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• Re: [I] Runtime row-group early stop via TopK dynamic filter [datafusion] via GitHub
• [PR] fix: gate element_at input types [datafusion-comet] via GitHub
  • Re: [PR] fix: gate element_at input types [datafusion-comet] via GitHub
  • Re: [PR] fix: gate element_at input types [datafusion-comet] via GitHub
• Re: [I] Release DataFusion `54.1.0` (minor/patch) Release [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.1.0` (minor/patch) Release [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.1.0` (minor/patch) Release [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.1.0` (minor/patch) Release [datafusion] via GitHub
  • Re: [I] Release DataFusion `54.1.0` (minor/patch) Release [datafusion] via GitHub
• [I] Improve python/Cargo.lock drifts - CI deps [datafusion-ballista] via GitHub
  • Re: [I] Improve python/Cargo.lock drifts - CI deps [datafusion-ballista] via GitHub
  • Re: [I] Improve python/Cargo.lock drifts - CI deps [datafusion-ballista] via GitHub
• [PR] chore(deps): bump log from 0.4.32 to 0.4.33 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump log from 0.4.32 to 0.4.33 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.82.0 to 2.82.2 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.82.0 to 2.82.2 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump ratatui from 0.30.1 to 0.30.2 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump ratatui from 0.30.1 to 0.30.2 [datafusion-ballista] via GitHub
• [PR] Handle nulls in type coercion of higher-order UDFs, map_extract, spark repeat [datafusion] via GitHub
  • Re: [PR] Handle nulls in type coercion of higher-order UDFs, map_extract, spark repeat [datafusion] via GitHub
  • Re: [PR] Handle nulls in type coercion of higher-order UDFs, map_extract, spark repeat [datafusion] via GitHub
  • Re: [PR] Handle nulls in type coercion of higher-order UDFs, map_extract, spark repeat [datafusion] via GitHub
  • Re: [PR] Handle nulls in type coercion of higher-order UDFs, map_extract, spark repeat [datafusion] via GitHub
• [PR] feat: add %%sql --limit and --no-display support [datafusion-ballista] via GitHub
  • Re: [PR] feat: add %%sql --limit and --no-display support [datafusion-ballista] via GitHub
  • Re: [PR] feat: add %%sql --limit and --no-display support [datafusion-ballista] via GitHub
  • Re: [PR] feat: add %%sql --limit and --no-display support [datafusion-ballista] via GitHub
  • Re: [PR] feat: add %%sql --limit and --no-display support [datafusion-ballista] via GitHub
• Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
  • Re: [PR] Add basic sql benchmark runner for running sql benchmarks [datafusion] via GitHub
• Re: [D] Delta Contribution Review Plan [datafusion-comet] via GitHub
• Re: [PR] feat: Extend `sqllogictest` framework to uptake custom `datafusion.format.*` settings [datafusion] via GitHub
• Re: [I] pref: Use builtin compression for arrow ipc writer [datafusion-comet] via GitHub
  • Re: [I] pref: Use builtin compression for arrow ipc writer [datafusion-comet] via GitHub
  • Re: [I] pref: Use builtin compression for arrow ipc writer [datafusion-comet] via GitHub
• Re: [I] TopK early-exit doesn't fire when a partition's local heap is empty but the shared dynamic filter is already tight [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
• [PR] add benchmarks for single column group-values traits [datafusion] via GitHub
  • Re: [PR] add benchmarks for single column group-values traits [datafusion] via GitHub
  • Re: [PR] add benchmarks for single column group-values traits [datafusion] via GitHub
  • Re: [PR] add benchmarks for single column group-values traits [datafusion] via GitHub
  • Re: [PR] add benchmarks for single column group-values traits [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] feat: support string to numeric coercion for arithmetic operators [datafusion] via GitHub
• Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
  • Re: [PR] feat: Add Native Support for In-Memory Cache [datafusion-comet] via GitHub
• [PR] build(deps): bump actions/checkout from 6 to 7 [datafusion-python] via GitHub
• Re: [I] [Feature] support concat() for BinaryType and ArrayType inputs [datafusion-comet] via GitHub
• Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
  • Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
  • Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
  • Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
  • Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
  • Re: [PR] refactor: return Result from fallible catalog and schema methods [datafusion] via GitHub
• Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
  • Re: [PR] fix: Preserve integer values in round() for large Int64 and UInt64 inputs [datafusion] via GitHub
• [PR] Add ScalarUDF preserves_lex_ordering FFI support [datafusion] via GitHub
