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• • Re: [PR] Return None for cardinality overflow [datafusion] via GitHub
• Re: [PR] perf: apply min-alloc split to ByteViewGroupValueBuilder::take_n (follow-up to #22165) [datafusion] via GitHub
  • Re: [PR] perf: apply min-alloc split to ByteViewGroupValueBuilder::take_n (follow-up to #22165) [datafusion] via GitHub
• [PR] [branch-54]: Backport 22404. Fix Spark slice function on negative OOB [datafusion] via GitHub
  • Re: [PR] [branch-54]: Backport 22404. Fix Spark slice function on negative OOB [datafusion] via GitHub
  • Re: [PR] [branch-54]: Backport 22404. Fix Spark slice function on negative OOB [datafusion] via GitHub
• [PR] [df54]: Backport 22404. Fix Spark `slice` function on negative OOB [datafusion] via GitHub
  • Re: [PR] [branch-54]: Backport 22404. Fix Spark `slice` function on negative OOB [datafusion] via GitHub
• [I] Outer join elimination does not handle `IS TRUE` correctly [datafusion] via GitHub
  • Re: [I] Outer join elimination does not handle `IS TRUE` correctly [datafusion] via GitHub
  • Re: [I] Outer join elimination does not handle `IS TRUE` correctly [datafusion] via GitHub
• [PR] feat: enable CometLocalTableScanExec by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable CometLocalTableScanExec by default [datafusion-comet] via GitHub
  • Re: [PR] feat: enable CometLocalTableScanExec by default [datafusion-comet] via GitHub
• Re: [I] Comet JVM UDF implementations cannot be created in `spark` module [datafusion-comet] via GitHub
  • Re: [I] Comet JVM UDF implementations cannot be created in `spark` module [datafusion-comet] via GitHub
• Re: [I] Add support for native custom scalar UDFs [datafusion-comet] via GitHub
  • Re: [I] Add support for native custom scalar UDFs [datafusion-comet] via GitHub
• Re: [PR] fix(udf): declare scalar UDF signatures with Field, not ArrowType [datafusion-java] via GitHub
  • Re: [PR] fix(udf): declare scalar UDF signatures with Field, not ArrowType [datafusion-java] via GitHub
  • Re: [PR] fix(udf): declare scalar UDF signatures with Field, not ArrowType [datafusion-java] via GitHub
  • Re: [PR] fix(udf): declare scalar UDF signatures with Field, not ArrowType [datafusion-java] via GitHub
• Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
• [PR] Df54 [datafusion-comet] via GitHub
  • Re: [PR] chore: df54 sync [datafusion-comet] via GitHub
• [PR] chore: datafusion 54 sync [datafusion-comet] via GitHub
  • Re: [PR] chore: datafusion 54 sync [datafusion-comet] via GitHub
• Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
  • Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
  • Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
  • Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
  • Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
  • Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
  • Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
  • Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
  • Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
• [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
  • 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
  • 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: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
  • Re: [PR] Push down topk through join [datafusion] via GitHub
• Re: [I] design: DataFrame joins (join, joinOn) and the Java Expr question [datafusion-java] via GitHub
• Re: [PR] feat(dataframe): add join, joinOn, and JoinType [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
• Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [datafusion] via GitHub
  • Re: [PR] perf: optimize array_remove for scalar needle [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

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