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• • Re: [PR] chore: Simplifying `SortPreservingMergeStream` to use generators instead of state machine [datafusion] via GitHub
  • Re: [PR] chore: Simplifying `SortPreservingMergeStream` to use generators instead of state machine [datafusion] via GitHub
  • Re: [PR] chore: Simplifying `SortPreservingMergeStream` to use generators instead of state machine [datafusion] via GitHub
  • Re: [PR] chore: Simplifying `SortPreservingMergeStream` to use generators instead of state machine [datafusion] via GitHub
  • Re: [PR] chore: Simplifying `SortPreservingMergeStream` to use generators instead of state machine [datafusion] via GitHub
  • Re: [PR] chore: Simplifying `SortPreservingMergeStream` to use generators instead of state machine [datafusion] via GitHub
  • Re: [PR] chore: Simplifying `SortPreservingMergeStream` to use generators instead of state machine [datafusion] via GitHub
• Re: [PR] Accept CREATE OR REPLACE SCHEMA [datafusion-sqlparser-rs] via GitHub
  • Re: [PR] Accept CREATE OR REPLACE SCHEMA [datafusion-sqlparser-rs] via GitHub
• Re: [PR] fix: cache CLI AWS credentials until expiry [datafusion] via GitHub
  • Re: [PR] fix: cache CLI AWS credentials until expiry [datafusion] via GitHub
  • Re: [PR] fix: cache CLI AWS credentials until expiry [datafusion] via GitHub
• Re: [PR] IN LIST: add branchless filter for small primitive lists [datafusion] via GitHub
  • Re: [PR] IN LIST: add branchless filter for small primitive lists [datafusion] via GitHub
  • Re: [PR] IN LIST: add branchless filter for small primitive lists [datafusion] via GitHub
• Re: [PR] fix: classify unsupported format patterns as Unsupported in CometFromUnixTime [datafusion-comet] via GitHub
• Re: [PR] perf(physical-plan): fold PlanProperties fast-path into with_new_children_if_necessary (PR 1 of #22555) [datafusion] via GitHub
  • Re: [PR] perf(physical-plan): fold PlanProperties fast-path into with_new_children_if_necessary (PR 1 of #22555) [datafusion] via GitHub
  • Re: [PR] perf(physical-plan): fold PlanProperties fast-path into with_new_children_if_necessary (PR 1 of #22555) [datafusion] via GitHub
  • Re: [PR] perf(physical-plan): fold PlanProperties fast-path into with_new_children_if_necessary (PR 1 of #22555) [datafusion] via GitHub
  • Re: [PR] perf(physical-plan): fold PlanProperties fast-path into with_new_children_if_necessary (PR 1 of #22555) [datafusion] via GitHub
  • Re: [PR] perf(physical-plan): fold PlanProperties fast-path into with_new_children_if_necessary (PR 1 of #22555) [datafusion] via GitHub
  • Re: [PR] perf(physical-plan): fold PlanProperties fast-path into with_new_children_if_necessary (PR 1 of #22555) [datafusion] via GitHub
  • Re: [PR] perf(physical-plan): fold PlanProperties fast-path into with_new_children_if_necessary (PR 1 of #22555) [datafusion] via GitHub
• Re: [PR] bench: add date_part benchmark [datafusion] via GitHub
  • Re: [PR] bench: add date_part benchmark [datafusion] via GitHub
  • Re: [PR] bench: add date_part benchmark [datafusion] via GitHub
  • Re: [PR] bench: add date_part benchmark [datafusion] via GitHub
  • Re: [PR] bench: add date_part benchmark [datafusion] via GitHub
• Re: [PR] bench: add sort benchmarks for various data profile [datafusion] via GitHub
  • Re: [PR] bench: add sort benchmarks for various data profile [datafusion] via GitHub
  • Re: [PR] bench: add sort benchmarks for various data profile [datafusion] via GitHub
  • Re: [PR] bench: add sort benchmarks for various data profile [datafusion] via GitHub
• Re: [I] perf: coalesce single-column sort runs to cut merge fan-in [datafusion] via GitHub
• Re: [PR] fix: Add schema validation for native_datafusion Parquet scan [datafusion-comet] via GitHub
• Re: [PR] fix: preserve aggregate scope when unparsing [datafusion] via GitHub
