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• • Re: [PR] feat: Adds IntervalJoinExec for point-in-interval range joins [datafusion] via GitHub
  • Re: [PR] feat: Adds IntervalJoinExec for point-in-interval range joins [datafusion] via GitHub
  • Re: [PR] feat: Adds IntervalJoinExec for point-in-interval range joins [datafusion] via GitHub
• [PR] build: add spark-4.1 Maven profile and shim sources [datafusion-comet] via GitHub
  • Re: [PR] build: add spark-4.1 Maven profile and shim sources [datafusion-comet] via GitHub
  • Re: [PR] build: add spark-4.1 Maven profile and shim sources [datafusion-comet] via GitHub
  • Re: [PR] build: add spark-4.1 Maven profile and shim sources [datafusion-comet] via GitHub
• [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
  • Re: [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
  • Re: [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
  • Re: [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
  • Re: [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
  • Re: [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
  • Re: [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
  • Re: [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
  • Re: [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
  • Re: [I] Add support for Spark 4.1 `OneRowRelationExec` [datafusion-comet] via GitHub
• [PR] fix: Do not highlight the CLI hint directly [datafusion] via GitHub
  • Re: [PR] fix: Do not highlight the CLI hint directly [datafusion] via GitHub
• Re: [PR] build: Add spark-4.1 profile and shims [datafusion-comet] via GitHub
  • Re: [PR] build: Add spark-4.1 profile and shims [datafusion-comet] via GitHub
• Re: [I] [native_datafusion] [Spark SQL Tests] Dynamic Partition Pruning (DPP) not working correctly [datafusion-comet] via GitHub
• Re: [I] [native_datafusion] [Spark SQL Tests] Missing files error handling differs from Spark [datafusion-comet] via GitHub
• [PR] fix: fall back to Spark for hash join and sort-merge join on non-default collated string keys [Spark 4] [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for hash join and sort-merge join on non-default collated string keys [Spark 4] [datafusion-comet] via GitHub
  • Re: [PR] fix: fall back to Spark for hash join and sort-merge join on non-default collated string keys [Spark 4] [datafusion-comet] via GitHub
• [I] Comet 0.15.1 Release [datafusion-comet] via GitHub
  • Re: [I] Comet 0.15.1 Release [datafusion-comet] via GitHub
• [PR] build: add spark-4.1 profile and enable Spark 4.1.1 SQL tests [datafusion-comet] via GitHub
  • Re: [PR] build: add spark-4.1 profile and enable Spark 4.1.1 SQL tests [WIP] [datafusion-comet] via GitHub
  • Re: [PR] build: add spark-4.1 profile and enable Spark 4.1.1 SQL tests [WIP] [datafusion-comet] via GitHub
  • Re: [PR] build: add spark-4.1 profile and enable Spark 4.1.1 SQL tests [WIP] [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
  • Re: [PR] build: Enable Spark SQL tests for Spark 4.1.1 [datafusion-comet] via GitHub
• [PR] fix: enable Spark 4 SQL tests previously ignored for issues #3313 and #3314 [datafusion-comet] via GitHub
  • Re: [PR] fix: enable Spark 4 SQL tests previously ignored for issues #3313 and #3314 [datafusion-comet] via GitHub
• [PR] feat: Support cacheing remote shuffle reader clients in executor. [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache remote shuffle reader clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache remote shuffle reader clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache remote shuffle reader clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache remote shuffle reader clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache remote shuffle reader clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
  • Re: [PR] feat: Cache ballista clients on executor [datafusion-ballista] via GitHub
• Re: [PR] perf: add connection pooling for shuffle reader remote fetches [datafusion-ballista] via GitHub
  • Re: [PR] perf: add connection pooling for shuffle reader remote fetches [datafusion-ballista] via GitHub
• Re: [PR] fix: allow safe mixed Spark/Comet partial/final aggregate execution [datafusion-comet] via GitHub
• [PR] feat: substrait support of `Decimal32` & `Decimal64` [datafusion] via GitHub
• [PR] feat: in-memory radix partitioning in grouped hash aggregate (draft) [datafusion] via GitHub
  • Re: [PR] feat: in-memory radix partitioning in grouped hash aggregate (draft) [datafusion] via GitHub
  • Re: [PR] feat: in-memory radix partitioning in grouped hash aggregate (draft) [datafusion] via GitHub
  • Re: [PR] feat: in-memory radix partitioning in grouped hash aggregate (draft) [datafusion] via GitHub
