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• • Re: [PR] fix: raise DIVIDE_BY_ZERO from native corr on a zero denominator in ANSI mode [datafusion-comet] via GitHub
  • Re: [PR] fix: raise DIVIDE_BY_ZERO from native corr on a zero denominator in ANSI mode [datafusion-comet] via GitHub
• [I] unnest drops the list item field's metadata (e.g. Arrow extension types) [datafusion] via GitHub
  • Re: [I] unnest drops the list item field's metadata (e.g. Arrow extension types) [datafusion] via GitHub
• Re: [PR] refactor: share Parquet field-id and name resolution between root and nested fields [datafusion-comet] via GitHub
  • Re: [PR] refactor: share Parquet field-id and name resolution between root and nested fields [datafusion-comet] via GitHub
• Re: [PR] fix: compact oversized nested list_extract buffers [datafusion-comet] via GitHub
  • Re: [PR] fix: compact oversized nested list_extract buffers [datafusion-comet] via GitHub
  • Re: [PR] fix: compact oversized nested list_extract buffers [datafusion-comet] via GitHub
  • Re: [PR] fix: compact oversized nested list_extract buffers [datafusion-comet] via GitHub
• [I] Struct union type coercion takes field nullability from the wrong field when field order differs [datafusion] via GitHub
• [PR] fix(spark): return NULL from parse_url for a malformed URL unless ANSI [datafusion] via GitHub
• [I] Planning fails with "Conflicting types" when one placeholder is inferred with two types [datafusion] via GitHub
  • Re: [I] Planning fails with "Conflicting types" when one placeholder is inferred with two types [datafusion] via GitHub
  • Re: [I] Planning fails with "Conflicting types" when one placeholder is inferred with two types [datafusion] via GitHub
  • Re: [I] Planning fails with "Conflicting types" when one placeholder is inferred with two types [datafusion] via GitHub
• Re: [I] Support Configuring arrow_ipc::FileWriter via ArrowWriterOptions [datafusion] via GitHub
• Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark AVG buffer and overflow semantics [datafusion-comet] via GitHub
• [I] [Bug] pow differs from Spark for -0.0, NaN and infinite exponents [datafusion] via GitHub
  • Re: [I] [Bug] pow differs from Spark for -0.0, NaN and infinite exponents [datafusion] via GitHub
  • Re: [I] [Bug] pow differs from Spark for -0.0, NaN and infinite exponents [datafusion] via GitHub
• [I] Legacy cast of an overflowing finite double to timestamp returns NULL [datafusion-comet] via GitHub
• [I] [Bug] date_part('SECOND', ts) drops the fractional seconds, Spark returns decimal(8,6) [datafusion] via GitHub
• [I] [Bug] round on a DECIMAL keeps the input type, Spark reduces the scale of the result [datafusion] via GitHub
  • Re: [I] [Bug] round on a DECIMAL keeps the input type, Spark reduces the scale of the result [datafusion] via GitHub
• [I] ANSI NaN and infinity use the wrong exception for cast to timestamp [datafusion-comet] via GitHub
• Re: [I] Internal error: GROUP BY over UNION ALL fails when a branch projects `coalesce(<nullable bool>, FALSE)` (CSE rewrite is physically nullable) [datafusion] via GitHub
• Re: [PR] fix: count buffers shared between sort input batches once [datafusion] via GitHub
• Re: [PR] fix: Account for buffered rows in `RowCursorStream` [datafusion] via GitHub
  • Re: [PR] fix: Account for buffered rows in `RowCursorStream` [datafusion] via GitHub
• Re: [I] Document and enforce compatibility of the intermediate state produced by an `AggregateUDFImpl`'s `Accumulator` and `GroupsAccumulator` [datafusion] via GitHub
• Re: [I] MIN/MAX fail with an internal error on RunEndEncoded columns [datafusion] via GitHub
• Re: [PR] fix: fall back for Parquet datetime rebasing [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back for Parquet datetime rebasing [datafusion-comet] via GitHub
• Re: [PR] fix: preserve Spark evaluation for next_day and levenshtein [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark evaluation for next_day and levenshtein [datafusion-comet] via GitHub
• Re: [PR] fix: preserve skipped unbase64 rows [datafusion-comet] via GitHub
• Re: [PR] fix: validate Parquet VARIANT annotation against the requested read type [datafusion-comet] via GitHub
