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• • Re: [PR] Intermediate result blocked approach to aggregation memory management [datafusion] via GitHub
• Re: [I] store partitioning in dynamic filters and remove CASE hash(expr) [datafusion] via GitHub
  • Re: [I] store partitioning in dynamic filters and remove CASE hash(expr) [datafusion] via GitHub
• Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
  • Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
  • Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
  • Re: [PR] fix: scope HashJoinExec build_time to hash-table construction only [datafusion] via GitHub
• [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
  • Re: [PR] WIP: DO NOT REVIEW: Benchmark enabling parquet filter pushdown by default with one-shot row group I/O [datafusion] via GitHub
• Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
  • Re: [PR] perf: Extend WindowTopN to `dense_rank` [datafusion] via GitHub
• Re: [PR] fix: preserve global limit for multi-partition fetch [datafusion] via GitHub
• [PR] perf(scheduler): merge a task's sorted partitions before the shuffle write [datafusion-ballista] via GitHub
  • Re: [PR] perf(scheduler): merge a task's sorted partitions before the shuffle write [datafusion-ballista] via GitHub
• Re: [PR] fix(spark): derive pmod's decimal result type from the declared arguments [datafusion] via GitHub
  • Re: [PR] fix(spark): derive pmod's decimal result type from the declared arguments [datafusion] via GitHub
  • Re: [PR] fix(spark): derive pmod's decimal result type from the declared arguments [datafusion] via GitHub
  • Re: [PR] fix(spark): derive pmod's decimal result type from the declared arguments [datafusion] via GitHub
  • Re: [PR] fix(spark): derive pmod's decimal result type from the declared arguments [datafusion] via GitHub
  • Re: [PR] fix(spark): derive pmod's decimal result type from the declared arguments [datafusion] via GitHub
• [I] Unify integer decimal sign and width assembly with numeric formatting [datafusion] via GitHub
  • Re: [I] Unify integer decimal sign and width assembly with numeric formatting [datafusion] via GitHub
  • Re: [I] Unify integer decimal sign and width assembly with numeric formatting [datafusion] via GitHub
  • Re: [I] Unify integer decimal sign and width assembly with numeric formatting [datafusion] via GitHub
  • Re: [I] Unify integer decimal sign and width assembly with numeric formatting [datafusion] via GitHub
• [PR] fix: reject zero parallel parquet row group writers [datafusion] via GitHub
  • Re: [PR] fix: reject zero parallel parquet row group writers [datafusion] via GitHub
• Re: [I] The config values aren't checked [datafusion] via GitHub
  • Re: [I] The config values aren't checked [datafusion] via GitHub
  • Re: [I] The config values aren't checked [datafusion] via GitHub
• Re: [I] Expr simplifier doesn't simplify exprs that are same if you swap lhs with rhs regardless of cycles [datafusion] via GitHub
  • Re: [I] Expr simplifier doesn't simplify exprs that are same if you swap lhs with rhs regardless of cycles [datafusion] via GitHub
• Re: [I] Bug: ScalarSubqueryToJoin fails with "No field named __always_true" when CTE inside correlated scalar subquery [datafusion] via GitHub
• [PR] perf(core): push a consumer's row limit into RangeShuffleReaderExec [datafusion-ballista] via GitHub
  • Re: [PR] perf(core): push a consumer's row limit into RangeShuffleReaderExec [datafusion-ballista] via GitHub
• Re: [PR] fix: ScalarSubqueryToJoin fails when CTE inside correlated scalar subquery [datafusion] via GitHub
  • Re: [PR] fix: ScalarSubqueryToJoin fails when CTE inside correlated scalar subquery [datafusion] via GitHub
• Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion] via GitHub
  • Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion] via GitHub
  • Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion] via GitHub
