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• • Re: [PR] Improve 54.0.0 upgrade guide for ExecutionPlan::apply_expressions [datafusion] via GitHub
• [PR] (feat) Add web rendering of the TUI application [datafusion-ballista] via GitHub
• [I] Add csharp support [datafusion] via GitHub
• [PR] Hive: Support MAP<K, V> column types [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Hive: Support MAP<K, V> column types [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Hive: Support MAP<K, V> column types [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Hive: Support MAP<K, V> column types [datafusion-sqlparser-rs] via GitHub
• [I] `Hive` dialect does not support `MAP<K, V>` column types [datafusion-sqlparser-rs] via GitHub
• [I] `Statistics::with_fetch` promotes `Inexact(0)` to `Exact(0)`, causing false `COUNT(*)` fold on multi-way joins [datafusion] via GitHub
  • Re: [I] `Statistics::with_fetch` promotes `Inexact(0)` to `Exact(0)`, causing false `COUNT(*)` fold on multi-way joins [datafusion] via GitHub
  • Re: [I] `Statistics::with_fetch` promotes `Inexact(0)` to `Exact(0)`, causing false `COUNT(*)` fold on multi-way joins [datafusion] via GitHub
• [PR] feat(metrics): add SessionContext.memoryUsage and runtimeStats [datafusion-java] via GitHub
  • Re: [PR] feat(metrics): add SessionContext.memoryUsage and runtimeStats [datafusion-java] via GitHub
• [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
  • Re: [PR] Avoid rerunning no-op logical optimizer rules [datafusion] via GitHub
• [I] Avoid rerunning logical optimizer rules on unchanged plans [datafusion] via GitHub
• [PR] feat(session): expose disableSpill and maxTempDirectorySize on SessionContextBuilder [datafusion-java] via GitHub
  • Re: [PR] feat(session): expose disableSpill and maxTempDirectorySize on SessionContextBuilder [datafusion-java] via GitHub
• [I] feat: full disk-manager configuration on `SessionContextBuilder` (multi-dir spill, disable, size cap) [datafusion-java] via GitHub
• [PR] fix: error on negative ln inputs [datafusion] via GitHub
  • Re: [PR] fix: error on negative ln inputs [datafusion] via GitHub
  • Re: [PR] fix: error on negative ln inputs [datafusion] via GitHub
  • Re: [PR] fix: error on negative ln inputs [datafusion] via GitHub
• [PR] fix: indentation for markdown block comments in docstrings [datafusion] via GitHub
  • Re: [PR] fix: indentation for markdown block comments in docstrings [datafusion] via GitHub
• Re: [PR] feat: Enable expressions as default value in lead/lag function [datafusion] via GitHub
• [I] feat(metrics): per-query memory accounting and Tokio runtime metrics [datafusion-java] via GitHub
  • Re: [I] feat(metrics): per-query memory accounting and Tokio runtime metrics [datafusion-java] via GitHub
• [PR] feat: typed DataFusionException hierarchy across the JNI boundary [datafusion-java] via GitHub
  • Re: [PR] feat: typed DataFusionException hierarchy across the JNI boundary [datafusion-java] via GitHub
• [PR] fix: avoid panic in date_bin compute_distance near i64::MIN [datafusion] via GitHub
  • Re: [PR] fix: avoid panic in date_bin compute_distance near i64::MIN [datafusion] via GitHub
  • Re: [PR] fix: avoid panic in date_bin compute_distance near i64::MIN [datafusion] via GitHub
  • Re: [PR] fix: avoid panic in date_bin compute_distance near i64::MIN [datafusion] via GitHub
• [PR] feat(substrait): add SessionContext.fromSubstrait gated behind opt-in Cargo feature [datafusion-java] via GitHub
• Re: [I] Extension metadata improperly propagated across IS NULL operator [datafusion] via GitHub
  • Re: [I] Extension metadata improperly propagated across IS NULL operator [datafusion] via GitHub
• Re: [I] Optimizer Internal Error: 'eliminate_cross_join' causes schema drift when LEFT JOIN has scalar subquery over same CTE (SQLStorm) [datafusion] via GitHub
  • Re: [I] Optimizer Internal Error: 'eliminate_cross_join' causes schema drift when LEFT JOIN has scalar subquery over same CTE (SQLStorm) [datafusion] via GitHub
• Re: [I] `ReturnFieldArgs.scalar_arguments` type doesn't match with `arg_fields` [datafusion] via GitHub
• [PR] chore(deps): bump mimalloc from 0.1.50 to 0.1.51 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump mimalloc from 0.1.50 to 0.1.51 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.79.2 to 2.79.3 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.79.2 to 2.79.3 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump aws-config from 1.8.16 to 1.8.17 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump aws-config from 1.8.16 to 1.8.17 [datafusion-ballista] via GitHub
• Re: [I] Add scripts for release process [datafusion-java] via GitHub
• [I] feat: typed `DataFusionException` hierarchy across the JNI boundary [datafusion-java] via GitHub
  • Re: [I] feat: typed `DataFusionException` hierarchy across the JNI boundary [datafusion-java] via GitHub