  • Re: [PR] fix: validate Parquet VARIANT annotation against the requested read type [datafusion-comet] via GitHub
  • Re: [PR] fix: validate Parquet VARIANT annotation against the requested read type [datafusion-comet] via GitHub
  • Re: [PR] fix: validate Parquet VARIANT annotation against the requested read type [datafusion-comet] via GitHub
  • Re: [PR] fix: validate Parquet VARIANT annotation against the requested read type [datafusion-comet] via GitHub
• Re: [PR] fix: summarize Bloom literals in filter plan displays [datafusion-comet] via GitHub
  • Re: [PR] fix: summarize Bloom literals in filter plan displays [datafusion-comet] via GitHub
• Re: [PR] feat: add extension to support `DataFrame::checkpoint()` [datafusion-ballista] via GitHub
  • Re: [PR] feat: add extension to support `DataFrame::checkpoint()` [datafusion-ballista] via GitHub
• Re: [PR] refactor: replace MapOffset tuple with ProbeOffset enum [datafusion] via GitHub
  • Re: [PR] refactor: replace MapOffset tuple with ProbeOffset enum [datafusion] via GitHub
• [PR] build: remove Guava dependency [datafusion-comet] via GitHub
  • Re: [PR] build: remove Guava dependency [datafusion-comet] via GitHub
• Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
  • Re: [PR] feat: use datafusion python FFI for integration (native datafusion python support) [datafusion-ballista] via GitHub
• [I] Lower and upper window-frame bound serialization are near-identical copies [datafusion-comet] via GitHub
  • Re: [I] Lower and upper window-frame bound serialization are near-identical copies [datafusion-comet] via GitHub
  • Re: [I] Lower and upper window-frame bound serialization are near-identical copies [datafusion-comet] via GitHub
• Re: [PR] fix: avoid shifting zero grouping ordinals by 64 [datafusion] via GitHub
  • Re: [PR] fix: avoid shifting zero grouping ordinals by 64 [datafusion] via GitHub
• Re: [PR] fix(proto): preserve EmptyRelation schema across logical plan round trip [datafusion] via GitHub
• [PR] test: use WITH ORDER tables for date_bin/date_trunc ordering plan tests [datafusion] via GitHub
  • Re: [PR] test: use WITH ORDER tables for date_bin/date_trunc ordering plan tests [datafusion] via GitHub
  • Re: [PR] test: use WITH ORDER tables for date_bin/date_trunc ordering plan tests [datafusion] via GitHub
  • Re: [PR] test: use WITH ORDER tables for date_bin/date_trunc ordering plan tests [datafusion] via GitHub
  • Re: [PR] test: use WITH ORDER tables for date_bin/date_trunc ordering plan tests [datafusion] via GitHub
• [PR] chore(deps): bump datafusion-sqllogictest from 55.0.0 to 55.1.0 [datafusion-iceberg] via GitHub
• [PR] chore(deps): bump datafusion-cli from 55.0.0 to 55.1.0 [datafusion-iceberg] via GitHub
• Re: [PR] docs: show runnable query examples in API documentation [datafusion] via GitHub
  • Re: [PR] docs: show runnable query examples in API documentation [datafusion] via GitHub
  • Re: [PR] docs: show runnable query examples in API documentation [datafusion] via GitHub
• Re: [PR] fix: resolve pass-through columns against the input when merging an extraction projection [datafusion] via GitHub
  • Re: [PR] fix: resolve pass-through columns against the input when merging an extraction projection [datafusion] via GitHub
• [PR] [WIP][Experimental] feat: add `datafusion.execution.isolated_partitions` for distributed-safe join selection [datafusion] via GitHub
  • Re: [PR] [WIP][Experimental] feat: add `datafusion.execution.isolated_partitions` for distributed-safe join selection [datafusion] via GitHub
  • Re: [PR] [WIP][Experimental] feat: add `datafusion.execution.isolated_partitions` for distributed-safe join selection [datafusion] via GitHub
  • Re: [PR] [WIP][Experimental] feat: add `datafusion.execution.isolated_partitions` for distributed-safe join selection [datafusion] via GitHub
• Re: [PR] fix: [branch-1.1] restore Spark write execs when reverting transition-heavy stages [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-1.1] restore Spark write execs when reverting transition-heavy stages [datafusion-comet] via GitHub
  • Re: [PR] fix: [branch-1.1] restore Spark write execs when reverting transition-heavy stages [datafusion-comet] via GitHub
