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• • Re: [PR] Fix extension type metadata propagation through casts [datafusion] via GitHub
  • Re: [PR] Fix extension type metadata propagation through casts [datafusion] via GitHub
• Re: [PR] Benchmark multi-column GROUP BY performance [datafusion] via GitHub
  • Re: [PR] Benchmark multi-column GROUP BY performance [datafusion] via GitHub
  • Re: [PR] Benchmark multi-column GROUP BY performance [datafusion] via GitHub
  • Re: [PR] Benchmark multi-column GROUP BY performance [datafusion] via GitHub
  • Re: [PR] Benchmark multi-column GROUP BY performance [datafusion] via GitHub
• Re: [PR] Feat/map sql extension types [datafusion] via GitHub
  • Re: [PR] Feat/map sql extension types [datafusion] via GitHub
• [PR] chore(deps): bump serde_json from 1.0.149 to 1.0.150 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump serde_json from 1.0.149 to 1.0.150 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.79.3 to 2.79.4 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.79.3 to 2.79.4 [datafusion-ballista] via GitHub
• Re: [PR] fix: lag i64::MIN offset overflow [datafusion] via GitHub
  • Re: [PR] fix: lag i64::MIN offset overflow [datafusion] via GitHub
• Re: [PR] feat(datetime): prototype JVM UDF path for Hour/Minute/Second (engine=java) [datafusion-comet] via GitHub
• [PR] feat(parquet): apply TopK threshold to row-group statistics mid-scan [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
• [PR] Update aws_options.snap [datafusion] via GitHub
  • Re: [PR] Update aws_options.snap [datafusion] via GitHub
• Re: [I] Split proto serialization to encapsulate private state [datafusion] via GitHub
• [PR] [codex] Upgrade Spark 4.1 to 4.1.2 [datafusion-comet] via GitHub
  • Re: [PR] build: upgrade Spark 4.1 to 4.1.2 [datafusion-comet] via GitHub
• Re: [I] Add hdfs experimental support for native iceberg_compat reader [datafusion-comet] via GitHub
  • Re: [I] Add hdfs experimental support for native iceberg_compat reader [datafusion-comet] via GitHub
• Re: [I] Can we avoid JVM round-trips in some cases for `native_iceberg_compat` scans? [datafusion-comet] via GitHub
  • Re: [I] Can we avoid JVM round-trips in some cases for `native_iceberg_compat` scans? [datafusion-comet] via GitHub
• Re: [PR] `MiMalloc` for `sqllogictests` [datafusion] via GitHub
  • Re: [PR] `MiMalloc` for `sqllogictests` [datafusion] via GitHub
• Re: [PR] feat: support optional threshold parameter for levenshtein function [datafusion] via GitHub
• Re: [I] [iceberg] Comet iceberg requires lazy materialization to be turned off [datafusion-comet] via GitHub
• Re: [I] [iceberg] Iceberg data files not found when Comet vectorized reader is enabled [datafusion-comet] via GitHub
• Re: [I] Various issues with Comet support for HashAggregateExec [datafusion-comet] via GitHub
  • Re: [I] Various issues with Comet support for HashAggregateExec [datafusion-comet] via GitHub
• Re: [I] [EPIC] Improve planning of hash aggregates [datafusion-comet] via GitHub
  • Re: [I] [EPIC] Improve planning of hash aggregates [datafusion-comet] via GitHub
• [PR] feat: Implement TimeType support - Infrastructure - shuffle [datafusion-comet] via GitHub
  • Re: [PR] feat: Implement TimeType support - Infrastructure - shuffle [datafusion-comet] via GitHub
  • Re: [PR] feat: Implement TimeType support - Infrastructure - shuffle [datafusion-comet] via GitHub
• [I] perf: Use bulk-NULL builders in split and substring [datafusion-comet] via GitHub
  • Re: [I] perf: Use bulk-NULL builders in split and substring [datafusion-comet] via GitHub
• [I] Implement TimeType support: Infrastructure - shuffle [datafusion-comet] via GitHub
