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• • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
  • Re: [PR] POC: batch-granular Parquet scans with the push decoder and scan_plan read-ahead [datafusion] via GitHub
• Re: [I] Optimize `WideDecimalBinaryExpr`: skip the null-masking pass in non-ANSI mode when nothing overflows [datafusion-comet] via GitHub
• Re: [I] list_extract: replace per-row MutableArrayData gather with take and zip [datafusion-comet] via GitHub
• [PR] fix: Make default sort order nulls last [datafusion-python] via GitHub
• [I] Null treatment of `sort` does not follow DataFusion's default [datafusion-python] via GitHub
• [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
  • Re: [PR] perf: emit initial filter output sooner for dynamic pruning [datafusion] via GitHub
• [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
  • Re: [PR] Prototype: physical filter API (PhysicalFilter / FilterConjunct) with optional conjuncts [datafusion] via GitHub
• [I] Follow-ups for the IRSA web-identity credential provider [datafusion-comet] via GitHub
• [PR] fix: inject Comet session extension rules only once per session [datafusion-comet] via GitHub
  • Re: [PR] fix: inject Comet session extension rules only once per session [datafusion-comet] via GitHub
  • Re: [PR] fix: inject Comet session extension rules only once per session [datafusion-comet] via GitHub
  • Re: [PR] fix: inject Comet session extension rules only once per session [datafusion-comet] via GitHub
• [PR] ci: [branch-1.0] deploy the website only from main [datafusion-comet] via GitHub
  • Re: [PR] ci: [branch-1.0] deploy the website only from main [datafusion-comet] via GitHub
• Re: [I] Improve performance for roundrobin shuffle writes for nested schemas [datafusion-comet] via GitHub
• [PR] [branch-55] fix datafusion-cli CI: switch from minio to rustfs (#25706) [datafusion] via GitHub
  • Re: [PR] [branch-55] fix datafusion-cli CI: switch from minio to rustfs (#25706) [datafusion] via GitHub
  • Re: [PR] [branch-55] fix datafusion-cli CI: switch from minio to rustfs (#25706) [datafusion] via GitHub
  • Re: [PR] [branch-55] fix datafusion-cli CI: switch from minio to rustfs (#25706) [datafusion] via GitHub
• Re: [PR] refactor: centralize data type support predicates [datafusion-comet] via GitHub
• Re: [I] Centralize data-type support predicates so new types don't have to be added in multiple places [datafusion-comet] via GitHub
• Re: [I] Release DataFusion `55.1.0` (minor/patch) Release (Sep 2026) [datafusion] via GitHub
• [I] Release DataFusion `55.2.0` (patch) Release (Oct 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.2.0` (patch) Release (Oct 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.2.0` (patch) Release (Oct 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.2.0` (patch) Release (Oct 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.2.0` (patch) Release (Oct 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.2.0` (patch) Release (Oct 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.2.0` (patch) Release (Oct 2026) [datafusion] via GitHub
  • Re: [I] Release DataFusion `55.2.0` (patch) Release (Oct 2026) [datafusion] via GitHub
• [PR] fix: [branch-1.0] check each fair_unified reservation against its own share (#6205) [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-1.0] check each fair_unified reservation against its own share (#6205) [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-1.0] check each fair_unified reservation against its own share (#6205) [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-1.0] check each fair_unified reservation against its own share (#6205) [datafusion-comet] via GitHub
• [I] Add logging/inspection hook for physical plan before distributed transformations [datafusion] via GitHub
  • Re: [I] Add logging/inspection hook for physical plan before distributed transformations [datafusion] via GitHub
• [PR] docs: Make the preference for sqllogictest over Rust unit tests more visible [datafusion] via GitHub
  • Re: [PR] docs: Make the preference for sqllogictest over Rust unit tests more visible [datafusion] via GitHub
  • Re: [PR] docs: Make the preference for sqllogictest over Rust unit tests more visible [datafusion] via GitHub
  • Re: [PR] docs: Make the preference for sqllogictest over Rust unit tests more visible [datafusion] via GitHub
  • Re: [PR] docs: Make the preference for sqllogictest over Rust unit tests more visible [datafusion] via GitHub
