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• • Re: [PR] move projection handling into FileSource [datafusion] via GitHub
  • Re: [PR] move projection handling into FileSource [datafusion] via GitHub
  • Re: [PR] move projection handling into FileSource [datafusion] via GitHub
  • Re: [PR] move projection handling into FileSource [datafusion] via GitHub
  • Re: [PR] move projection handling into FileSource [datafusion] via GitHub
  • Re: [PR] move projection handling into FileSource [datafusion] via GitHub
  • Re: [PR] move projection handling into FileSource [datafusion] via GitHub
  • Re: [PR] move projection handling into FileSource [datafusion] via GitHub
  • Re: [PR] move projection handling into FileSource [datafusion] via GitHub
• [I] Insight from Auron (formally Blaze) [datafusion-comet] via GitHub
  • Re: [I] Insight from Auron (formerly Blaze) [datafusion-comet] via GitHub
• [I] Make EquivalenceProperties::new_with_schema not require aligned schema [datafusion] via GitHub
• Re: [PR] chore: unify common dependencies as workspace dependencies [datafusion] via GitHub
  • Re: [PR] chore: unify common dependencies as workspace dependencies [datafusion] via GitHub
• Re: [I] Update `data_types.md` page [datafusion] via GitHub
• Re: [D] json_array_elements and json_build_object in Datafusion? [datafusion] via GitHub
  • Re: [D] json_array_elements and json_build_object in Datafusion? [datafusion] via GitHub
• [I] Implementing `CatalogProvider` breaks quoted CTE names [datafusion] via GitHub
  • Re: [I] Implementing `CatalogProvider` breaks quoted CTE names [datafusion] via GitHub
• [PR] Fix links to doc examples [datafusion] via GitHub
  • Re: [PR] Update links in documentation to point at new example locations [datafusion] via GitHub
  • Re: [PR] Update links in documentation to point at new example locations [datafusion] via GitHub
  • Re: [PR] Update links in documentation to point at new example locations [datafusion] via GitHub
• Re: [I] Improve test coverage in `datafusion-proto` [datafusion] via GitHub
• Re: [I] Implement protobuf serialization for Expr::ScalarSubquery(_) | Expr::InSubquery { .. } | Expr::Exists { .. } [datafusion] via GitHub
• Re: [PR] feat: Support recursive queries with a distinct 'UNION' [datafusion] via GitHub
  • Re: [PR] feat: Support recursive queries with a distinct 'UNION' [datafusion] via GitHub
  • Re: [PR] feat: Support recursive queries with a distinct 'UNION' [datafusion] via GitHub
  • Re: [PR] feat: Support recursive queries with a distinct 'UNION' [datafusion] via GitHub
  • Re: [PR] feat: Support recursive queries with a distinct 'UNION' [datafusion] via GitHub
  • Re: [PR] feat: Support recursive queries with a distinct 'UNION' [datafusion] via GitHub
  • Re: [PR] feat: Support recursive queries with a distinct 'UNION' [datafusion] via GitHub
  • Re: [PR] feat: Support recursive queries with a distinct 'UNION' [datafusion] via GitHub
• Re: [PR] feat: support logical plan ScalarSubquery protobuf serde [datafusion] via GitHub
  • Re: [PR] feat: support logical plan ScalarSubquery protobuf serde [datafusion] via GitHub
• Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Reduce string copies cow [datafusion-sqlparser-rs] via GitHub
• Re: [D] Fast full-text search or LIKE query on Parquet file on S3 [datafusion] via GitHub
• [I] `DataFrame.__str__` truncates metadata keys that contain a `:` character [datafusion-python] via GitHub
  • Re: [I] `DataFrame.__str__` truncates metadata keys that contain a `:` character [datafusion-python] via GitHub
  • Re: [I] `DataFrame.__str__` truncates metadata keys that contain a `:` character [datafusion-python] via GitHub
  • Re: [I] `DataFrame.__str__` truncates metadata keys that contain a `:` character [datafusion-python] via GitHub
• Re: [D] How to pass down custom expression to physical plan? [datafusion] via GitHub