  • Re: [PR] feat: in-memory radix partitioning in grouped hash aggregate (draft) [datafusion] via GitHub
  • Re: [PR] feat: in-memory radix partitioning in grouped hash aggregate (draft) [datafusion] via GitHub
  • Re: [PR] feat: in-memory radix partitioning in grouped hash aggregate (draft) [datafusion] via GitHub
  • Re: [PR] feat: in-memory radix partitioning in grouped hash aggregate (draft) [datafusion] via GitHub
  • Re: [PR] feat: in-memory radix partitioning in grouped hash aggregate (draft) [datafusion] via GitHub
• Re: [I] Decimal32/Decimal64 support in Substrait Producer [datafusion] via GitHub
• Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
  • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
• Re: [PR] Feat/regexp extract [datafusion] via GitHub
  • Re: [PR] Feat/regexp extract [datafusion] via GitHub
• Re: [I] Add Result return types to CatalogProvider / SchemaProvider fallible methods [datafusion] via GitHub
  • Re: [I] Add Result return types to CatalogProvider / SchemaProvider fallible methods [datafusion] via GitHub
• Re: [PR] feat: suport spark compatible floor function [datafusion] via GitHub
  • Re: [PR] feat: suport spark compatible floor function [datafusion] via GitHub
  • Re: [PR] feat: suport spark compatible floor function [datafusion] via GitHub
  • Re: [PR] feat: suport spark compatible floor function [datafusion] via GitHub
  • Re: [PR] feat: suport spark compatible floor function [datafusion] via GitHub
  • Re: [PR] feat: suport spark compatible floor function [datafusion] via GitHub
• Re: [PR] [datafusion-spark] Support 2-argument ceil(value, scale) [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Support 2-argument ceil(value, scale) [datafusion] via GitHub
  • Re: [PR] [datafusion-spark] Support 2-argument ceil(value, scale) [datafusion] via GitHub
• Re: [PR] feat: support 2-argument ceil(value, scale) for Spark compatibility [datafusion] via GitHub
  • Re: [PR] feat: support 2-argument ceil(value, scale) for Spark compatibility [datafusion] via GitHub
  • Re: [PR] feat: support 2-argument ceil(value, scale) for Spark compatibility [datafusion] via GitHub
• [PR] feat: automatically cast `ListView` to `List` for UDFs [datafusion] via GitHub
  • Re: [PR] feat: automatically cast `ListView` to `List` for UDFs [datafusion] via GitHub
  • Re: [PR] feat: automatically cast `ListView` to `List` for UDFs [datafusion] via GitHub
  • Re: [PR] feat: automatically cast `ListView` to `List` for UDFs [datafusion] via GitHub
• [PR] PostgreSQL: cleanup CommentObject, AlterType, AlterDefaultPrivileges [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: cleanup CommentObject, AlterType, AlterDefaultPrivileges [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] PostgreSQL: cleanup CommentObject, AlterType, AlterDefaultPrivileges [datafusion-sqlparser-rs] via GitHub
• Re: [PR] Expose virtual columns from the Arrow Parquet reader in datasource-parquet [datafusion] via GitHub
• Re: [PR] fix: race condition in SpillPool caused by buffered stream [datafusion] via GitHub
• Re: [PR] fix(core): Correctly handle nested async UDF execution [datafusion] via GitHub
  • Re: [PR] fix(core): Correctly handle nested async UDF execution [datafusion] via GitHub
• Re: [PR] Add anchor links to individual config settings in Configuration Settings docs page [datafusion] via GitHub
  • Re: [PR] Add anchor links to individual config settings in Configuration Settings docs page [datafusion] via GitHub
• Re: [PR] Optimize arrow bytes view map [datafusion] via GitHub
• Re: [PR] Refactor BitwiseXOR operator using ScalarUDF framework [datafusion] via GitHub
  • Re: [PR] Refactor BitwiseXOR operator using ScalarUDF framework [datafusion] via GitHub
• Re: [PR] feat: Support Spark expression `str_to_map` [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression `str_to_map` [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression `str_to_map` [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression `str_to_map` [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression `str_to_map` [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression `str_to_map` [datafusion-comet] via GitHub
• [PR] perf: Add `BulkNullStringArrayBuilder` trait, use in `repeat` [datafusion] via GitHub
  • Re: [PR] perf: Add `BulkNullStringArrayBuilder` trait, use in `repeat` [datafusion] via GitHub
  • Re: [PR] perf: Add `BulkNullStringArrayBuilder` trait, use in `repeat` [datafusion] via GitHub
  • Re: [PR] perf: Add `BulkNullStringArrayBuilder` trait, use in `repeat` [datafusion] via GitHub
  • Re: [PR] perf: Add `BulkNullStringArrayBuilder` trait, use in `repeat` [datafusion] via GitHub
