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• • Re: [PR] feat: add ExecutionPlan::benefits_from_output_partitioning [datafusion] via GitHub
  • Re: [PR] feat: add ExecutionPlan::benefits_from_output_partitioning [datafusion] via GitHub
  • Re: [PR] feat: add ExecutionPlan::benefits_from_output_partitioning [datafusion] via GitHub
  • Re: [PR] feat: add ExecutionPlan::benefits_from_output_partitioning [datafusion] via GitHub
• [PR] DF54 follow-ups wave 1: SessionContext APIs, codec typing, test fixes [datafusion-python] via GitHub
  • Re: [PR] feat: expose variety of features from DF54 update [datafusion-python] via GitHub
  • Re: [PR] feat: expose variety of features from DF54 update [datafusion-python] via GitHub
  • Re: [PR] feat: expose variety of features from DF54 update [datafusion-python] via GitHub
  • Re: [PR] feat: expose variety of features from DF54 update [datafusion-python] via GitHub
  • Re: [PR] feat: expose variety of features from DF54 update [datafusion-python] via GitHub
• [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
  • Re: [PR] feat: lower repartition_file_min_size default from 10 MiB to 1 MiB [datafusion] via GitHub
• Re: [PR] Support distributed processing by pickling expressions [datafusion-python] via GitHub
  • Re: [PR] Support distributed processing by pickling expressions [datafusion-python] via GitHub
• [PR] feat: disable join dynamic filter pushdown by default [datafusion] via GitHub
  • Re: [PR] feat: disable join dynamic filter pushdown by default [datafusion] via GitHub
  • Re: [PR] feat: disable join dynamic filter pushdown by default [datafusion] via GitHub
  • Re: [PR] feat: disable join dynamic filter pushdown by default [datafusion] via GitHub
  • Re: [PR] feat: disable join dynamic filter pushdown by default [datafusion] via GitHub
  • Re: [PR] feat: disable join dynamic filter pushdown by default [datafusion] via GitHub
  • Re: [PR] feat: disable join dynamic filter pushdown by default [datafusion] via GitHub
  • Re: [PR] feat: disable join dynamic filter pushdown by default [datafusion] via GitHub
• Re: [PR] chore: Add existence (semi / anti ) benchmarks for hashjoinexec [datafusion] via GitHub
  • Re: [PR] chore: Add existence (semi / anti ) benchmarks for hashjoinexec [datafusion] via GitHub
  • Re: [PR] chore: Add existence (semi / anti ) benchmarks for hashjoinexec [datafusion] via GitHub
  • Re: [PR] chore: Add existence (semi / anti ) benchmarks for hashjoinexec [datafusion] via GitHub
  • Re: [PR] chore: Add existence (semi / anti ) benchmarks for hashjoinexec [datafusion] via GitHub
  • Re: [PR] chore: Add existence (semi / anti ) benchmarks for hashjoinexec [datafusion] via GitHub
• Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
  • Re: [PR] feat: vendor-pluggable S3 credentials for native scans [datafusion-comet] via GitHub
• Re: [PR] Fix: compact view buffers in ScalarValue::compact for all container t… [datafusion] via GitHub
  • Re: [PR] Fix: compact view buffers in ScalarValue::compact for all container t… [datafusion] via GitHub
  • Re: [PR] Fix: compact view buffers in ScalarValue::compact for all container t… [datafusion] via GitHub
  • Re: [PR] Fix: compact view buffers in ScalarValue::compact for all container t… [datafusion] via GitHub
• Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
  • Re: [PR] feat: Plumb Parquet virtual columns (row_number) through TableSchema and ParquetOpener [datafusion] via GitHub
• [PR] fix: make BloomFilter intermediate buffer Spark-compatible [datafusion-comet] via GitHub
  • Re: [PR] fix: make BloomFilter intermediate buffer Spark-compatible [datafusion-comet] via GitHub
  • Re: [PR] fix: make BloomFilter intermediate buffer Spark-compatible [datafusion-comet] via GitHub
  • Re: [PR] fix: make BloomFilter intermediate buffer Spark-compatible [datafusion-comet] via GitHub
  • Re: [PR] fix: make BloomFilter intermediate buffer Spark-compatible [datafusion-comet] via GitHub
  • Re: [PR] fix: make BloomFilter intermediate buffer Spark-compatible [datafusion-comet] via GitHub
• [PR] Revert "Add `ExecutionPlan::apply_expressions()` (#20337)" [datafusion] via GitHub
  • Re: [PR] Revert "Add `ExecutionPlan::apply_expressions()` (#20337)" [datafusion] via GitHub
  • Re: [PR] Revert "Add `ExecutionPlan::apply_expressions()` (#20337)" [datafusion] via GitHub
  • Re: [PR] Revert "Add `ExecutionPlan::apply_expressions()` (#20337)" [datafusion] via GitHub
• [I] Implement tiered CI approach [datafusion-comet] via GitHub