  • Re: [PR] fix: preserve aggregate scope when unparsing [datafusion] via GitHub
• [PR] test: add sqllogictest coverage for DISTINCT / GROUP BY / aggregation on map columns [datafusion] via GitHub
  • Re: [PR] test: add sqllogictest coverage for DISTINCT / GROUP BY / aggregation on map columns [datafusion] via GitHub
  • Re: [PR] test: add sqllogictest coverage for DISTINCT / GROUP BY / aggregation on map columns [datafusion] via GitHub
• [PR] fix: avoid dictionary key overflow in group value output [datafusion] via GitHub
  • Re: [PR] fix: avoid dictionary key overflow in group value output [datafusion] via GitHub
  • Re: [PR] fix: avoid dictionary key overflow in group value output [datafusion] via GitHub
  • Re: [PR] fix: avoid dictionary key overflow in group value output [datafusion] via GitHub
• Re: [PR] Coalesce primitive sort runs during spill [datafusion] via GitHub
  • Re: [PR] Coalesce primitive sort runs during spill [datafusion] via GitHub
• [I] Generic Rows-backed GroupColumn so nested GROUP BY keys stay on the column-wise fast path [datafusion] via GitHub
  • Re: [I] Generic Rows-backed GroupColumn so nested GROUP BY keys stay on the column-wise fast path [datafusion] via GitHub
• [PR] fix: apply single_distinct_to_groupby to aliased DataFrame API aggregates [datafusion] via GitHub
  • Re: [PR] fix: apply single_distinct_to_groupby to aliased DataFrame API aggregates [datafusion] via GitHub
• [PR] chore(deps): bump aws-config from 1.8.18 to 1.9.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump aws-config from 1.8.18 to 1.9.0 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump aws-credential-types from 1.2.14 to 1.3.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump aws-credential-types from 1.2.14 to 1.3.0 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump github/codeql-action/init from 4.36.2 to 4.37.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump github/codeql-action/init from 4.36.2 to 4.37.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump github/codeql-action/init from 4.36.2 to 4.37.0 [datafusion-ballista] via GitHub
• Re: [PR] chore(deps): bump github/codeql-action/init from 4.36.2 to 4.36.3 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump github/codeql-action/init from 4.36.2 to 4.36.3 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump taiki-e/install-action from 2.82.7 to 2.82.11 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump taiki-e/install-action from 2.82.7 to 2.82.11 [datafusion-ballista] via GitHub
• Re: [PR] chore(deps): bump github/codeql-action/analyze from 4.36.2 to 4.36.3 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump github/codeql-action/analyze from 4.36.2 to 4.36.3 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump actions/labeler from 6.1.0 to 6.2.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump actions/labeler from 6.1.0 to 6.2.0 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump github/codeql-action/analyze from 4.36.2 to 4.37.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump github/codeql-action/analyze from 4.36.2 to 4.37.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump github/codeql-action/analyze from 4.36.2 to 4.37.0 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump astral-sh/setup-uv from 8.3.0 to 8.3.2 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump astral-sh/setup-uv from 8.3.0 to 8.3.2 [datafusion-ballista] via GitHub
• Re: [PR] feat: Implement state conversion for remaining group accumulators [datafusion] via GitHub
  • Re: [PR] feat: Implement state conversion for remaining group accumulators [datafusion] via GitHub
  • Re: [PR] feat: Implement state conversion for remaining group accumulators [datafusion] via GitHub
  • Re: [PR] feat: Implement state conversion for remaining group accumulators [datafusion] via GitHub
