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• • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
  • Re: [PR] feat: blocked agg with dynamic flat and blocked [datafusion] via GitHub
• Re: [PR] perf(datetime): add vectorized fast path for date_bin with nanosecond strides [datafusion] via GitHub
• [I] Audit the PRs in 1.1.0 for regressions since 1.0.0 [datafusion-comet] via GitHub
  • Re: [I] Audit the PRs in 1.1.0 for regressions since 1.0.0 [datafusion-comet] via GitHub
  • Re: [I] Audit the PRs in 1.1.0 for regressions since 1.0.0 [datafusion-comet] via GitHub
  • Re: [I] Audit the PRs in 1.1.0 for regressions since 1.0.0 [datafusion-comet] via GitHub
  • Re: [I] Audit the PRs in 1.1.0 for regressions since 1.0.0 [datafusion-comet] via GitHub
  • Re: [I] Audit the PRs in 1.1.0 for regressions since 1.0.0 [datafusion-comet] via GitHub
  • Re: [I] Audit the PRs in 1.1.0 for regressions since 1.0.0 [datafusion-comet] via GitHub
• [PR] perf: optimize IF column and literal selection [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize IF column and literal selection [datafusion-comet] via GitHub
  • Re: [PR] perf: optimize IF column and literal selection [datafusion-comet] via GitHub
  • Re: [PR] test: cover IF branch selection and short-circuiting [datafusion-comet] via GitHub
• [PR] ci: stop main's cargo build cache from being evicted [datafusion-comet] via GitHub
  • Re: [PR] ci: stop main's cargo build cache from being evicted [datafusion-comet] via GitHub
  • Re: [PR] ci: stop main's cargo build cache from being evicted [datafusion-comet] via GitHub
• Re: [I] ForeignAggregateUDF does not forward distinct handling [datafusion] via GitHub
  • Re: [I] ForeignAggregateUDF does not forward distinct handling [datafusion] via GitHub
• [PR] ci: retry dependency downloads in the Spark SQL test jobs and the Iceberg Gradle wrapper [datafusion-comet] via GitHub
  • Re: [PR] ci: retry dependency downloads in the Spark SQL test jobs and the Iceberg Gradle wrapper [datafusion-comet] via GitHub
  • Re: [PR] ci: retry dependency downloads in the Spark SQL test jobs and the Iceberg Gradle wrapper [datafusion-comet] via GitHub
• [PR] fix(ffi): forward distinct_handling through FFI_AggregateUDF [datafusion] via GitHub
  • Re: [PR] fix(ffi): forward distinct_handling through FFI_AggregateUDF [datafusion] via GitHub
  • Re: [PR] fix(ffi): forward distinct_handling through FFI_AggregateUDF [datafusion] via GitHub
• [I] ci: retry dependency downloads in the Spark SQL test jobs and the Iceberg Gradle wrapper [datafusion-comet] via GitHub
  • Re: [I] ci: retry dependency downloads in the Spark SQL test jobs and the Iceberg Gradle wrapper [datafusion-comet] via GitHub
• [PR] perf: opt substr into make_scalar_function dict fast path [datafusion] via GitHub
  • Re: [PR] perf: opt substr into make_scalar_function dict fast path [datafusion] via GitHub
• [PR] chore: remove unreachable code [datafusion] via GitHub
  • Re: [PR] chore: remove unreachable code and cleanup data type matching [datafusion] via GitHub
  • Re: [PR] chore: remove unreachable code and cleanup data type matching [datafusion] via GitHub
  • Re: [PR] chore: remove unreachable code and cleanup data type matching [datafusion] via GitHub
  • Re: [PR] chore: remove unreachable code and cleanup data type matching [datafusion] via GitHub
  • Re: [PR] chore: remove unreachable code and cleanup data type matching [datafusion] via GitHub
  • Re: [PR] chore: remove unreachable code and cleanup data type matching + support interval in min/max groups acc [datafusion] via GitHub
• [PR] fix: report row contents to native write statistics trackers [datafusion-comet] via GitHub
  • Re: [PR] fix: report row contents to native write statistics trackers [datafusion-comet] via GitHub
  • Re: [PR] fix: report row contents to native write statistics trackers [datafusion-comet] via GitHub
• Re: [I] SingleDistinctToGroupBy fires where it costs far more memory: adding count(*) makes a query ~1000x cheaper [datafusion] via GitHub
  • Re: [I] SingleDistinctToGroupBy fires where it costs far more memory: adding count(*) makes a query ~1000x cheaper [datafusion] via GitHub
  • Re: [I] SingleDistinctToGroupBy fires where it costs far more memory: adding count(*) makes a query ~1000x cheaper [datafusion] via GitHub
  • Re: [I] SingleDistinctToGroupBy fires where it costs far more memory: adding count(*) makes a query ~1000x cheaper [datafusion] via GitHub
• Re: [I] PartitionedTopKRank over-accounts memory when a single batch has boundary ties across many partitions [datafusion] via GitHub
