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• [PR] Aovid computing unnecessary statstics [datafusion] via GitHub
  • Re: [PR] Avoid computing unnecessary statstics [datafusion] via GitHub
• [PR] chore: correct name of pipelines for native_datafusion ci workflow [datafusion-comet] via GitHub
  • Re: [PR] chore: correct name of pipelines for native_datafusion ci workflow [datafusion-comet] via GitHub
  • Re: [PR] chore: correct name of pipelines for native_datafusion ci workflow [datafusion-comet] via GitHub
• [PR] Return field instead of datatype for `return_type_from_args` [datafusion] via GitHub
  • Re: [PR] Return field instead of datatype for `return_type_from_args` [datafusion] via GitHub
• [PR] test: add fuzz test for doing aggregation with larger than memory groups [datafusion] via GitHub
  • Re: [PR] test: add fuzz test for doing aggregation with larger than memory groups and sorting with limited memory [datafusion] via GitHub
  • Re: [PR] test: add fuzz test for doing aggregation with larger than memory groups and sorting with limited memory [datafusion] via GitHub
• [PR] Coerce and simplify FixedSizeBinary equality to literal binary [datafusion] via GitHub
  • Re: [PR] Coerce and simplify FixedSizeBinary equality to literal binary [datafusion] via GitHub
  • Re: [PR] Coerce and simplify FixedSizeBinary equality to literal binary [datafusion] via GitHub
  • Re: [PR] Coerce and simplify FixedSizeBinary equality to literal binary [datafusion] via GitHub
  • Re: [PR] Coerce and simplify FixedSizeBinary equality to literal binary [datafusion] via GitHub
  • Re: [PR] Coerce and simplify FixedSizeBinary equality to literal binary [datafusion] via GitHub
• [I] CI is failing on main: error: the lock file /__w/datafusion/datafusion/Cargo.lock needs to be updated [datafusion] via GitHub
  • Re: [I] CI is failing on main: error: the lock file /__w/datafusion/datafusion/Cargo.lock needs to be updated [datafusion] via GitHub
  • Re: [I] CI is failing on main: error: the lock file /__w/datafusion/datafusion/Cargo.lock needs to be updated [datafusion] via GitHub
• [PR] Update checked in Cargo.lock file to get clean CI [datafusion] via GitHub
  • Re: [PR] Update checked in Cargo.lock file to get clean CI [datafusion] via GitHub
  • Re: [PR] Update checked in Cargo.lock file to get clean CI [datafusion] via GitHub
• [PR] Add slt tests for `datafusion.execution.parquet.coerce_int96` setting [datafusion] via GitHub
  • Re: [PR] Add slt tests for `datafusion.execution.parquet.coerce_int96` setting [datafusion] via GitHub
  • Re: [PR] Add slt tests for `datafusion.execution.parquet.coerce_int96` setting [datafusion] via GitHub
  • Re: [PR] Add slt tests for `datafusion.execution.parquet.coerce_int96` setting [datafusion] via GitHub
  • Re: [PR] Add slt tests for `datafusion.execution.parquet.coerce_int96` setting [datafusion] via GitHub
• [PR] chore: update python deps to 45 [datafusion-ballista] via GitHub
  • Re: [PR] chore: update python deps to 45 [datafusion-ballista] via GitHub
  • Re: [PR] chore: update python deps to 45 [datafusion-ballista] via GitHub
• [PR] Replace `return_type` and `return_type_with_args` with `return_field` [datafusion] via GitHub
  • Re: [PR] Replace `return_type` and `return_type_with_args` with `return_field` [datafusion] via GitHub
• [I] When `datafusion.execution.parquet.coerce_int96` is set, timestamp type is still reported as Timestamp(nanoseconds) [datafusion] via GitHub
  • Re: [I] When `datafusion.execution.parquet.coerce_int96` is set, timestamp type is still reported as Timestamp(nanoseconds) [datafusion] via GitHub
  • Re: [I] When `datafusion.execution.parquet.coerce_int96` is set, timestamp type is still reported as Timestamp(nanoseconds) [datafusion] via GitHub
  • Re: [I] When `datafusion.execution.parquet.coerce_int96` is set, timestamp type is still reported as Timestamp(nanoseconds) [datafusion] via GitHub
  • Re: [I] When `datafusion.execution.parquet.coerce_int96` is set, timestamp type is still reported as Timestamp(nanoseconds) [datafusion] via GitHub
• [I] Reuse Rows allocation in SortPreservingMergeExec [datafusion] via GitHub
