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Re: [I] Track Spark 4.2 test failures [datafusion-comet]
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Re: [I] Track Spark 4.2 test failures [datafusion-comet]
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[I] Spark 4.2: native Iceberg REST catalog scan test fails under Comet [datafusion-comet]
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Re: [I] Spark 4.2: native Iceberg REST catalog scan test fails under Comet [datafusion-comet]
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[PR] [WIP] allow range to satisfy key distribution generally [datafusion]
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Re: [PR] [WIP] allow range to satisfy key distribution generally [datafusion]
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Re: [PR] [WIP] allow range to satisfy key distribution generally [datafusion]
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Re: [PR] allow range to satisfy key distribution generally [datafusion]
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Re: [PR] allow range to satisfy key distribution generally [datafusion]
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Re: [PR] allow range to satisfy key distribution generally [datafusion]
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Re: [PR] allow range to satisfy key distribution generally [datafusion]
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Re: [PR] allow range to satisfy key distribution generally [datafusion]
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Re: [PR] allow range to satisfy key distribution generally [datafusion]
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Re: [PR] allow range to satisfy key distribution generally [datafusion]
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[I] Spark 4.2: BloomFilter tests fail under Comet [datafusion-comet]
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Re: [I] Spark 4.2: BloomFilter tests fail under Comet [datafusion-comet]
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Re: [I] Spark 4.2: BloomFilter tests fail under Comet [datafusion-comet]
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[I] Spark 4.2: ANSI arithmetic overflow tests fail under Comet [datafusion-comet]
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[I] Spark 4.2: SQL Last Attempt Metric (SLAM) not propagated through Comet operators [datafusion-comet]
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[I] Spark 4.2: UnionCodegenSuite partitioning-aware test inspects UnionExec that Comet replaces [datafusion-comet]
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[I] Spark 4.2: segment-tree window metrics unavailable under CometWindowExec [datafusion-comet]
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[I] Spark 4.2: Comet native collect_set does not normalize NaN / -0.0 (SPARK-57298) [datafusion-comet]
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[PR] chore: codeql dependabot fix [datafusion-comet]
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Re: [PR] chore: codeql dependabot fix [datafusion-comet]
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Re: [PR] fix: dedup commutative AND/OR operands when canonicalize is disabled [datafusion]
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Re: [PR] Bump MSRV from `1.88.0` to `1.94.0` [datafusion]
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Re: [PR] Bump MSRV from `1.88.0` to `1.94.0` [datafusion]
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Re: [PR] Bump MSRV from `1.88.0` to `1.94.0` [datafusion]
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Re: [PR] Fix ordering for UNION ALL over heterogeneous constants [datafusion]
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Re: [PR] test: Fix malformed `regexp_instr` error tests and add slt coverage [datafusion]
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[PR] Add Comet 1.0.0 release announcement blog post [datafusion-site]
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Re: [I] DataFusion Comet 0.17.1 release [datafusion-comet]
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Re: [I] DataFusion Comet 0.17.1 release [datafusion-comet]
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Re: [PR] chore: Test update object store to 0.14.0 [datafusion]
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Re: [PR] chore: Test update object store to 0.14.0 [datafusion]
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Re: [PR] chore: Test update object store to 0.14.0 [datafusion]
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Re: [PR] fix: handle null date and timestamp format arguments [datafusion]
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Re: [PR] fix: handle null date and timestamp format arguments [datafusion]
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[PR] chore: add 0.17.1 changelog [datafusion-comet]
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Re: [PR] docs: add 0.17.1 changelog [datafusion-comet]
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[PR] ci: gate expensive workflows on lint by consolidating into rust.yml [datafusion-ballista]
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Re: [PR] ci: gate expensive workflows on lint by consolidating into rust.yml [datafusion-ballista]
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Re: [I] Create a pipeline/morsel scheduler [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
via GitHub
Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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Re: [PR] feat: make StatisticsRegistry the default operator-statistics path [datafusion]
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[PR] chore: Enable `unused_async` lint [datafusion]
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Re: [PR] chore: Enable `unused_async` lint [datafusion]
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Re: [PR] chore: Enable `unused_async` lint [datafusion]
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Re: [PR] chore: Enable `unused_async` lint, make some functions sync [datafusion]
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Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion]
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Re: [PR] Add FixedSizeBinary support for MultiGroupBy [datafusion]
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Re: [I] Add catalog methods to Session trait [datafusion]
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Re: [I] Add catalog methods to Session trait [datafusion]
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[I] Expand Session trait to parity with SessionState [datafusion]
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Re: [I] Expand Session trait to parity with SessionState [datafusion]
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Re: [I] Expand Session trait to parity with SessionState [datafusion]
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Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista]
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Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista]
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Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista]
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Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista]
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Re: [PR] feat(scheduler): Redirect '/' to nighlies.a.o WebTUI [datafusion-ballista]
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Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
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Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
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[PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
via GitHub
Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
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Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
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Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
via GitHub
Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
via GitHub
Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
via GitHub
Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
via GitHub
Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
via GitHub
Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
via GitHub
Re: [PR] fix: Capture global ORDER BY requirement under ScalarSubqueryExec root [datafusion]
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Re: [PR] refactor: thread SubqueryContext explicitly through physical planning [datafusion]
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Re: [PR] refactor: thread SubqueryContext explicitly through physical planning [datafusion]
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Re: [PR] Pass execution props to scalar subqueries [datafusion]
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Re: [PR] Pass execution props to scalar subqueries [datafusion]
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Re: [PR] feat: Range Partitioning FFI [datafusion]
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Re: [PR] feat: Range Partitioning FFI [datafusion]
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Re: [PR] feat: Range Partitioning FFI [datafusion]
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Re: [PR] feat: Range Partitioning FFI [datafusion]
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Re: [PR] feat: Range Partitioning FFI [datafusion]
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Re: [PR] feat: Range Partitioning FFI [datafusion]
via GitHub
Re: [PR] feat: Range Partitioning FFI [datafusion]
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Re: [PR] feat: Range Partitioning FFI [datafusion]
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Re: [PR] feat: Range Partitioning FFI [datafusion]
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Re: [PR] feat: Range Partitioning FFI [datafusion]
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Re: [PR] bench: add FixedSizeBinary coverage to multi_group_by benchmark [datafusion]
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Re: [PR] bench: add FixedSizeBinary coverage to multi_group_by benchmark [datafusion]
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Re: [I] Move static support decisions from serde convert into getSupportLevel [datafusion-comet]
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Re: [PR] fix(lambda): only push referenced params into the merged batch [datafusion]
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Re: [PR] fix(lambda): only push referenced params into the merged batch [datafusion]
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Re: [PR] fix(lambda): only push referenced params into the merged batch [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [I] [DISCUSSION] Future of Dynamic Filters Sync [datafusion]
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Re: [PR] feat(spark): port Spark-compatible Parquet schema adapter from Comet [datafusion]
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Re: [PR] feat(spark): port Spark-compatible Parquet schema adapter from Comet [datafusion]
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Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
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Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
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Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
via GitHub
Re: [PR] fix: Do not mark GROUP BY derived unique keys as nullable [datafusion]
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Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
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Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] Multi-partition tasks: partition_slice plumbing + SortShuffleWriter refactor [datafusion-ballista]
via GitHub
Re: [PR] test: add advanced dictionary test [datafusion]
via GitHub
Re: [PR] test: add advanced dictionary test [datafusion]
via GitHub
Re: [PR] [EPIC/reference] Port ExecutionPlan serialization to try_to_proto / try_from_proto hooks (full) [datafusion]
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Re: [PR] [EPIC/reference] Port ExecutionPlan serialization to try_to_proto / try_from_proto hooks (full) [datafusion]
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[PR] fix: preserve precision in log() with mixed-width float arguments [datafusion]
via GitHub
Re: [PR] fix: preserve precision in log() with mixed-width float arguments [datafusion]
via GitHub
Re: [PR] fix: preserve precision in log() with mixed-width float arguments [datafusion]
via GitHub
Re: [PR] fix: preserve precision in log() with mixed-width float arguments [datafusion]
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Re: [PR] fix: preserve precision in log() with mixed-width float arguments [datafusion]
via GitHub
Re: [I] [EPIC] Port ExecutionPlan serialization to try_to_proto / try_from_proto hooks [datafusion]
via GitHub
Re: [I] [EPIC] Port ExecutionPlan serialization to try_to_proto / try_from_proto hooks [datafusion]
via GitHub
Re: [PR] perf: optimize `regexp_instr` (40% faster) [datafusion]
via GitHub
Re: [PR] perf: optimize `regexp_instr` (40% faster) [datafusion]
via GitHub
Re: [PR] perf: optimize `regexp_instr` (40% faster) [datafusion]
via GitHub
Re: [PR] perf: optimize `regexp_instr` (40% faster) [datafusion]
via GitHub
Re: [PR] perf: optimize `regexp_instr` (40% faster) [datafusion]
via GitHub
[I] Extract common regex compilation cache for reuse across regexp functions [datafusion]
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[PR] chore: bump spark-4.2 profile to the released 4.2.0 [datafusion-comet]
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Re: [PR] chore: bump spark-4.2 profile to the released 4.2.0 [datafusion-comet]
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Re: [PR] chore: bump spark-4.2 profile to the released 4.2.0 [datafusion-comet]
via GitHub
Re: [I] Implement TimeType support: Infrastructure - shuffle [datafusion-comet]
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Re: [PR] perf: optimize `find_in_set` (up to 24x faster) [datafusion]
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Re: [PR] perf: optimize `find_in_set` (up to 24x faster) [datafusion]
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Re: [PR] perf: optimize `find_in_set` (up to 24x faster) [datafusion]
via GitHub
Re: [PR] perf: optimize `find_in_set` (up to 24x faster) [datafusion]
via GitHub
Re: [PR] perf: optimize `find_in_set` (up to 24x faster) [datafusion]
via GitHub
Re: [PR] feat: Implement TimeType support - Infrastructure - shuffle [datafusion-comet]
via GitHub
Re: [PR] feat: Implement TimeType support - Infrastructure - shuffle [datafusion-comet]
via GitHub
Re: [PR] feat: Implement TimeType support - Infrastructure - shuffle [datafusion-comet]
via GitHub
[PR] feat: make AQE respect broadcast_join_threshold_bytes [datafusion-ballista]
via GitHub
Re: [PR] feat: make broadcast_join_threshold_bytes/rows authoritative under AQE and the static planner [datafusion-ballista]
via GitHub
Re: [PR] feat: make broadcast_join_threshold_bytes/rows authoritative under AQE and the static planner [datafusion-ballista]
via GitHub
Re: [PR] feat: make broadcast_join_threshold_bytes/rows authoritative under AQE and the static planner [datafusion-ballista]
via GitHub
[I] `ballista.optimizer.broadcast_join_threshold_bytes` has no effect when adaptive query planning is enabled [datafusion-ballista]
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Re: [I] `ballista.optimizer.broadcast_join_threshold_bytes` has no effect when adaptive query planning is enabled [datafusion-ballista]
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Re: [I] Native implementation of `get_json_object` returns last value for duplicate keys, Spark returns first [datafusion-comet]
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Re: [I] Native implementation of `get_json_object` returns last value for duplicate keys, Spark returns first [datafusion-comet]
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