• Re: [I] Spark aggregate functions do not report distinct_handling [datafusion] via GitHub
• Re: [PR] feat(spark): add distinct handling for Spark aggregate functions [datafusion] via GitHub
• [PR] test: add regression test for TopKAggregation NULL group preservation (#25850) [datafusion] via GitHub
• [PR] chore(deps): bump thiserror from 2.0.20 to 2.0.21 in the all-other-cargo-deps group [datafusion] via GitHub
  • Re: [PR] chore(deps): bump thiserror from 2.0.20 to 2.0.21 in the all-other-cargo-deps group [datafusion] via GitHub
• [PR] bench: add AND conjunction benchmarks to binary_op [datafusion] via GitHub
  • Re: [PR] bench: add AND conjunction benchmarks to binary_op [datafusion] via GitHub
  • Re: [PR] bench: add AND conjunction benchmarks to binary_op [datafusion] via GitHub
  • Re: [PR] bench: add AND conjunction benchmarks to binary_op [datafusion] via GitHub
• Re: [I] Adding a New Operator guide omits the equals/hashCode requirement for Comet plan operators [datafusion-comet] via GitHub
• [I] Nightly CI failed on 2026-09-29 [datafusion-comet] via GitHub
  • Re: [I] Nightly CI failed on 2026-09-29 [datafusion-comet] via GitHub
• Re: [I] [Bug] array_min and array_max differ from Spark on signed-zero ties [datafusion-comet] via GitHub
• [I] push_down_filter does not push window predicates on expression PARTITION BY keys [datafusion] via GitHub
• [PR] feat: push window predicates on expression PARTITION BY keys [datafusion] via GitHub
  • Re: [PR] feat: push window predicates on expression PARTITION BY keys [datafusion] via GitHub
  • Re: [PR] feat: push window predicates on expression PARTITION BY keys [datafusion] via GitHub
• [PR] Bind `->` and `->>` above arithmetic in MySQL and Generic [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Prune hash join probe side via dynamic discrete values from the build side [datafusion] via GitHub
  • Re: [PR] Prune hash join probe side via dynamic discrete values from the build side [datafusion] via GitHub
• [PR] fix: preserve uncertainty in singleton filter statistics [datafusion] via GitHub
  • Re: [PR] fix: preserve uncertainty in singleton filter statistics [datafusion] via GitHub
  • Re: [PR] fix: preserve uncertainty in singleton filter statistics [datafusion] via GitHub
• Re: [I] NestedLoopJoinExec memory-limited fallback returns an empty result (wrong count = 0) instead of spilling or erroring [datafusion] via GitHub
• [PR] fix: apply pushed-down fetch to filter statistics [datafusion] via GitHub
  • Re: [PR] fix: apply pushed-down fetch to filter statistics [datafusion] via GitHub
  • Re: [PR] fix: apply pushed-down fetch to filter statistics [datafusion] via GitHub
  • Re: [PR] fix: apply pushed-down fetch to filter statistics [datafusion] via GitHub
  • Re: [PR] fix: apply pushed-down fetch to filter statistics [datafusion] via GitHub
• [PR] fix: account for row duplication and padding in join null counts [datafusion] via GitHub
  • Re: [PR] fix: account for row duplication and padding in join null counts [datafusion] via GitHub
  • Re: [PR] fix: account for row duplication and padding in join null counts [datafusion] via GitHub
• Re: [PR] fix(substrait): roundtrip scalar subqueries in projections [datafusion] via GitHub
• Re: [I] Native Parquet writes report row counts but not row contents to WriteTaskStatsTrackers [datafusion-comet] via GitHub
• [PR] fix: count grouped integer SUM state in the aggregate's memory reservation [datafusion-comet] via GitHub
• [PR] fix: wait for the whole NULL peer group before emitting RANGE `N PRECEDING` window results [datafusion] via GitHub
  • Re: [PR] fix: wait for the whole NULL peer group before emitting RANGE `N PRECEDING` window results [datafusion] via GitHub
• [I] Wrong results: window aggregates over `RANGE ... N PRECEDING` depend on batch boundaries when the ORDER BY value is NULL [datafusion] via GitHub
• [PR] chore(ci): bump taiki-e/install-action from 2.87.20 to 2.87.21 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.87.20 to 2.87.21 [datafusion-ballista] via GitHub
• [PR] fix: Validate file cache identity and isolate object stores [datafusion] via GitHub
  • Re: [PR] fix: Validate file cache identity and isolate object stores [datafusion] via GitHub
  • Re: [PR] fix: Validate file cache identity and isolate object stores [datafusion] via GitHub
  • Re: [PR] fix: Validate file cache identity and isolate object stores [datafusion] via GitHub
  • Re: [PR] fix: Validate file cache identity and isolate object stores [datafusion] via GitHub
