GitHub
  • Re: [PR] fix: REST API does not show running jobs [datafusion-ballista] via GitHub
  • Re: [PR] fix: REST API does not show running jobs [datafusion-ballista] via GitHub
• Re: [I] REST API does not show running jobs [datafusion-ballista] via GitHub
  • Re: [I] REST API does not show running jobs [datafusion-ballista] via GitHub
• Re: [PR] fix: reject readBatch(0) in ArrowConstantColumnReader [datafusion-comet] via GitHub
  • Re: [PR] fix: reject readBatch(0) in ArrowConstantColumnReader [datafusion-comet] via GitHub
  • Re: [PR] fix: reject readBatch(0) in ArrowConstantColumnReader [datafusion-comet] via GitHub
• Re: [PR] feat: Enable expressions as default value in lead/lag function [datafusion] via GitHub
  • Re: [PR] feat: Enable expressions as default value in lead/lag function [datafusion] via GitHub
• [I] feat(dataframe): add executeStream(allocator) for incremental batch iteration [datafusion-java] via GitHub
  • Re: [I] feat(dataframe): add executeStream(allocator) for incremental batch iteration [datafusion-java] via GitHub
• [I] CREATE TABLE AS not checking column unicity [datafusion] via GitHub
  • Re: [I] CREATE TABLE AS not checking column unicity [datafusion] via GitHub
  • Re: [I] CREATE TABLE AS not checking column unicity [datafusion] via GitHub
  • Re: [I] CREATE TABLE AS not checking column unicity [datafusion] via GitHub
• [PR] Refactor Spark `format_string` numeric `%c` conversion dispatch [datafusion] via GitHub
  • Re: [PR] Refactor Spark `format_string` numeric `%c` conversion dispatch [datafusion] via GitHub
  • Re: [PR] Refactor Spark `format_string` numeric `%c` conversion dispatch [datafusion] via GitHub
• [PR] fix: reduce memory allocation overhead during partial aggregation ear… [datafusion] via GitHub
  • Re: [PR] fix: reduce memory allocation overhead during partial aggregation ear… [datafusion] via GitHub
• [I] Extra memory allocated during partial aggregation early emit during OOM handling [datafusion] via GitHub
  • Re: [I] Extra memory allocated during partial aggregation early emit during OOM handling [datafusion] via GitHub
• Re: [PR] Minor: Disallow async function in lambdas [datafusion] via GitHub
• [I] Refactor: Centralize numeric `%c` formatting dispatch in format_string.rs [datafusion] via GitHub
• Re: [PR] feat: eliminate GlobalLimitExec when input statistics prove limit is already satisfied [datafusion] via GitHub
  • Re: [PR] feat: eliminate GlobalLimitExec when input statistics prove limit is already satisfied [datafusion] via GitHub
  • Re: [PR] feat: eliminate GlobalLimitExec when input statistics prove limit is already satisfied [datafusion] via GitHub
  • Re: [PR] feat: eliminate GlobalLimitExec when input statistics prove limit is already satisfied [datafusion] via GitHub
• Re: [PR] Track spill read-back memory in SMJ [datafusion] via GitHub
  • Re: [PR] Track spill read-back memory in SMJ [datafusion] via GitHub
  • Re: [PR] Track spill read-back memory in SMJ [datafusion] via GitHub
  • Re: [PR] Track spill read-back memory in SMJ [datafusion] via GitHub
• [PR] Add blog: Sort Pushdown in DataFusion: Skip Sorts, Skip I/O [datafusion-site] via GitHub
• Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
  • Re: [PR] [PoC] perf: optimize group-only group-by case for primitive cases (clickbench q4) [datafusion] via GitHub
• Re: [PR] chore(deps): bump pytest from 9.0.2 to 9.0.3 in /python [datafusion-ballista] via GitHub
• [PR] feat(builder): expose ConfigOptions.set/get as setOption / setOptions / getOption [datafusion-java] via GitHub
  • Re: [PR] feat(builder): expose ConfigOptions.set/get as setOption / setOptions / getOption [datafusion-java] via GitHub
  • Re: [PR] feat(builder): expose ConfigOptions.set/get as setOption / setOptions / getOption [datafusion-java] via GitHub
  • Re: [PR] feat(builder): expose ConfigOptions.set/get as setOption / setOptions / getOption [datafusion-java] via GitHub
• Re: [PR] bench: run array_replace kernels in benchmark [datafusion] via GitHub
  • Re: [PR] bench: run array_replace kernels in benchmark [datafusion] via GitHub
  • Re: [PR] bench: run array_replace kernels in benchmark [datafusion] via GitHub
  • Re: [PR] bench: run array_replace kernels in benchmark [datafusion] via GitHub
  • Re: [PR] bench: run array_replace kernels in benchmark [datafusion] via GitHub
• Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
  • Re: [PR] minor: make HigherOrderSignature less error-prone [datafusion] via GitHub
• Re: [PR] Replace ANY/ALL CASE planning with array_has/min/max desugaring [datafusion] via GitHub
  • Re: [PR] Replace ANY/ALL CASE planning with array_has/min/max desugaring [datafusion] via GitHub
  • Re: [PR] Replace ANY/ALL CASE planning with array_has/min/max desugaring [datafusion] via GitHub
• Re: [PR] ClickHouse: Support scalar expressions in WITH clause [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
  • Re: [PR] Preserve recursive CTE nullability across logical and physical planning [datafusion] via GitHub
• Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
  • Re: [PR] perf: reuse mask in `truncate_list_nulls` and avoid counting all true bits [datafusion] via GitHub
• Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
  • Re: [PR] Compact more aggressively in TopK based upon memory usage [datafusion] via GitHub
• Re: [PR] Refactor scalar min/max dispatch into function-based helpers [datafusion] via GitHub
  • Re: [PR] Refactor scalar min/max dispatch into function-based helpers [datafusion] via GitHub
  • Re: [PR] Refactor scalar min/max dispatch into function-based helpers [datafusion] via GitHub
• Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub
  • Re: [PR] [Experiment] Adaptive filter pushdown [datafusion] via GitHub

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