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• • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [9195] optimize group value bytes [datafusion] via GitHub
  • Re: [PR] [draft][9195] optimize group value bytes [datafusion] via GitHub
• Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
  • Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
  • Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
  • Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
  • Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
  • Re: [PR] fix: materialize ConstantColumnVector on Comet's serialize/export paths [datafusion-comet] via GitHub
• [PR] chore: resolve audits after DF54.0.0 update to skill [datafusion-python] via GitHub
  • Re: [PR] chore: resolve audits after DF54.0.0 update to skill [datafusion-python] via GitHub
• Re: [I] Add support for bucketed Parquet writes [datafusion-comet] via GitHub
• Re: [I] use `array_compact` and `array_repeat` from Datafusion [datafusion-comet] via GitHub
• [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
  • Re: [PR] fix: `array_compact` handle edge case with NULLs [datafusion] via GitHub
• [I] Segfault with PyArrow 24 on macOS after DataFusion 54 upgrade (mimalloc v2/v3 collision) [datafusion-python] via GitHub
  • Re: [I] Segfault with PyArrow 24 on macOS when using mimalloc v3 [datafusion-python] via GitHub
  • Re: [I] Segfault with PyArrow 24 on macOS when using mimalloc v3 [datafusion-python] via GitHub
• [I] Allow Range partitioning to satisfy grouped aggregation requirements [datafusion] via GitHub
  • Re: [I] Allow Range partitioning to satisfy grouped aggregation requirements [datafusion] via GitHub
• Re: [I] Implement file commit protocol for native Parquet writes [datafusion-comet] via GitHub
• Re: [I] Add support for `MapFromEntries` [datafusion-comet] via GitHub
  • Re: [I] Add support for `MapFromEntries` [datafusion-comet] via GitHub
• Re: [I] Add native support for Sec, Csc, Cbrt, Hypot, Factorial, and ShiftRightUnsigned [datafusion-comet] via GitHub
  • Re: [I] Add native support for Sec, Csc, Cbrt, Hypot, Factorial, and ShiftRightUnsigned [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: create_array [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: create_array [datafusion-comet] via GitHub
• Re: [I] Add support for from_json (JsonToStructs) expression [datafusion-comet] via GitHub
  • Re: [I] Add support for from_json (JsonToStructs) expression [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: create_map [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: create_map [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: map_concat [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: map_concat [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: schema_of_json [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: schema_of_json [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: json_object_keys [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: json_object_keys [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: months_between [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: months_between [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: array_exists [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: array_exists [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: from_unix_time [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: from_unix_time [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: levenshtein [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: levenshtein [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: make_timestamp [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: make_timestamp [datafusion-comet] via GitHub
• Re: [I] Support spark unbase64 function [datafusion-comet] via GitHub
  • Re: [I] Support spark unbase64 function [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: aes_encrypt [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: aes_encrypt [datafusion-comet] via GitHub
• Re: [PR] feat: add support for `aes_decrypt` expression [datafusion-comet] via GitHub
• Re: [I] [Feature] Support Spark expression: aes_decrypt [datafusion-comet] via GitHub
  • Re: [I] [Feature] Support Spark expression: aes_decrypt [datafusion-comet] via GitHub
• Re: [PR] feat: Implement TimeType support - Infrastructure - shuffle [datafusion-comet] via GitHub
• [PR] feat: Add native collect_list aggregate support [datafusion-comet] via GitHub
  • Re: [PR] feat: Add native collect_list aggregate support [datafusion-comet] via GitHub
  • Re: [PR] feat: add native distinct-combined collect_list aggregate support [datafusion-comet] via GitHub
• Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
  • Re: [I] [EPIC] Fix performance regressions when enabling parquet filter pushdown (late materialization) [datafusion] via GitHub
• [PR] feat: Support decimal in approx_distinct [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
  • Re: [PR] feat: Support Decimal type in `approx_distinct` [datafusion] via GitHub
• [PR] refactor: remove redundant partitioned_by_file_group file scan field [datafusion] via GitHub
  • Re: [PR] refactor: remove redundant partitioned_by_file_group file scan field [datafusion] via GitHub
  • Re: [PR] refactor: remove redundant partitioned_by_file_group file scan field [datafusion] via GitHub
  • Re: [PR] refactor: remove redundant partitioned_by_file_group file scan field [datafusion] via GitHub
  • Re: [PR] refactor: remove redundant partitioned_by_file_group file scan field [datafusion] via GitHub
• Re: [I] PostgreSQL compatibility: `SIMILAR TO` should treat `%` as a wildcard [datafusion] via GitHub
• [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
• [PR] Fix ArrayInsert evaluation for null source arrays [datafusion-comet] via GitHub
  • Re: [PR] fix: ArrayInsert evaluation for null source arrays [datafusion-comet] via GitHub
  • Re: [PR] fix: ArrayInsert evaluation for null source arrays [datafusion-comet] via GitHub
  • Re: [PR] fix: ArrayInsert evaluation for null source arrays [datafusion-comet] via GitHub
  • Re: [PR] fix: ArrayInsert evaluation for null source arrays [datafusion-comet] via GitHub
  • Re: [PR] fix: ArrayInsert evaluation for null source arrays [datafusion-comet] via GitHub
• Re: [PR] fix: classify unsupported format patterns as Unsupported in CometFromUnixTime [datafusion-comet] via GitHub
• Re: [PR] feat: use aligned slice access during bulk append in SparkUnsafeArray [datafusion-comet] via GitHub
  • Re: [PR] feat: use aligned slice access during bulk append in SparkUnsafeArray [datafusion-comet] via GitHub
• Re: [PR] fix: gate non-default collations for Spark 4 datetime expressions [datafusion-comet] via GitHub
  • Re: [PR] fix: gate non-default collations for Spark 4 datetime expressions [datafusion-comet] via GitHub
  • Re: [PR] fix: gate non-default collations for Spark 4 datetime expressions [datafusion-comet] via GitHub
  • Re: [PR] fix: gate non-default collations for Spark 4 datetime expressions [datafusion-comet] via GitHub
  • Re: [PR] fix: gate non-default collations for Spark 4 datetime expressions [datafusion-comet] via GitHub
  • Re: [PR] fix: gate non-default collations for Spark 4 datetime expressions [datafusion-comet] via GitHub
• [I] bug: shutdown `jni_api::TOKIO_RUNTIME` on exit [datafusion-comet] via GitHub
• [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] [Draft][22715] introduce dictionarys as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat:[Draft][22715] add dictionaries as a supported group column type [datafusion] via GitHub
• Re: [I] Add distinction between "info" and "fallback" messages [datafusion-comet] via GitHub
• [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
  • Re: [PR] POC hash aggregate repartition subpartitions [datafusion] via GitHub
• [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
  • Re: [PR] refactor: make join projection pushdown schema-aware via ColumnIndex/… [datafusion] via GitHub
• [PR] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] [WIP] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] [WIP] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] [WIP] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range hash joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
  • Re: [PR] Support co-partitioned range inner equi joins [datafusion] via GitHub
• [I] Allow co-partitioned range inputs to satisfy inner partitioned hash joins [datafusion] via GitHub
  • Re: [I] Allow co-partitioned range inputs to satisfy inner partitioned hash joins [datafusion] via GitHub
• [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub
  • Re: [PR] Fix final hash aggregate output regression by materializing once [datafusion] via GitHub

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