  • Re: [PR] fix: avoid double-counting build_time in HashJoinExec elapsed_compute [datafusion] via GitHub
• Re: [PR] perf: resolve schema fields by name index instead of scanning [datafusion] via GitHub
  • Re: [PR] perf: resolve schema fields by name index instead of scanning [datafusion] via GitHub
  • Re: [PR] perf: resolve schema fields by name index instead of scanning [datafusion] via GitHub
  • Re: [PR] perf: resolve schema fields by name index instead of scanning [datafusion] via GitHub
• [PR] Add per-aggregate accumulator phase metrics [datafusion] via GitHub
  • Re: [PR] Add per-aggregate accumulator phase metrics [datafusion] via GitHub
  • Re: [PR] Add per-aggregate accumulator phase metrics [datafusion] via GitHub
  • Re: [PR] Add per-aggregate accumulator phase metrics [datafusion] via GitHub
  • Re: [PR] Add per-aggregate accumulator phase metrics [datafusion] via GitHub
  • Re: [PR] Add per-aggregate accumulator phase metrics [datafusion] via GitHub
• Re: [PR] Fix self join leaf expressions [datafusion] via GitHub
  • Re: [PR] Fix self join leaf expressions [datafusion] via GitHub
• [PR] chore(deps): bump bytesize from 2.4.2 to 2.7.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump bytesize from 2.4.2 to 2.7.0 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump rustls from 0.23.42 to 0.23.43 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump rustls from 0.23.42 to 0.23.43 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump async-trait from 0.1.91 to 0.1.92 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump async-trait from 0.1.91 to 0.1.92 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump clap from 4.6.4 to 4.6.6 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump clap from 4.6.4 to 4.6.6 [datafusion-ballista] via GitHub
• [PR] chore(ci): bump swatinem/rust-cache from 2.9.1 to 2.9.2 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump swatinem/rust-cache from 2.9.1 to 2.9.2 [datafusion-ballista] via GitHub
• [PR] chore(ci): bump astral-sh/setup-uv from 9.0.0 to 10.0.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump astral-sh/setup-uv from 9.0.0 to 10.0.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump astral-sh/setup-uv from 9.0.0 to 10.0.1 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump lru from 0.18.1 to 0.18.2 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump lru from 0.18.1 to 0.18.2 [datafusion-ballista] via GitHub
• [PR] chore(ci): bump taiki-e/install-action from 2.85.11 to 2.85.13 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.85.11 to 2.85.13 [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump taiki-e/install-action from 2.85.11 to 2.85.13 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump http from 1.4.2 to 1.5.0 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump http from 1.4.2 to 1.5.0 [datafusion-ballista] via GitHub
• [PR] chore(deps): bump futures from 0.3.33 to 0.3.34 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump futures from 0.3.33 to 0.3.34 [datafusion-ballista] via GitHub
• [PR] chore(ci): bump the github-codeql group with 2 updates [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump the github-codeql group across 1 directory with 2 updates [datafusion-ballista] via GitHub
  • [PR] chore(ci): bump the github-codeql group with 2 updates [datafusion-ballista] via GitHub
  • Re: [PR] chore(ci): bump the github-codeql group with 2 updates [datafusion-ballista] via GitHub
• [PR] chore(deps): bump aws-config from 1.10.0 to 1.10.1 [datafusion-ballista] via GitHub
  • Re: [PR] chore(deps): bump aws-config from 1.10.0 to 1.10.1 [datafusion-ballista] via GitHub
• Re: [PR] DRAFT investigate benchmark 21566 [datafusion] via GitHub
• Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
  • Re: [PR] Cache reusable Parquet pruning setup across files with the same schema [datafusion] via GitHub
• Re: [I] Include `HashJoinExec` in the metrics user-guide [datafusion] via GitHub
