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• • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
  • Re: [PR] Support reverse parquet scan and fast parquet order inversion at row group level [datafusion] via GitHub
• Re: [I] Fast parquet order inversion [datafusion] via GitHub
• Re: [I] ListingTable handling of missing partition values [datafusion] via GitHub
  • Re: [I] ListingTable handling of missing partition values [datafusion] via GitHub
  • Re: [I] ListingTable handling of missing partition values [datafusion] via GitHub
  • Re: [I] ListingTable handling of missing partition values [datafusion] via GitHub
• Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
  • Re: [I] [DISCUSSION] Memory accounting model discussion [datafusion] via GitHub
• [I] Roundrobin repartition skews to left-side partitions [datafusion] via GitHub
  • Re: [I] Roundrobin repartition skews to left-side partitions [datafusion] via GitHub
• Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
  • Re: [PR] Optimize planning for projected nested union [datafusion] via GitHub
• Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
  • Re: [PR] Row group limit pruning [datafusion] via GitHub
• Re: [PR] implement sum for durations [datafusion] via GitHub
  • Re: [PR] implement sum for durations [datafusion] via GitHub
  • Re: [PR] implement sum for durations [datafusion] via GitHub
• [I] Deprecate `AggregateUDFImpl::is_nullable` in favour of `return_field` [datafusion] via GitHub
  • Re: [I] Deprecate `AggregateUDFImpl::is_nullable` in favour of `return_field` [datafusion] via GitHub
• Re: [D] DISCUSSION: DataFusion Meetup in Denver, CO USA [datafusion] via GitHub
• Re: [PR] optimizer: Support dynamic filter in `MIN/MAX` aggregates [datafusion] via GitHub
  • Re: [PR] optimizer: Support dynamic filter in `MIN/MAX` aggregates [datafusion] via GitHub
  • Re: [PR] optimizer: Support dynamic filter in `MIN/MAX` aggregates [datafusion] via GitHub
  • Re: [PR] optimizer: Support dynamic filter in `MIN/MAX` aggregates [datafusion] via GitHub
  • Re: [PR] optimizer: Support dynamic filter in `MIN/MAX` aggregates [datafusion] via GitHub
  • Re: [PR] optimizer: Support dynamic filter in `MIN/MAX` aggregates [datafusion] via GitHub
  • Re: [PR] optimizer: Support dynamic filter in `MIN/MAX` aggregates [datafusion] via GitHub
  • Re: [PR] optimizer: Support dynamic filter in `MIN/MAX` aggregates [datafusion] via GitHub
• Re: [I] Different result for different target partition size for clickbench Q32 [datafusion] via GitHub
  • Re: [I] Different result for different target partition size for clickbench Q32 [datafusion] via GitHub
• Re: [PR] chore: update Repartition DisplayAs to indicate maintained sort order [datafusion] via GitHub
  • Re: [PR] chore: update Repartition DisplayAs to indicate maintained sort order [datafusion] via GitHub
• Re: [I] Display sort order in Hash Repartition [datafusion] via GitHub
• Re: [I] [Tracking] Rollout of new lint `clippy::needless_pass_by_value` in all datafusion crates [datafusion] via GitHub
  • Re: [I] [Tracking] Rollout of new lint `clippy::needless_pass_by_value` in all datafusion crates [datafusion] via GitHub
• Re: [I] Stricter `Clippy` checks in CI [datafusion] via GitHub
• [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
  • Re: [I] New lint `clippy::allow_attributes` [datafusion] via GitHub
• Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
  • Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
  • Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
  • Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
  • Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
  • Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
  • Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
  • Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
  • Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
  • Re: [PR] Reduce FFI wrappers when round tripping code [datafusion] via GitHub
• [PR] Avoid repartition skew [datafusion] via GitHub
  • Re: [PR] Avoid repartition skew [datafusion] via GitHub
  • Re: [PR] Avoid repartition skew [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
  • Re: [PR] Avoid skew in Roundrobin repartition [datafusion] via GitHub
• Re: [PR] fix #18683 by enabling sort by aggregate [datafusion] via GitHub
  • Re: [PR] fix #18683 by enabling sort by aggregate [datafusion] via GitHub
  • Re: [PR] fix #18683 by enabling sort by aggregate [datafusion] via GitHub
• Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
  • Re: [PR] Add PhysicalOptimizerRule::optimize_plan to allow passing more context into optimizer rules [datafusion] via GitHub
• Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
  • Re: [PR] add specialized InList implementations for common scalar types [datafusion] via GitHub
• Re: [PR] Push down InList or hash table references from HashJoinExec depending on the size of the build side [datafusion] via GitHub
  • Re: [PR] Push down InList or hash table references from HashJoinExec depending on the size of the build side [datafusion] via GitHub
  • Re: [PR] Push down InList or hash table references from HashJoinExec depending on the size of the build side [datafusion] via GitHub
  • Re: [PR] Push down InList or hash table references from HashJoinExec depending on the size of the build side [datafusion] via GitHub
  • Re: [PR] Push down InList or hash table references from HashJoinExec depending on the size of the build side [datafusion] via GitHub
  • Re: [PR] Push down InList or hash table references from HashJoinExec depending on the size of the build side [datafusion] via GitHub
  • Re: [PR] Push down InList or hash table references from HashJoinExec depending on the size of the build side [datafusion] via GitHub
  • Re: [PR] Push down InList or hash table references from HashJoinExec depending on the size of the build side [datafusion] via GitHub
• [PR] feat: add `array_slice` benchmark [datafusion] via GitHub
  • Re: [PR] feat: add `array_slice` benchmark [datafusion] via GitHub
  • Re: [PR] feat: add `array_slice` benchmark [datafusion] via GitHub
  • Re: [PR] feat: add `array_slice` benchmark [datafusion] via GitHub
• Re: [I] Fast scalar path for array_slice [datafusion] via GitHub
  • Re: [I] Fast scalar path for array_slice [datafusion] via GitHub

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