• [PR] feat(session): configure DataFusion's built-in CacheManager from Java [datafusion-java] via GitHub
  • Re: [PR] feat(session): configure DataFusion's built-in CacheManager from Java [datafusion-java] via GitHub
• [I] In-scan RG-level dynamic pruning via arrow-rs reader split (Inexact TopK + WHERE) [datafusion] via GitHub
• [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
  • Re: [PR] Optimize metric label cloning [datafusion] via GitHub
• Re: [PR] fix(spark) CTAS with UNION in Spark 4.x native writer [datafusion-comet] via GitHub
  • Re: [PR] fix(spark) CTAS with UNION in Spark 4.x native writer [datafusion-comet] via GitHub
• Re: [PR] Add MultiDistinctToCrossJoin optimizer rule for parallel distinct aggregates [datafusion] via GitHub
• [I] Adaptive (cost-based) decision for skip_partial_aggregation instead of fixed ratio threshold [datafusion] via GitHub
• [I] Implement TimeType support: Infrastructure - sort, min/max [datafusion-comet] via GitHub
  • Re: [I] Implement TimeType support: Infrastructure - sort, min/max [datafusion-comet] via GitHub
• Re: [I] logical JoinNode proto missing null_aware field (follow-up to #19635) [datafusion] via GitHub
• [PR] fix: log shuffle-manager-missing warning once per session [datafusion-comet] via GitHub
• [PR] feat(loader): bundle native library inside the JAR [datafusion-java] via GitHub
  • Re: [PR] feat(loader): bundle native library inside the JAR [datafusion-java] via GitHub
  • Re: [PR] feat(loader): bundle native library inside the JAR [datafusion-java] via GitHub
  • Re: [PR] feat(loader): bundle native library inside the JAR [datafusion-java] via GitHub
  • Re: [PR] feat(loader): bundle native library inside the JAR [datafusion-java] via GitHub
  • Re: [PR] feat(loader): bundle native library inside the JAR [datafusion-java] via GitHub
• [I] Investigate Spark SQL test suites that load Comet without registering CometShuffleManager [datafusion-comet] via GitHub
• [PR] chore(release): add ASF release scripts for source tarballs [datafusion-java] via GitHub
  • Re: [PR] chore(release): add ASF release scripts for source tarballs [datafusion-java] via GitHub
• [PR] feat: add native support for cardinality() expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for cardinality() expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for cardinality() expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for cardinality() expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for cardinality() expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for cardinality() expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for cardinality() expression [datafusion-comet] via GitHub
  • Re: [PR] feat: add native support for cardinality() expression [datafusion-comet] via GitHub
• [PR] feat: fix `slice` function on OOB ranges [datafusion] via GitHub
  • Re: [PR] feat: fix `slice` function on OOB ranges [datafusion] via GitHub
  • Re: [PR] feat: fix `slice` function on OOB ranges [datafusion] via GitHub
• Re: [PR] feat: add array_exists with lambda support via CometUDF framework [datafusion-comet] via GitHub
• Re: [I] Implement TimeType support [datafusion-comet] via GitHub
  • Re: [I] Implement TimeType support [datafusion-comet] via GitHub
• [PR] chore: protect branch-53 and branch-54 [datafusion] via GitHub
  • Re: [PR] chore: protect branch-53 and branch-54 [datafusion] via GitHub
• [PR] add changelog [datafusion] via GitHub
  • Re: [PR] add changelog [datafusion] via GitHub
  • Re: [PR] [branch-54] add changelog [datafusion] via GitHub
  • Re: [PR] [branch-54] add changelog [datafusion] via GitHub
  • Re: [PR] [branch-54] add changelog [datafusion] via GitHub
• [I] Spark make_dt_interval/make_interval return NULL on overflow instead of erroring [datafusion] via GitHub
  • Re: [I] Spark make_dt_interval/make_interval return NULL on overflow instead of erroring [datafusion] via GitHub
  • Re: [I] Spark make_dt_interval/make_interval return NULL on overflow instead of erroring [datafusion] via GitHub
  • Re: [I] Spark make_dt_interval/make_interval return NULL on overflow instead of erroring [datafusion] via GitHub
• Re: [PR] feat: support Spark expression slice [datafusion-comet] via GitHub
• [I] Spark `slice` wrong result for negative OOB ranges [datafusion] via GitHub
  • Re: [I] Spark `slice` wrong result for negative OOB ranges [datafusion] via GitHub
• [I] Add `map_children_mut` to `Expr` / maybe `TreeNode`? [datafusion] via GitHub
• [PR] refactor(parquet-datasource): extract DecoderProjection from build_stream [datafusion] via GitHub
  • Re: [PR] refactor(parquet-datasource): extract DecoderProjection from build_stream [datafusion] via GitHub
  • Re: [PR] refactor(parquet-datasource): extract DecoderProjection from build_stream [datafusion] via GitHub
  • Re: [PR] refactor(parquet-datasource): extract DecoderProjection from build_stream [datafusion] via GitHub