  • Re: [PR] fix: Validate file cache identity and isolate object stores [datafusion] via GitHub
• Re: [I] Native ANSI errors raised as Arrow errors bypass SparkError conversion (wide decimal, decimal divide, decimal-to-decimal cast) [datafusion-comet] via GitHub
• [PR] fix: cap JVM shuffle batch size at read time instead of during CometConf init [datafusion-comet] via GitHub
  • Re: [PR] fix: cap JVM shuffle batch size at read time instead of during CometConf init [datafusion-comet] via GitHub
  • Re: [PR] fix: cap JVM shuffle batch size at read time instead of during CometConf init [datafusion-comet] via GitHub
  • Re: [PR] fix: cap JVM shuffle batch size at read time instead of during CometConf init [datafusion-comet] via GitHub
• [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
  • Re: [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
  • Re: [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
  • Re: [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
  • Re: [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
  • Re: [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
  • Re: [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
  • Re: [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
  • Re: [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
  • Re: [PR] fix: size aggregate spill batches by bytes as well as rows [datafusion] via GitHub
• [PR] fix: count each reused exchange once in extended explain [datafusion-comet] via GitHub
  • Re: [PR] fix: count each reused exchange once in extended explain [datafusion-comet] via GitHub
• [I] Add integer boundary coverage to in-memory cache pruning tests [datafusion-comet] via GitHub
  • Re: [I] Add integer boundary coverage to in-memory cache pruning tests [datafusion-comet] via GitHub
  • Re: [I] Add integer boundary coverage to in-memory cache pruning tests [datafusion-comet] via GitHub
• [PR] perf(parquet): skip Bloom reads for fully matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip Bloom reads for fully matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip Bloom reads for fully matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip Bloom reads for fully matched row groups [datafusion] via GitHub
  • Re: [PR] perf(parquet): skip Bloom reads for fully matched row groups [datafusion] via GitHub
• [PR] fix: size the native runtime for standalone executors without spark.executor.cores [datafusion-comet] via GitHub
  • Re: [PR] fix: size the native runtime for standalone executors without spark.executor.cores [datafusion-comet] via GitHub
• [PR] fix: Preserve column identifiers in DataFrame fill methods [datafusion] via GitHub
• [I] INSERT nullability: unpartitioned path skips the runtime NULL check; partitioned path rejects nullable sources at plan time [datafusion-iceberg] via GitHub
• [PR] fix: build release jars from the same commit as the native libraries [datafusion-comet] via GitHub
  • Re: [PR] fix: build release jars from the same commit as the native libraries [datafusion-comet] via GitHub
  • Re: [PR] fix: build release jars from the same commit as the native libraries [datafusion-comet] via GitHub
  • Re: [PR] fix: build release jars from the same commit as the native libraries [datafusion-comet] via GitHub
  • Re: [PR] fix: build release jars from the same commit as the native libraries [datafusion-comet] via GitHub
  • Re: [PR] fix: build release jars from the same commit as the native libraries [datafusion-comet] via GitHub
• [PR] fix: make benchmark cases over ShortType columns exercise Comet [datafusion-comet] via GitHub
  • Re: [PR] fix: make benchmark cases over ShortType columns exercise Comet [datafusion-comet] via GitHub
• [I] date_bin: define the semantics of negative strides [datafusion] via GitHub
  • Re: [I] date_bin: define the semantics of negative strides [datafusion] via GitHub
  • Re: [I] date_bin: define the semantics of negative strides [datafusion] via GitHub
  • Re: [I] date_bin: define the semantics of negative strides [datafusion] via GitHub
  • Re: [I] date_bin: define the semantics of negative strides [datafusion] via GitHub
• [I] date_bin: month strides on s/ms/us timestamps return NULL outside the chrono DateTime range [datafusion] via GitHub
  • Re: [I] date_bin: month strides on s/ms/us timestamps return NULL outside the chrono DateTime range [datafusion] via GitHub
• [PR] docs: add a Celeborn integration guide [datafusion-comet] via GitHub
  • Re: [PR] docs: add a Celeborn integration guide [datafusion-comet] via GitHub

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