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• • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
  • Re: [PR] feat: expose `udafs` and `udwfs` methods on `FunctionRegistry` [datafusion] via GitHub
• Re: [I] Simplify `col1 || 'a' || 'b' || col2` to `col1 || 'ab' || col2` [datafusion] via GitHub
  • Re: [I] Simplify `col1 || 'a' || 'b' || col2` to `col1 || 'ab' || col2` [datafusion] via GitHub
  • Re: [I] Simplify `col1 || 'a' || 'b' || col2` to `col1 || 'ab' || col2` [datafusion] via GitHub
  • Re: [I] Simplify `col1 || 'a' || 'b' || col2` to `col1 || 'ab' || col2` [datafusion] via GitHub
• [I] [EPIC] Improve Pathalogical Planning times [datafusion] via GitHub
• Re: [I] Support RightAnti and RightSemi joins in Substrait [datafusion] via GitHub
  • Re: [I] Support RightAnti and RightSemi joins in Substrait [datafusion] via GitHub
• Re: [PR] feat(spark): implement Spark `map` function `map_from_arrays` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `map` function `map_from_arrays` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `map` function `map_from_arrays` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `map` function `map_from_arrays` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `map` function `map_from_arrays` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `map` function `map_from_arrays` [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `map` function `map_from_arrays` [datafusion] via GitHub
• Re: [PR] Feat/parameterized sql queries [datafusion-python] via GitHub
• Re: [I] Release DataFusion `50.0.1` (patch) [datafusion] via GitHub
  • Re: [I] Release DataFusion `50.0.1` (patch) [datafusion] via GitHub
  • Re: [I] Release DataFusion `50.0.1` (patch) [datafusion] via GitHub
  • Re: [I] Release DataFusion `50.0.1` (patch) [datafusion] via GitHub
  • Re: [I] Release DataFusion `50.0.1` (patch) [datafusion] via GitHub
  • Re: [I] Release DataFusion `50.0.1` (patch) [datafusion] via GitHub
  • Re: [I] Release DataFusion `50.0.1` (patch) [datafusion] via GitHub
• [I] approx_distinct can't handle null, date and timestamp types [datafusion] via GitHub
  • Re: [I] approx_distinct can't handle null, date and timestamp types [datafusion] via GitHub
• Re: [PR] Generalize struct-to-struct casting with CastOptions and SchemaAdapter integration [datafusion] via GitHub
  • Re: [PR] Generalize struct-to-struct casting with CastOptions and SchemaAdapter integration [datafusion] via GitHub
• Re: [I] Planning time for queries with many columns with union and order by is very slow [datafusion] via GitHub
• Re: [I] Extension metadata dropped from literals in SQL VALUES clause [datafusion] via GitHub
• Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
  • Re: [I] Is it possible to pass query parameters? (`:param` or `?`) [datafusion-python] via GitHub
• [PR] chore: Update dynamic filter formatting [datafusion] via GitHub
  • Re: [PR] chore: Update dynamic filter formatting [datafusion] via GitHub
  • Re: [PR] chore: Update dynamic filter formatting [datafusion] via GitHub
  • Re: [PR] chore: Update dynamic filter formatting [datafusion] via GitHub
• [I] chore: Update dynamic filter formatting [datafusion] via GitHub
  • Re: [I] chore: Update dynamic filter formatting [datafusion] via GitHub
  • Re: [I] chore: Update dynamic filter formatting [datafusion] via GitHub
• [I] Support for automatic replacement scans [datafusion-python] via GitHub
• Re: [PR] Add AUTO JOIN support [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Add AUTO JOIN support [datafusion-sqlparser-rs] via GitHub
• Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
  • Re: [PR] feat(spark): implement Spark `make_interval` function [datafusion] via GitHub
• Re: [I] More flexible validation in `sqllogictest` [datafusion] via GitHub
  • Re: [I] More flexible validation in `sqllogictest` [datafusion] via GitHub
• [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
  • Re: [PR] Display qualifiers in EXPLAIN [datafusion] via GitHub
• [PR] doc: macos benches doc clarifications [datafusion-comet] via GitHub
  • Re: [PR] doc: macos benches doc clarifications [datafusion-comet] via GitHub
• Re: [I] Incorrect error message for decimal with scale while input value is out of bound [datafusion] via GitHub
• [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
  • Re: [PR] Avoid redundant Schema clones [datafusion] via GitHub
• Re: [I] ASOF join support / Specialize Range Joins [datafusion] via GitHub
  • Re: [I] ASOF join support / Specialize Range Joins [datafusion] via GitHub
  • Re: [I] ASOF join support / Specialize Range Joins [datafusion] via GitHub
  • Re: [I] ASOF join support / Specialize Range Joins [datafusion] via GitHub
  • Re: [I] ASOF join support / Specialize Range Joins [datafusion] via GitHub
• [PR] feat: support postgres alter schema [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] feat: support postgres alter schema [datafusion-sqlparser-rs] via GitHub
• Re: [I] feat: Support nested Array literals [datafusion-comet] via GitHub
• Re: [PR] feat: change Expr OuterReferenceColumn and Alias to Box type for reducing expr struct size [datafusion] via GitHub
  • Re: [PR] feat: change Expr OuterReferenceColumn and Alias to Box type for reducing expr struct size [datafusion] via GitHub
• Re: [PR] Upgrade to arrow 56.1.0 [datafusion] via GitHub
  • Re: [PR] Upgrade to arrow 56.1.0 [datafusion] via GitHub
• Re: [I] Add support for Spark 4.0.1 [datafusion-comet] via GitHub
• [PR] minor: Ensure `datafusion-sql` package dependencies have `sql` flag [datafusion] via GitHub