• [PR] fix: avoid full listings for cached pruned partitions [datafusion] via GitHub
• Re: [PR] feat: add array_first higher-order array function [datafusion] via GitHub
  • Re: [PR] feat: add array_first higher-order array function [datafusion] via GitHub
  • Re: [PR] feat: add array_first higher-order array function [datafusion] via GitHub
• [I] `single_distinct_to_groupby` not applied to DataFrame API count(DISTINCT) [datafusion] via GitHub
  • Re: [I] `single_distinct_to_groupby` not applied to DataFrame API count(DISTINCT) [datafusion] via GitHub
  • Re: [I] `single_distinct_to_groupby` not applied to DataFrame API count(DISTINCT) [datafusion] via GitHub
  • Re: [I] `single_distinct_to_groupby` not applied to DataFrame API count(DISTINCT) [datafusion] via GitHub
• Re: [PR] fix: infer LIMIT and OFFSET placeholder parameter types [datafusion] via GitHub
  • Re: [PR] fix: infer LIMIT and OFFSET placeholder parameter types [datafusion] via GitHub
• Re: [PR] Make clickhouse tuples work [datafusion-sqlparser-rs] via GitHub
• Re: [PR] feat: Support Spark expression minutes_of_time [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression minutes_of_time [datafusion-comet] via GitHub
  • Re: [PR] feat: Support Spark expression minutes_of_time [datafusion-comet] via GitHub
• Re: [PR] feat: Add `preselection_threshold` option to `BinaryExpr` [datafusion] via GitHub
• Re: [I] Centralize shared-allocation accounting for Arc DFHeapSize implementations [datafusion] via GitHub
• [I] CI: Merge queue rejects PR even after all tests pass [datafusion] via GitHub
  • Re: [I] CI: Merge queue rejects PR even after all tests pass [datafusion] via GitHub
  • Re: [I] CI: Merge queue rejects PR even after all tests pass [datafusion] via GitHub
  • Re: [I] CI: Merge queue rejects PR even after all tests pass [datafusion] via GitHub
  • Re: [I] CI: Merge queue rejects PR even after all tests pass [datafusion] via GitHub
  • Re: [I] CI: Merge queue rejects PR even after all tests pass [datafusion] via GitHub
• Re: [PR] refactor(hash-aggr): Simplify aggregate hash table [datafusion] via GitHub
• Re: [PR] Push sort requirements through simple projections [datafusion] via GitHub
• [PR] Display input stage id on UnresolvedShuffleExec [datafusion-ballista] via GitHub
  • Re: [PR] Display input stage id on UnresolvedShuffleExec [datafusion-ballista] via GitHub
• Re: [PR] Improve constant folding for associative operations [datafusion] via GitHub
  • Re: [PR] Improve constant folding for associative operations [datafusion] via GitHub
  • Re: [PR] Improve constant folding for associative operations [datafusion] via GitHub
• Re: [I] Is it possible to support PyArrow backed UDFs in Comet natively? [datafusion-comet] via GitHub
• Re: [I] Eliminate remaining row<->Arrow round-trip in CometPythonMapInArrowExec [datafusion-comet] via GitHub
• [PR] chore: add `mimalloc` tests to assert `size` functions [datafusion] via GitHub
  • Re: [PR] chore: add `mimalloc` tests to assert `size` functions [datafusion] via GitHub
• [PR] bench: parquet scan with a table schema narrower than a nested column [datafusion] via GitHub
• [PR] refactor: extract parquet projection read plan into its own module [datafusion] via GitHub
  • Re: [PR] refactor: extract parquet projection read plan into its own module [datafusion] via GitHub
  • Re: [PR] refactor: extract parquet projection read plan into its own module [datafusion] via GitHub
  • Re: [PR] refactor: extract parquet projection read plan into its own module [datafusion] via GitHub
  • Re: [PR] refactor: extract parquet projection read plan into its own module [datafusion] via GitHub
  • Re: [PR] refactor: extract parquet projection read plan into its own module [datafusion] via GitHub
  • Re: [PR] refactor: extract parquet projection read plan into its own module [datafusion] via GitHub
