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• • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
  • Re: [PR] Optimize Dictionary groupings [datafusion] via GitHub
• Re: [PR] feat: Add `auto_explain` mode [datafusion] via GitHub
• Re: [PR] [vibebench] feat: implement GroupJoin optimization (Moerkotte & Neumann, VLDB 2011) [datafusion] via GitHub
• Re: [PR] perf: optimize `map_extract` function lookup for common key types [datafusion] via GitHub
• Re: [PR] Reapply "Fix/support duplicate column names" [datafusion] via GitHub
  • Re: [PR] Reapply "Fix/support duplicate column names" [datafusion] via GitHub
• Re: [PR] bench: add benchmark for map_extract function [datafusion] via GitHub
• Re: [PR] fix(spark): preserve raw number text in `json_tuple` to match Spark [datafusion] via GitHub
• Re: [PR] feat: transitive predicate propagation across multi-table join chains [datafusion] via GitHub
• Re: [PR] [datafusion-functions-aggregate]: add ordered first_last tests [datafusion] via GitHub
• Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
  • Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
• Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
  • Re: [PR] multi dictionary benchmarks [datafusion] via GitHub
• [PR] bug: fix empty projection serde ambiguity bug [datafusion-ballista] via GitHub
  • Re: [PR] bug: fix empty projection serde ambiguity bug [datafusion-ballista] via GitHub
• Re: [I] Enable external operator reclaim / spill hooks for external memory managers [datafusion] via GitHub
• [PR] PostgreSQL: support right-deep join chains (deferred ON clauses) [datafusion-sqlparser-rs] via GitHub
• Re: [I] bug: datafusion-spark string literals don't interpret escape sequences like Spark [datafusion] via GitHub
• Re: [PR] fix: address escape literal issue #21516 [datafusion] via GitHub
  • Re: [PR] fix: address escape literal issue #21516 [datafusion] via GitHub
• [PR] Support spilling for WindowAggExec [datafusion] via GitHub
  • Re: [PR] Support spilling for WindowAggExec [datafusion] via GitHub
  • Re: [PR] Support spilling for WindowAggExec [datafusion] via GitHub
• [I] Support spilling for WindowAggExec [datafusion] via GitHub
  • Re: [I] Support spilling for WindowAggExec [datafusion] via GitHub
  • Re: [I] Support spilling for WindowAggExec [datafusion] via GitHub
  • Re: [I] Support spilling for WindowAggExec [datafusion] via GitHub
  • Re: [I] Support spilling for WindowAggExec [datafusion] via GitHub
  • Re: [I] Support spilling for WindowAggExec [datafusion] via GitHub
• Re: [I] Support additive schema evolution for `List<Struct>` / nested container types in Parquet scans [datafusion] via GitHub
  • Re: [I] Support additive schema evolution for `List<Struct>` / nested container types in Parquet scans [datafusion] via GitHub
• Re: [I] [Spark] SparkWidthBucket return_type is Int32, should be Int64 to match Spark [datafusion] via GitHub
  • Re: [I] [Spark] SparkWidthBucket return_type is Int32, should be Int64 to match Spark [datafusion] via GitHub
• Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
  • Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
  • Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
  • Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
  • Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
  • Re: [I] Optimize object store accesses for the CSV scanner [datafusion] via GitHub
• Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
  • Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
  • Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
  • Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
  • Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
  • Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
  • Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
  • Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
  • Re: [I] Support logical protobuf serialization for range repartitioning [datafusion] via GitHub
• Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
  • Re: [I] Ballista 53.0.0 — `BatchCoalescer expects 0 columns` on TPCDS Q9 [datafusion-ballista] via GitHub
• Re: [PR] feat(physical-plan): add GroupColumn support for FixedSizeList / List / LargeList / Struct in multi-column GROUP BY [datafusion] via GitHub
  • Re: [PR] feat(physical-plan): add GroupColumn support for FixedSizeList / List / LargeList / Struct in multi-column GROUP BY [datafusion] via GitHub
• Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
  • Re: [PR] feat(parquet): runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
• [I] Discussion: remove incompatible native implementations that have a codegen dispatch fallback? [datafusion-comet] via GitHub