• [PR] fix: [branch-1.0] size JVM shuffle pointer array growth from the array, not the data pages (#5907) [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-1.0] size JVM shuffle pointer array growth from the array, not the data pages (#5907) [datafusion-comet] via GitHub
• Re: [I] Plan-time static partition pruning for Range partitioning [datafusion] via GitHub
  • Re: [I] Plan-time static partition pruning for Range partitioning [datafusion] via GitHub
  • Re: [I] Plan-time static partition pruning for Range partitioning [datafusion] via GitHub
  • Re: [I] Plan-time static partition pruning for Range partitioning [datafusion] via GitHub
  • Re: [I] Plan-time static partition pruning for Range partitioning [datafusion] via GitHub
• [PR] feat: [branch-1.0] per-location credentials for the S3 credential SPI (#6031) [datafusion-comet] via GitHub
  • Re: [PR] feat: [branch-1.0] per-location credentials for the S3 credential SPI (#6031) [datafusion-comet] via GitHub
• Re: [PR] fix: delegate the remaining codec methods in ComposedPhysicalExtensionCodec [datafusion] via GitHub
  • Re: [PR] fix: delegate the remaining codec methods in ComposedPhysicalExtensionCodec [datafusion] via GitHub
  • Re: [PR] fix: delegate the remaining codec methods in ComposedPhysicalExtensionCodec [datafusion] via GitHub
• [PR] Fix panic in `PercentileContGroupsAccumulator::convert_to_state()` [datafusion] via GitHub
  • Re: [PR] Fix panic in `PercentileContGroupsAccumulator::convert_to_state()` [datafusion] via GitHub
  • Re: [PR] Fix panic in `PercentileContGroupsAccumulator::convert_to_state()` [datafusion] via GitHub
• Re: [I] Reduce allocations in approx_percentile QuantileSummaries merge and flush paths [datafusion-comet] via GitHub
• Re: [PR] feat: Lambda function support from DataFusion, illustrated with array_filter [datafusion-comet] via GitHub
  • Re: [PR] feat: Lambda function support from DataFusion, illustrated with array_filter [datafusion-comet] via GitHub
  • Re: [PR] feat: Lambda function support from DataFusion, illustrated with array_filter [datafusion-comet] via GitHub
  • Re: [PR] feat: Lambda function support from DataFusion, illustrated with array_filter [datafusion-comet] via GitHub
  • Re: [PR] feat: Lambda function support from DataFusion, illustrated with array_filter [datafusion-comet] via GitHub
• Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
  • Re: [PR] fix: deduplicate StringView/BinaryView buffer refs in CollectLeft Has... [datafusion] via GitHub
• [PR] perf: Optimize `array_filter` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_filter` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_filter` [datafusion] via GitHub
  • Re: [PR] perf: Optimize `array_filter` [datafusion] via GitHub
• Re: [I] S3 credential SPI: per-location credentials within a bucket [datafusion-comet] via GitHub
• Re: [PR] perf: track decimal overflow without rescanning results [datafusion-comet] via GitHub
  • Re: [PR] perf: track decimal overflow without rescanning results [datafusion-comet] via GitHub
• [I] Reduce retained buffer allocation when list_extract selects short nested arrays [datafusion-comet] via GitHub
• [I] Expr.over() on an aggregate silently drops order_by, null_treatment, filter, and distinct [datafusion-python] via GitHub
• Re: [PR] perf: optimize list_extract without defaults using Arrow take [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize list_extract without defaults using Arrow take [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize list_extract without defaults using Arrow take [datafusion-comet] via GitHub
• [PR] adaptive coalescer repartition [datafusion] via GitHub
  • Re: [PR] adaptive coalescer repartition [datafusion] via GitHub
  • Re: [PR] adaptive coalescer repartition [datafusion] via GitHub
  • Re: [PR] adaptive coalescer repartition [datafusion] via GitHub
  • Re: [PR] adaptive coalescer repartition [datafusion] via GitHub
  • Re: [PR] adaptive coalescer repartition [datafusion] via GitHub
  • Re: [PR] adaptive coalescer repartition [datafusion] via GitHub
  • Re: [PR] adaptive coalescer repartition [datafusion] via GitHub
  • Re: [PR] adaptive coalescer repartition [datafusion] via GitHub
  • Re: [PR] adaptive coalescer repartition [datafusion] via GitHub
• Re: [PR] Fix panic from `avg(x ORDER BY y)` (and more) [datafusion] via GitHub
• Re: [PR] feat: support reusable prepared hash-join builds [datafusion] via GitHub
  • Re: [PR] feat: support reusable prepared hash-join builds [datafusion] via GitHub
  • Re: [PR] feat: support reusable prepared hash-join builds [datafusion] via GitHub
• Re: [PR] fix: plan UNION of untyped aliased placeholders [datafusion] via GitHub

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