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• • 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: [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
  • Re: [PR] feat: prune nested Parquet leaves when the projected schema narrows a nested column [datafusion] via GitHub
  • Re: [PR] feat: prune nested Parquet leaves when the projected schema narrows a nested column [datafusion] via GitHub
• [I] chore: DataFusion 54.0.0 [datafusion-comet] via GitHub
• [PR] chore: use Datafusion `substring` [datafusion-comet] via GitHub
  • Re: [PR] chore: use Datafusion `substring` [datafusion-comet] via GitHub
  • Re: [PR] chore: use Datafusion `substring` [datafusion-comet] via GitHub
• Re: [I] [Bug] map_from_arrays / map_from_entries do not enforce null-key rejection or spark.sql.mapKeyDedupPolicy [datafusion-comet] via GitHub
  • Re: [I] [Bug] map_from_arrays / map_from_entries do not enforce null-key rejection or spark.sql.mapKeyDedupPolicy [datafusion-comet] via GitHub
• [PR] chore: move CometCollationSuite to spark-4.1+ test shim [datafusion-comet] via GitHub
• Re: [I] Support WindowGroupLimitExec (window-based limit pushdown) [datafusion-comet] via GitHub
  • Re: [I] Support WindowGroupLimitExec (window-based limit pushdown) [datafusion-comet] via GitHub
  • Re: [I] Support WindowGroupLimitExec (window-based limit pushdown) [datafusion-comet] via GitHub
• [PR] chore: fallback for non-default `spark.sql.mapKeyDedupPolicy` [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback for non-default `spark.sql.mapKeyDedupPolicy` [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback for `spark.sql.mapKeyDedupPolicy` == `LAST_WIN` [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback for `spark.sql.mapKeyDedupPolicy` == `LAST_WIN` [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback for `spark.sql.mapKeyDedupPolicy` == `LAST_WIN` [datafusion-comet] via GitHub
  • Re: [PR] chore: fallback for `spark.sql.mapKeyDedupPolicy` == `LAST_WIN` [datafusion-comet] via GitHub
• Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
  • Re: [PR] Use `concat_elements_dyn` from `arrow-rs` [datafusion] via GitHub
• Re: [I] Move CometCollationSuite into the spark-4.1+ test shim to avoid per-version duplication [datafusion-comet] via GitHub
• [PR] docs: remove duplicate String to TimestampNTZ section from cast guide [datafusion-comet] via GitHub
  • Re: [PR] docs: remove duplicate String to TimestampNTZ section from cast guide [datafusion-comet] via GitHub
• Re: [PR] feat: name incompatible aggregate functions in mixed-execution fallback reason [datafusion-comet] via GitHub
• Re: [PR] feat(scheduler): call try_acquire_job on active cache miss in update_task_statuses [datafusion-ballista] via GitHub
  • Re: [PR] feat(scheduler): call try_acquire_job on active cache miss in update_task_statuses [datafusion-ballista] via GitHub
• [PR] feat: enable mixed partial/final execution for sum and non-decimal avg [datafusion-comet] via GitHub
  • Re: [PR] feat: enable mixed partial/final execution for sum and non-decimal avg [datafusion-comet] via GitHub
  • Re: [PR] feat: enable mixed partial/final execution for sum and non-decimal avg [datafusion-comet] via GitHub
• [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub
  • Re: [PR] feat: add BatchNormalizer: re-chunk data source batches by rows and bytes (target_batch_size_bytes) [datafusion] via GitHub

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