• Re: [D] Custom Indexes in Apache DataFusion [datafusion] via GitHub
• Re: [D] What is the recommended way to disable local filesystem access? [datafusion] via GitHub
• Re: [D] How to implement a custom unnest function without getting "UDF returned a different number of rows than expected" error [datafusion] via GitHub
• Re: [D] DataFusion-Comet, Spark and Future [datafusion] via GitHub
• Re: [D] Preserving row group information during reads [datafusion] via GitHub
• Re: [D] Questions about catalog design [datafusion] via GitHub
• Re: [D] How to improve Parquet reading performances? [datafusion] via GitHub
• Re: [D] Do timestamps get implicitly casted to another timezone? [datafusion] via GitHub
• Re: [D] Idiomatic DML/CRUD? [datafusion] via GitHub
• Re: [D] Does current SortExec consider input ordering. [datafusion] via GitHub
• Re: [D] How to get the raw Arrow stream of matched rows? [datafusion] via GitHub
• Re: [D] External use of sqllogictest machinery? [datafusion] via GitHub
• [I] Deprecate ExprSchemable::metadata [datafusion] via GitHub
  • Re: [I] Deprecate ExprSchemable::metadata [datafusion] via GitHub
  • Re: [I] Deprecate ExprSchemable::metadata [datafusion] via GitHub
• [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
  • Re: [PR] Upgrade to Datafusion 51 [datafusion-python] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.62.57 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.62.57 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.62.57 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.62.57 [datafusion-sandbox] via GitHub
• [PR] chore(deps): bump actions/setup-python from 6.0.0 to 6.1.0 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump actions/setup-python from 6.0.0 to 6.1.0 [datafusion-sandbox] via GitHub
• Re: [I] `DataFrame.cache()` does not work in distributed environments [datafusion] via GitHub
• [PR] fix: Implement Substrait consumer support for like_match, like_imatch, and negated variants [datafusion] via GitHub
  • Re: [PR] fix: Implement Substrait consumer support for like_match, like_imatch, and negated variants [datafusion] via GitHub
  • Re: [PR] fix: Implement Substrait consumer support for like_match, like_imatch, and negated variants [datafusion] via GitHub
  • Re: [PR] fix: Implement Substrait consumer support for like_match, like_imatch, and negated variants [datafusion] via GitHub
• Re: [I] [substrait] [sqllogictest] Unsupported function name: "like_match", "like_imatch", "like_not_match" and "like_not_imatch" [datafusion] via GitHub
  • Re: [I] [substrait] [sqllogictest] Unsupported function name: "like_match", "like_imatch", "like_not_match" and "like_not_imatch" [datafusion] via GitHub
• Re: [I] [ANSI] Include original SQL in error messages [datafusion-comet] via GitHub
  • Re: [I] [ANSI] Include original SQL in error messages [datafusion-comet] via GitHub
  • Re: [I] [ANSI] Include original SQL in error messages [datafusion-comet] via GitHub
• [PR] feat(memory-tracking): implement arrow_buffer::MemoryPool for MemoryPool [datafusion] via GitHub
  • Re: [PR] feat(memory-tracking): implement arrow_buffer::MemoryPool for MemoryPool [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.62.56 to 2.62.57 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.56 to 2.62.57 [datafusion] via GitHub
• [PR] chore(deps): bump actions/setup-python from 6.0.0 to 6.1.0 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump actions/setup-python from 6.0.0 to 6.1.0 [datafusion] via GitHub
• [I] Implement arrow_buffer::MemoryPool for DataFusion's MemoryPool [datafusion] via GitHub
  • Re: [I] Implement arrow_buffer::MemoryPool for DataFusion's MemoryPool [datafusion] via GitHub
• Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Oracle: Support for MERGE predicates [datafusion-sqlparser-rs] via GitHub