  • Re: [PR] refactor: extract parquet projection read plan into its own module [datafusion] via GitHub
• Re: [PR] feat: remove constraint on array of nested elements [datafusion-comet] via GitHub
  • Re: [PR] feat: remove constraint on array of nested elements [datafusion-comet] via GitHub
• Re: [I] Projection pushdown into file scan duplicates non-deterministic functions (regression in 52.0.0) [datafusion] via GitHub
  • Re: [I] Projection pushdown into file scan duplicates non-deterministic functions (regression in 52.0.0) [datafusion] via GitHub
• [PR] fix: don't duplicate volatile expressions when pushing projection into file scan [datafusion] via GitHub
  • Re: [PR] fix: don't duplicate volatile expressions when pushing projection into file scan [datafusion] via GitHub
  • Re: [PR] fix: don't duplicate volatile expressions when pushing projection into file scan [datafusion] via GitHub
  • Re: [PR] fix: don't duplicate volatile expressions when pushing projection into file scan [datafusion] via GitHub
  • Re: [PR] fix: don't duplicate volatile expressions when pushing projection into file scan [datafusion] via GitHub
  • Re: [PR] fix: don't duplicate volatile expressions when pushing projection into file scan [datafusion] via GitHub
  • Re: [PR] fix: don't duplicate volatile expressions when pushing projection into file scan [datafusion] via GitHub
• Re: [I] bug: scalar subquery in RepartitionByExpression crashes with "Subquery N not found" [datafusion-comet] via GitHub
• Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
  • Re: [PR] Feat: add dictionaries as a supported group column type [datafusion] via GitHub
• Re: [PR] Test: add more aggregation focused dictionary sql logic test [datafusion] via GitHub
  • Re: [PR] Test: add more aggregation focused dictionary sql logic test [datafusion] via GitHub
  • Re: [PR] Test: add more aggregation focused dictionary sql logic test [datafusion] via GitHub
  • Re: [PR] Test: add more aggregation focused dictionary sql logic test [datafusion] via GitHub
• [PR] Add shuffle-read fetch metrics and surface per-operator metrics in plan display [datafusion-ballista] via GitHub
  • Re: [PR] Add shuffle-read fetch metrics and surface per-operator metrics in plan display [datafusion-ballista] via GitHub
• [PR] Push xlzmxnmwvkmz [datafusion] via GitHub
• [PR] feat: support `WindowGroupLimitExec` [datafusion-comet] via GitHub
• [I] feat: analyze memory usage for `size` functions [datafusion] via GitHub
  • Re: [I] feat: analyze memory usage for `size` functions [datafusion] via GitHub
  • Re: [I] feat: analyze memory usage for `size` functions [datafusion] via GitHub
  • Re: [I] feat: analyze memory usage for `size` functions [datafusion] via GitHub
• [I] UnresolvedShuffleExec should display the input stage number [datafusion-ballista] via GitHub
  • Re: [I] UnresolvedShuffleExec should display the input stage number [datafusion-ballista] via GitHub
• Re: [I] Support physical execution of Range repartitioning [datafusion] via GitHub
• Re: [PR] feat: Add experimental support for accelerated PyArrow UDFs [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for accelerated PyArrow UDFs [datafusion-comet] via GitHub
  • Re: [PR] feat: Add experimental support for accelerated PyArrow UDFs [datafusion-comet] via GitHub
• Re: [I] Panic when casting `[]` to `FixedSizeList(0, Null)` [datafusion] via GitHub
• [PR] fix: register partitioning scalar subqueries for native shuffle to avoid "Subquery N not found" [datafusion-comet] via GitHub
  • Re: [PR] fix: register partitioning scalar subqueries for native shuffle to avoid "Subquery N not found" [datafusion-comet] via GitHub
  • Re: [PR] fix: register partitioning scalar subqueries for native shuffle to avoid "Subquery N not found" [datafusion-comet] via GitHub