  • Re: [PR] Add ScalarUDF preserves_lex_ordering FFI support [datafusion] via GitHub
  • Re: [PR] Add ScalarUDF preserves_lex_ordering FFI support [datafusion] via GitHub
• [PR] fix: gate str_to_map collations [datafusion-comet] via GitHub
  • Re: [PR] fix: gate str_to_map collations [datafusion-comet] via GitHub
• Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
  • Re: [PR] Avoid concatenating record batches in joins [datafusion] via GitHub
• [I] Bug in lambda variable resolution [datafusion] via GitHub
  • Re: [I] Bug in lambda variable resolution [datafusion] via GitHub
  • Re: [I] Bug in lambda variable resolution [datafusion] via GitHub
  • Re: [I] Bug in lambda variable resolution [datafusion] via GitHub
• Re: [PR] feat: Implement map-to-string casting [datafusion-comet] via GitHub
  • Re: [PR] feat: Implement map-to-string casting [datafusion-comet] via GitHub
• Re: [PR] feat: add Spark-compatible arrays_zip function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible arrays_zip function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible arrays_zip function [datafusion] via GitHub
  • Re: [PR] feat: add Spark-compatible arrays_zip function [datafusion] via GitHub
• Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
  • Re: [I] Call for Presentations: Community Showcase: Regular series for sharing what you're building with DataFusion [datafusion] via GitHub
• Re: [I] Support map type casting for numeric type and null type element [datafusion-comet] via GitHub
• Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
  • Re: [PR] feat(parquet): intra-file early stopping via statistics + dynamic filters [datafusion] via GitHub
• Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
  • Re: [I] Binary string (`BYTEA`, `Binary`) concatenation [datafusion] via GitHub
• [I] [Follow-up #22450] Per-RG `fully_matched` RowFilter skip · needs arrow-rs#10158 (`peek_next_row_group`) [datafusion] via GitHub
  • Re: [I] [Follow-up #22450] Per-RG `fully_matched` RowFilter skip · needs arrow-rs#10158 (`peek_next_row_group`) [datafusion] via GitHub
  • Re: [I] [Follow-up #22450] Per-RG `fully_matched` RowFilter skip · needs arrow-rs#10158 (`peek_next_row_group`) [datafusion] via GitHub
• Re: [PR] feat: support mixed binary and string types for concat UDFs [datafusion] via GitHub
  • Re: [PR] feat: support mixed binary and string types for concat UDFs [datafusion] via GitHub
• [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
  • Re: [PR] feat: cap spill merge fan-in [datafusion] via GitHub
• [PR] feat: add native GroupsAccumulator for any_value [datafusion] via GitHub
  • Re: [PR] feat: add native GroupsAccumulator for any_value [datafusion] via GitHub
  • Re: [PR] feat: add native GroupsAccumulator for any_value [datafusion] via GitHub
• Re: [PR] refactor: name build-row and matchable-map presence checks in hash join [datafusion] via GitHub
  • Re: [PR] refactor: name build-row and matchable-map presence checks in hash join [datafusion] via GitHub
  • Re: [PR] refactor: name build-row and matchable-map presence checks in hash join [datafusion] via GitHub
• Re: [PR] ClickHouse: Support unparenthesized IN right-hand side [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] ClickHouse: Support unparenthesized IN right-hand side [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] ClickHouse: Support unparenthesized IN right-hand side [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] ClickHouse: Support unparenthesized IN right-hand side [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] ClickHouse: Support unparenthesized IN right-hand side [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] ClickHouse: Support unparenthesized IN right-hand side [datafusion-sqlparser-rs] via GitHub
• Re: [PR] FFI: plumb with_updated_config for FFI_ScalarUDF [datafusion] via GitHub
  • Re: [PR] FFI: plumb with_updated_config for FFI_ScalarUDF [datafusion] via GitHub
  • Re: [PR] FFI: plumb with_updated_config for FFI_ScalarUDF [datafusion] via GitHub
• Re: [PR] feat: support binary and string types for concat UDFs [datafusion] via GitHub
• Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
  • Re: [PR] feat: logical plan protobuf representation for range repartitioning [datafusion] via GitHub
• Re: [PR] refactor: add `try_to_proto` / `try_from_proto` to `DynamicFilterPhysicalExpr` [datafusion] via GitHub
  • Re: [PR] refactor: add `try_to_proto` / `try_from_proto` to `DynamicFilterPhysicalExpr` [datafusion] via GitHub
• [PR] feat: Create dynamic filters in SortMergeJoin [datafusion] via GitHub
  • Re: [PR] feat: Create dynamic filters in SortMergeJoin [datafusion] via GitHub
  • Re: [PR] feat: Create dynamic filters in SortMergeJoin [datafusion] via GitHub
• Re: [I] [EPIC] Adaptive predicate evaluation [datafusion] via GitHub
  • Re: [I] [EPIC] Adaptive predicate evaluation [datafusion] via GitHub

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