• [D] `repartitioned` method doesn't work to change partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work to change partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
  • Re: [D] `repartitioned` method doesn't work for changing partitioning of a subtree after planning [datafusion] via GitHub
• [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
  • Re: [PR] fix: partition pruning stats pruning when multiple values are present [datafusion] via GitHub
• Re: [I] Add support for lambda/higher order functions [datafusion] via GitHub
• [I] Incorrectly result from PartitionPruningStatistics when multiple values are present [datafusion] via GitHub
  • Re: [I] Incorrectly result from PartitionPruningStatistics when multiple values are present [datafusion] via GitHub
  • Re: [I] Incorrectly result from PartitionPruningStatistics when multiple values are present [datafusion] via GitHub
  • Re: [I] Incorrectly result from PartitionPruningStatistics when multiple values are present [datafusion] via GitHub
  • Re: [I] Incorrectly result from PartitionPruningStatistics when multiple values are present [datafusion] via GitHub
  • Re: [I] Incorrectly result from PartitionPruningStatistics when multiple values are present [datafusion] via GitHub
• Re: [PR] Add array_transform function [datafusion] via GitHub
• [PR] [DRAFT] Add lambda support and array_transform udf [datafusion] via GitHub
  • Re: [PR] [DRAFT] Add lambda support and array_transform udf [datafusion] via GitHub
• Re: [D] Why isn't this predicate being pushed down to TableScan? [datafusion] via GitHub
• Re: [D] Create in-memory index ? [datafusion] via GitHub
  • Re: [D] Create in-memory index ? [datafusion] via GitHub
• Re: [D] How to solve "Error: This feature is not implemented: Can't create a scalar from array of type "Map" [datafusion] via GitHub
  • Re: [D] How to solve "Error: This feature is not implemented: Can't create a scalar from array of type "Map" [datafusion] via GitHub
• Re: [D] Infer schema for NDJSON [datafusion] via GitHub
  • Re: [D] Infer schema for NDJSON [datafusion] via GitHub
• [PR] minor: add builder setting `NdJsonReadOptions::schema_infer_max_records` [datafusion] via GitHub
  • Re: [PR] minor: add builder setting `NdJsonReadOptions::schema_infer_max_records` [datafusion] via GitHub
• Re: [D] Dynamic loading of plugins [datafusion] via GitHub
  • Re: [D] Dynamic loading of plugins [datafusion] via GitHub
• Re: [D] Import deeply nested Rust struct/enum with custom types [datafusion] via GitHub
• Re: [D] Proposal: Rename `FileSinkExec` [datafusion] via GitHub
• Re: [D] Link Input Singnature to Output signature in UDF [datafusion] via GitHub
• Re: [PR] feat: support Spark-compatible abs math function part 2 - ANSI mode [datafusion] via GitHub
• [PR] chore: update `Iceberg` install docs [datafusion-comet] via GitHub
  • Re: [PR] chore: update `Iceberg` install docs [datafusion-comet] via GitHub
• Re: [PR] Support `CREATE SEQUENCE` options in any order [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Support `CREATE SEQUENCE` options in any order [datafusion-sqlparser-rs] via GitHub
• Re: [I] [substrait] [sqllogictest] Unsupported window frame unit: Groups [datafusion] via GitHub
• Re: [I] [substrait] [sqllogictest] Only literal types and aliases are supported in Virtual Tables, got: ScalarFunction [datafusion] via GitHub
• Re: [D] Feedback on high memory usage when merging N parquet files [datafusion] via GitHub
• Re: [PR] Enable Parallel Aggregation for Non-Overlapping Partitioned Data [datafusion] via GitHub
  • Re: [PR] Enable Parallel Aggregation for Non-Overlapping Partitioned Data [datafusion] via GitHub
• [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub
  • Re: [PR] feat: added parallelization on key partitioned data [datafusion] via GitHub

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