  • Re: [PR] minor: Ensure `datafusion-sql` package dependencies have `sql` flag [datafusion] via GitHub
• Re: [I] SQL planner allows `HAVING` clause in non-aggregate queries [datafusion] via GitHub
  • Re: [I] SQL planner allows `HAVING` clause in non-aggregate queries [datafusion] via GitHub
• [PR] chore(deps): bump Swatinem/rust-cache from 2.8.0 to 2.8.1 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump Swatinem/rust-cache from 2.8.0 to 2.8.1 [datafusion-sandbox] via GitHub
• Re: [I] Improve python documentation [datafusion] via GitHub
  • Re: [I] Improve python documentation [datafusion] via GitHub
• Re: [I] `change_redundant_column` lossy approach breaks logical optimizer and physical planner [datafusion] via GitHub
• [PR] Introduce `TableProvider` wrapper & unified `register_table` API; deprecate `register_table_provider` [datafusion-python] via GitHub
  • Re: [PR] Introduce `TableProvider` wrapper & unified `register_table` API; deprecate `register_table_provider` [datafusion-python] via GitHub
  • Re: [PR] Introduce `TableProvider` wrapper & unified `register_table` API; deprecate `register_table_provider` [datafusion-python] via GitHub
  • Re: [PR] Introduce `TableProvider` wrapper & unified `register_table` API; deprecate `register_table_provider` [datafusion-python] via GitHub
  • Re: [PR] Introduce `TableProvider` wrapper & unified `register_table` API; deprecate `register_table_provider` [datafusion-python] via GitHub
  • Re: [PR] Introduce `TableProvider` wrapper & unified `register_table` API; deprecate `register_table_provider` [datafusion-python] via GitHub
  • Re: [PR] Introduce `TableProvider` wrapper & unified `register_table` API; deprecate `register_table_provider` [datafusion-python] via GitHub
  • Re: [PR] Introduce `TableProvider` wrapper & unified `register_table` API; deprecate `register_table_provider` [datafusion-python] via GitHub
• Re: [PR] Validate the memory consumption in SPM created by multi level merge [datafusion] via GitHub
• Re: [I] check out of range / overflow for decimal agg function [datafusion] via GitHub
  • Re: [I] check out of range / overflow for decimal agg function [datafusion] via GitHub
• Re: [PR] Add Arrow C streaming, DataFrame iteration, and OOM-safe streaming execution [datafusion-python] via GitHub
  • Re: [PR] Add Arrow C streaming, DataFrame iteration, and OOM-safe streaming execution [datafusion-python] via GitHub
  • Re: [PR] Add Arrow C streaming, DataFrame iteration, and OOM-safe streaming execution [datafusion-python] via GitHub
  • Re: [PR] Add Arrow C streaming, DataFrame iteration, and OOM-safe streaming execution [datafusion-python] via GitHub
  • Re: [PR] Add Arrow C streaming, DataFrame iteration, and OOM-safe streaming execution [datafusion-python] via GitHub
• [PR] chore(deps): bump Swatinem/rust-cache from 2.8.0 to 2.8.1 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump Swatinem/rust-cache from 2.8.0 to 2.8.1 [datafusion] via GitHub
• Re: [I] Panic reading avro file at datafusion-6.0.0/src/avro_to_arrow/arrow_array_reader.rs:771:37 [datafusion] via GitHub
  • Re: [I] Panic reading avro file at datafusion-6.0.0/src/avro_to_arrow/arrow_array_reader.rs:771:37 [datafusion] via GitHub
• Re: [I] Expression Simplification for`Expr::Case` expressions [datafusion] via GitHub
  • Re: [I] Expression Simplification for`Expr::Case` expressions [datafusion] via GitHub
  • Re: [I] Expression Simplification for`Expr::Case` expressions [datafusion] via GitHub
  • Re: [I] Expression Simplification for`Expr::Case` expressions [datafusion] via GitHub
• Re: [I] Improve Python API docs on DataFusion site [datafusion] via GitHub
  • Re: [I] Improve Python API docs on DataFusion site [datafusion] via GitHub
• Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.52 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.52 [datafusion] via GitHub
  • [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.52 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.52 [datafusion] via GitHub
• [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump wasm-bindgen-test from 0.3.51 to 0.3.53 [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.61.8 to 2.61.9 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.61.8 to 2.61.9 [datafusion] via GitHub
• Re: [I] Add `register_table` method to datafusion python bindings [datafusion] via GitHub
  • Re: [I] Add `register_table` method to datafusion python bindings [datafusion] via GitHub
  • Re: [I] Add `register_table` method to datafusion python bindings [datafusion] via GitHub
• [I] Publish blog post for 0.10.0 release [datafusion-comet] via GitHub
  • Re: [I] Publish blog post for 0.10.0 release [datafusion-comet] via GitHub
  • Re: [I] Publish blog post for 0.10.0 release [datafusion-comet] via GitHub
  • Re: [I] Publish blog post for 0.10.0 release [datafusion-comet] via GitHub
• [I] Remove off-heap memory pools [datafusion-comet] via GitHub
  • Re: [I] Remove on-heap memory pools [datafusion-comet] via GitHub
• Re: [PR] upgrade Bootstrap v5.3.8 [datafusion-site] via GitHub
• Re: [I] Friendlier SQL in `SELECT` and `WHERE` [datafusion] via GitHub
• Re: [PR] Refactor HashJoinExec to progressively accumulate dynamic filter bounds instead of computing them after data is accumulated [datafusion] via GitHub
• Re: [I] Smarter `Statistics::with_fetch` [datafusion] via GitHub
• [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub
  • Re: [PR] Refactor hash join dynamic filtering for progressive bounds application [datafusion] via GitHub

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