  • Re: [PR] fix: register partitioning scalar subqueries for native shuffle to avoid "Subquery N not found" [datafusion-comet] via GitHub
• [PR] Prune unread nested parquet leaves when a projected column is cast to a narrower type (nested schema pruning) [datafusion] via GitHub
  • Re: [PR] Prune unread nested parquet leaves when a projected column is cast to a narrower type (nested schema pruning) [datafusion] via GitHub
  • Re: [PR] Prune unread nested parquet leaves when a projected column is cast to a narrower type (nested schema pruning) [datafusion] via GitHub
  • Re: [PR] Prune unread nested parquet leaves when a projected column is cast to a narrower type (nested schema pruning) [datafusion] via GitHub
  • [PR] Prune unread nested parquet leaves when a projected column is cast to a narrower type (nested schema pruning) [datafusion] via GitHub
  • Re: [PR] Prune unread nested parquet leaves when a projected column is cast to a narrower type (nested schema pruning) [datafusion] via GitHub
• [PR] Add TPC-H distributed plan-stability test suite [datafusion-ballista] via GitHub
  • Re: [PR] Add TPC-H distributed plan-stability test suite [datafusion-ballista] via GitHub
  • Re: [PR] Add TPC-H distributed plan-stability test suite [datafusion-ballista] via GitHub
• [PR] fix: emit JDK libjvm search path from core build script to fix -ljvm CI link failures [datafusion-comet] via GitHub
  • Re: [PR] fix: emit JDK libjvm search path from core build script to fix -ljvm CI link failures [datafusion-comet] via GitHub
  • Re: [PR] fix: emit JDK libjvm search path from core build script to fix -ljvm CI link failures [datafusion-comet] via GitHub
  • Re: [PR] fix: emit JDK libjvm search path from core build script to fix -ljvm CI link failures [datafusion-comet] via GitHub
  • Re: [PR] fix: emit JDK libjvm search path from core build script to fix -ljvm CI link failures [datafusion-comet] via GitHub
  • Re: [PR] fix: emit JDK libjvm search path from core build script to fix -ljvm CI link failures [datafusion-comet] via GitHub
  • Re: [PR] fix: emit JDK libjvm search path from core build script to fix -ljvm CI link failures [datafusion-comet] via GitHub
• [I] Remove legacy native HDFS client crates and standardize on OpenDAL HDFS [datafusion-comet] via GitHub
  • Re: [I] Remove legacy native HDFS client crates and standardize on OpenDAL HDFS [datafusion-comet] via GitHub
• [I] Support per-SessionContext object store credentials without os.environ (thread-safety) [datafusion-python] via GitHub
  • Re: [I] Support per-SessionContext object store credentials without os.environ (thread-safety) [datafusion-python] via GitHub
  • Re: [I] Support per-SessionContext object store credentials without os.environ (thread-safety) [datafusion-python] via GitHub
  • [I] Support per-SessionContext object store credentials without os.environ (thread-safety) [datafusion-python] via GitHub
• Re: [I] [Feature] Support external Remote Shuffle Service (e.g., Apache Celeborn / Apache Uniffle) [datafusion-ballista] via GitHub
  • Re: [I] [Feature] Support external Remote Shuffle Service (e.g., Apache Celeborn / Apache Uniffle) [datafusion-ballista] via GitHub
• Re: [PR] feat: implement native empty2null spark inner function [datafusion-comet] via GitHub
• Re: [I] CometHashAggregateExec doesn't participate in Spark's AQEPropagateEmptyRelation optimization [datafusion-comet] via GitHub
• Re: [PR] feat: add native distinct-combined collect_list aggregate support [datafusion-comet] via GitHub
• Re: [PR] feat: ADBC-backed Spark DataSource for DataFusion table providers [datafusion-java] via GitHub
• [PR] fix: [DO NOT MERGE] [datafusion-comet] via GitHub
• [PR] feat: prune nested Parquet leaves when the projected schema narrows a nested column [datafusion] via GitHub

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