  • Re: [PR] perf: Add `BulkNullStringArrayBuilder` trait, use in `repeat` [datafusion] via GitHub
  • Re: [PR] perf: Add `BulkNullStringArrayBuilder` trait, use in `repeat` [datafusion] via GitHub
  • Re: [PR] perf: Add `BulkNullStringArrayBuilder` trait, use in `repeat` [datafusion] via GitHub
  • Re: [PR] perf: Add `BulkNullStringArrayBuilder` trait, use in `repeat` [datafusion] via GitHub
• [I] Optimize `repeat` to use bulk-NULL string builder [datafusion] via GitHub
  • Re: [I] Optimize `repeat` to use bulk-NULL string builder [datafusion] via GitHub
  • Re: [I] Optimize `repeat` to use bulk-NULL string builder [datafusion] via GitHub
• Re: [PR] fix: gc StringView/BinaryView arrays before spilling to prevent write amplification [datafusion] via GitHub
• Re: [PR] feat: statistics-driven TopK optimization for parquet (file reorder + RG reorder + threshold init + cumulative prune) [datafusion] via GitHub
  • Re: [PR] feat: statistics-driven TopK optimization for parquet (file reorder + RG reorder + threshold init + cumulative prune) [datafusion] via GitHub
  • Re: [PR] feat: statistics-driven TopK optimization for parquet (file reorder + RG reorder + threshold init + cumulative prune) [datafusion] via GitHub
  • Re: [PR] feat: statistics-driven TopK optimization for parquet (file reorder + RG reorder + threshold init + cumulative prune) [datafusion] via GitHub
• [PR] fix: reject string/binary read as numeric in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject string/binary read as numeric in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject string/binary read as numeric in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject string/binary read as numeric in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject string/binary read as numeric in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject string/binary read as numeric in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject string/binary read as numeric in native_datafusion scan [datafusion-comet] via GitHub
• [PR] build(deps): bump datafusion from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• [PR] build(deps): bump mimalloc from 0.1.48 to 0.1.50 [datafusion-python] via GitHub
• [PR] build(deps): bump datafusion-catalog from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• [PR] build(deps): bump datafusion-ffi from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• [PR] build(deps): bump datafusion-proto from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• [PR] build(deps): bump tokio from 1.50.0 to 1.52.1 [datafusion-python] via GitHub
• [PR] build(deps): bump datafusion-common from 53.0.0 to 53.1.0 [datafusion-python] via GitHub
• Re: [PR] build(deps): bump tokio from 1.50.0 to 1.51.1 [datafusion-python] via GitHub
  • Re: [PR] build(deps): bump tokio from 1.50.0 to 1.51.1 [datafusion-python] via GitHub
• [PR] build(deps): bump uuid from 1.23.0 to 1.23.1 [datafusion-python] via GitHub
• [PR] Draft: implement non-blocking morsel API [datafusion] via GitHub
• [PR] fix: reject incompatible decimal precision/scale in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject incompatible decimal precision/scale in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject incompatible decimal precision/scale in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject incompatible decimal precision/scale in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject incompatible decimal precision/scale in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject incompatible decimal precision/scale in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject incompatible decimal precision/scale in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject incompatible decimal precision/scale in native_datafusion scan [datafusion-comet] via GitHub
  • Re: [PR] fix: reject incompatible decimal precision/scale in native_datafusion scan [datafusion-comet] via GitHub
• [I] native_datafusion: STRING column read as INT silently returns garbage values [datafusion-comet] via GitHub
  • Re: [I] native_datafusion: STRING column read as INT silently returns garbage values [datafusion-comet] via GitHub
• [I] native_datafusion: incompatible decimal precision/scale read silently succeeds without value validation [datafusion-comet] via GitHub
  • Re: [I] native_datafusion: incompatible decimal precision/scale read silently succeeds without value validation [datafusion-comet] via GitHub
• Re: [I] native_datafusion: no error thrown for schema mismatch when reading Parquet with incompatible types [datafusion-comet] via GitHub
• [PR] test: add ParquetSchemaMismatchSuite documenting Comet vs Spark schema-mismatch behavior [datafusion-comet] via GitHub

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