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Re: [PR] perf(repartition): use SPSC channels + select_all in non-preserve-order mode [datafusion]
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Re: [PR] perf(repartition): use SPSC channels + select_all in non-preserve-order mode [datafusion]
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Re: [PR] perf(repartition): use SPSC channels + select_all in non-preserve-order mode [datafusion]
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Re: [PR] perf(repartition): use SPSC channels + select_all in non-preserve-order mode [datafusion]
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Re: [PR] perf(repartition): use SPSC channels + select_all in non-preserve-order mode [datafusion]
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Re: [PR] perf(repartition): use SPSC channels + select_all in non-preserve-order mode [datafusion]
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Re: [PR] perf(repartition): use SPSC channels + select_all in non-preserve-order mode [datafusion]
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Re: [PR] perf(repartition): use SPSC channels + select_all in non-preserve-order mode [datafusion]
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Re: [PR] perf(repartition): use SPSC channels + select_all in non-preserve-order mode [datafusion]
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[PR] perf(repartition): batch reservation + sends via per-partition local buffers [datafusion]
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Re: [PR] perf(repartition): batch reservation + sends via per-partition local buffers [datafusion]
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Re: [PR] perf(repartition): batch reservation + sends via per-partition local buffers [datafusion]
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Re: [PR] perf(repartition): batch reservation + sends via per-partition local buffers [datafusion]
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Re: [PR] perf(repartition): batch reservation + sends via per-partition local buffers [datafusion]
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Re: [PR] perf(repartition): batch reservation + sends via per-partition local buffers [datafusion]
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Re: [PR] perf(repartition): batch reservation + sends via per-partition local buffers [datafusion]
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Re: [PR] perf(repartition): batch reservation + sends via per-partition local buffers [datafusion]
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[PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] Remove redundant Mutex from SharedMemoryReservation [datafusion]
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Re: [PR] feat: enable native Iceberg reader by default [datafusion-comet]
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Re: [PR] feat: enable native Iceberg reader by default [datafusion-comet]
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Re: [PR] feat: enable native Iceberg reader by default [datafusion-comet]
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[PR] Cherry pick Wire up with_new_state with DataSource #20718 [datafusion]
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Re: [PR] Cherry pick Wire up with_new_state with DataSource #20718 [datafusion]
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Re: [PR] Cherry pick Wire up with_new_state with DataSource #20718 [datafusion]
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Re: [I] bug: native Iceberg reader can return wrong results for migrated Parquet files with INT96 timestamps [datafusion-comet]
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Re: [I] bug: native Iceberg reader errors on residual filter on column after nested type for migrated Parquet files [datafusion-comet]
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[PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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Re: [PR] feat: add sort_pushdown_inexact benchmark for RG reorder [datafusion]
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[PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
via GitHub
Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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Re: [PR] Add io-uring based ObjectStore for local file I/O [datafusion]
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[PR] feat: parse EXCLUDE constraints for PostgreSQL [datafusion-sqlparser-rs]
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Re: [PR] feat: parse EXCLUDE constraints for PostgreSQL [datafusion-sqlparser-rs]
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Re: [PR] feat: parse EXCLUDE constraints for PostgreSQL [datafusion-sqlparser-rs]
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Re: [PR] Support Dictionary Arrays in MIN/MAX Aggregates [datafusion]
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Re: [PR] Support Dictionary Arrays in MIN/MAX Aggregates [datafusion]
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Re: [PR] Support Dictionary Arrays in MIN/MAX Aggregates [datafusion]
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Re: [PR] Support Dictionary Arrays in MIN/MAX Aggregates [datafusion]
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Re: [PR] Support Dictionary Arrays in MIN/MAX Aggregates [datafusion]
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[PR] Use ListArray nullability instead of offsets for `array_element`, `array_any_value`. [datafusion]
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Re: [PR] Use ListArray nullability instead of offsets for `array_element`, `array_any_value`. [datafusion]
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[I] array_element, array_any_value use list offsets to deduce nullability. [datafusion]
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Re: [I] `array_element`, `array_any_value` use list offsets to deduce nullability. [datafusion]
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[PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] chore(deps): update tokio from 1.51 to 1.52 [datafusion]
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Re: [PR] Spark quarter function implementation [datafusion]
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Re: [PR] Spark quarter function implementation [datafusion]
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[PR] feat: support `ListView` and `LargeListView` in `ScalarValue` [datafusion]
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Re: [PR] feat: support `ListView` and `LargeListView` in `ScalarValue` [datafusion]
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Re: [PR] feat: support `ListView` and `LargeListView` in `ScalarValue` [datafusion]
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Re: [PR] feat: support `ListView` and `LargeListView` in `ScalarValue` [datafusion]
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Re: [PR] feat: support `ListView` and `LargeListView` in `ScalarValue` [datafusion]
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[PR] Update test to preserve filter pushdown order [datafusion-testing]
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[PR] chore: Register task completion listener to ensure CometExecIterator is always closed [datafusion-comet]
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Re: [PR] chore: Register task completion listener to ensure CometExecIterator is always closed [datafusion-comet]
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Re: [PR] chore: Register task completion listener to ensure CometExecIterator is always closed [datafusion-comet]
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Re: [PR] chore: Register task completion listener to ensure CometExecIterator is always closed [datafusion-comet]
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Re: [I] Fix Spark `slice` function `Null` type to `GenericListArray` casting issue [datafusion]
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Re: [PR] perf: Optimize `substr` for Utf8, LargeUtf8 [datafusion]
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Re: [PR] perf: Optimize `substr` for Utf8, LargeUtf8 [datafusion]
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Re: [PR] perf: Optimize `substr` for Utf8, LargeUtf8 [datafusion]
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Re: [PR] perf: Optimize `substr` for Utf8, LargeUtf8 [datafusion]
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Re: [PR] perf: Optimize `substr` for Utf8, LargeUtf8 [datafusion]
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[PR] PushdownFilter optimizations [datafusion]
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Re: [PR] PushdownFilter optimizations [datafusion]
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[PR] perf(push_down_filter): skip filter revalidation [datafusion]
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Re: [PR] perf: Optimize `left`, `right` to reduce copying [datafusion]
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Re: [PR] perf: Optimize `left`, `right` to reduce copying [datafusion]
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Re: [PR] perf: Optimize `left`, `right` to reduce copying [datafusion]
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Re: [PR] perf: Optimize `left`, `right` to reduce copying [datafusion]
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Re: [PR] perf: Optimize `left`, `right` to reduce copying [datafusion]
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Re: [PR] perf: Optimize `left`, `right` to reduce copying [datafusion]
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Re: [PR] Spark make_valid_utf8 function implementation [datafusion]
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Re: [PR] Spark make_valid_utf8 function implementation [datafusion]
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Re: [PR] Spark make_valid_utf8 function implementation [datafusion]
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[PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
via GitHub
Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
via GitHub
Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
via GitHub
Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
via GitHub
Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Report empty build partitions for partitioned hash join filters [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
via GitHub
Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
via GitHub
Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
via GitHub
Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [PR] Handle canceled partitioned hash join dynamic filters lazily [datafusion]
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Re: [I] `median` window function can skip retracted values in sliding frames [datafusion]
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Re: [PR] fix: `median` retract logic for sliding window frames [datafusion]
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Re: [PR] fix: `median` retract logic for sliding window frames [datafusion]
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Re: [PR] fix: `median` retract logic for sliding window frames [datafusion]
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Re: [PR] docs: Update `map_extract` examples [datafusion]
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[PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
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Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
Re: [PR] Support Date32/Date64 in unwrap_cast optimization [datafusion]
via GitHub
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