  • Re: [I] Discussion: remove incompatible native implementations that have a codegen dispatch fallback? [datafusion-comet] via GitHub
  • Re: [I] Discussion: remove incompatible native implementations that have a codegen dispatch fallback? [datafusion-comet] via GitHub
• Re: [I] Accurately reserve memory in the build side of hash joins [datafusion] via GitHub
• [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
  • Re: [PR] feat: Re-spill sort stream if unable to reserve for 2 streams [datafusion] via GitHub
• Re: [PR] fix(postgres): treat FULLTEXT and SPATIAL as unreserved identifiers [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] fix(postgres): treat FULLTEXT and SPATIAL as unreserved identifiers [datafusion-sqlparser-rs] via GitHub
• Re: [PR] feat: Prune complex/nested predicates via statistics propagation [datafusion] via GitHub
  • Re: [PR] feat: Prune complex/nested predicates via statistics propagation [datafusion] via GitHub
• Re: [I] Replace manual memory tracking with Arrow claim()/with_pool() integration [datafusion] via GitHub
  • Re: [I] Replace manual memory tracking with Arrow claim()/with_pool() integration [datafusion] via GitHub
• Re: [PR] feat: Use NativeType in get_example_type, information schema [datafusion] via GitHub
• Re: [I] TRY_CAST returns an error instead of NULL for timestamp/date overflow [datafusion] via GitHub
• Re: [PR] chore: attach Diagnostic to unary operator type errors [datafusion] via GitHub
  • Re: [PR] chore: attach Diagnostic to unary operator type errors [datafusion] via GitHub
  • Re: [PR] chore: attach Diagnostic to unary operator type errors [datafusion] via GitHub
  • Re: [PR] chore: attach Diagnostic to unary operator type errors [datafusion] via GitHub
• Re: [PR] feat: early group emission with emit+reset for partial aggregation [datafusion] via GitHub
  • Re: [PR] feat: early group emission with emit+reset for partial aggregation [datafusion] via GitHub
• Re: [PR] Centralize relation-scope binding and enforce duplicate alias validation in SQL planner [datafusion] via GitHub
  • Re: [PR] Centralize relation-scope binding and enforce duplicate alias validation in SQL planner [datafusion] via GitHub
• [I] OpenLineage support [datafusion] via GitHub
  • Re: [I] OpenLineage support [datafusion] via GitHub
• [PR] build(deps): bump arrow-schema from 58.3.0 to 59.0.0 [datafusion-python] via GitHub
• [PR] build(deps): bump arrow from 58.3.0 to 59.0.0 [datafusion-python] via GitHub
• [PR] build(deps): bump arrow-select from 58.3.0 to 59.0.0 [datafusion-python] via GitHub
• [PR] build(deps): bump prost from 0.14.3 to 0.14.4 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump prost from 0.14.3 to 0.14.4 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump prost from 0.14.3 to 0.14.4 [datafusion-python] via GitHub
• [PR] build(deps): bump arrow-array from 58.3.0 to 59.0.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump uuid from 1.23.2 to 1.23.3 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump uuid from 1.23.2 to 1.23.3 [datafusion-python] via GitHub
  • [PR] build(deps): bump uuid from 1.23.2 to 1.23.3 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump uuid from 1.23.2 to 1.23.3 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump uuid from 1.23.2 to 1.23.3 [datafusion-python] via GitHub
• [PR] build(deps): bump pyo3-log from 0.13.3 to 0.13.4 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump pyo3-log from 0.13.3 to 0.13.4 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump pyo3-log from 0.13.3 to 0.13.4 [datafusion-python] via GitHub
• Re: [PR] chore: Add join benchmarks [datafusion-comet] via GitHub
  • Re: [PR] chore: Add join benchmarks [datafusion-comet] via GitHub
  • Re: [PR] chore: Add join benchmarks [datafusion-comet] via GitHub
• [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
  • Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
  • Re: [PR] fix: graceful error for deeply nested expressions instead of stack overflow [datafusion] via GitHub
• [PR] fix: surface SparkArithmeticException(DIVIDE_BY_ZERO) for divide-by-zero in dispatched ScalaUDF path [datafusion-comet] via GitHub
  • Re: [PR] fix: surface SparkArithmeticException(DIVIDE_BY_ZERO) for divide-by-zero in dispatched ScalaUDF path [datafusion-comet] via GitHub
  • Re: [PR] fix: surface SparkArithmeticException(DIVIDE_BY_ZERO) for divide-by-zero in dispatched ScalaUDF path [datafusion-comet] via GitHub
  • Re: [PR] fix: surface SparkArithmeticException(DIVIDE_BY_ZERO) for divide-by-zero in dispatched ScalaUDF path [datafusion-comet] via GitHub
• Re: [PR] feat: add Spark-compatible arrays_zip function [datafusion] via GitHub

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