  • Re: [I] Implement tiered CI approach [datafusion-comet] via GitHub
  • Re: [I] Implement tiered CI approach [datafusion-comet] via GitHub
  • Re: [I] Implement tiered CI approach [datafusion-comet] via GitHub
  • Re: [I] Implement tiered CI approach [datafusion-comet] via GitHub
• Re: [I] Comet falls back to Spark for final hash aggregate in some cases when it could be supported [datafusion-comet] via GitHub
• Re: [I] AQE may materialize a non-supported Final-mode HashAggregate [datafusion-comet] via GitHub
• [PR] Improve accuracy of supports_string_literal_concatenation_with_newline [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Improve accuracy of supports_string_literal_concatenation_with_newline [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Improve accuracy of supports_string_literal_concatenation_with_newline [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Improve accuracy of supports_string_literal_concatenation_with_newline [datafusion-sqlparser-rs] via GitHub
• Re: [PR] fixing array length for empty array [datafusion] via GitHub
  • Re: [PR] fixing array length for empty array [datafusion] via GitHub
• [PR] test: fix probeComplexColumn in CometCodegenFuzzSuite [datafusion-comet] via GitHub
  • Re: [PR] test: fix merge conflicts in CodegenFuzzSuite and CodegenSuite [datafusion-comet] via GitHub
• [PR] feat: add user-facing CometUDF registration [datafusion-comet] via GitHub
  • Re: [PR] feat: add user-facing CometUDF registration [experimental] [datafusion-comet] via GitHub
  • Re: [PR] feat: add user-facing CometUDF registration [experimental] [datafusion-comet] via GitHub
  • Re: [PR] feat: add user-facing CometUDF registration [experimental] [datafusion-comet] via GitHub
  • Re: [PR] feat: add user-facing CometUDF registration [experimental] [datafusion-comet] via GitHub
• [PR] [codex] Enable array-to-string cast coverage for float and binary types [datafusion-comet] via GitHub
• Re: [I] design: DataFrame joins (join, joinOn) and the Java Expr question [datafusion-java] via GitHub
• Re: [PR] feat: add user-facing CometUDF registration for custom JVM UDFs [datafusion-comet] via GitHub
• [PR] chore: drop leftover JVM Parquet helpers and the native_datafusion scan name [datafusion-comet] via GitHub
  • Re: [PR] chore: drop leftover JVM Parquet helpers and the native_datafusion scan name [datafusion-comet] via GitHub
• Re: [PR] feat: Add experimental support for accelerated PyArrow UDFs [datafusion-comet] via GitHub
• [I] Add randomised fuzz harness for pyarrow UDF vector-copy path [datafusion-comet] via GitHub
• [PR] minor: move aqe executions plans to a directory [datafusion-ballista] via GitHub
  • Re: [PR] minor: move aqe executions plans to a directory [datafusion-ballista] via GitHub
• [I] Drop the per-batch Comet→Spark buffer copy in CometColumnarPythonInput [datafusion-comet] via GitHub
• [PR] chore: remove dead useDecimal128 plumbing [datafusion-comet] via GitHub
  • Re: [PR] chore: remove dead useDecimal128 plumbing [datafusion-comet] via GitHub
• [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
  • Re: [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
  • Re: [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
  • Re: [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
  • Re: [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
  • Re: [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
  • Re: [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
  • Re: [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
  • Re: [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
  • Re: [PR] Fix: Infer placeholder type from subquery [datafusion] via GitHub
• [PR] MySQL: Add support for group by with rollup [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] MySQL: Add support for group by with rollup [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Fix correlated subquery empty defaults for regr_count and approx_distinct [datafusion] via GitHub
  • Re: [PR] Fix correlated subquery empty defaults for regr_count and approx_distinct [datafusion] via GitHub
  • Re: [PR] Fix correlated subquery empty defaults for regr_count and approx_distinct [datafusion] via GitHub
  • Re: [PR] Fix correlated subquery empty defaults for regr_count and approx_distinct [datafusion] via GitHub
  • Re: [PR] Fix correlated subquery empty defaults for regr_count and approx_distinct [datafusion] via GitHub
  • Re: [PR] Fix correlated subquery empty defaults for regr_count and approx_distinct [datafusion] via GitHub
