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• • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
  • Re: [PR] perf: simplify HashJoinExec dynamic filter, drop CASE routing [datafusion] via GitHub
• [I] Enable spark.comet.exec.localTableScan.enabled when running Spark SQL tests [datafusion-comet] via GitHub
• Re: [D] DISCUSSION: Boston Datafusion Meetup September 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Boston Datafusion Meetup September 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Boston Datafusion Meetup September 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Boston Datafusion Meetup September 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Boston Datafusion Meetup September 2026 [datafusion] via GitHub
  • Re: [D] DISCUSSION: Boston Datafusion Meetup September 2026 [datafusion] via GitHub
• [PR] deps: bump arrow and parquet to 58.3.0, fix page_util.rs after API change [datafusion-comet] via GitHub
  • Re: [PR] deps: bump arrow and parquet to 58.3.0 [datafusion-comet] via GitHub
• [PR] docs: user guide + runnable examples for distributing expressions (4/4) [datafusion-python] via GitHub
• [PR] feat: per-session Python UDF inlining toggle + sender ctx + strict refusal (3/4) [datafusion-python] via GitHub
  • Re: [PR] feat: Python UDFs: per-session inlining toggle and strict refusal setting [datafusion-python] via GitHub
  • Re: [PR] feat: Python UDFs: per-session inlining toggle and strict refusal setting [datafusion-python] via GitHub
  • Re: [PR] feat: Python UDFs: per-session inlining toggle and strict refusal setting [datafusion-python] via GitHub
• [PR] feat: inline encoding for Python aggregate and window UDFs (2/4) [datafusion-python] via GitHub
  • Re: [PR] feat: enable pickling for Python aggregate and window UDFs [datafusion-python] via GitHub
  • Re: [PR] feat: enable pickling for Python aggregate and window UDFs [datafusion-python] via GitHub
  • Re: [PR] feat: enable pickling for Python aggregate and window UDFs [datafusion-python] via GitHub
  • Re: [PR] feat: enable pickling for Python aggregate and window UDFs [datafusion-python] via GitHub
• [PR] feat: pickle support for Expr via inline scalar UDF encoding (1/4) [datafusion-python] via GitHub
  • Re: [PR] feat: enable pickling of most Expr except udaf and udwf [datafusion-python] via GitHub
  • Re: [PR] feat: enable pickling of most Expr except udaf and udwf [datafusion-python] via GitHub
  • Re: [PR] feat: enable pickling of most Expr except udaf and udwf [datafusion-python] via GitHub
  • Re: [PR] feat: enable pickling of most Expr except udaf and udwf [datafusion-python] via GitHub
• Re: [PR] feat: Credential provioder support [datafusion-comet] via GitHub
  • Re: [PR] feat: Credential provioder support [datafusion-comet] via GitHub
• Re: [I] [DISCUSSION] Extending Partitioning to Support More Variants [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Extending Partitioning to Support More Variants [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Extending Partitioning to Support More Variants [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Extending Partitioning to Support More Variants [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Extending Partitioning to Support More Variants [datafusion] via GitHub
• [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add expression partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add range partitioning enum variant [datafusion] via GitHub
  • Re: [PR] Add Physical `Partitioning::Range` enum variant [datafusion] via GitHub
  • Re: [PR] Add Physical `Partitioning::Range` enum variant [datafusion] via GitHub
  • Re: [PR] Add Physical `Partitioning::Range` enum variant [datafusion] via GitHub
  • Re: [PR] Add Physical `Partitioning::Range` enum variant [datafusion] via GitHub
  • Re: [PR] Add Physical `Partitioning::Range` enum variant [datafusion] via GitHub
• [PR] Validate arrow_cast time units [datafusion] via GitHub
• Re: [PR] feat: disable Comet by default when CometShuffleManager is not registered [datafusion-comet] via GitHub
  • Re: [PR] feat: disable Comet by default when CometShuffleManager is not registered [datafusion-comet] via GitHub
  • Re: [PR] feat: disable Comet by default when CometShuffleManager is not registered [datafusion-comet] via GitHub
  • Re: [PR] feat: disable Comet by default when CometShuffleManager is not registered [datafusion-comet] via GitHub
• [PR] perf: reclaim capacity in take_n during OOM-triggered partial-aggregation emit [datafusion] via GitHub