  • Re: [I] Reuse Rows allocation in SortPreservingMergeStream / `RowCursorStream` [datafusion] via GitHub
  • Re: [I] Reuse Rows allocation in SortPreservingMergeStream / `RowCursorStream` [datafusion] via GitHub
  • Re: [I] Reuse Rows allocation in SortPreservingMergeStream / `RowCursorStream` [datafusion] via GitHub
  • Re: [I] Reuse Rows allocation in SortPreservingMergeStream / `RowCursorStream` [datafusion] via GitHub
• Re: [I] get error value if timestamp represented by the INT96 in the parquet file [datafusion] via GitHub
  • Re: [I] get error value if timestamp represented by the INT96 in the parquet file [datafusion] via GitHub
• Re: [I] Implement `distinct` and `order by` clause for `string_agg` aggregate function [datafusion] via GitHub
• [I] Partitioned `ListingTable` read files after logical plan ser/de [datafusion] via GitHub
  • Re: [I] Partitioned `ListingTable` read files after logical plan ser/de [datafusion] via GitHub
  • Re: [I] Partitioned `ListingTable` read fails after logical plan ser/de [datafusion] via GitHub
• Re: [I] PostgreSQL dialect fails to parse `IN` with union [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Add support for parenthesized subquery as `IN` predicate [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support for parenthesized subquery as `IN` predicate [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support for parenthesized subquery as `IN` predicate [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add support for parenthesized subquery as `IN` predicate [datafusion-sqlparser-rs] via GitHub
• [PR] Add hook for sharing join state in distributed execution [datafusion] via GitHub
  • Re: [PR] Add hook for sharing join state in distributed execution [datafusion] via GitHub
• Re: [I] [substrait] refactor consumer.rs [datafusion] via GitHub
• Re: [I] Update EXPLAIN documentation for default EXPLAIN format [datafusion] via GitHub
• [PR] Int96 fr [datafusion-comet] via GitHub
  • Re: [PR] fix: better int96 support for experimental native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: better int96 support for experimental native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: better int96 support for experimental native scans [datafusion-comet] via GitHub
  • Re: [PR] fix: better int96 support for experimental native scans [datafusion-comet] via GitHub
• Re: [I] Release sqlparser-rs version `0.56.0` around 2024-04-20 [datafusion-sqlparser-rs] via GitHub
  • Re: [I] Release sqlparser-rs version `0.56.0` around 2024-04-20 [datafusion-sqlparser-rs] via GitHub
• [PR] feat: track unified memory pool [datafusion-comet] via GitHub
  • Re: [PR] feat: track unified memory pool [datafusion-comet] via GitHub
  • Re: [PR] feat: track unified memory pool [datafusion-comet] via GitHub
• Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
  • Re: [PR] User defined window functions blog post [datafusion-site] via GitHub
• [PR] Fix local preview link in README [datafusion-site] via GitHub
  • Re: [PR] Fix local preview link in README [datafusion-site] via GitHub
  • Re: [PR] Fix local preview link in README [datafusion-site] via GitHub
• Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
  • Re: [PR] feat: add `with_group_indices_order_mode` function for `GroupsAccumulator` to help create specialized impl [datafusion] via GitHub
• Re: [D] DataFusion for Data Engineering in Rust? [datafusion] via GitHub
• [PR] Minor: include output partition count of `RepartitionExec` to tree explain [datafusion] via GitHub
  • Re: [PR] Minor: include output partition count of `RepartitionExec` to tree explain [datafusion] via GitHub
  • Re: [PR] Minor: include output partition count of `RepartitionExec` to tree explain [datafusion] via GitHub
  • Re: [PR] Minor: include output partition count of `RepartitionExec` to tree explain [datafusion] via GitHub
  • Re: [PR] Minor: include output partition count of `RepartitionExec` to tree explain [datafusion] via GitHub
• [PR] support OR operator in binary `evaluate_bounds` [datafusion] via GitHub
  • Re: [PR] support OR operator in binary `evaluate_bounds` [datafusion] via GitHub