• [I] REST API to expose job runtime metrics [datafusion-ballista] via GitHub
  • Re: [I] REST API to expose job runtime metrics [datafusion-ballista] via GitHub
  • Re: [I] REST API to expose job runtime metrics [datafusion-ballista] via GitHub
  • Re: [I] REST API to expose job runtime metrics [datafusion-ballista] via GitHub
  • Re: [I] REST API to expose job runtime metrics [datafusion-ballista] via GitHub
  • Re: [I] REST API to expose job runtime metrics [datafusion-ballista] via GitHub
• Re: [I] Add Parquet column index support [datafusion-comet] via GitHub
  • Re: [I] Add Parquet column index support [datafusion-comet] via GitHub
• Re: [I] perf: only check Parquet type once in NativeBatchReader [datafusion-comet] via GitHub
  • Re: [I] perf: only check Parquet type once in NativeBatchReader [datafusion-comet] via GitHub
• Re: [I] bitpacking is not using SIMD [datafusion-comet] via GitHub
  • Re: [I] bitpacking is not using SIMD [datafusion-comet] via GitHub
• [I] Iceberg 1.11 support [datafusion-comet] via GitHub
• Re: [PR] feat(experimental): ScalaUDF and Java UDF support via Janino codegen [datafusion-comet] via GitHub
• Re: [PR] fix: reject readBatch(0) in ArrowConstantColumnReader [datafusion-comet] via GitHub
  • Re: [PR] fix: reject readBatch(0) in ArrowConstantColumnReader [datafusion-comet] via GitHub
• [I] Upgrade Spark 4.1.1 to 4.1.2 [datafusion-comet] via GitHub
• [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `HashTableLookupExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `ScalarSubqueryExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `ScalarSubqueryExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `ScalarSubqueryExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `ScalarSubqueryExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `DynamicFilterPhysicalExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `DynamicFilterPhysicalExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `DynamicFilterPhysicalExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `DynamicFilterPhysicalExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `LikeExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `LikeExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `LikeExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `HashExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `HashExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `ScalarFunctionExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `ScalarFunctionExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `TryCastExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `TryCastExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `TryCastExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `Literal` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `Literal` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `CastExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `CastExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `CastExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `CastExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `NegativeExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `NegativeExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `NegativeExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `UnKnownColumn` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `UnKnownColumn` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `UnKnownColumn` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `UnKnownColumn` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `IsNotNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `IsNotNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `IsNotNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `IsNotNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `InListExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `InListExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `InListExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `IsNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `IsNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `IsNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `IsNullExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
• [I] Port `CaseExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `CaseExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub
  • Re: [I] Port `CaseExpr` to use `try_to_proto` / `try_from_proto` [datafusion] via GitHub

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