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• • Re: [PR] feat: integrate batch coalescer with repartition exec [datafusion] via GitHub
• Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
  • Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
  • Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
  • Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
  • Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
  • Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
  • Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
  • Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
  • Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
  • Re: [PR] remove repartition exec from coalesce batches optimizer [datafusion] via GitHub
• Re: [I] Deduplicate Spark function code with native/default datafusion function code [datafusion] via GitHub
  • Re: [I] Deduplicate Spark function code with native/default datafusion function code [datafusion] via GitHub
  • Re: [I] Deduplicate Spark function code with native/default datafusion function code [datafusion] via GitHub
  • Re: [I] Deduplicate Spark function code with native/default datafusion function code [datafusion] via GitHub
  • Re: [I] Deduplicate Spark function code with native/default datafusion function code [datafusion] via GitHub
  • Re: [I] Deduplicate Spark function code with native/default datafusion function code [datafusion] via GitHub
• Re: [I] Create benchmark for sorted data [datafusion] via GitHub
• [PR] Update datafusion-core crate to Rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Update datafusion-core crate to Rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Update datafusion-core crate to Rust 2024 edition [datafusion] via GitHub
  • Re: [PR] Update datafusion-core crate to Rust 2024 edition [datafusion] via GitHub
• Re: [PR] feat: support invoking table functions with tables rather than a single expression [datafusion] via GitHub
  • Re: [PR] feat: support invoking table functions with tables rather than a single expression [datafusion] via GitHub
• Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `RepartitionExec` [datafusion] via GitHub
• [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
  • Re: [I] Integrate `BatchCoalescer` into `AsyncFuncExec` and remove from `CoalesceBatches` optimization rule [datafusion] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.63.3 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.63.3 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.63.3 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.63.3 [datafusion-sandbox] via GitHub
• Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.62.67 [datafusion-sandbox] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.54 to 2.62.67 [datafusion-sandbox] via GitHub
• [I] Expressions from left and right of a join can fail planning during substrait converstion if their name is the same [datafusion] via GitHub
• Re: [PR] fix: spark width_bucket custom nullability [datafusion] via GitHub
  • Re: [PR] fix: spark width_bucket custom nullability [datafusion] via GitHub
• Re: [PR] refactor: move metrics module to `datafusion-common` crate [datafusion] via GitHub
  • Re: [PR] refactor: move metrics module to `datafusion-common` crate [datafusion] via GitHub
  • Re: [PR] refactor: move metrics module to `datafusion-common` crate [datafusion] via GitHub
• Re: [I] Clarify usage of advertise_flight_sql_endpoint [datafusion-ballista] via GitHub
  • Re: [I] Clarify usage of advertise_flight_sql_endpoint [datafusion-ballista] via GitHub
• Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
  • Re: [PR] Establish the high level API for sort pushdown and the optimizer rule and support reverse files and row groups [datafusion] via GitHub
• [I] Phase 2: make sort pushdown support exact mode which can remove sort, also can File reordering based on statistics [datafusion] via GitHub
• [PR] chore(deps): bump actions/cache from 4 to 5 [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump actions/cache from 4 to 5 [datafusion-comet] via GitHub
• [PR] chore(deps): bump actions/upload-artifact from 5 to 6 [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump actions/upload-artifact from 5 to 6 [datafusion-comet] via GitHub
• [PR] chore(deps): bump actions/download-artifact from 6 to 7 [datafusion-comet] via GitHub
  • Re: [PR] chore(deps): bump actions/download-artifact from 6 to 7 [datafusion-comet] via GitHub
• Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.65 to 2.62.67 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.62.65 to 2.62.67 [datafusion] via GitHub
• [PR] chore(deps): bump ctor from 0.6.1 to 0.6.3 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump ctor from 0.6.1 to 0.6.3 [datafusion] via GitHub
• Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
  • Re: [PR] feat: hash partitioning satisfies subset [datafusion] via GitHub
• [PR] chore(deps): bump insta from 1.43.2 to 1.44.3 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump insta from 1.43.2 to 1.44.3 [datafusion] via GitHub
• [PR] chore(deps): bump clap from 4.5.50 to 4.5.53 [datafusion] via GitHub
  • Re: [PR] chore(deps): bump clap from 4.5.50 to 4.5.53 [datafusion] via GitHub
• [PR] chore(deps): bump the proto group with 3 updates [datafusion] via GitHub
• Re: [PR] Add library user guide for extending SQL syntax [datafusion] via GitHub
  • Re: [PR] Add library user guide for extending SQL syntax [datafusion] via GitHub
  • Re: [PR] Add library user guide for extending SQL syntax [datafusion] via GitHub
  • Re: [PR] Add library user guide for extending SQL syntax [datafusion] via GitHub
  • Re: [PR] Add library user guide for extending SQL syntax [datafusion] via GitHub
  • Re: [PR] Add library user guide for extending SQL syntax [datafusion] via GitHub
  • Re: [PR] Add library user guide for extending SQL syntax [datafusion] via GitHub
  • Re: [PR] Add library user guide for extending SQL syntax [datafusion] via GitHub
• Re: [PR] feat: support Spark-compatible abs math function part 2 - ANSI mode [datafusion] via GitHub
• [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
  • Re: [PR] refactor: refactor spark like function to use datafusion like [datafusion] via GitHub
• [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
  • Re: [PR] fix: derive Spark sha2 nullability and add tests [datafusion] via GitHub
• Re: [PR] Fix TopK aggregation for UTF-8/Utf8View group keys and add safe fallback for unsupported string aggregates [datafusion] via GitHub
  • Re: [PR] Fix TopK aggregation for UTF-8/Utf8View group keys and add safe fallback for unsupported string aggregates [datafusion] via GitHub
  • Re: [PR] Fix TopK aggregation for UTF-8/Utf8View group keys and add safe fallback for unsupported string aggregates [datafusion] via GitHub
  • Re: [PR] Fix TopK aggregation for UTF-8/Utf8View group keys and add safe fallback for unsupported string aggregates [datafusion] via GitHub
  • Re: [PR] Fix TopK aggregation for UTF-8/Utf8View group keys and add safe fallback for unsupported string aggregates [datafusion] via GitHub
• Re: [PR] Fix panic for `GROUPING SETS(())` and handle empty-grouping aggregates [datafusion] via GitHub
  • Re: [PR] Fix panic for `GROUPING SETS(())` and handle empty-grouping aggregates [datafusion] via GitHub
  • Re: [PR] Fix panic for `GROUPING SETS(())` and handle empty-grouping aggregates [datafusion] via GitHub
  • Re: [PR] Fix panic for `GROUPING SETS(())` and handle empty-grouping aggregates [datafusion] via GitHub
  • Re: [PR] Fix panic for `GROUPING SETS(())` and handle empty-grouping aggregates [datafusion] via GitHub
  • Re: [PR] Fix panic for `GROUPING SETS(())` and handle empty-grouping aggregates [datafusion] via GitHub
• Re: [PR] feat: Support casting string non int numeric types [datafusion-comet] via GitHub
  • Re: [PR] feat: Support casting string non int numeric types [datafusion-comet] via GitHub
  • Re: [PR] feat: Support casting string non int numeric types [datafusion-comet] via GitHub
• [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
  • Re: [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
  • Re: [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
  • Re: [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
  • Re: [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
  • Re: [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
  • Re: [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
  • Re: [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
  • Re: [I] bug: Median() encountered integer overflow and truncates integer results [datafusion] via GitHub
  • Re: [I] bug: Median() encountered integer overflow [datafusion] via GitHub
• Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
  • Re: [PR] chore: enforce `clippy::allow_attributes` for ffi, optimizer and macros [datafusion] via GitHub
• Re: [PR] Minor: remove unnecessary unit tests for fixed size binary [datafusion] via GitHub
• Re: [I] pow() with integer base and negative float exponent returns error [datafusion] via GitHub
• Re: [PR] fix: #10020 make concat function support array concatenation [datafusion] via GitHub
  • Re: [PR] fix: #10020 make concat function support array concatenation [datafusion] via GitHub
• Re: [PR] [DRAFT] Extension Type Registry Draft [datafusion] via GitHub
• Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub
  • Re: [I] Add a way to show the contents of the ListFilesCache in `datafusion-cli` [datafusion] via GitHub

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