  • Re: [PR] refactor(parquet-datasource): extract DecoderProjection from build_stream [datafusion] via GitHub
• [PR] chore: wire time functions + `slice`, `shift` [datafusion-comet] via GitHub
  • Re: [PR] chore: wire time functions + `slice`, `shift` [datafusion-comet] via GitHub
  • Re: [PR] chore: wire time functions + `slice`, `shift` [datafusion-comet] via GitHub
• [PR] Parser: fix exponential parse time on compound chains [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parser: fix exponential parse time on compound chains [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parser: fix exponential parse time on compound chains [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parser: fix exponential parse time on compound chains [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parser: fix exponential parse time on compound chains [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parser: fix exponential parse time on compound chains [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parser: fix exponential parse time on compound chains [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Parser: fix exponential parse time on compound chains [datafusion-sqlparser-rs] via GitHub
• Re: [I] Support expressions already implemented in datafusion-spark crate [datafusion-comet] via GitHub
• Re: [I] Enable test `cast nested ArrayType to nested ArrayType` [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: make_time [datafusion-comet] via GitHub
• Re: [I] Handle tz, datetime & int96 rebase configurations in native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [I] Handle tz, datetime & int96 rebase configurations in native_iceberg_compat [datafusion-comet] via GitHub
• Re: [I] `SPARK-17091: Convert IN predicate to Parquet filter push-down"` fails for both native_iceberg_compat [datafusion-comet] via GitHub
  • Re: [I] `SPARK-17091: Convert IN predicate to Parquet filter push-down"` fails for both native_iceberg_compat [datafusion-comet] via GitHub
• [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
  • Re: [PR] feat: re-enable COUNT for mixed Spark partial / Comet final aggregates [datafusion-comet] via GitHub
• [PR] feat: JVM UDF fallback for date_format [datafusion-comet] via GitHub
  • Re: [PR] feat: route date_format through codegen dispatcher for non-native cases [datafusion-comet] via GitHub
  • Re: [PR] feat: route date_format through codegen dispatcher for non-native cases [datafusion-comet] via GitHub
• [I] Implement Range Repartitioning [datafusion] via GitHub
• [PR] [branch-54] Bump to version 54.0.0 [datafusion] via GitHub
  • Re: [PR] [branch-54] Bump to version 54.0.0 [datafusion] via GitHub
  • Re: [PR] [branch-54] Bump to version 54.0.0 [datafusion] via GitHub
  • Re: [PR] [branch-54] Bump to version 54.0.0 [datafusion] via GitHub
  • Re: [PR] [branch-54] Bump to version 54.0.0 [datafusion] via GitHub
  • Re: [PR] [branch-54] Bump to version 54.0.0 [datafusion] via GitHub
• Re: [I] Remove `native_iceberg_compat` scan [datafusion-comet] via GitHub
  • Re: [I] Remove `native_iceberg_compat` scan [datafusion-comet] via GitHub
• [I] [EPIC] Propagate Range Partitioning Through Physical Optimizer [datafusion] via GitHub
• Re: [PR] added support for MapFromEntries [datafusion] via GitHub
  • Re: [PR] added support for MapFromEntries [datafusion] via GitHub
• [I] Expose Range Partitioning Across FFI Boundaries [datafusion] via GitHub
• [PR] feat: create free-threaded python wheels [datafusion-python] via GitHub
• [PR] chore: wire `rint` built in function [datafusion-comet] via GitHub
  • Re: [PR] chore: wire `rint` built in function [datafusion-comet] via GitHub
  • Re: [PR] chore: wire `rint` built in function [datafusion-comet] via GitHub
  • Re: [PR] chore: wire `rint` built in function [datafusion-comet] via GitHub
  • Re: [PR] chore: wire `rint` built in function [datafusion-comet] via GitHub
  • Re: [PR] chore: wire `rint` built in function [datafusion-comet] via GitHub
  • Re: [PR] chore: wire `rint` built in function [datafusion-comet] via GitHub
• [PR] feat: adding math sec expression [datafusion-comet] via GitHub
  • Re: [PR] feat: adding math sec expression [datafusion-comet] via GitHub
  • Re: [PR] feat: adding math sec expression [datafusion-comet] via GitHub
  • Re: [PR] feat: adding math sec expression [datafusion-comet] via GitHub
  • Re: [PR] feat: adding math sec expression [datafusion-comet] via GitHub
  • Re: [PR] feat: adding math sec expression [datafusion-comet] via GitHub
  • Re: [PR] feat: adding math sec expression [datafusion-comet] via GitHub
• Re: [I] make_array / array_agg drop inner-Field metadata when constructing List<T> [datafusion] via GitHub
• Re: [PR] fix: propagate inner-field metadata through make_array and array_agg [datafusion] via GitHub

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