• Re: [I] Draft the Apache Comet proposal and board resolution [datafusion-comet] via GitHub
• Re: [PR] feat: run broadcast joins natively when an unsupported scan is on the build side [datafusion-comet] via GitHub
  • Re: [PR] feat: run broadcast joins natively when an unsupported scan is on the build side [datafusion-comet] via GitHub
  • Re: [PR] feat: run broadcast joins natively when an unsupported scan is on the build side [datafusion-comet] via GitHub
• [PR] [WIP][Experimental] feat: use DataFusion's `isolated_partitions` option for broadcast-safe join selection [datafusion-ballista] via GitHub
• Re: [PR] fix: update quinn-proto to resolve cargo audit failures [datafusion] via GitHub
• [PR] chore(deps): bump actions/download-artifact from 8.0.1 to 8.0.2 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump actions/download-artifact from 8.0.1 to 8.0.2 [datafusion] via GitHub
• Re: [PR] docs: add proposal to establish Apache Comet as a top-level project [datafusion-comet] via GitHub
• [PR] Fix volatile projection filter pushdown [datafusion] via GitHub
• [PR] build: use a single jni version across the native workspace [datafusion-comet] via GitHub
  • Re: [PR] build: use a single jni version across the native workspace [datafusion-comet] via GitHub
• Re: [PR] fix: keep build-side input order across batches in hash join [datafusion] via GitHub
  • Re: [PR] fix: keep build-side input order across batches in hash join [datafusion] via GitHub
  • Re: [PR] fix: keep build-side input order across batches in hash join [datafusion] via GitHub
  • Re: [PR] fix: keep build-side input order across batches in hash join [datafusion] via GitHub
  • Re: [PR] fix: keep build-side input order across batches in hash join [datafusion] via GitHub
  • Re: [PR] fix: keep build-side input order across batches in hash join [datafusion] via GitHub
  • Re: [PR] fix: keep build-side input order across batches in hash join [datafusion] via GitHub
  • Re: [PR] fix: keep build-side input order across batches in hash join [datafusion] via GitHub
  • Re: [PR] fix: keep build-side input order across batches in hash join [datafusion] via GitHub
• Re: [PR] refactor(core): drain and size the sort-shuffle buffer through BufferedBatches [datafusion-ballista] via GitHub
  • Re: [PR] refactor(core): drain and size the sort-shuffle buffer through BufferedBatches [datafusion-ballista] via GitHub
• Re: [PR] feat: derive SortMergeJoin sort options from input ordering and allow SMJ for a single partition [datafusion] via GitHub
  • Re: [PR] feat: derive SortMergeJoin sort options from input ordering and allow SMJ for a single partition [datafusion] via GitHub
  • Re: [PR] feat: derive SortMergeJoin sort options from input ordering and allow SMJ for a single partition [datafusion] via GitHub
• [PR] feat(benchmarks): prototype adaptive hash join mode selection (AQE) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
  • Re: [PR] feat: pick hash join mode at runtime from the build side (AQE without stages) [datafusion] via GitHub
• Re: [PR] MySQL: Add support for `ZEROFILL` on numeric data types [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] MySQL: Add support for `ZEROFILL` on numeric data types [datafusion-sqlparser-rs] via GitHub
• Re: [I] `DFSchema` column lookup is a linear scan, making logical planning and type coercion quadratic in schema width [datafusion] via GitHub
• Re: [PR] fix(docker): deliver SIGTERM to the Ballista processes in the images [datafusion-ballista] via GitHub
  • Re: [PR] fix(docker): deliver SIGTERM to the Ballista processes in the images [datafusion-ballista] via GitHub
  • Re: [PR] fix(docker): deliver SIGTERM to the Ballista processes in the images [datafusion-ballista] via GitHub
  • Re: [PR] fix(docker): deliver SIGTERM to the Ballista processes in the images [datafusion-ballista] via GitHub
  • Re: [PR] fix(docker): deliver SIGTERM to the Ballista processes in the images [datafusion-ballista] via GitHub
  • Re: [PR] fix(docker): deliver SIGTERM to the Ballista processes in the images [datafusion-ballista] via GitHub
• Re: [I] ListingTable handling of missing partition values [datafusion] via GitHub
• [I] Howard Hinnant civil-date algorithms hand-written 7 times across 3 crates [datafusion-comet] via GitHub