  • Re: [PR] perf: apply min-alloc split to ByteViewGroupValueBuilder::take_n (follow-up to #22165) [datafusion] via GitHub
  • Re: [PR] perf: apply min-alloc split to ByteViewGroupValueBuilder::take_n (follow-up to #22165) [datafusion] via GitHub
• Re: [PR] test: enable nested array cast coverage [datafusion-comet] via GitHub
  • Re: [PR] test: enable nested array cast coverage [datafusion-comet] via GitHub
  • Re: [PR] test: enable nested array cast coverage [datafusion-comet] via GitHub
  • Re: [PR] test: enable nested array cast coverage [datafusion-comet] via GitHub
• Re: [I] KEDA scaler `pending_jobs` metric appears insufficient for scaling due to rapid task assignment by scheduler [datafusion-ballista] via GitHub
  • Re: [I] KEDA scaler `pending_jobs` metric appears insufficient for scaling due to rapid task assignment by scheduler [datafusion-ballista] via GitHub
  • Re: [I] KEDA scaler `pending_jobs` metric appears insufficient for scaling due to rapid task assignment by scheduler [datafusion-ballista] via GitHub
  • Re: [I] KEDA scaler `pending_jobs` metric appears insufficient for scaling due to rapid task assignment by scheduler [datafusion-ballista] via GitHub
• Re: [PR] chore(deps): bump urllib3 from 2.6.3 to 2.7.0 [datafusion] via GitHub
• [PR] Handle EXECUTE without statement name [datafusion] via GitHub
  • Re: [PR] fix: Handle EXECUTE without statement name [datafusion] via GitHub
  • Re: [PR] fix: Handle EXECUTE without statement name [datafusion] via GitHub
  • Re: [PR] fix: Handle EXECUTE without statement name [datafusion] via GitHub
• Re: [PR] feat: introduce pluggable SpillFile trait and TempFileFactory for custom spill backends [datafusion] via GitHub
  • Re: [PR] feat: introduce pluggable SpillFile trait and TempFileFactory for custom spill backends [datafusion] via GitHub
  • Re: [PR] feat: introduce pluggable SpillFile trait and TempFileFactory for custom spill backends [datafusion] via GitHub
  • Re: [PR] feat: introduce pluggable SpillFile trait and TempFileFactory for custom spill backends [datafusion] via GitHub
  • Re: [PR] feat: introduce pluggable SpillFile trait and TempFileFactory for custom spill backends [datafusion] via GitHub
• Re: [I] Make parquet metrics use lazy-registration pattern [datafusion] via GitHub
• Re: [PR] Refactor parquet row filter setup [datafusion] via GitHub
  • Re: [PR] Refactor parquet row filter setup [datafusion] via GitHub
  • Re: [PR] Refactor parquet row filter setup [datafusion] via GitHub
  • Re: [PR] Refactor parquet row filter setup [datafusion] via GitHub
  • Re: [PR] Refactor parquet row filter setup [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] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
  • Re: [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
  • Re: [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
  • Re: [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
  • Re: [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
  • Re: [PR] Expose `ExecutionPlan` statistics across the FFI boundary [datafusion] via GitHub
• [PR] feat: support stateful CometUDFs [datafusion-comet] via GitHub
  • Re: [PR] feat: support stateful CometUDFs [datafusion-comet] via GitHub
• [PR] feat: reuse tree visitor to display tree for `LogicalPlan` [datafusion] via GitHub
  • Re: [PR] feat: reuse tree visitor to display tree for `LogicalPlan` [datafusion] via GitHub
• [PR] Support distributed processing by pickling expressions [datafusion-python] via GitHub
  • Re: [PR] Support distributed processing by pickling expressions [datafusion-python] via GitHub
  • Re: [PR] Support distributed processing by pickling expressions [datafusion-python] via GitHub
  • Re: [PR] Support distributed processing by pickling expressions [datafusion-python] via GitHub
• [I] Reduce channel fanout overhead in `RepartitionExec` [datafusion] via GitHub
  • Re: [I] Reduce channel fanout overhead in `RepartitionExec` [datafusion] via GitHub
• [PR] build(deps-dev): bump pytest from 8.3.4 to 9.0.3 [datafusion-python] via GitHub
• Re: [I] Serialize user defined functions and table providers via protobuf [datafusion-python] via GitHub
• Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
  • Re: [PR] perf: coalesce batches before sending to distributor channels in RepartitionExec [datafusion] via GitHub
• Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub
  • Re: [PR] Add EnsureRequirements: merged EnforceDistribution + EnforceSorting with idempotent pushdown_sorts [datafusion] via GitHub

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