  • Re: [I] Implement TimeType support: Infrastructure - shuffle [datafusion-comet] via GitHub
• [PR] fix: float <-> decimal coercion should coerce to float [datafusion] via GitHub
• Re: [I] Coercion between floating point types and exact numeric types should result in floating point type as the common super type [datafusion] via GitHub
• [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
  • Re: [I] `recompute_schema()` is broken with `LogicalPlan::Union` [datafusion] via GitHub
• [PR] [branch-54] Fix: compact view buffers in ScalarValue::compact for all container types (#21934) [datafusion] via GitHub
  • Re: [PR] [branch-54] Fix: compact view buffers in ScalarValue::compact for all container types (#21934) [datafusion] via GitHub
  • Re: [PR] [branch-54] Fix: compact view buffers in ScalarValue::compact for all container types (#21934) [datafusion] via GitHub
• Re: [PR] fix: respect Parquet column order when pruning [datafusion] via GitHub
• Re: [I] ScalarValue::compacted() does not free unused view-buffer memory for Utf8View / BinaryView arrays [datafusion] via GitHub
• [PR] [branch-54] Revert "Add `ExecutionPlan::apply_expressions()` (#20337)" (#22437) [datafusion] via GitHub
  • Re: [PR] [branch-54] Revert "Add `ExecutionPlan::apply_expressions()` (#20337)" (#22437) [datafusion] via GitHub
  • Re: [PR] [branch-54] Revert "Add `ExecutionPlan::apply_expressions()` (#20337)" (#22437) [datafusion] via GitHub
• Re: [I] [DISCUSS] Simplify regex engine + incompatibility config model [datafusion-comet] via GitHub
• Re: [I] Add ExistenceJoin support to Comet native execution [datafusion-comet] via GitHub
• [PR] fix: handle `IS TRUE` properly in `EliminateOuterJoin` [datafusion] via GitHub
  • Re: [PR] fix: handle `IS TRUE` correctly in `EliminateOuterJoin` [datafusion] via GitHub
  • Re: [PR] fix: handle `IS TRUE` correctly in `EliminateOuterJoin` [datafusion] via GitHub
  • Re: [PR] fix: handle `IS TRUE` correctly in `EliminateOuterJoin` [datafusion] via GitHub
  • Re: [PR] fix: handle `IS TRUE` correctly in `EliminateOuterJoin` [datafusion] via GitHub
  • Re: [PR] fix: handle `IS TRUE` correctly in `EliminateOuterJoin` [datafusion] via GitHub
  • Re: [PR] fix: handle `IS TRUE` correctly in `EliminateOuterJoin` [datafusion] via GitHub
• [I] Recover q83 broadcast/subquery reuse lost by CometBroadcastExchangeExec.doCanonicalize fix in #4374 [datafusion-comet] via GitHub
  • Re: [I] Recover q83 broadcast/subquery reuse lost by CometBroadcastExchangeExec.doCanonicalize fix in #4374 [datafusion-comet] via GitHub
  • Re: [I] Recover q83 broadcast/subquery reuse lost by CometBroadcastExchangeExec.doCanonicalize fix in #4374 [datafusion-comet] via GitHub
• Re: [I] Placeholder datatype not inferred for `Expr::InSubquery` [datafusion] via GitHub
• Re: [PR] feat: Support Spark Expression Encode [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark Expression Encode [datafusion-comet] via GitHub
• [PR] chore: Datafusion 54 upgrade [datafusion-comet] via GitHub
  • Re: [PR] chore: Datafusion 54 upgrade [datafusion-comet] via GitHub
  • Re: [PR] chore: Datafusion 54 upgrade [datafusion-comet] via GitHub
  • Re: [PR] chore: Datafusion 54 upgrade [datafusion-comet] via GitHub
• Re: [PR] Return None for cardinality overflow [datafusion] via GitHub
  • Re: [PR] Return None for cardinality overflow [datafusion] via GitHub
  • Re: [PR] Return None for cardinality overflow [datafusion] via GitHub
  • Re: [PR] Return None for cardinality overflow [datafusion] via GitHub
  • Re: [PR] Return None for cardinality overflow [datafusion] via GitHub
  • 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

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