• Re: [PR] Allow the `HLLAccumulator` used by `approx_distinct()` to consume state produced by `HllGroupsAccumulator` [datafusion] via GitHub
  • Re: [PR] Allow the `HLLAccumulator` used by `approx_distinct()` to consume state produced by `HllGroupsAccumulator` [datafusion] via GitHub
• Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
  • Re: [PR] feat: skip hash shuffle for date_bin/date_trunc on Range([timestamp]) [datafusion] via GitHub
• Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
  • Re: [PR] refactor: use group clustering terminology in aggregate execution [datafusion] via GitHub
• Re: [PR] feat: allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
  • Re: [PR] feat: allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
  • Re: [PR] feat: allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
  • Re: [PR] feat: allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
  • Re: [PR] feat: allow extension `ExecutionPlan`s to decode via a per-type registry instead of `PhysicalExtensionCodec` [datafusion] via GitHub
• Re: [PR] docs: add draft proposal to establish Apache Comet as a top-level project [datafusion-comet] via GitHub
• Re: [PR] feat(optimizer): coalesce peer first_value / last_value into a single struct aggregate [datafusion] via GitHub
• Re: [PR] fix: preserve Spark nested null ordering in native sort [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark nested null ordering in native sort [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark nested null ordering in native sort [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark nested null ordering in native sort [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark nested null ordering in native sort [datafusion-comet] via GitHub
  • Re: [PR] fix: preserve Spark nested null ordering in native sort [datafusion-comet] via GitHub
• Re: [PR] DiskManager: include the description in file names [datafusion] via GitHub
  • Re: [PR] DiskManager: include the description in file names [datafusion] via GitHub
  • Re: [PR] DiskManager: include the description in file names [datafusion] via GitHub
  • Re: [PR] DiskManager: include the description in file names [datafusion] via GitHub
• [PR] perf(pwmj): build output batches from buffered runs and one streamed … [datafusion] via GitHub
  • Re: [PR] perf(pwmj): build output batches from buffered runs and one streamed … [datafusion] via GitHub
  • Re: [PR] perf(pwmj): build output batches from buffered runs and one streamed … [datafusion] via GitHub
• Re: [PR] perf: compare nested ScalarValues by type before converting to ArrayData [datafusion] via GitHub
  • Re: [PR] perf: compare nested ScalarValues by type before converting to ArrayData [datafusion] via GitHub
  • Re: [PR] perf: compare nested ScalarValues by type before converting to ArrayData [datafusion] via GitHub
• Re: [I] Improve Performance (Polars 2.0 Call to Action) [datafusion] via GitHub
  • Re: [I] Improve Performance (Polars 2.0 Call to Action) [datafusion] via GitHub
  • Re: [I] Improve Performance (Polars 2.0 Call to Action) [datafusion] via GitHub
  • Re: [I] Improve Performance (Polars 2.0 Call to Action) [datafusion] via GitHub
  • Re: [I] Improve Performance (Polars 2.0 Call to Action) [datafusion] via GitHub
  • Re: [I] Improve Performance (Polars 2.0 Call to Action) [datafusion] via GitHub
  • Re: [I] Improve Performance (Polars 2.0 Call to Action) [datafusion] via GitHub
  • Re: [I] Improve Performance (Polars 2.0 Call to Action) [datafusion] via GitHub
  • Re: [I] Improve Performance (Polars 2.0 Call to Action) [datafusion] via GitHub
• Re: [PR] feat: make native Iceberg writes opt-in for 1.2.0 [datafusion-comet] via GitHub
• Re: [PR] fix: coalesce the merged key of RIGHT/FULL USING/NATURAL joins [datafusion] via GitHub
• Re: [PR] Feat/map sql extension types [datafusion] via GitHub
  • Re: [PR] Feat/map sql extension types [datafusion] via GitHub
  • Re: [PR] Feat/map sql extension types [datafusion] via GitHub
  • Re: [PR] Feat/map sql extension types [datafusion] via GitHub
  • Re: [PR] Feat/map sql extension types [datafusion] via GitHub

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