• Re: [PR] docs: add HashJoinExec metrics to user guide [datafusion] via GitHub
• Re: [I] PostgreSQL compatibility: `SIMILAR TO` should treat `%` as a wildcard [datafusion] via GitHub
• Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
  • Re: [PR] fix: translate SQL wildcards in SIMILAR TO patterns (#22263) [datafusion] via GitHub
• Re: [PR] refactor(hash-aggr): Disable the legacy aggregation implementation. [datafusion] via GitHub
• Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): Let partial-reduce mode aggregation error under memory limit [datafusion] via GitHub
• Re: [PR] refactor(hash-aggr): grouping sets routing [datafusion] via GitHub
• Re: [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
  • Re: [PR] refactor(hash-aggr): treat soft limit as hint [datafusion] via GitHub
• [PR] fix: Streaming aggregation produces wrong result with grouping sets [datafusion] via GitHub
  • Re: [PR] fix: Streaming aggregation produces wrong result with grouping sets [datafusion] via GitHub
  • Re: [PR] fix: Streaming aggregation produces wrong result with grouping sets [datafusion] via GitHub
  • Re: [PR] fix: Streaming aggregation produces wrong result with grouping sets [datafusion] via GitHub
  • Re: [PR] fix: Streaming aggregation produces wrong result with grouping sets [datafusion] via GitHub
  • Re: [PR] fix: Streaming aggregation produces wrong result with grouping sets [datafusion] via GitHub
  • Re: [PR] fix: Streaming aggregation produces wrong result with grouping sets [datafusion] via GitHub
• [I] Streaming aggregation produces wrong result with grouping sets [datafusion] via GitHub
  • Re: [I] Streaming aggregation produces wrong result with grouping sets [datafusion] via GitHub
• Re: [I] ComposedPhysicalExtensionCodec should not rely on positional encoding [datafusion] via GitHub
  • Re: [I] ComposedPhysicalExtensionCodec should not rely on positional encoding [datafusion] via GitHub
  • Re: [I] ComposedPhysicalExtensionCodec should not rely on positional encoding [datafusion] via GitHub
• Re: [PR] Add focused benchmark for Parquet pruning setup cache [datafusion] via GitHub
  • Re: [PR] Add focused benchmark for Parquet pruning setup cache [datafusion] via GitHub
• Re: [PR] Optimize existence-only right semi and anti joins [datafusion] via GitHub
• Re: [PR] feat(lambda): support map non empty nulls cleanup for `HigherOrderFunctionExpr` [datafusion] via GitHub
• Re: [PR] fix: flush FilterExec output for unbounded inputs [datafusion] via GitHub
  • Re: [PR] fix: flush FilterExec output for unbounded inputs [datafusion] via GitHub
• [PR] Perf/19938 grouped flat array [datafusion] via GitHub
  • Re: [PR] Perf/19938 grouped flat array [datafusion] via GitHub
  • Re: [PR] Perf/19938 grouped flat array [datafusion] via GitHub
  • Re: [PR] Perf/19938 grouped flat array [datafusion] via GitHub
  • Re: [PR] Perf/19938 grouped flat array [datafusion] via GitHub
  • Re: [PR] Perf/19938 grouped flat array [datafusion] via GitHub
  • Re: [PR] Perf/19938 grouped flat array [datafusion] via GitHub
  • Re: [PR] Perf/19938 grouped flat array [datafusion] via GitHub
  • Re: [PR] Perf/19938 grouped flat array [datafusion] via GitHub
  • Re: [PR] Perf/19938 grouped flat array [datafusion] via GitHub
• Re: [I] [DISCUSSION] Restore Flight SQL support as a pluggable query frontend [datafusion-ballista] via GitHub
• Re: [PR] feat(core): quantile sketching for any fixed-width ORDER BY key [datafusion-ballista] via GitHub
  • Re: [PR] feat(core): quantile sketching for any fixed-width ORDER BY key [datafusion-ballista] via GitHub
• [PR] docs: Add docstring examples to the unparser module [datafusion-python] via GitHub
• [I] Missing docstring examples in the `unparser` module [datafusion-python] via GitHub
• [PR] feat: decimal support for percentile_cont and median [datafusion] via GitHub

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