  • Re: [PR] support OR operator in binary `evaluate_bounds` [datafusion] via GitHub
  • Re: [PR] support OR operator in binary `evaluate_bounds` [datafusion] via GitHub
  • Re: [PR] support OR operator in binary `evaluate_bounds` [datafusion] via GitHub
• [I] Interval arithmetic `apply_operator` does not support OR [datafusion] via GitHub
• Re: [I] Optimized spill file format [datafusion] via GitHub
  • Re: [I] Optimized spill file format [datafusion] via GitHub
• [I] incorrect range frame implementation [datafusion] via GitHub
  • Re: [I] incorrect range frame implementation [datafusion] via GitHub
• [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
  • Re: [I] Investigate unstable benchmark results on macOS [datafusion-comet] via GitHub
• Re: [I] Support `AVG` for durations [datafusion] via GitHub
  • Re: [I] Support `AVG` for durations [datafusion] via GitHub
• [I] Issue with partitioned data [datafusion-ballista] via GitHub
  • Re: [I] Issue with partitioned data [datafusion-ballista] via GitHub
  • Re: [I] Issue with partitioned data [datafusion-ballista] via GitHub
  • Re: [I] Issue with partitioned data [datafusion-ballista] via GitHub
  • Re: [I] Issue with partitioned data [datafusion-ballista] via GitHub
  • Re: [I] Issue with partitioned `ListingTable` [datafusion-ballista] via GitHub
  • Re: [I] Issue with partitioned `ListingTable` [datafusion-ballista] via GitHub
  • Re: [I] Issue with partitioned `ListingTable` [datafusion-ballista] via GitHub
• [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
  • Re: [PR] Enable setting default values for target_partitions and planning_concurrency [datafusion] via GitHub
• [PR] chore: clean up `planner.rs` [datafusion-comet] via GitHub
  • Re: [PR] chore: clean up `planner.rs` [datafusion-comet] via GitHub
  • Re: [PR] chore: clean up `planner.rs` [datafusion-comet] via GitHub
  • Re: [PR] chore: clean up `planner.rs` [datafusion-comet] via GitHub
• [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
  • Re: [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
  • Re: [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
  • Re: [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
  • Re: [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
  • Re: [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
  • Re: [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
  • Re: [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
  • Re: [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
  • Re: [PR] feat: transfer Apache Spark runtime conf to native engine [datafusion-comet] via GitHub
• [I] API to match against any error in chain [datafusion] via GitHub
• [I] Postgres `CREATE SERVER` can't be parsed [datafusion-sqlparser-rs] via GitHub
• [PR] Add `DROP TRIGGER` support for SQL Server [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add `DROP TRIGGER` support for SQL Server [datafusion-sqlparser-rs] via GitHub
• [PR] [WIP] docs: Add instructions on running TPC-H on macOS [datafusion-comet] via GitHub
  • Re: [PR] [WIP] docs: Add instructions on running TPC-H on macOS [datafusion-comet] via GitHub
  • Re: [PR] [WIP] docs: Add instructions on running TPC-H on macOS [datafusion-comet] via GitHub
  • Re: [PR] docs: Add instructions on running TPC-H on macOS [datafusion-comet] via GitHub
  • Re: [PR] docs: Add instructions on running TPC-H on macOS [datafusion-comet] via GitHub
• Re: [PR] refactor!: consistent null handling in coercible signatures [datafusion] via GitHub
  • Re: [PR] refactor!: consistent null handling in coercible signatures [datafusion] via GitHub
• [PR] doc : update RepartitionExec display tree [datafusion] via GitHub
  • Re: [PR] doc : update RepartitionExec display tree [datafusion] via GitHub
• Re: [PR] Add coerce int96 option for Parquet to support different TimeUnits, test int96_from_spark.parquet from parquet-testing [datafusion] via GitHub
  • Re: [PR] Add coerce int96 option for Parquet to support different TimeUnits, test int96_from_spark.parquet from parquet-testing [datafusion] via GitHub

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